Cannabidiol with clobazam for treating seizures associated with Lennox–Gastaut syndrome

Lennox–Gastaut syndrome severely affects the quality of life of patients, carers and their families

3.1 Lennox–Gastaut syndrome is a severe, lifelong and treatment-resistant form of epilepsy that begins in early childhood, usually between 2 and 7 years. It is characterised by frequent seizures of different types. Drop seizures result in a loss of muscle tone or stiffening of muscles, and people can crash to the ground. The patient and carer experts explained that drop seizures affect quality of life because they may result in severe injuries and hospitalisation. People with Lennox–Gastaut syndrome may also have comorbidities such as cognitive impairment, developmental delays and behavioural disturbances, which further affects their health and quality of life. The patient and carer experts noted that Lennox–Gastaut syndrome affects the families and carers who may find looking after people with the syndrome demanding and prevents them from leading normal lives. People with the disease need round-the-clock care and help with almost all aspects of daily life. Parents and carers of children with Lennox–Gastaut syndrome spend less time with their other children. The anxiety that a child with Lennox–Gastaut syndrome may be injured because of a drop seizure, can significantly affect the mental wellbeing of all family members. The committee concluded that Lennox–Gastaut syndrome severely affects the quality of life of patients, families and carers.

People with Lennox–Gastaut syndrome and their carers would value a new treatment option

3.2 The clinical, and patient and carer experts agreed that it is often difficult to control seizures associated with Lennox–Gastaut syndrome. Despite a broad range of available antiepileptic drugs, non-pharmacological interventions (such as vagus nerve stimulation and a ketogenic diet) and surgery. They stated that there is an unmet need in Lennox–Gastaut syndrome for an intervention that can effectively reduce seizures without markedly increasing adverse events. The patient and carer experts reported that drugs that initially work can lose efficacy, so they would welcome new treatment options. They noted that reducing the number of drop seizures is the main goal of treatment. They also noted that reducing the frequency of other seizure types would improve the quality of life of people with Lennox–Gastaut syndrome. The committee concluded that there is an unmet need for treatments that reduce the number of drop seizures, and that patients and their carers would value a new treatment option.

The company's positioning of cannabidiol with clobazam in the treatment pathway is appropriate

3.3 The clinical experts explained that the Lennox–Gastaut syndrome treatment pathway is consistent with NICE's clinical guideline on epilepsies: diagnosis and management. This recommends starting treatment with sodium valproate and, if seizures are not adequately controlled, adding lamotrigine. They added that they would consider trying other antiepileptic drugs if sodium valproate and lamotrigine together do not adequately control seizures. The committee was aware that, on 26 July 2019, the European Medicines Agency's Committee for Medicinal Products for Human Use adopted a positive opinion for cannabidiol. It recommended granting a marketing authorisation for cannabidiol for Lennox–Gastaut syndrome, but only as an adjuvant therapy with clobazam. The company proposed that cannabidiol should be considered after 2 other antiepileptic drugs. The clinical experts stated that clobazam is currently used when 2 antiepileptic drugs have not adequately controlled seizures, and that they would consider adding cannabidiol to clobazam. The committee therefore concluded that the company's positioning of cannabidiol with clobazam in the treatment pathway was appropriate.

The committee has not seen data to assess whether the patients in the clinical trials reflect those who would have cannabidiol in the NHS

3.4 Cannabidiol (plus usual care) has been compared with placebo (plus usual care) in 2 randomised controlled trials, GWPCARE3 and GWPCARE4. In GWPCARE3, 2 maintenance doses of cannabidiol (10 mg/kg/day and 20 mg/kg/day) were compared with placebo. In GWPCARE4, the higher maintenance dose of 20 mg/kg/day was compared with placebo. Both trials had a follow up of 14 weeks. The company confirmed that the 10 mg/kg/day maintenance dose of cannabidiol is likely to be the recommended maintenance dose in the marketing authorisation from the European Medicines Agency, with dose increases permitted up to a maximum of 20 mg/kg/day. An open-label extension study, GWPCARE5, in which all patients are having cannabidiol, is ongoing. The company expects to follow patients in this for up to 3 years. Both the studies included adult patients, and GWPCARE3 included a small number of participants from the UK (the exact number is considered confidential by the company and cannot be reported here). About half of the patients in both trials were also taking clobazam, as specified in the expected marketing authorisation (see section 2). Most patients not taking clobazam had previously tried it. The company's submission included the baseline characteristics of the full trial population, but not the baseline characteristics of the subgroup that had cannabidiol with clobazam. Therefore, the committee concluded that it was unable to determine whether this subgroup reflected patients with Lennox–Gastaut syndrome who would have cannabidiol in the NHS.

