Draft guidance consultation

Alzheimer's disease is a progressive neurological condition, and is estimated to be the most common type of dementia. Research suggests that it affects about 6 in 10 people with dementia, although this estimate is uncertain. Alzheimer's disease is also the leading cause of death in the UK. It is thought to be caused by the abnormal build-up of proteins in and around brain cells. One of these proteins is called amyloid beta. Deposits of amyloid proteins form plaques around brain cells and disrupt neurone function. The major risk factor for dementia is age. More than 95% of people affected are over 65 years. The APOE4 gene is associated with an increased risk of developing Alzheimer's disease. Alzheimer's disease usually develops slowly from initial symptoms. Progression is characterised by deterioration in cognition and functional ability, and associated behavioural and psychiatric symptoms. The patient experts explained that Alzheimer's disease affects people in different ways and advised against making general assumptions for all people with the condition. The patient expert statements described the loss of independence and confidence when they had their diagnosis of Alzheimer's disease, and the hope that a first potential disease-modifying treatment would bring. The patient experts also identified the significant role of carers in looking after people with Alzheimer's disease, and the life-changing effects of the condition on them. Statements from carers of people with the condition described the stress and "desperation" associated with becoming a full-time carer. The clinical experts explained that Alzheimer's disease is progressive, complex, and not fully understood. They added that the underlying pathology starts at least 10 years before symptoms present. The committee recalled the first-hand experiences shared by people with Alzheimer's disease. It concluded that the condition is progressive and debilitating, and affects people in different but significant ways. It also noted the substantial burden on the families and carers of people with the condition.

NICE's guideline on assessment, management and support for people living with dementia and their carers outlines recommendations for diagnosis of Alzheimer's disease in the NHS. But, the clinical and patient experts explained that NICE's guidelines are not always followed in clinical practice. This is because of challenges in accessing the recommended diagnostics and specialist services in some areas. Also, NICE's guideline does not include mild cognitive impairment (MCI) caused by Alzheimer's disease, which refers to the set of symptoms that occur before the dementia stage of the condition. Guidelines from the National Institute on Aging and the Alzheimer's Association in the US define the MCI stage as mild changes in memory and thinking that are noticeable and measurable, and do not disrupt a person's day-to-day life. Mild dementia caused by Alzheimer's disease is defined as impairments in memory, thinking and behaviours that decrease a person's ability to function in day-to-day life. If the diagnosis is uncertain and Alzheimer's disease is suspected, NICE's guideline on dementia recommends considering a positron emission tomography (PET) scan or cerebrospinal fluid (CSF) test to check for presence of amyloid beta. The number of people diagnosed with mild dementia because of Alzheimer's disease at any one time in England is about 80,000. More than a third of people with all types of dementia in England do not have a dementia diagnosis. The number of people with MCI caused by Alzheimer's disease is unknown. But it is estimated to be present in about 5% of people over 65 years and about 25% of people over 80 years. The clinical experts noted that people with MCI caused by Alzheimer's disease will eventually progress to having dementia. In response to the draft guidance, the Faculty of Public Health in the UK noted there is no consensus that having a positive amyloid beta test will always lead to Alzheimer's disease. The clinical experts also noted that most people with MCI do not have a confirmed diagnosis, and that there are no standardised measures to clearly separate the disease stages. They explained that some people diagnosed with MCI caused by Alzheimer's disease in the NHS are followed up. But, many people are discharged from memory clinics back to primary care, with the advice to be rereferred once symptoms progress. The company cited research showing that about 90% of people with dementia would want to have an accurate diagnosis, even if there were no treatments available. The committee noted that there are challenges with the diagnosis of MCI and mild dementia caused by Alzheimer's disease in NHS clinical practice. But, it recognised that diagnostic guidelines were not within its remit.

There are currently no pharmacological treatments for MCI caused by Alzheimer's disease. For later stages of the disease, NICE's guideline on dementia and NICE's technology appraisal guidance on donepezil, galantamine, rivastigmine and memantine for the treatment of Alzheimer's disease recommend as options:

• the acetylcholinesterase inhibitors donepezil hydrochloride, galantamine and rivastigmine, all alone, for mild to moderate disease

• memantine alone:

  • for moderate Alzheimer's disease, when there is an intolerance or contraindication to acetylcholinesterase inhibitors

  • for severe Alzheimer's disease.
    
    For people with an established diagnosis of Alzheimer's disease already on an acetylcholinesterase inhibitor, the NICE guideline recommends as options:

• adding memantine for moderate disease

• adding memantine for severe disease.

The patient, clinical and commissioning experts highlighted that using lecanemab (and other disease-modifying treatments) in the NHS would need significant changes to the existing diagnostic pathway (see section 3.2). An outline of the new diagnostic pathway can be seen in the committee papers in the submission from NHS England. The changes recommended include:

• establishing specialist diagnostic clinics

• confirmatory diagnostic tests for amyloid beta pathology using cerebral spinal fluid analysis (lumbar puncture) or with a PET‑CT scan

The main source of clinical-effectiveness evidence for lecanemab was the Clarity AD trial. This was a phase 3, randomised placebo-controlled superiority double-blind trial. It investigated the efficacy of lecanemab compared with placebo in people aged 50 to 90 years with early Alzheimer's disease dementia. The trial recruited 1,795 people. A total of 1,486 completed the 18‑month study and, of these, 729 were randomised to lecanemab and 757 were randomised to placebo. The mean age was 71 years and 52% of people in the trial were women. The trial was carried out in 235 sites around the world, including 8 sites in the UK. The primary outcome was change in clinical dementia rating scale sum of boxes (CDR‑SB) at 18 months from baseline. This 5‑point scale characterises cognitive and functional performance across 6 domains (memory, orientation, judgement and problem-solving, community affairs, home and hobbies, and personal care). At 18 months, people in the lecanemab arm had an adjusted mean change in CDR‑SB of 1.213 compared with 1.663 for placebo. This resulted in an adjusted mean difference between arms of -0.451 (-27.1%, p=0.00005) in the intention-to-treat full analysis set. The company explained that this meant lecanemab reduced the decline in CDR‑SB by 27% at 18 months. The committee questioned the appropriateness of assuming that missing values in the trial were missing at random. The company explained that it explored this assumption in sensitivity analyses, including assuming that people who were missing to follow up progressed to moderate AD. It noted that varying this assumption had only a very small impact on the cost-effectiveness results. At the second committee meeting, the company shared clinical-effectiveness results for the population indicated in the marketing authorisation (so excluded people who were APOE4 homozygotes). At 18 months, the results for people in the lecanemab arm adjusted to exclude APOE4 homozygotes were:

• a mean change in CDR‑SB of 1.151 compared with 1.730 for placebo, resulting in a mean difference between arms of -0.579 (-33.5%, p<0.00001)

• a mean difference in Alzheimer's Disease Assessment Scale-Cognitive subscale 14 (ADAS‑Cog14) of -1.633, equivalent to a 28% less decline (p<0.001)

• a mean difference in Alzheimer's Disease Cooperative Study – Activities of Daily Living for Mild Cognitive Impairment (ADCS MCI‑ADL) of 2.234, equivalent to a 39% less decline (p<0.0001).
  
