Comparative Effectiveness Without Head-to-Head Trials

The absence of head-to-head trials is a common challenge in comparative effectiveness research and health technology assessment. Indirect cross-trial treatment comparisons are possible, but can be biased by cross-trial differences in patient characteristics. Using only published aggregate data, adjustment for such biases may be impossible. Although individual patient data (IPD) would permit adjustment, they are rarely available for all trials. However, many researchers have the opportunity to access IPD for trials of one treatment, a new drug for example, but only aggregate data for trials of comparator treatments. We propose a method that leverages all available data in this setting by adjusting average patient characteristics in trials with IPD to match those reported for trials without IPD. Treatment outcomes, including continuous, categorical and censored time-to-event outcomes, can then be compared across balanced trial populations.The proposed method is illustrated by a comparison of adalimumab and etanercept for the treatment of psoriasis. IPD from trials of adalimumab versus placebo (n = 1025) were re-weighted to match the average baseline characteristics reported for a trial of etanercept versus placebo (n = 330). Reweighting was based on the estimated propensity of enrolment in the adalimumab versus etanercept trials. Before matching, patients in the adalimumab trials had lower mean age, greater prevalence of psoriatic arthritis, less prior use of systemic treatment or phototherapy, and a smaller mean percentage of body surface area affected than patients in the etanercept trial. After matching, these and all other available baseline characteristics were well balanced across trials. Symptom improvements of ≥75% and ≥90% (as measured by the Psoriasis Area and Severity Index [PASI] score at week 12) were experienced by an additional 17.2% and 14.8% of adalimumab-treated patients compared with the matched etanercept-treated patients (respectively, both p < 0.001). Mean percentage PASI score improvements frombaseline were also greater for adalimumab than for etanercept at weeks 4, 8 and 12 (all p < 0.05). Matching adjustment ensured that this indirect comparison was not biased by differences in mean baseline characteristics across trials, supporting the conclusion that adalimumab was associated with significantly greater symptom reduction than etanercept for the treatment of moderate to severe psoriasis.

[1]  P. Atanasov,et al.  Cost Utility of Adalimumab versus Infliximab Maintenance Therapies in the United States for Moderately to Severely Active Crohn’s Disease , 2012, PharmacoEconomics.

[2]  T. Lumley Network meta‐analysis for indirect treatment comparisons , 2002, Statistics in medicine.

[3]  D G Altman,et al.  Indirect comparisons of competing interventions. , 2005, Health technology assessment.

[4]  A. Gottlieb,et al.  Etanercept as monotherapy in patients with psoriasis. , 2003, The New England journal of medicine.

[5]  Gordon Guyatt,et al.  Meta-analyses of therapies for postmenopausal osteoporosis. IX: Summary of meta-analyses of therapies for postmenopausal osteoporosis. , 2002, Endocrine reviews.

[6]  S. Ross Trends in Meta-Analysis , 2009 .

[7]  Constantine Gatsonis,et al.  Analysing and Presenting Results , 2010 .

[8]  Douglas G. Altman,et al.  The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials , 2001, The Lancet.

[9]  Harold I Feldman,et al.  Individual patient‐ versus group‐level data meta‐regressions for the investigation of treatment effect modifiers: ecological bias rears its ugly head , 2002, Statistics in medicine.

[10]  D. Rubin,et al.  Reducing Bias in Observational Studies Using Subclassification on the Propensity Score , 1984 .

[11]  R. Moore,et al.  Single-patient data meta-analysis of 3453 postoperative patients: oral tramadol versus placebo, codeine and combination analgesics , 1997, Pain.

[12]  Michele Tarsilla Cochrane Handbook for Systematic Reviews of Interventions , 2010, Journal of MultiDisciplinary Evaluation.

[13]  J. Saurat,et al.  Efficacy and safety results from the randomized controlled comparative study of adalimumab vs. methotrexate vs. placebo in patients with psoriasis (CHAMPION) , 2007, The British journal of dermatology.