Cannabidiol with clobazam reduces seizure frequency, but long-term efficacy is uncertain

3.5 The primary endpoint in both GWPCARE3 and GWPCARE4 was the percentage change in drop-seizure frequency from baseline per 28 days. The company provided results from the trials for the subgroup of patients who were taking clobazam. The company considers these results to be confidential, so they cannot be reported here. There was a statistically significant reduction in median drop-seizure frequency per 28 days in GWPCARE3 for patients taking cannabidiol 10 mg/kg/day compared with placebo. The clinical and patient experts noted that this reduction was meaningful for people with the condition. The company did not provide evidence of how many people taking cannabidiol with clobazam had no drop seizures, but the committee was aware that only a few patients in the trials had no drop seizures. There was also a statistically significant reduction compared with placebo in the secondary endpoint of total seizure frequency per 28 days. In GWPCARE4, with cannabidiol 20 mg/kg/day there was also a reduction in both drop and non-drop seizure frequency compared with placebo. The committee was aware that the likely recommended maintenance dose of cannabidiol would be 10 mg/kg/day (see section 3.4), and agreed that GWPCARE3 was most relevant to the decision problem. The patient and carer experts stated that these results reflect their experience of the drug, which has resulted in a noticeable reduction in the frequency of drop seizures and other types of seizures. The company stated that the interim results of the open-label extension study (GWPCARE5) showed sustained efficacy with cannabidiol over 48 weeks of follow up. The committee noted that the company had not presented it with detailed methods or results for the open-label extension study in the subgroup of patients taking cannabidiol with clobazam. The committee concluded that cannabidiol with clobazam reduces seizure frequency compared with usual care, but that the long-term efficacy is uncertain.

Cannabidiol is associated with adverse events that are manageable

3.6 The trial results showed that a large proportion of patients having cannabidiol with clobazam had adverse events. The most commonly occurring adverse events in this group were somnolence or sedation, and diarrhoea. The clinical experts noted that people with Lennox–Gastaut syndrome often experience adverse effects from their medications. They also noted that cannabidiol's adverse effects are mostly, but not always, mild and tolerated. The patient and carer experts stated that the choice of treatment depends on the balance of its safety and tolerability, with adverse events representing an important consideration. The committee concluded that, while cannabidiol's adverse effects are mostly manageable, they are an important consideration when making decisions about whether to start or continue cannabidiol.

The health states in the company's model do not adequately represent Lennox–Gastaut syndrome

3.8 The company presented a Markov state-transition cohort model to estimate the cost effectiveness of cannabidiol. It used efficacy inputs derived from the subgroup of patients in the trial who also took clobazam. The model had a time horizon of 50 years and a cycle length of 3 months. It had 4 health states, based on the number of drop seizures a patient had each month, to capture the costs and health effects. One health state corresponded to 0 seizures (freedom from seizures). The company derived the remaining health states by dividing the trial population evenly into 3 health states by the frequency of seizures at the beginning of the trials. The committee was concerned that the health states based on seizure frequency had been arbitrarily derived because they were not based on any clinical rationale and represented wide ranges of seizure frequencies. It would have preferred to see scenario analyses categorising the health states differently. In particular, the committee would have preferred to see narrower seizure frequency ranges to better capture the effect of changes in this parameter on costs and benefits. It also noted the company did not model the benefits associated with reducing non-drop seizures because it considered drop seizures to be more important to people with Lennox–Gastaut syndrome and their families and carers. The company explained that non-drop seizures are difficult to count reliably, which the clinical experts agreed with. The committee recalled that reducing non-drop seizures is associated with improved quality of life (see section 3.2), and agreed that the model did not capture these benefits. However, it acknowledged that these may be challenging to include in the model. It was also concerned that, in the usual-care arm, after cycle 2, some patients stayed in the highest seizure frequency health state for the rest of the model. It considered this was not clinically plausible. The committee concluded that the modelled health states did not adequately represent Lennox-Gastaut syndrome.

