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Busse, Jason W.

https://orcid.org/0000-0002-0178-8712

Mayo Clinic

McMaster University

Citations 3

Management of chronic neuropathic pain: a protocol for a multiple treatment comparison meta-analysis of randomised controlled trials
Mulla, Sohail, Buckley, D. Norman , Moulin, Dwight E. , Couban, Rachel , Izhar, Zain, Agarwal, Arnav , Panju, Akbar, Wang, Li , Kallyth, Sun Makosso, Turan, Alparslan , Montori, Víctor M. , Thabane, Lehana , Busse, Jason W. , Agarwal, Arnav , Sessler, Daniel I. , Guyatt, Gordon , Montori, Victor M , Thabane, Lehana

BMJ Open | November 21, 2014 | Volume: 4 | Issue: 11 | Pages: e006112

10.1136/bmjopen-2014-006112 Get It

Introduction Chronic neuropathic pain is associated with reduced health-related quality of life and substantial socioeconomic costs. Current research addressing management of chronic neuropathic pain is limited. No review has evaluated all interventional studies for chronic neuropathic pain, which limits attempts to make inferences regarding the relative effectiveness of treatments. Methods and analysis We will conduct a systematic review of all randomised controlled trials evaluating therapies for chronic neuropathic pain. We will identify eligible trials, in any language, by a systematic search of CINAHL, EMBASE, MEDLINE, AMED, HealthSTAR, DARE, PsychINFO and the Cochrane Central Registry of Controlled Trials. Eligible trials will be: (1) enrol patients presenting with chronic neuropathic pain, and (2) randomise patients to alternative interventions (pharmacological or non-pharmacological) or an intervention and a control arm. Pairs of reviewers will, independently and in duplicate, screen titles and abstracts of identified citations, review the full texts of potentially eligible trials and extract information from eligible trials. We will use a modified Cochrane instrument to evaluate risk of bias of eligible studies, recommendations from the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) to inform the outcomes we will collect, and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system to evaluate our confidence in treatment effects. When possible, we will conduct: (1) in direct comparisons, a random-effects meta-analysis to establish the effect of reported therapies on patient-important outcomes; and (2) a multiple treatment comparison meta-analysis within a Bayesian framework to assess the relative effects of treatments. We will define a priori hypotheses to explain heterogeneity between studies, and conduct meta-regression and subgroup analyses consistent with the current best practices. Ethics and Dissemination We do not require ethics approval for our proposed review. We will disseminate our findings through peer-reviewed publications and conference presentations. Trial registration number PROSPERO (CRD42014009212).
Composite Outcomes Can Distort the Nature and Magnitude of Treatment Benefits in Clinical Trials
Ferreira‐González, Ignacio , Permanyer-Miralda, Gaieta, Busse, Jason W., Devereaux, P. J., Guyatt, Gordon H., Alonso-Coello, Pablo, Montori, Victor M., Busse, Jason W. , Permanyer-Miralda, Gaieta, Busse, Jason W., Devereaux, P. J., Guyatt, Gordon H., Alonso-Coello, Pablo, Montori, Victor M.

Annals of Internal Medicine | April 12, 2013 | Volume: 150 | Issue: 8 | Pages: 566-567

10.7326/0003-4819-150-8-200904210-00016 Get It

Use and Interpretation of Composite End Points in Orthopaedic Trials
Busse, Jason W. , Bhandari, Mohit , Ferreira‐González, Ignacio , Montori, Víctor M. , Guyatt, Gordon , Montori, Victor M

Journal of Bone and Joint Surgery | November 15, 2012 | Volume: 94 | Issue: Supplement_1 | Pages: 65-69

10.2106/jbjs.k.01287 Get It

Abstract: Randomized controlled trials in orthopaedics are often underpowered to detect important differences in outcomes. Composite end points (CEPs) hold promise as a strategy to address this issue by combining multiple end points into one summary measure, thus increasing the observed event rate. The use of CEPs by trialists, however, can be problematic when they include components that vary greatly in importance to patients and when differences in apparent effect between components are large. We present an overview of CEPs with a focus on appropriate design and interpretation of results.