%0 Journal Article %1 Moulis2014 %A Moulis, G %A Sommet, A %D 2014 %J La Revue de médecine interne / fondée ... par la Société nationale francaise de médecine interne %K Anti-InflammatoryAgents Anti-InflammatoryAgents:therapeuticuse Arthritis Bias(Epidemiology) DataInterpretation Evidence-BasedMedicine Evidence-BasedMedicine:methods Evidence-BasedMedicine:statistics&numericalda Humans Meta-AnalysisasTopic Neoplasms Neoplasms:epidemiology Neoplasms:etiology ResearchDesign Rheumatoid Rheumatoid:drugtherapy Rheumatoid:epidemiology RiskFactors Statistical TumorNecrosisFactor-alpha TumorNecrosisFactor-alpha:antagonists&inhibit %N 4 %P 250-8 %R 10.1016/j.revmed.2013.07.011 %T How to read a meta-analysis?. %U http://www.ncbi.nlm.nih.gov/pubmed/24029290 %V 35 %X Meta-analysis is aimed at assessing an exhaustive, unbiased, reproducible, quantified and accurate synthesis of a research problem. It is sustained by a systematic review of the literature and has statistical particularities. Sources of error and bias are numerous. In this paper, we describe them following the methodology steps of a well-conducted meta-analysis. Causes of divergent conclusions of meta-analyses are described and illustrated with the example of cancer risk assessment in TNF inhibitor-treated rheumatoid arthritis patients. Eventually, this article provides key-points to help readers to detect sources of error and bias in meta-analyses.

@article{Moulis2014, abstract = {Meta-analysis is aimed at assessing an exhaustive, unbiased, reproducible, quantified and accurate synthesis of a research problem. It is sustained by a systematic review of the literature and has statistical particularities. Sources of error and bias are numerous. In this paper, we describe them following the methodology steps of a well-conducted meta-analysis. Causes of divergent conclusions of meta-analyses are described and illustrated with the example of cancer risk assessment in TNF inhibitor-treated rheumatoid arthritis patients. Eventually, this article provides key-points to help readers to detect sources of error and bias in meta-analyses.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Moulis, G and Sommet, A}, biburl = {https://www.bibsonomy.org/bibtex/2ee5707c06842d12ae519781307ec58d4/jepcastel}, doi = {10.1016/j.revmed.2013.07.011}, interhash = {6b635e46952e713cef43ca08ecff7377}, intrahash = {ee5707c06842d12ae519781307ec58d4}, issn = {1768-3122}, journal = {La Revue de médecine interne / fondée ... par la Société nationale francaise de médecine interne}, keywords = {Anti-InflammatoryAgents Anti-InflammatoryAgents:therapeuticuse Arthritis Bias(Epidemiology) DataInterpretation Evidence-BasedMedicine Evidence-BasedMedicine:methods Evidence-BasedMedicine:statistics&numericalda Humans Meta-AnalysisasTopic Neoplasms Neoplasms:epidemiology Neoplasms:etiology ResearchDesign Rheumatoid Rheumatoid:drugtherapy Rheumatoid:epidemiology RiskFactors Statistical TumorNecrosisFactor-alpha TumorNecrosisFactor-alpha:antagonists&inhibit}, month = {4}, note = {Critical appraisal; Introductori; Metaanàlisi}, number = 4, pages = {250-8}, pmid = {24029290}, timestamp = {2023-02-03T11:44:35.000+0100}, title = {[How to read a meta-analysis?].}, url = {http://www.ncbi.nlm.nih.gov/pubmed/24029290}, volume = 35, year = 2014 }