The company's approach to capturing the benefit of seizure-free days increases the complexity of the model

3.9 The company included the number of days in each month without drop seizures by dividing each of the 3 drop seizure health states into 3 substates based on different numbers of seizure-free days. This was based on an exploratory endpoint in the clinical trials. The company explained that it had chosen this structure because both seizure frequency and days without seizures benefit people with Lennox–Gastaut syndrome. The committee agreed that having more seizure-free days would benefit patients and their carers but was concerned that modelling additional substates increased the complexity of the model structure. The clinical experts explained that the number of seizures and seizure-free days people with Lennox–Gastaut syndrome have each month will fluctuate, and be higher or lower depending on individual circumstances. The committee considered that the company's model was based on discrete health states (frequency of seizures) and substates (seizure-free days) but that the number of seizures would be better represented as a continuous variable. It recognised that modelling seizures as occurring over time at a given rate implies that the number of seizure-free days would follow. The committee considered it unusual to firstly categorise into numbers of seizures, and then subdivide these into number of seizure-free days. It considered that this may have resulted in 'double-counting' the benefits of reducing the frequency of seizures. It therefore noted that an alternative model structure may have better reflected the condition and captured the benefits of both drop seizure‑free days and drop seizure frequency. One such model structure would be a discrete event simulation model examining the effect of different drop seizure rates on individual patients. The committee concluded that it was appropriate to capture the benefits of having more drop seizure-free days. However, it was concerned that the company's approach to modelling these increased the complexity of the model.

The usual care arm should be modelled in the same way as the cannabidiol arm

3.10 The committee noted that patients progressed through the company's model differently:

The results from the company's model are not valid

3.11 The ERG was concerned that the results of the company's model were not valid. The ERG explained that, when it set all the clinical inputs in the model as equal for both cannabidiol and usual care, it expected that the estimated quality-adjusted life years (QALYs) would be the same for both treatments. However, the model produced higher QALYs for cannabidiol. The company stated that the model produced equal QALYs only under certain conditions. The committee did not consider this sufficient. It agreed with the ERG that the model was flawed, and that this test of validity should hold for the base-case settings. The committee recalled that patients receiving each treatment took different paths through the model (see section 3.10) and considered that this may have biased the results in favour of cannabidiol. It was also concerned that there may have been unidentified flaws in the model coding. The committee concluded that the results from the company's model were not valid.

Assumptions in the economic model

The mean weight from the clinical trials should be used to model the weight-based dose of cannabidiol

3.12 To model the weight-based dose of cannabidiol (see section 2), the company divided the population into 4 age groups and used the median weight from the trials. The committee was concerned that, because median weight in the trials was lower than mean weight, this would have underestimated the dose and cost of cannabidiol. It concluded that the mean weight from the clinical trials should have been used.

The placebo data from the clinical trials should not be combined in the model

3.13 The company based the efficacy of placebo plus usual care in the model on the combined individual patient-level data from the placebo plus usual-care arms in GWPCARE3 and GWPCARE4. The committee recalled that it has not seen the baseline characteristics in each trial used in the model (see section 3.4) but was aware that these may have been different. It was also aware that the efficacy of cannabidiol in the model was based on GWPCARE3 alone because this was the only trial that included the expected recommended maintenance dose of 10 mg/kg/day. The committee was concerned that combining the placebo arms of the trials would have

The company's approach does not appropriately account for the lack of comparator arm in the open-label extension study

3.14 The committee recalled that the company's model used different assumptions for patients in the treatment arm than for those in the usual-care arm (see section 3.10). Based on the data from the open-label extension study, the company assumed that, after cycle 2, patients in the usual-care arm returned to their baseline health states, while patients taking cannabidiol continued to benefit from cannabidiol. The committee appreciated that the company had essentially treated regression to the mean in the treatment group as the effect of cannabidiol but had stripped the placebo group of the same effect. The committee noted that this meant that the relative treatment benefit of cannabidiol increased after cycle 2 and did not reflect the difference between groups from the trial. The company explained that it had modelled the treatment effect in this way because there are no data for placebo plus usual care after cycle 2 (everyone received cannabidiol in the open-label extension study). The committee considered that this approach had biased the analyses in favour of cannabidiol. It further noted that it had not seen evidence that the subgroup of patients taking cannabidiol with clobazam maintained treatment benefit during the open-label extension study. The committee concluded that it would have preferred the company to have accounted for the lack of a comparator arm in the open-label extension study rather than assuming patients would return to baseline. It suggested that one way of doing this would be to extrapolate the relative treatment effect from GWPCARE3 beyond the controlled part of the trial.

