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A systematic review of the effectiveness of adalimumab

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166<br />

Appendix 8<br />

TABLE 81 Welsing et al., 2004 165 (cont’d)<br />

Cost data handled Yes. Costs were assigned from a 48-week multicentre trial with MTX that included<br />

appropriately 411 patients. Medical and non-medical (absence from paid work, travel expenses) costs were<br />

collected<br />

Modelling summary A Markov model consisting <strong>of</strong> health states defined by <strong>the</strong> DAS. A cycle length <strong>of</strong> 3 months<br />

was used. Markov states from remission (DAS 2.4),<br />

moderate disease activity (2.4< DAS >3.7) and high disease activity (DAS28>3.7) were<br />

used. A time limit <strong>of</strong> 5 years (20 cycles) was applied. A specific Markov model was used with<br />

<strong>the</strong> same structure and <strong>the</strong> same costs and utility values <strong>of</strong> <strong>the</strong> Markov states for each<br />

treatment strategy. The models used specific transition probabilities and costs for <strong>the</strong><br />

respective drug treatments. Using <strong>the</strong>se models, <strong>the</strong> expected costs and effects were<br />

compared between <strong>the</strong> different treatment strategies<br />

Outcome measures used in QALYs were compared between <strong>the</strong> different treatment strategies to calculate cost per<br />

economic evaluations QALY and ICERs. EQ-5D was used to calculate utilities. Also considered was cost per<br />

patient-year in <strong>the</strong> three DAS28 states<br />

Direction <strong>of</strong> result with NE quadrant, except for a small number <strong>of</strong> studies in <strong>the</strong> NW quadrant, relating to<br />

appropriate quadrant location comparisons between interventions 4 and 5. Etanercept alone was dominated by<br />

leflunomide/etanercept combinations. Versus usual treatment <strong>the</strong> ICERs were €163,556 per<br />

QALY for LEF–Etan and €297,151 per QALY for Etan–LEF. Versus leflunomide <strong>the</strong> ICERs<br />

were €317,627 per QALY for LEF–Etan and €517,061 per QALY for Etan–LEF<br />

Statistical analysis for Not undertaken<br />

patient-level stochastic data<br />

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

analysis<br />

Uncertainty around Yes. Model uncertainty was explored using PSA. Distributions were specified for <strong>the</strong><br />

cost-<strong>effectiveness</strong> expressed transition probabilities, <strong>the</strong> costs and <strong>the</strong> utility values <strong>of</strong> <strong>the</strong> Markov states and for <strong>the</strong><br />

response <strong>of</strong> etanercept (EULAR good/moderate) and leflunomide treatment (ACR20) after<br />

3 months. 2.5–97.5 percentiles were reported from PSA for costs and QALYs, but no ICERs<br />

were given<br />

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

dealing with uncertainty<br />

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

Sensitivity analysis Yes. One-way sensitivity analysis was applied to determine <strong>the</strong> relative importance <strong>of</strong><br />

different parameters for <strong>the</strong> primary outcome. Correlations between <strong>the</strong> parameters and<br />

outcomes were calculated. Important model parameter values as defined by <strong>the</strong> correlation<br />

were also varied in a one-way sensitivity analysis<br />

Modelling inputs and Yes<br />

techniques appropriate<br />

Authors’ conclusions Treatment strategies that include TNF inhibitors are probably <strong>the</strong> most effective for patients<br />

in whom two DMARDs have previously failed, <strong>of</strong> which one is MTX. From <strong>the</strong>se strategies,<br />

treatment starting with leflunomide, and in <strong>the</strong> case <strong>of</strong> non-response switching to a TNF<br />

inhibitor, probably results in <strong>the</strong> most favourable ratio between <strong>the</strong> extra costs and effects<br />

PSA, probabilistic sensitivity analysis.

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