title: Meta-analysis as the core of evidence-based behavioral medicine: tools and pitfalls of a statistical approach.
abstract: OBJECTIVE
  Meta-analyses have a significant impact on clinical decision-making. In behavioral medicine, they are regularly used to derive clinical practice guidelines. Owing to an increasing complexity of data integration methods used, their interpretation has become a challenge to clinicians and researchers. This review aims to provide an accessible introduction to recent advances in the methodology and reporting style of quantitative reviews within the field of behavioral medicine.
  
  
  RESULTS
  Meta-analytical findings are sensitive to the precise methods used. State-of-the-art criteria for reporting of clinical trials and meta-analyses have been put forward. Further adaptations of these criteria result from recent meta-analyses of the placebo effect in clinical trials. There is a need to carefully develop and evaluate methods to deal with patient dropout and missing data. Useful methods to evaluate diagnostic test accuracy and meta-analytically evaluate direct and indirect treatment comparisons have recently been developed.
  
  
  CONCLUSIONS
  In the interdisciplinary field of behavioral medicine, meta-analyses are applied to evaluate interventions, diagnostic instruments, and procedures, and to derive evidence-based treatment recommendations. Criteria to improve reporting quality and methods to control for potential biases have been adapted to meet the requirements of research in behavioral medicine today.
authors.affiliation: Department of Psychology, Clinical Psychology and Psychotherapy, Philipps-University of Marburg, Germany. yn@staff.uni-marburg.de
authors.forename: Yvonne
authors.initials: Y
authors.lastname: Nestoriuc
authors.forename: Levente
authors.initials: L
authors.lastname: Kriston
authors.forename: Winfried
authors.initials: W
authors.lastname: Rief
mesh_terms: D001524:Behavioral Medicine / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D019317:Evidence-Based Medicine / Q000592:standards* / Q000706:statistics & numerical data*; D006801:Humans; D015201:Meta-Analysis as Topic