The effectiveness of cannabidiol is likely to diminish over time

3.15 The company assumed in its model that, beyond 9 cycles (27 months), patients on cannabidiol stayed in the same health state defined by seizure frequency (that is, the treatment effect of cannabidiol was maintained until the patient stopped treatment or died). This was because there were no data after 24 months of follow up in the open-label extension. The clinical experts stated that they would expect the effectiveness of cannabidiol to diminish over time because this is seen with other antiepileptic drugs. The company considered that it had captured a reduction in efficacy over time in a scenario analysis in which it increased the annual rate at which patients in the highest seizure-frequency health state stopped cannabidiol, increasing the rate from 5% to 10% a year. It argued that being in this health state implied that patients were no longer deriving benefit from cannabidiol and so would stop taking it. The clinical experts stated that the proportions of patients on cannabidiol at 3 and 5 years in the company's base-case analysis of the full trial population were plausible. However, the committee considered the rates at which people stopped treatment, and a reduction in treatment effect reflected separate issues. This was because a waning treatment effect would have applied to all patients, but not all of them would have moved to the health state with the highest seizure frequency and stopped cannabidiol. The committee recalled that the company had provided no clinical evidence for the effectiveness of cannabidiol after 27 months of treatment. It also recalled that it had not seen clinical evidence for the population in the anticipated marketing authorisation from the open-label extension study (see section 3.5). The committee concluded that it would have preferred to see scenario analyses in which the efficacy of cannabidiol diminished after 27 months.

The model may underestimate the mortality of people who are free from drop seizures

3.16 The committee was aware that the trials did not show that treatment with cannabidiol prolonged life, but that the company had proposed that people taking cannabidiol live longer. This is because, in its model, the company assumed that people without drop seizures are less likely to die from epilepsy-related causes, and people taking cannabidiol are more likely to be free from drop seizures. Specifically, the company modelled a 58% reduction in risk of death. This was based on observational evidence for people with a different form of epilepsy, Dravet syndrome, who were completely free from seizures (Cooper et al. 2016). The clinical experts explained that they were unaware of any evidence showing that other treatments reduce mortality in Dravet or Lennox–Gastaut syndromes. They also stated that that using evidence from Dravet syndrome as an approximation for the mortality of people with Lennox‑Gastaut syndrome was appropriate. The committee was aware that status epilepticus is associated with high mortality. The committee considered it reasonable that a treatment that reduced drop seizures would prolong life, and that this association may also apply to health states other than being free from seizures. The committee appreciated that people who are free of seizures may be otherwise healthier than people with frequent seizures, and that this could partially account for the size of the association between seizure frequency and death. The clinical experts stated that the company had likely overestimated cannabidiol's potential to prolong life. The committee was aware that relatively few patients in the model were free from seizures, so changing this assumption would likely have had a small effect on the cost-effectiveness results. It concluded that the model may have underestimated the mortality of patients free from drop seizures. It would have preferred to see scenario analyses in which the reduction in risk of death was smaller.

Costs in the economic model

The company should model the costs of increasing the dose of cannabidiol

3.17 The draft summary of product characteristics for cannabidiol states that the dose can be increased from a maintenance dose of 10 mg/kg/day to 20 mg/kg/day (see section 2). The company assumed in its base case that all patients would have a maintenance dose of 10 mg/kg/day for the entire treatment duration with cannabidiol. However, it explained that it expected some people would be offered higher doses if they had seen a large drop in their frequency of seizures to try to free them of seizures. To attempt to capture the cost of the dose increases, the company did a scenario analysis using a higher average dose for all patients. It calculated this by assuming that the proportion of people who would have a 20 mg/kg/day dose was the same as the proportion in the clinical trials with a greater than 75% reduction in drop seizures. The clinical experts agreed that the population the company identified as candidates for a dose increase was appropriate. They stated that they would not increase the dose of cannabidiol in people whose condition was not responding. However, they would expect the condition to respond well in about 20% of people, who would potentially be seizure free with a higher dose of cannabidiol. This was a larger proportion than that chosen by the company. The committee recognised that the current model may have underestimated the costs of cannabidiol. It concluded that the company should have included and justified the costs of increasing the dose of cannabidiol for some people in its base-case analysis. It noted that it would have preferred to see scenario analyses exploring how sensitive the cost-effectiveness results were to the proportion of people on higher doses.

