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A systematic review of the effectiveness of adalimumab

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TABLE 85 Bansback et al., 2005 166 (cont’d)<br />

© Queen’s Printer and Controller <strong>of</strong> HMSO 2006. All rights reserved.<br />

Health Technology Assessment 2006; Vol. 10: No. 42<br />

Intervention 7 Traditional drug treatment (DMARDs)<br />

Source <strong>of</strong> <strong>effectiveness</strong> data Treatment response data from a published <strong>review</strong> and conference abstracts. Two<br />

combination RCTs were available for <strong>adalimumab</strong>. The first, ARMADA, was similar to <strong>the</strong><br />

etanercept and infliximab trials in design and patient numbers. The second, a larger, more<br />

comprehensive study, also included radiographic evaluations. In Sweden, decisions to<br />

continue treatment are made using <strong>the</strong> DAS response criteria. This study presents results for<br />

two definitions <strong>of</strong> classifying successful response: ACR20 and ACR50. Comparison <strong>of</strong> trials<br />

suggests similarities between <strong>the</strong> results <strong>of</strong> ACR and DAS responses. This model assumes<br />

that ACR20 corresponds to a moderate DAS28 score and ACR50 corresponds to a good<br />

DAS score. In addition, HAQ was mapped to a health utility measure (HUI 3). Analysis <strong>of</strong><br />

patient-level <strong>adalimumab</strong> data was used to calculate HAQ improvement in ACR20 and<br />

ACR50 responders. The model assumed that HAQ worsened after withdrawal from<br />

treatment, immediately at <strong>the</strong> point <strong>of</strong> withdrawal and equalled <strong>the</strong> initial HAQ improvement<br />

for all treatments<br />

Cost data handled Yes<br />

appropriately<br />

Modelling summary A decision-analytic model building on two previously described models. Patient-based<br />

transition state model, simulating a population <strong>of</strong> 10,000 patients. A cycle length <strong>of</strong> 6 months<br />

was used, within which <strong>the</strong> risks <strong>of</strong> withdrawal, adverse events and mortality were<br />

determined, based on experiences <strong>of</strong> an average patient. Patients were simulated for <strong>the</strong>ir<br />

lifetime. Model parameter values were derived from patient-level data analysis <strong>of</strong><br />

<strong>adalimumab</strong> RCTs or published sources<br />

Outcome measures used in At each 6-month cycle in <strong>the</strong> model <strong>the</strong> patients’ health-related quality <strong>of</strong> life scores were<br />

economic evaluations evaluated by simple linear transformation from <strong>the</strong> HAQ-DI score. From this a cost–utility<br />

analysis was possible<br />

Direction <strong>of</strong> result with NE quadrant<br />

appropriate quadrant location For <strong>the</strong> group ACR50/DAS28 good:<br />

€34,167 per QALY (<strong>adalimumab</strong> + MTX)<br />

€34,922 per QALY (<strong>adalimumab</strong> + MTX) a<br />

€35,760 per QALY (etanercept + MTX)<br />

€48,333 per QALY (infliximab + MTX)<br />

€41,561 per QALY (<strong>adalimumab</strong>)<br />

€36,927 per QALY (etanercept)<br />

For <strong>the</strong> group ACR20/DAS28 moderate:<br />

€40,875 per QALY (<strong>adalimumab</strong> + MTX)<br />

€44,018 per QALY (<strong>adalimumab</strong> + MTX) a<br />

€51,976 per QALY (etanercept + MTX)<br />

€64,935 per QALY (infliximab + MTX)<br />

€65,499 per QALY (<strong>adalimumab</strong>)<br />

€42,480 per QALY (etanercept)<br />

Statistical analysis for Patient-level data were used to calculate HAQ improvement in patients who were ACR20<br />

patient-level stochastic data and ACR50 responders<br />

Appropriateness <strong>of</strong> statistical Yes<br />

analysis<br />

Uncertainty around Yes. Cost-<strong>effectiveness</strong> acceptability curve and cost-<strong>effectiveness</strong> plane<br />

cost-<strong>effectiveness</strong> expressed<br />

Appropriateness <strong>of</strong> method Yes. Appropriate methods were used: both central values and probability density functions<br />

dealing with uncertainty were used to describe <strong>the</strong> distribution <strong>of</strong> uncertainty<br />

around cost <strong>effectiveness</strong><br />

Sensitivity analysis Yes. Univariate sensitivity analysis and multivariate sensitivity analysis were used. Uncertainty<br />

in assumptions around model structure was also explored<br />

Modelling inputs and Yes<br />

techniques appropriate<br />

Authors’ conclusions Adalimumab appears to be cost-effective for <strong>the</strong> treatment <strong>of</strong> moderate to severe RA.<br />

Results suggest that <strong>adalimumab</strong> is at least as cost-effective as o<strong>the</strong>r TNF inhibitors, with <strong>the</strong><br />

exception <strong>of</strong> infliximab; <strong>the</strong> cost results were between €35,000 and €42,000 per QALY,<br />

a range normally considered cost-effective in European countries<br />

a Including additional information from a larger <strong>adalimumab</strong> trial in a pooled analysis.<br />

171

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