  The most common adverse reactions in Clarity AD (excluding APOE4 homozygotes) were infusion-related reactions, ARIA‑H, falls, headache and ARIA‑E. The company also shared the results from other secondary and health-related quality-of-life outcomes in Clarity AD. But the company considers these results confidential, so they are not reported here. The committee concluded that Clarity AD was relevant for the decision problem and for investigating lecanemab for treating MCI or mild dementia caused by Alzheimer's disease.

The EAG and the submission from the Faculty of Public Health questioned whether the treatment effect of lecanemab was clinically meaningful. The Faculty of Public Health submission explained that literature suggests a minimum clinically important CDR‑SB difference is 0.98 for MCI and 1.63 for mild dementia caused by Alzheimer's. The treatment effect seen with lecanemab in Clarity AD was smaller than both of these values. It also noted that the observed treatment effect for lecanemab at 18 months was about half of the treatment effect that is seen with current treatments at 6 months. But, the patient and clinical experts explained that it was inappropriate to compare the treatment effect of lecanemab with that of the acetylcholinesterase inhibitors and memantine. This was because they noted that lecanemab is disease-modifying and has a different mechanism of action from these treatments. The submissions from the Royal College of Psychiatrists and Association of British Neurologists said that the observed treatment effect of lecanemab in Clarity AD was clinically meaningful. They noted that it equated to a slowing in disease progression of between 4 and 6 months. Clinical experts consulted by the EAG also identified that a difference in CDR‑SB of 0.451 would be seen as a clinically meaningful change by people with Alzheimer's disease. The company said that lecanemab is a disease-modifying treatment, so the full long-term benefits of lecanemab may not be apparent at 18 months. It showed evidence that, at 24 months, people who had started Clarity AD on lecanemab had a 16% slower decline in CDR‑SB than people who switched from placebo to lecanemab after the trial at 18 months. The committee noted that there were different rates of attrition between the 2 groups, which may contribute to some of the observed differences. It also noted the observed treatment effect of 0.451 was the average effect across the full intention-to-treat population in the trial. The patient and clinical experts noted that Alzheimer's disease is a highly heterogeneous disease. So, some people may experience a clinically meaningful slowing of disease progression when having lecanemab, but others may not. They added that a larger treatment effect may also be seen at earlier disease stages. The clinical experts noted that CDR‑SB is commonly used as an outcome measure for moderate to severe Alzheimer's disease. But, they explained that it is not very sensitive in detecting changes in early Alzheimer's disease, particularly for people with MCI. The committee noted that 1 increment on the CDR‑SB scale is 0.5. The clinical experts added that a 0.5 change in CDR‑SB can mean a change from benign forgetfulness to losing daily independence for some people. So, they said that a 0.5 change in CDR‑SB can be clinically meaningful, particularly for younger people or people with fewer comorbidities. The patient and clinical experts agreed that a 6‑month delay in disease progression was a clinically meaningful difference. They thought that a 4- or 5‑month difference was also likely to be meaningful. The patient experts added that any slowing of disease worsening would be meaningful because it would mean more time socialising, driving and being independent.

At the second committee meeting, the committee considered the clinical-effectiveness results for the population included in the marketing authorisation (MCI and mild dementia due to Alzheimer's disease in adults that are APOE4 heterozygotes or non-carriers). The adjusted mean difference in CDR‑SB was -0.579 between lecanemab and placebo (see section 3.5). The committee noted that the treatment effect of lecanemab compared with placebo was larger in the population included in the marketing authorisation than in full population that was included in Clarity AD. The company shared a breakdown of CDR‑SB changes by threshold CDR‑SB score and CDR‑SB domain. The results are commercial in confidence and cannot be reported here. The EAG noted that the results supported the presence of a treatment effect of lecanemab across CDR‑SB domains and levels of cognitive or functional worsening. But it noted that there was some variation in the size of the observed effect. The committee concluded that lecanemab had a clinically significant treatment effect. But, it noted that the treatment effect was small. It also noted that there was a lack of sensitivity for CDR‑SB to detect disease changes for people with MCI.

The EAG noted that treatments used alongside lecanemab in Clarity AD were different to those specified in the decision problem and EAG's clinical expert opinion of NHS clinical practice. The decision problem identified that non-pharmacological treatments are used for people with MCI caused by Alzheimer's disease and acetylcholinesterase inhibitors are used for people with mild dementia caused by Alzheimer's disease. The EAG's clinical expert largely agreed, estimating that:

• For people with MCI caused by Alzheimer's disease, a minority have acetylcholinesterase inhibitors and almost none have memantine.

• For people with mild dementia caused by Alzheimer's disease, 70% have acetylcholinesterase inhibitors and 5% have memantine.
  
  The company shared the proportion of people in Clarity AD who had concomitant treatment with acetylcholinesterase inhibitors and memantine in Clarity AD. The figures are confidential and cannot be reported here. But they argued that the figures largely aligned with real-world usage figures in Europe from Garcia et al. (2023). The study reported that:

• For people with MCI caused by Alzheimer's disease, 31% had acetylcholinesterase inhibitors and 8% had memantine.

• For people with mild dementia caused by Alzheimer's disease, 89% had acetylcholinesterase inhibitors and 7% to 21% had memantine.
  
  At the EAG's request, the company shared CDR-SB results from Clarity AD for people with MCI excluding people who had an acetylcholinesterase inhibitors or memantine. It also shared results for people with mild dementia excluding people who had memantine. The results are confidential and cannot be reported here. The EAG noted that there was a reduction in the treatment effect of lecanemab when people who had acetylcholinesterase inhibitors or memantine were excluded from the analysis. But, the EAG noted that these results should be interpreted with caution because of the small sample size. The clinical experts explained that lecanemab is given alongside current treatments and its mechanism of action is different from other treatments. So, they would not expect the use of other treatments to significantly change the treatment effect of lecanemab. The committee recalled that people with MCI caused by Alzheimer's disease have no current treatment options. But, people with mild dementia caused by Alzheimer's disease can have an acetylcholinesterase inhibitor (see section 3.3). It noted that there were differences in the treatments used as standard care in Clarity AD compared with what is used in NHS clinical practice. The committee concluded that it was acceptable to use the Clarity AD trial population for decision making. But it acknowledged that the differences in the treatments used in Clarity AD compared with NHS clinical practice increased the uncertainty.