Modelling adverse events

The company should include the effect of adverse events on quality of life in the model

3.18 The committee recalled that cannabidiol was associated with adverse events (see section 3.6). The company included the cost of adverse events in the model, based on pooled safety results from the clinical trials for Dravet syndrome and Lennox-Gastaut syndrome. However, it did not model their effect on quality of life. It justified this by stating that adverse events were not severe so the loss in quality of life would be very small. The committee agreed that there may be some differences between the safety profile in Dravet syndrome and Lennox-Gastaut syndrome. It also recalled that the patient experts stated that minimising adverse events was an important consideration in choice of treatment because of their effect on quality of life. The committee concluded that the company should have included the effect of adverse events on quality of life in its model. It also concluded that the incidence of adverse events should have been based on data from the subgroup using cannabidiol with clobazam in the Lennox–Gastaut syndrome trials.

Utility values in the economic model

The utility values from the company's vignette study do not accurately reflect the health-related quality of life of people with Lennox–Gastaut syndrome

3.19 The company collected Quality of Life in Childhood Epilepsy data in its clinical trials but did not use the data in the model. It stated that there was a low response rate to the questionnaire. It also stated that there is no mapping algorithm to convert the results to EQ‑5D utilities, NICE's preferred measure of health-related quality of life. The company also noted that data on quality of life in the literature are based on percentage reduction in seizures rather than the health states and substates it used in its model (that is, number of seizures and seizure-free days). The company instead asked people with Lennox–Gastaut syndrome and their carers to estimate the quality of life associated with each health state and substate in the model. Respondents were asked to consider 'vignettes' or descriptions of each health state and, using a visual analogue scale, give each a value between 0 (death) and 1 (perfect health). The company considered the quality-of-life values it used in its model to be confidential. The committee agreed that the vignette approach may have been justified given the lack of data in the literature. However, it noted several limitations. It highlighted that the vignette study relied on patients and carers to value the health states rather than the general public, who may estimate quality of life differently. Using values from the general public is NICE's preferred method. This is because someone living with, or caring for someone with the disease may get used to the symptoms, and have a lower expectation of good health than the general public. It also noted that the lowest value people could give each health state was 0, whereas the EQ‑5D scale allows for health states below 0 (that is, worse than death). The clinical experts stated that the value used for the health state reflecting freedom from drop seizures lacked face validity. They expected the values to be lower because despite being free from drop seizures, patients may still have non-drop seizures, adverse effects and epilepsy associated comorbidities such as cognitive impairment. The committee was aware that because this utility value was similar to that of the general population, the company used the value from its vignette study in Dravet. It noted that, among people with more than 15 drop-seizure-free days per month, the utility values were similar whether they had, in total, more than 110 seizures per month or between 45 and 110 seizures per month. The committee considered this implausible because it had heard that drop seizures worsen quality of life (see section 3.2). It was aware that the company had done a scenario analysis using values from a general population preference study in Lennox-Gastaut syndrome (Verdian et al. 2018). The committee noted that, although not directly comparable, these values appeared lower than those in the company's vignette study. It concluded that the utility values used by the company did not accurately reflect the health-related quality of life of people with Lennox–Gastaut syndrome.

It is appropriate to include the effect on carers' quality of life in the model, but the company's utility values may not accurately reflect this

3.20 The committee recalled that caring for someone with Lennox–Gastaut syndrome is likely to substantially affect carers' quality of life (see section 3.1), and that capturing this in the model was appropriate. The company did this by including utility decrements in its model for carers of people in the 2 highest seizure frequency health states. The utility decrements were based on the company's vignette study. The committee recalled that the vignette study had several limitations (see section 3.19). It was concerned that the company had captured the effect on the quality of life of carers only for the 2 highest seizure-frequency health states. It considered that people with few drop seizures may still have comorbidities and other types of seizures that would affect carers' quality of life. The committee was also concerned that the utility decrement associated with caring for someone in the highest seizure frequency lacked face validity. This is because it was almost double the value in the equivalent health state for Dravet syndrome (the exact figure is considered confidential by the company and cannot be reported here). However, the committee considered that the burden on carers would be similar for both diseases. To validate the values from its vignette study, the company presented utility values for carers of people with Dravet syndrome from the literature (Campbell et al. 2018). The committee was aware that the company had incorrectly calculated the utility decrement from Campbell. However, it also agreed that the correctly estimated decrement of around ‑0.045 was likely to have been too low, and to have underestimated the effect on carers' quality of life. The committee concluded that it was appropriate to include carers' quality of life in the model. However, it thought that the values from the company's vignette study may not have accurately reflected the effect of caring for someone in each of the health states in the model.