[14]  W. Gulliver,et al.  Psoriasis Comorbidities , 2009, Journal of cutaneous medicine and surgery.

[15]  Julian P T Higgins,et al.  Recent developments in meta‐analysis , 2008, Statistics in medicine.

[16]  H Goldstein,et al.  A multilevel model framework for meta-analysis of clinical trials with binary outcomes. , 2000, Statistics in medicine.

[17]  A. Brennan,et al.  PAR15 USING MIXED TREATMENT COMPARISONS AND METAREGRESSION TO PERFORM INDIRECT COMPARISONS TO ESTIMATE THE EFFICACY OF BIOLOGIC TREATMENTS IN RHEUMATOID ARTHRITIS , 2007 .

[18]  Elizabeth A Stuart,et al.  Matching methods for causal inference: A review and a look forward. , 2010, Statistical science : a review journal of the Institute of Mathematical Statistics.

[19]  M. Ranson,et al.  Chemotherapy in non-small cell lung cancer. , 1995, Annals of oncology : official journal of the European Society for Medical Oncology.

[20]  O. Brodin,et al.  Chemotherapy in non-small cell lung cancer: a meta-analysis using updated data on individual patients from 52 randomised clinical trials , 1995 .

[21]  B. Strober,et al.  Adalimumab therapy for moderate to severe psoriasis: A randomized, controlled phase III trial. , 2008, Journal of the American Academy of Dermatology.

[22]  Richard D Riley,et al.  Evidence synthesis combining individual patient data and aggregate data: a systematic review identified current practice and possible methods. , 2007, Journal of clinical epidemiology.

[23]  G. Imbens,et al.  Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score , 2000 .

[24]  Richard D Riley,et al.  Meta‐analysis of continuous outcomes combining individual patient data and aggregate data , 2008, Statistics in medicine.

[25]  S. Feldman,et al.  Quality of life in patients with psoriasis , 2006, Health and quality of life outcomes.

[26]  A. Kimball,et al.  The Psychosocial Burden of Psoriasis , 2005, American journal of clinical dermatology.

[27]  A J Sutton,et al.  Meta‐analysis of individual‐ and aggregate‐level data , 2008, Statistics in medicine.

[28]  J P Pignon,et al.  A meta-analysis of thoracic radiotherapy for small-cell lung cancer. , 1992, The New England journal of medicine.

[29]  A. Nakanishi,et al.  A global phase III randomized controlled trial of etanercept in psoriasis: safety, efficacy, and effect of dose reduction , 2005, The British journal of dermatology.

[30]  A. Phillips Trial and error: cross-trial comparisons of antiretroviral regimens , 2003, AIDS.

[31]  S D Walter,et al.  The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. , 1997, Journal of clinical epidemiology.

[32]  David J Margolis,et al.  Psoriasis is common, carries a substantial burden even when not extensive, and is associated with widespread treatment dissatisfaction. , 2004, The journal of investigative dermatology. Symposium proceedings.

[33]  B. Falissard,et al.  Using meta-regression in performing indirect-comparisons: comparing escitalopram with venlafaxine XR , 2006, Current medical research and opinion.

[34]  G. Imbens,et al.  Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score , 2002 .

[35]  B. Miller,et al.  Clinical response to adalimumab treatment in patients with moderate to severe psoriasis: double-blind, randomized controlled trial and open-label extension study. , 2006, Journal of the American Academy of Dermatology.

[36]  Keith Abrams,et al.  Use of Indirect and Mixed Treatment Comparisons for Technology Assessment , 2012, PharmacoEconomics.

[37]  Uwe Siebert,et al.  Are Key Principles for improved health technology assessment supported and used by health technology assessment organizations? , 2010, International Journal of Technology Assessment in Health Care.

[38]  R. Clarke,et al.  Lowering blood homocysteine with folic acid-based supplements: meta-analysis of randomised trials. , 2000, Indian heart journal.