The EAG questioned the generalisability of Clarity AD to NHS clinical practice. The clinical expert consulted by the EAG noted that the proportion of people with MCI and mild dementia caused by Alzheimer's disease in the UK is likely different to that reported in Clarity AD. The trial reported that 62% of people had MCI and 38% had mild dementia, which is what the company assumed in its economic model base case. But based on the clinical expert opinion, the EAG assumed that 38% of people had MCI and 62% had mild dementia in its base case. The EAG's clinical expert also noted that the primary outcome of CDR‑SB is not used in UK clinical practice. Submissions from the Faculty of Public Health questioned whether functional unblinding might be a concern because of very different rates of infusion reactions for lecanemab (26.4%) and placebo (7.4%). This means that people in the trial may have been able to guess whether they were having lecanemab or placebo. Some of the outcome measures in the clinical trial were informed by patient or carer judgements, so this could have biased the results. The submissions also noted that baseline characteristics and the way people were diagnosed in the trial were different to the UK. The company noted that the baseline characteristics of people in Clarity AD were thought to be generalisable to the UK by the clinical experts it consulted. But, in response to the draft guidance, the Faculty of Public Health did not think that Clarity AD was generalisable to the UK. It noted the difference in average age from Clarity AD (71 years) and a recent UK real-world study (Cognitive Function and Ageing Study 2, 83 years). It also noted that only 8% of a US‑based sample of people with early Alzheimer's disease would be eligible for Clarity AD. During the committee meeting, the clinical experts highlighted that MCI caused by Alzheimer's disease is rarely diagnosed in the UK (see section 3.2), so the number of people with this condition is not known. They added that the number of people diagnosed with MCI will likely increase if lecanemab is recommended. The clinical experts explained that, although CDR‑SB is not used in UK clinical practice, there is no consensus on what measure should be used. They also added that they would expect the observed treatment effect of lecanemab to be realised in UK clinical practice.

At the first committee meeting, the committee noted that it would like to see estimates from clinical experts on what the introduction of lecanemab would do to the number of people diagnosed with MCI or mild dementia caused by Alzheimer's disease. For the second committee meeting, the company consulted 3 clinical experts. All experts expected that the proportion of people with MCI would increase over time because of knowledge of and access to treatments. One clinical expert said that the initial proportion would reflect the EAG's base case. So, the company updated its base case to align with the EAG's base case. The committee considered whether Clarity AD was generalisable to UK clinical practice. It recalled its conclusion on the generalisability of trial comparators (see section 3.7). It noted that the proportion of people with MCI and mild dementia caused by Alzheimer's disease in the UK is uncertain and likely to change. But it thought that the approach used in the EAG' base case and company's updated base case was reasonable. The committee noted that there were differences between the population included in Clarity AD and the population that would be eligible for lecanemab in NHS clinical practice. The committee thought that this was a source of uncertainty but that it was appropriate to use the results of Clarity AD in the model.

At the first committee meeting, the company shared treatment-effectiveness results for lecanemab compared with placebo from Clarity AD, split by subgroups for APOE4 carrier status and age. At the second committee meeting, the committee did not consider the results for APOE4 homozygotes because this group is excluded from the marketing authorisation. The adjusted mean differences in CDR‑SB by APOE4 carrier status between lecanemab and placebo groups were:

• non-carriers: -0.75 (41% slowing of decline)

• heterozygote, 1 copy of the gene: -0.50 (30% slowing of decline)

• homozygote, 2 copies of the gene: 0.28 (22% faster decline, confidence interval crosses zero).
  
  The adjusted mean differences in CDR‑SB for the full population included in Clarity AD, by age at baseline, were:

• 75 years and over: -0.72 (40% slowing of decline)

• 65 to 74 years: -0.37 (23% slowing of decline)

• under 65 years: -0.08 (6% slowing of decline, confidence interval crosses zero).
  
  The committee questioned whether the larger estimated treatment effect for people over 75 years was consistent with expert opinion that people in earlier disease stages may have a larger treatment effect (see section 3.6). The company explained that the results should be interpreted with caution because of small patient numbers in each subgroup. The clinical experts explained that the result might be because there is a larger proportion of people who are homozygous or heterozygous for APOE4 in the younger age categories. The clinical experts noted that this is expected because being homozygous or heterozygous for APOE4 increases the risk of having Alzheimer's disease at a younger age. The committee noted that age was not a stratification variable within the trial, meaning that there could have been imbalances in effect modifiers in the subgroups by age. The company gave additional detailed subgroup results at the second committee meeting, alongside further explanations that are confidential and cannot be reported here. The committee concluded that it was unable to draw meaningful conclusions from the subgroup results by age. This was because of the lack of statistical significance, and small sample sizes. The committee noted that because age is a protected characteristic, it would need to be very certain that any recommendations based on age were appropriate. Because of the limitations of the subgroup analyses, and because the experts have outlined that lecanemab leads to clinical benefit for people of all ages, it concluded that it did not have this certainty.

The company developed a Markov model with 5 mutually exclusive health states to estimate the cost effectiveness of lecanemab compared with placebo. The states were MCI caused by Alzheimer's disease, mild dementia caused by Alzheimer's disease, moderate dementia caused by Alzheimer's disease, severe dementia caused by Alzheimer's disease and death. People were modelled to move between all health states besides the death state, which was absorbing. The model had a monthly cycle length and a lifetime time horizon. Health-state membership of people in the model was derived using cohort simulation in discrete time. Two separate but identical health-state structures were used for people in the community setting and people in residential care. People were modelled to start in the community setting and could then move to residential care, but could not move back to community care once in residential care. The model included acquisition, administration, monitoring, diagnostic testing, symptomatic treatment, adverse event (ARIA-E, ARIA-H and infusion reactions), and direct medical and non-medical care costs. The committee considered whether it would be preferable for the company to have developed a patient-level simulation model. It noted that such an approach may have better reflected the potential importance of patient heterogeneity on the treatment effect. But the committee thought that the extent to which this is important for cost-effectiveness results is not clear. The committee concluded that the company's model structure reflected health states relevant to the decision problem and natural history of Alzheimer's disease. It concluded that the model structure was acceptable for decision making, taking into account the uncertainty outlined above.