The company's approach to modelling carers' quality of life may overestimate the effect of caring for someone with Lennox–Gastaut syndrome

3.21 The company assumed that people with Lennox–Gastaut syndrome have 1.8 carers based on evidence from the literature (Lagae et al. 2017). The committee recalled that people with Lennox–Gastaut syndrome need one-to-one, around-the-clock care (see section 3.1), and the clinical, and patient and carer experts agreed that the company's assumption was appropriate. The committee was also aware that siblings of people with Lennox–Gastaut syndrome may have responsibilities for care, and that their quality of life may be affected (see section 3.1). The company incorporated the effect on quality of life for carers into the model by multiplying the decrements from the vignette study (see section 3.20) by 1.8 carers and subtracting this from the value reflecting the patient's utility. The committee was concerned that the company's approach meant that the caring burden increased linearly the more carers a patient had. However, for a patient with multiple carers, it expected there to be less effect on the quality of life of each carer because they would 'share' the burden. So, while the total burden for 1.8 carers may be greater than the burden for a sole care, it would likely not be 1.8 times greater. The committee acknowledged the substantial effect that caring can have on quality of life. However, it concluded that the company's approach to incorporating carers' quality of life in the model may have overestimated the effect.

Cost-effectiveness results

Neither the company's base-case analysis nor the ERG's scenarios give an accurate reflection of the cost effectiveness of cannabidiol

3.22 The committee recalled that it had not seen evidence that the population taking cannabidiol with clobazam in the clinical trials was generalisable to NHS practice (see section 3.4). It also agreed that the company's modelling approach did not adequately characterise Lennox–Gastaut syndrome (see sections 3.8 to 3.10). The committee was concerned that the model outputs were not valid (see section 3.11) and that several assumptions in the model may have introduced a bias in favour of cannabidiol. It further noted that the ERG had been unable to adapt aspects of the company's model or rectify these issues. The committee concluded that neither the company's base-case analysis nor the ERG's scenarios gave an accurate reflection of the cost effectiveness of cannabidiol.

The committee would like to see a model that incorporates its preferred assumptions

3.23 The committee recognised that there is an unmet need for new treatments for people with Lennox–Gastaut syndrome, and that their families and carers would also welcome this (see section 3.2). It also recognised that cannabidiol is effective in reducing the seizure burden of people with Lennox–Gastaut syndrome (see section 3.5). The committee agreed that it would like to see a revised model that more adequately reflects Lennox–Gastaut syndrome and captures the costs and benefits of treatment with cannabidiol. The committee's preferred approach is for a model that:

Other factors

Cannabidiol does not meet the criteria for an innovative treatment but there are benefits that are not captured in the model

3.24 The clinical experts stated that they would welcome an additional treatment option for Lennox–Gastaut syndrome but considered that cannabidiol only represents an incremental change in its management. This is because, although the trials showed that the drug reduced the number of seizures, few people became seizure free (see section 3.5). However, the committee recalled that the company had not modelled the effect of reducing the number of non-drop seizures (see section 3.8), nor the effect on the quality of life of siblings of children or young people with Lennox–Gastaut syndrome (see section 3.21). It also recalled that these factors were important and improving them could improve quality of life (see section 3.1). The committee concluded that cannabidiol did not meet the criteria for an innovative treatment. However, it noted there were additional gains in health-related quality of life that were not included in the QALY calculations.

3.25 NICE proposes that the guidance on this technology is considered for review by the guidance executive 3 years after publication of the guidance. NICE welcomes comment on this proposed date. The guidance executive will decide whether the technology should be reviewed based on information gathered by NICE, and in consultation with consultees and commentators.

Amanda Adler
Chair, Appraisal Committee
August 2019

Appraisal committee members

The 4 technology appraisal committees are standing advisory committees of NICE. This topic was considered by committee B.

Committee members are asked to declare any interests in the technology to be appraised. If it is considered there is a conflict of interest, the member is excluded from participating further in that appraisal.

The minutes of each appraisal committee meeting, which include the names of the members who attended and their declarations of interests, are posted on the NICE website.

NICE project team

Each technology appraisal is assigned to a team consisting of 1 or more health technology analysts (who act as technical leads for the appraisal), a technical adviser and a project manager.

Dalia Dawoud
Technical lead

Ross Dent
Technical adviser

Jeremy Powell
Project manager

ISBN: [to be added at publication]