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      The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials.

      Journal of Clinical Epidemiology

      Treatment Outcome, AIDS-Related Opportunistic Infections, drug therapy, immunology, Anti-Infective Agents, therapeutic use, CD4 Lymphocyte Count, Humans, Meta-Analysis as Topic, Models, Statistical, Odds Ratio, Pneumonia, Pneumocystis, prevention & control, Randomized Controlled Trials as Topic, Time Factors

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          Abstract

          When little or no data directly comparing two treatments are available, investigators often rely on indirect comparisons from studies testing the treatments against a control or placebo. One approach to indirect comparison is to pool findings from the active treatment arms of the original controlled trials. This approach offers no advantage over a comparison of observational study data and is prone to bias. We present an alternative model that evaluates the differences between treatment and placebo in two sets of clinical trials, and preserves the randomization of the originally assigned patient groups. We apply the method to data on sulphamethoxazole-trimethoprim or dapsone/pyrimethamine as prophylaxis against Pneumocystis carinii in HIV infected patients. The indirect comparison showed substantial increased benefit from the former (odds ratio 0.37, 95% CI 0.21 to 0.65), while direct comparisons from randomized trials suggests a much smaller difference (risk ratio 0.64, 95% CI 0.45 to 0.90; p-value for difference of effect = 0.11). Direct comparisons of treatments should be sought. When direct comparisons are unavailable, indirect comparison meta-analysis should evaluate the magnitude of treatment effects across studies, recognizing the limited strength of inference.

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