In the company's model, the company assumed that most people progressed to worse health states over time. But, it allowed a proportion of the cohort to transition to better health states. For example, transition from the mild dementia caused by Alzheimer's disease health state to the MCI caused by Alzheimer's disease health state was possible. The EAG questioned the clinical validity of this assumption because the clinical experts said that Alzheimer's disease is a progressive disease. Also, lecanemab slows or delays progression to more severe health states, rather than reversing progression. The EAG shared a scenario analysis that removed transitions to better health states (that is, removed a person's ability to have temporary improvements in their Alzheimer's disease), which substantially increased the incremental cost-effectiveness ratio (ICER). The company explained that its approach was consistent with observed trial data, literature and expert opinion. It also noted that temporary improvements in the condition were seen in patient-level longitudinal data from the National Alzheimer's Coordinating Center (NACC, see section 3.12). It added that the model had a short monthly cycle length and movements to improved health states were temporary. It emphasised that the proportion of people who moved from worse to better health states was very small and for a short period of time. The clinical experts explained that it was possible for rare and short periods of improvement to occur. But overall people with Alzheimer's disease will progress to more severe disease over time. The committee noted that Alzheimer's disease is progressive. It thought that the observed changes may be because of measurement variability in clinician-reported CDR‑SB or variability in a person's condition, rather than an improvement in the condition. It noted that including backward transitions was less important than accurate health-state occupancy generated in the model when compared with the trial. The committee concluded that the company's approach to modelling, in which some people had temporary improvements in their disease, was appropriate. It noted that overall direction for people with Alzheimer's disease was disease progression, and that modelled outcomes were consistent with the trial.

At the first committee meeting, the company in its model assumed that transition probabilities were constant (did not change over time) for the time horizon of the model. For the first 18 months, it used transition probabilities estimated from Clarity AD data for both lecanemab and placebo. After 18 months, it based transition probabilities on Potashman et al. (2021) for placebo. This study used NACC data to estimate progression rates for people with confirmed amyloid at different stages of Alzheimer's disease. The EAG questioned the validity of the company's original approach because the Clarity AD data showed increases in people moving between health states over time. Increases over time would not be captured with constant transition probabilities. At the second committee meeting, the company changed its base case to use a multistate survival analysis to estimate transition probabilities that changed over time for the first 18 months in the model. It took this approach because smoothed hazard plots for the indicated population showed evidence of hazards changing over time. The model included a Weibull distribution for transitions from MCI to mild dementia, from mild to moderated dementia and from mild dementia to MCI. It included an exponential distribution for transitions from moderate to mild dementia. The EAG noted that the updated approach from the company was appropriate, but it had concerns with the face validity of the modelled outcomes (see section 3.13). The committee concluded that the company's updated approach to include transition probabilities that changed over time was appropriate.

At the first committee meeting, the EAG thought that the company's modelling approach overestimated the benefits of lecanemab. The EAG explained that about half of the modelled quality-adjusted life year (QALY) gain in the company's base case was because of survival gains. The clinical experts explained that a survival benefit with lecanemab was plausible because mortality increases as dementia progresses. So, lecanemab could increase survival if people spent more time in the MCI health state before progressing to dementia. But, the clinical experts noted that it was not possible to quantify the size of any survival benefit. The committee concluded that it would like to see transition probabilities used that lead to outcomes and mortality benefit consistent with trial data and clinical expectations. At the second committee meeting, the company provided an updated model to address the committee's and EAG's concerns about the face validity of the model outcomes. It had:

• updated the modelled population to align with the indicated population (that is, with APOE4 homozygotes removed)

• accepted the EAG's preference for the proportion of people with MCI and mild dementia caused by Alzheimer's disease in the model (see section 3.8)

• adopted the multistate survival model in its base case (see section 3.12)

• applied a Weibull distribution to transitions from MCI to mild dementia, from mild to moderate dementia and from mild dementia to MCI

• applied an exponential distribution to transitions from moderate to mild dementia

• used the mortality ratio for people with MCI compared with the general population (0.63) from Crowell et al. 2023 to estimate MCI mortality in the model.
  
  The company shared information comparing health-state occupancy from the updated economic model and Clarity AD data. The figures are commercial in confidence and cannot be reported here. But the company explained that the differences in health-state occupancy were small and that the model and the trial aligned. The EAG did not agree with the company that the latest company model accurately predicted health-state occupancy. It noted the model underestimated occupancy of MCI and mild dementia states and overestimated occupancy of moderate dementia, severe dementia and death states. It thought that this could have biased the results in favour of lecanemab. The EAG's updated base case assumed that having lecanemab would not affect the proportion of people who moved directly from mild dementia to severe dementia compared with standard care. It also assumed that mortality for people with MCI would be the same as for people without Alzheimer's disease. This was instead of using the figure from Crowell et al. used by the company. The committee concluded that it was appropriate to use general population mortality for MCI, as in the EAG's base case. This was because the clinical experts explained that people eligible for treatment will mostly be asymptomatic and not be considered frail (see section 3.17). The committee noted that it was uncertain whether having lecanemab would affect the proportion of people who moved directly from mild dementia to severe dementia. It noted that:

• The ICER increased if it was assumed that treatment with lecanemab did not have any impact on moving from mild to severe dementia.

• Both the company's and EAG's ICER estimates were above the threshold considered a cost-effective use of NHS resources.
  
  The committee thought that the company's updated model more accurately estimated health-state occupancy compared with Clarity AD data than the model at the first committee meeting. It thought that the updated model was suitable for decision making but associated with substantial uncertainty.

Clarity AD did not include a treatment stopping rule for lecanemab. This meant that lecanemab was not stopped when a person's Alzheimer's disease progressed to moderate dementia. People continued lecanemab for the full 18‑month trial duration unless they stopped treatment because of

• adverse events

• loss to follow up

• personal choice

• withdrawal of consent

• other reasons.
  
  But the company's base case included 2 stopping rules for lecanemab. The first assumed that people stopped treatment once they enter residential care. The company explained that this stopping rule was based on feedback from UK clinical experts. The clinical experts in the committee meeting explained that some people move to residential care because of disease progression. But some people move to residential care for different reasons, such as their carers' capacity. So, the clinical experts did not think that they would want to apply a stopping rule based on entry to residential care in clinical practice. To account for people entering residential care not for disease progression, the company included a scenario analysis in which 10% of people in residential care continue lecanemab treatment. The committee noted that applying a stopping rule based on entry to residential care could have led to increasing health inequalities. This is because there is inequitable access to residential care. So, the committee concluded that it was not appropriate to apply a stopping rule based on entry to residential care. The second stopping rule assumed that people stop treatment once their condition has progressed to moderate dementia caused by Alzheimer's disease. This is aligned with the marketing authorisation for lecanemab. The clinical experts thought that it would be reasonable to stop treatment on progression to moderate dementia caused by Alzheimer's disease. But they noted that there are no clear guidelines on how progression to moderate disease is defined (see section 3.2).
  
