The ERG identified several issues with the company's economic analyses including:
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Limitations with the company's network meta-analysis because an inappropriate random effects model was assumed for the baselines. In addition, simultaneous baseline and treatment effect models were used without ensuring that information in the baseline model did not propagate to the relative treatment effect model. Furthermore, studies that reported EULAR responses were synthesised along with converted EULAR response outcomes from studies that only reported ACR responses.
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A lack of face validity in several of the scenario analyses, partly because of transcription and programming errors.
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Limitations with the probabilistic sensitivity analyses because of programming errors, including an error which resulted in patients having some biological DMARDs never achieving a good or moderate EULAR response.
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Using the efficacy of treatments in the population with an inadequate response to conventional DMARDs for all biological DMARDs in the treatment sequence, regardless of their position in the sequence.
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Rounding HAQ scores to the nearest valid HAQ score, rather than allowing HAQ scores to be sampled based on a continuous HAQ value.
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Incorrect implementation of the HAQ trajectory classes by assigning each patient to a single class based on the probability of class membership, instead of using an average weighted by the probability of class membership.
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Assuming that patients who achieve a moderate or good EULAR response at 24 weeks had an instant reduction in HAQ score when starting treatment.
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Averaging HAQ across large time periods, which may lead to inaccurate results because the relationships between HAQ score and EQ-5D and between HAQ score and hospitalisation costs are not linear.
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Excluding intravenous abatacept and subcutaneous tocilizumab from the list of comparators.
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Using a less accurate method to map HAQ scores to EQ-5D (Malottki et al. 2011) than that used during the NICE technology appraisal guidance on adalimumab, etanercept, infliximab, certolizumab pegol, golimumab, tocilizumab and abatacept (Hernandez Alava et al. 2013).
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Assuming that baricitinib would be used before intensive therapy with conventional DMARDs for patients with moderate rheumatoid arthritis (this was not supported by the clinical experts).
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Re-estimating the age of death at every event, which resulted in slightly different expected life years, which would be exacerbated by sequences of different lengths.
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Using the average weight of the population in the relevant trials to calculate average dose, which assumes there is a linear relationship between weight and dose costing and does not take into account drug wastage, for example.
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Overestimating the average number of doses, and thereby the cost, of infliximab that would be given in a year.
The ERG stated that these errors were unlikely to change the broad conclusions of the company's model. The committee concluded that although there were several errors in the company's economic model, it was adequate for its decision-making.