  At the second committee meeting, the company shared views from 3 clinical experts that said monitoring would not be resource intensive. But it shared a scenario analysis in which quarterly outpatient appointments were included. The EAG adopted this scenario in its base case, explaining that monitoring costs should be included. The commissioning expert explained that people are currently discharged from follow up after a diagnosis of early dementia. So, additional resources would be needed because monitoring and functional assessments (especially CDR‑SB) are not standard practice. The clinical experts estimated that people having lecanemab would be routinely monitored every 6 months. They added that monitoring for disease progression could also be done every 6 months, so a progression-based stopping rule would not lead to additional monitoring being needed. They added that functional assessments could be carried out during routine lecanemab infusions. They noted that there might be some variation in clinician interpretation of the questionnaire results, but no additional resource would be needed. The commissioning expert commented that training would need to be given to nurses to carry out the assessments. They added that people and their carers who stop treatment because of disease progression might find this challenging, so additional resources may be needed. The committee concluded that the resource implications from implementing the disease-progression stopping rule were unclear. It thought that the inclusion of quarterly outpatient appointments was informative. But, it added that it was unclear how much additional resource would be needed. So, the committee was uncertain whether the company's or EAG's model accurately captured the resource impact of implementing the disease-progression stopping rule. But it noted both the company's and EAG's approaches led to cost-effectiveness estimates that were above the threshold considered a cost-effective use of NHS resources.

The company's model assumed that all-cause treatment discontinuation was constant over time and derived from Clarity AD data. At the first committee meeting, the EAG noted that it was unclear whether it was appropriate to assume a constant rate of stopping from Clarity AD after 18 months. At the second committee meeting, the company presented a scenario in which the all-cause discontinuation rate for lecanemab after 18 months was based on 36‑month data from the Clarity AD open-label extension (OLE) study. It also shared data from Clarity AD OLE that showed the average amyloid level was below the 30 centiloids threshold for amyloid negativity after 18 months of lecanemab treatment. The committee thought that it was appropriate to base the discontinuation rate on the more mature data. So, it preferred to use the data from Clarity AD OLE for discontinuation rates after 18 months.

The company assumed that there was no waning of treatment effect while on treatment with lecanemab. It assumed that people who stopped treatment because of progression to moderate or severe dementia caused by Alzheimer's disease had treatment waning after they had stopped. The exact estimate for treatment waning is considered confidential by the company and cannot be reported here, but it was based on the estimated rate of amyloid re-accumulation. The clinical experts noted that it is highly implausible that a person's condition will immediately worsen after stopping treatment with lecanemab. They added that amyloid levels do not suddenly revert to baseline levels on stopping treatment, saying that this could take years but that this is uncertain. But the clinical experts noted that the relationship between level of amyloid plaques and symptoms of Alzheimer's disease is unclear. The committee thought that the estimate for treatment waning after stopping treatment because of progression to moderate or severe dementia was unclear. The company assumed that treatment effect was not lost in people who stopped treatment in the MCI and mild dementia caused by Alzheimer's disease health states because of all-cause discontinuation (and not because of a stopping rule, see section 3.14). It justified this approach because the Clarity AD data used in the model (and the hazard ratio applied to transition probabilities; see section 3.12) related to the intention-to-treat population. This meant that discontinuations were accounted for in the efficacy data. The company further explained that no one in Clarity AD was recorded as stopping treatment because of an inadequate treatment effect. It highlighted that the clinical experts said that it is highly implausible that a person's condition will immediately worsen after stopping treatment. The company noted that the EAG involved in NICE's technology appraisal guidance for donepezil, galantamine, rivastigmine and memantine for the treatment of Alzheimer's disease did not apply treatment waning. The EAG for this evaluation thought that it was unsuitable to assume a persistent treatment effect for people who stopped treatment in the MCI and mild dementia caused by Alzheimer's disease health states. It explained that people who stop lecanemab may still lose treatment response, even if that was not the reason for stopping. It also shared a scenario that assumed an arbitrary 75% treatment effect for people who stop treatment in the MCI and mild dementia caused by Alzheimer's disease health states. The committee concluded that it was inappropriate to assume that people who stopped treatment in the MCI and mild dementia caused by Alzheimer's disease health states continued to have the same treatment benefits as people who remained on treatment. But it also thought that it was inappropriate to assume treatment benefits would be lost immediately and completely after stopping treatment. It thought that scenarios exploring this assumption by the company and EAG were based on arbitrary figures, not on robust clinical expectations. So, it was unable to state a preferred assumption for treatment waning for people who stopped treatment in the MCI and mild dementia caused by Alzheimer's disease health states, noting considerable uncertainty. But it thought that the most appropriate approach would include some treatment waning, which was not aligned with the company's base case. It noted this would increase the company's base-case cost-effectiveness estimates. The committee thought that the rate of treatment waning for people who stopped treatment on progression to moderate or severe disease was also uncertain.

At the first committee meeting, the company's model assumed that the administration cost of each lecanemab infusion was £208. This was based on the SB12Z tariff cost in the 2021/2022 National Tariff Payment System, uplifted to reflect current prices. The code relates to a simple parenteral chemotherapy at first infusion. The company explained that this code was the most appropriate for estimating lecanemab infusion costs in the absence of an exact infusion cost estimate for lecanemab for Alzheimer's disease. This was because lecanemab is given over a 1‑hour infusion, alongside about 30 minutes of nurse time. Submissions from NHS England identified a different cost that it thought were most suitable. This was £565, based on the WD02Z healthcare resource group (HRG) code estimate from 2019/2020 and uplifted to current prices. The code is titled 'Alzheimer's Disease or Dementia, treated by a Non-Specialist Mental Health Service Provider'. The clinical experts explained that they would expect the infusion cost to be close to the £208 value suggested by the company. Their experience of lecanemab was that of a similar infusion time and monitoring to that of chemotherapy treatments. The patient and clinical experts added that the infusion of lecanemab is not complex and does not need intensive monitoring. At the second committee meeting, the company shared the results of a microcosting study it did with 3 healthcare professionals with lecanemab experience. The resulting infusion cost is confidential and cannot be reported here. NHS England explained that a breakdown of infusion resource costs for lecanemab could not be provided. This is because lecanemab is not used in clinical practice and resources used in the trial setting are not relevant to the NHS. So, it recommended using the infusion cost for coronavirus monoclonal antibodies (£432) because this was estimated using a bottom-up costing approach based on real-world costs. It advised against using a chemotherapy infusion cost because lecanemab:

• is more complex to prepare

• has the potential for more adverse reactions

• people having it might have more complex needs than people having chemotherapy infusions.
  
  The clinical experts explained that lecanemab is delivered as efficiently as chemotherapy. They also expected that the needs of the population would be similar because people with more advanced disease who are frail and need additional care would not be eligible for lecanemab. But the commissioning expert explained the efficient drug administration seen in the trial setting may not be replicated in the real world. The committee asked the company why its microcosting approach only included a few minutes of healthcare practitioner time when the infusion takes 1 hour with an additional 30 minutes of observation time. The company and clinical experts explained that 1 nurse can supervise multiple infusions at once. Also, people do not need constant observation during the infusion. The commissioning expert outlined that the microcosting study did not include background infrastructure costs and opportunity costs that HRG code costs include. The committee was aware of the NICE process and methods manual, section 4.4.10. It outlines that data on HRGs may not always be appropriate, and other evidence sources such as microcosting studies may be more appropriate. But, the manual states that, in all cases, all relevant costs such as testing, follow up, treatment, monitoring, staffing, facilities, training and any other modifications should be included. The committee concluded that the methodology provided for the company's microcosting approach was vague. So, it may not have accurately included monitoring, staffing, facilities and training costs. It also thought that the scope of the study was limited because only 3 people were consulted and their answers varied considerably. It also concluded that the preferred cost from NHS England was not specific to lecanemab and did not reflect the expected resource needs outlined by clinical experts. It also noted a lack of transparency on how the cost was estimated and how it related to specific lecanemab resource needs. So, it was unable to determine a preferred cost for use in modelling. But the committee concluded that the most appropriate cost was likely closer to the NHS England estimate based on the infusion cost for coronavirus monoclonal antibodies than the company's estimate. It also noted that, irrespective of the infusion cost used, all cost-effectiveness estimates were significantly above the range considered cost-effective.

The company's submission for the first committee meeting included an estimate of direct non-medical costs to account for social care costs, such as residential care and home-based community care costs. It used costs estimated by Alzheimer's Society research in 2014, and adjusted them to reflect current prices. At clarification, the EAG questioned what proportion of the estimated costs related to private care and so would be outside of the cost perspective set out in the NICE reference case. The company's response was that the costs did include private care costs, but the proportion was not identified by the authors. It provided a scenario analysis that assumed an arbitrary 10% of the costs were private and so excluded. The EAG noted that, elsewhere, the Alzheimer's Society had estimated that two-thirds of annual dementia costs are currently paid by people with dementia and their families. This is either in unpaid care or in paying for private social care. So, the EAG provided a scenario that assumed two-thirds of the costs used by the company were paid for privately and so excluded. But it noted that the estimate was likely to be too high because the cost used by the company did not include unpaid care. For the second committee meeting, the company used the figure cited by the EAG to estimate the proportion of non-medical costs that were paid for privately. So, it excluded the estimated private care costs from the model. It made the adjustment in a scenario analysis that reduced non-medical health-state costs by 47.2%. The EAG agreed with the company scenario and adopted it in its updated base case. The committee noted that the NICE reference-case states that costs should relate to NHS and PSS resources, and should be valued using the prices relevant to the NHS and personal social services (PSS). So, it thought that it was appropriate to remove the proportion of costs that would be paid for in private care from the company's estimate of direct non-medical costs. The committee concluded that the adjustment made by the company that reduced non-medical health-state costs by 47.2% was an appropriate way to remove private care costs.

Treatment with lecanemab is conditional on confirmed amyloid beta pathology. So, the company included the diagnostic testing costs in its base case. It did this by assuming that 90% of people will be tested using cerebral spinal fluid (lumbar puncture) and 10% will be tested using a PET‑CT scan. The company also included costs for people who are tested but do not have lecanemab. It assumed 28.8% of people tested would not be eligible, based on screening in Clarity AD. The EAG's clinical expert agreed that 90% of people will be tested using a lumbar puncture and 10% of people will be testing using a PET‑CT scan. But, the EAG used a higher screening failure rate of 43.1% in its base case. This was based on a report by the NICE Health Technology Assessment lab that estimated the eligible population for lecanemab. The clinical experts indicated that they would expect a screening failure rate of about 20% in NHS clinical practice. NHS England agreed, explaining that it used a screening failure rate of 20% in its eligible population calculations. The committee concluded that it was appropriate for the company to assume that 90% of people tested for amyloid beta will have a lumbar puncture and 10% will have a ‑PET‑CT scan. It also concluded that it was appropriate to assume that 28.8% of people who are tested for amyloid beta will not have amyloid pathology, so will not be eligible for lecanemab.

At the second committee meeting, the company's approach to utilities included a mixed effects model with repeated measures with backward elimination. The model was based on EQ‑5D data from Clarity AD. The company used this model to address the EAG's concerns that using mean EQ‑5D values did not consider variation between people, potential confounding variables and changes to utility over time. The EAG noted that it was unable to fully assess the company's implementation of the mixed effects model with repeated measures because insufficient information was provided. But it thought that it was appropriate to use this model in its base case. The EAG removed the fixed effects treatment covariate in the utility model. The committee concluded that it was appropriate to use the mixed effects models with repeated measures to estimate utilities. The company used proxy reported estimates for all health states because the estimates for patient-reported utilities were inconsistent. It also provided a summary of the adaptation effect in utility values for Alzheimer's disease. This referred to people with chronic health conditions adapting to the symptoms of their condition and not recording their quality of life relative to perfect health. This results in patient-reported quality-of-life estimates that were lower than general population or carer-reported estimates for the same condition. The company's search of the literature found that adaptation is not well understood. But adaptation may contribute to differences in quality of life in early stages of Alzheimer's disease. Differences in later stages are likely due to neurological deterioration and not adaptation. The company did scenario analyses to show that the cost-effectiveness results were not sensitive to using proxy utility values. The EAG's base case used patient-reported EQ‑5D for MCI and mild dementia health states. The committee noted that the NICE manual for health technology evaluations states that health-related quality of life should be measured directly by people with the condition being treated. But, when it is not possible to get these measurements directly from such people, they should come from people acting as their carers. The committee noted that it is not known at what level of severity of Alzheimer's disease people are unable to accurately self-report quality of life. It also noted that the choice to use patient-reported or proxy utility values had a very small impact on the cost-effectiveness results. So, the committee accepted the EAG's proposed approach of using:

• patient-reported EQ‑5D for the MCI and mild dementia health states

• proxy reported values for the moderate and severe dementia health states.
  
  The company used utility values that were treatment dependent (meaning that people had different utility values for lecanemab and placebo, despite being in the same health state). It said that this reflected the trial data and may have been because of differences in disease severity within the same model health state. For example, a CDR‑SB score of 5 and 9 would both be classified as mild Alzheimer's disease, despite the former potentially being expected to have more favourable utilities. The EAG preferred to use treatment-independent utility values. The committee concluded that it was appropriate for the EAG to use treatment-independent utility values. The company also updated its base case to include disutility for serious and severe adverse events. This was in response to a concern from the EAG that it was inappropriate for the company to assume that the disutility of adverse events was already captured in Clarity AD data. Quality-of-life data was collected in 6 monthly intervals. This meant that adverse events were likely to have occurred and resolved in that time and not be reflected in the data. The EAG commented that the company's inclusion of serious or severe adverse events only partially resolved its concerns. This was because lower-grade adverse events were not modelled. Also, the durations of adverse events that were modelled may have been too short. So, the EAG was still concerned that disutility from adverse events was underestimated. The committee concluded that the company's approach to including adverse event disutility was suitable for decision making but associated with uncertainty.

Utility values for carers were taken from the literature and modelled as a function of the health state of the person with Alzheimer's disease. At the second committee meeting, the company updated its base case to use an incremental approach to model carer utility. This approach used the worst alive health state (severe dementia in residential care) as a reference. Increments were calculated relative to this health state for other health states. This approach avoids the carer QALY trap in which extended survival time is penalised because lower carer utility when a person is alive is modelled for longer. In the company's base case, utility values for people with Alzheimer's disease and carers were also adjusted when a person with Alzheimer's disease entered residential care. The included a disutility of 0.09 for carers. The company also thought that carer quality-of-life effects were underestimated. This was because EQ‑5D does not accurately capture carer quality of life and the model only assumed 1 carer per person. The EAG's base case maintained the company's incremental approach to estimating carer quality of life. The EAG removed the difference in carer utility for the same health states but in residential and community care. The committee thought that the company's updated incremental approach to carer QALYs was reasonable and preferred to use it for decision making. But it noted uncertainty with the utility difference between community and residential care and the incremental approach to modelling carer utility.

The committee considered the severity of the condition (the future health lost by people living with the condition and having standard care in the NHS). The committee may apply a greater weight to QALYs (a severity modifier) if technologies are indicated for conditions with a high degree of severity. The company provided absolute and proportional QALY shortfall estimates in line with NICE manual for health technology evaluations. But the values did not meet the threshold for a severity weight greater than 1 to be applied to the QALYs. The committee recalled the powerful testimony from patient experts and considered the significant impact of Alzheimer's disease on people with the condition and their carers. But, the committee recalled that the absolute and proportional QALY shortfall thresholds were not met in the company's and EAG's base cases. So, it concluded it should not apply a greater weight to QALYs.

The committee concluded that the cost-effectiveness estimates were uncertain. But it also concluded that it could state some preferred assumptions for the cost-effectiveness modelling for lecanemab compared with placebo based on current modelling. After draft guidance consultation, responses from the company and other stakeholders addressed the committee's requests for further information and analyses. This allowed the committee to specify additional preferred assumptions at the second committee meeting around constant transition probabilities, a residential care stopping rule, patient-reported EQ‑5D data and removing private care costs. Overall, the committee's preferred assumptions were:

• The company's overall model structure was acceptable for decision making (see section 3.10).

• The company's approach to modelling backward transitions (that is, transitions to a better health state) was appropriate (see section 3.11).

• The company's multistate survival analysis to estimate transition probabilities that changed over time for the first 18 months in the model was appropriate (see section 3.12).

• The EAG's use of general population mortality for the MCI subgroup was appropriate (see section 3.13).

• The company's inclusion of a stopping rule based on entry to residential care was not appropriate (see section 3.14).

• The adjustment made by the company that reduced non-medical health-state costs by 47.2% was an appropriate way to remove private care costs (see section 3.18).

• The company's assumption that 90% of people tested for amyloid beta have a lumbar puncture and 10% have a PET‑CT scan, and that 28.8% of people who are tested for amyloid beta will not have amyloid pathology was appropriate (see section 3.19).

• The company's use of mixed effects models with repeated measures to estimate utilities was acceptable for decision making (see section 3.20).

• The EAG's use of patient-reported EQ‑5D for MCI and mild dementia health states was acceptable for decision making (see section 3.20).

• The EAG's use of treatment-independent utility values was appropriate (see section 3.20).

• The company's approach to modelling carer utility using the incremental approach was acceptable for decision making (see section 3.21).

The committee identified remaining uncertainties in the lack of long-term evidence for lecanemab and the company's modelling assumptions. It thought that there were still substantial uncertainties in the cost-effectiveness estimates generated using its preferred assumptions because of uncertainty:

• in the proportion of people who move directly from mild to severe dementia with lecanemab

• about the impact of treatment discontinuation on outcomes (the committee thought that it was not appropriate to assume 0% or 100% treatment waning, but thought that scenarios exploring this assumption by the company and EAG were based on arbitrary figures, not on robust clinical expectations, so thought that the most appropriate approach would include some treatment waning)

• on how the stopping rule for lecanemab would be applied in practice, and the impact on costs (the plausible range was no additional costs to additional quarterly outpatient appointments)

• in the difference in carer utility values between community and residential care (that is, it is uncertain whether appropriate to include 0.09 carer disutility on entering residential care)

• in infusion costs (the plausible range was from the company's microcosting estimate to the cost for coronavirus monoclonal antibodies shared by NHS England).

The cost-effectiveness results included confidential prices for lecanemab, so the exact results cannot be reported here. The company's deterministic base-case ICER for lecanemab compared with placebo was above the range normally considered cost effective for routine NHS use. Also, the EAG's corresponding base-case ICER was significantly higher than the range normally considered cost effective. The committee noted that, in both the company's and EAG's base cases, the estimated QALY gains were small but incremental costs were large. It also noted that administration costs contributed to a large proportion of incremental costs, particularly in the EAG's base case (see section 3.17). The company noted that, for some combinations of assumptions that included the NHS England infusion cost, lecanemab may not be cost effective even at very low or zero cost. The committee was aware that section 4.4.16 of the NICE manual for health technology evaluations states that: 'In cases where a technology increases survival in people for whom the NHS is currently providing care that is expensive or would not be considered cost effective at NICE's normal levels, the committee may consider alongside the reference-case analysis a non-reference-case analysis with the background care costs removed'. But it did not consider this to be applicable for this evaluation. This was because the non-drug costs largely related to treatment administration rather than the costs of prolonging time in expensive health states. The committee recalled the uncertainties it had identified. It noted that scenario analyses exploring these uncertainties all led to cost-effectiveness estimates considerably above the range normally considered cost effective. The committee concluded that it could not recommend lecanemab for routine use. This was because the most plausible ICER was likely considerably above the range normally considered cost effective and because of the uncertainty in all the cost-effectiveness estimates.

Having concluded that lecanemab could not be recommended for routine use, the committee then considered whether it could be recommended with managed access for treating MCI and mild dementia caused by Alzheimer's disease. NHS managed access is a time-limited agreement. It allows people to access new treatments while further evidence is gathered. It is a way to address uncertainties about a drug's clinical and cost effectiveness. The company proposed that data could be collected from the OLE of Clarity AD. It also updated its managed access proposal for the second committee meeting, which included details that are commercial in confidence and cannot be reported here. The managed access team at NICE commented that the updated managed access proposal meant that some of the key uncertainties may be resolved during a period of managed access. But some key issues, such as treatment discontinuation and infusion costs, may not be resolved. The clinical lead for the Innovative Medicines Fund highlighted concerns about lecanemab meeting the necessary criteria for a recommendation in managed access. Specifically, the cost-effectiveness estimates in the company's and EAG's base cases were not plausibly cost effective. Also, there were significant concerns that proposed collection of real-world data in the NHS would lead to considerable burden. They also thought that there were considerable uncertainties that further data collection may not address. The committee noted that the managed access proposal did not include any new randomised controlled trial data for lecanemab in people with MCI and mild dementia due to Alzheimer's disease. This meant that there would be no new direct evidence available for the relative treatment effectiveness of lecanemab compared with standard care, so this was likely to remain uncertain. The committee recalled that it had not been presented with any cost-effectiveness results that suggested lecanemab had the plausible potential to be cost effective. It also thought that a key driver of these results was the modest clinical benefit of lecanemab. It understood that data collected in managed access was unlikely to illustrate a substantially greater clinical benefit for lecanemab than that estimated in the company's base case. So, the committee concluded that lecanemab did not meet the criteria to be considered for a recommendation with managed access.

Submissions from the company and experts identified potential equality and health inequality concerns for consideration. The issues identified were:

• There is current inequality in terms of who has an Alzheimer's disease diagnosis and accessing care. This will be worsened by introducing the complex diagnostic pathway for lecanemab.

• People with Down's syndrome (who have a more than 90% lifetime risk of developing Alzheimer's disease), people with young-onset dementia and people from different ethnic minority backgrounds were not fully represented in Clarity AD. These groups are at risk of being excluded from accessing lecanemab.

• Lecanemab may have different treatment effectiveness and benefits for different subgroups based on age, sex and family background.

• Lecanemab would need significant increases in NHS capacity for service delivery. Inequalities may increase as existing services that are already under strain would be needed to deliver the treatment.
  
  The committee noted the concerns raised with getting a diagnosis, accessing care in a new and complex pathway, and substantial demand on NHS services. It understood these concerns but noted that they were outside of its remit. The committee understood that some people with Alzheimer's disease have Down's syndrome and may be considered disabled under the Equality Act 2010. It also noted the possibility of different treatment effects for subgroups. Age, sex, family background and disability are protected characteristics under the Equality Act 2010. The committee agreed that any recommendation should not restrict access to treatment for some people over others on the basis of protected characteristics.

Stakeholder submissions throughout the evaluation identified potential uncaptured benefits and harms of lecanemab. The potential uncaptured benefits of lecanemab raised were:

• Utility values may have been underestimated by using patient-by-proxy-reported quality-of-life data.

• The impact on the finances and productivity of carers for people with Alzheimer's disease were not captured in the model. The committee noted that these costs fall outside of the NICE reference case.

• Lecanemab is innovative, as shown by its designation to the Innovative Licensing and Access Pathway by the Medicine and Healthcare products Regulatory Agency.

• Lecanemab is not eligible for the severity modifier despite:

  • Alzheimer's disease being the leading cause of death in the UK

  • the condition causing a significant disease burden

  • clinical consensus that treating milder Alzheimer's disease states is more beneficial than treating more severe disease states.
    
    The committee noted that eligibility for a severity modifier is defined in the NICE manual as absolute and proportional QALY shortfalls meeting specific thresholds. These estimates quantify the future health of people with a condition by comparing it with general population length and quality of life. Based on both the company's and EAG's preferred model assumptions, lecanemab does not meet the criteria for a severity modifier. The potential uncaptured harms of lecanemab raised were:

• false hope for people who are not eligible for lecanemab, or who may find out they are APOE4 carriers and may experience worse outcomes than others

• false hope that treatment with lecanemab leads to large clinically significant slowing of disease progression compared with not treating with lecanemab

• false hope for people who believe that lecanemab is a cure for Alzheimer's disease and not only a treatment that modestly slows disease progression

• harms of repeated diagnostic testing and monitoring

• significant increase in demand for NHS primary and secondary care services that may affect the provision of other services

• substantial investment in infrastructure and training for NHS care pathways to be redesigned to accommodate new treatments.
  
  The committee concluded that the uncaptured benefits and costs of lecanemab may increase or decrease the most plausible ICER. But, it thought that there were significant uncertainties in the company's base case (see section 3.22). So, the committee was unable to reach a conclusion on the impact of uncaptured benefits and costs.

The committee recalled the significant unmet need for treatment options to prevent progression to mild dementia caused by Alzheimer's disease. It also recalled the high uncertainty associated with the face validity of the company's model and long-term evidence for lecanemab. It recalled that the EAG's and company's base cases were associated with uncertainty. It also noted that the cost-effectiveness estimates were above the range normally considered a cost-effective use of NHS resources. It recalled that scenario analyses exploring its identified uncertainties were still above the range normally considered cost effective. The committee decided that the modest benefit to patients demonstrated in the trial, balanced with the decision-risk associated with the substantial resources the NHS would need to commit to implement access to lecanemab would be too great, even with a managed access agreement. This is in addition to the lack of plausible cost effectiveness and concerns that additional data collection would not resolve the uncertainties. So, the committee did not recommend lecanemab for treating MCI and mild dementia due to Alzheimer's disease in adults who are APOE4 heterozygotes or non-carriers, either for routine NHS use or with managed access.