Literature DB >> 16443796

Bias in clinical intervention research.

Lise Lotte Gluud1.   

Abstract

Research on bias in clinical trials may help identify some of the reasons why investigators sometimes reach the wrong conclusions about intervention effects. Several quality components for the assessment of bias control have been suggested, but although they seem intrinsically valid, empirical evidence is needed to evaluate their effects on the extent and direction of bias. This narrative review summarizes the findings of methodological studies on the influence of bias in clinical trials. A number of methodological studies suggest that lack of adequate randomization in published trial reports may be associated with more positive estimates of intervention effects. The influence of double-blinding and follow-up is less clear. Several studies have found a significant association between funding sources and pro-industry conclusions. However, the methodological studies also show that bias is difficult to detect and appraise. The extent of bias in individual trials is unpredictable. A-priori exclusion of trials with certain characteristics is not recommended. Appraising bias control in individual trials is necessary to avoid making incorrect conclusions about intervention effects.

Mesh:

Year:  2006        PMID: 16443796     DOI: 10.1093/aje/kwj069

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  160 in total

1.  Improving propensity for patient self-advocacy through wellness recovery action planning: results of a randomized controlled trial.

Authors:  Jessica A Jonikas; Dennis D Grey; Mary Ellen Copeland; Lisa A Razzano; Marie M Hamilton; Carol Bailey Floyd; Walter B Hudson; Judith A Cook
Journal:  Community Ment Health J       Date:  2011-12-14

2.  Consumer empowerment and self-advocacy outcomes in a randomized study of peer-led education.

Authors:  Susan A Pickett; Sita M Diehl; Pamela J Steigman; Joy D Prater; Anthony Fox; Patricia Shipley; Dennis D Grey; Judith A Cook
Journal:  Community Ment Health J       Date:  2012-03-30

3.  Methodological quality of preclinical stroke studies is not required for publication in high-impact journals.

Authors:  Jens Minnerup; Heike Wersching; Kai Diederich; Matthias Schilling; Erich Bernd Ringelstein; Jürgen Wellmann; Wolf-Rüdiger Schäbitz
Journal:  J Cereb Blood Flow Metab       Date:  2010-06-02       Impact factor: 6.200

4.  Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study.

Authors:  Lesley Wood; Matthias Egger; Lise Lotte Gluud; Kenneth F Schulz; Peter Jüni; Douglas G Altman; Christian Gluud; Richard M Martin; Anthony J G Wood; Jonathan A C Sterne
Journal:  BMJ       Date:  2008-03-03

Review 5.  Assessment of bias in outcomes reported in trials on pneumonia: a systematic review.

Authors:  T Avni; S Shiber-Ofer; L Leibovici; M Paul
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2013-12-19       Impact factor: 3.267

Review 6.  Critical appraisal of scientific articles: part 1 of a series on evaluation of scientific publications.

Authors:  Jean-Baptist du Prel; Bernd Röhrig; Maria Blettner
Journal:  Dtsch Arztebl Int       Date:  2009-02-13       Impact factor: 5.594

7.  Alternative approaches to assessing intervention effectiveness in randomized trials: application in a colorectal cancer screening study.

Authors:  Annette E Maxwell; Catherine M Crespi; Leda L Danao; Cynthia Antonio; Gabriel M Garcia; Roshan Bastani
Journal:  Cancer Causes Control       Date:  2011-06-16       Impact factor: 2.506

8.  Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE Statement.

Authors:  Julian Little; Julian P T Higgins; John P A Ioannidis; David Moher; France Gagnon; Erik von Elm; Muin J Khoury; Barbara Cohen; George Davey-Smith; Jeremy Grimshaw; Paul Scheet; Marta Gwinn; Robin E Williamson; Guang Yong Zou; Kim Hutchings; Candice Y Johnson; Valerie Tait; Miriam Wiens; Jean Golding; Cornelia van Duijn; John McLaughlin; Andrew Paterson; George Wells; Isabel Fortier; Matthew Freedman; Maja Zecevic; Richard King; Claire Infante-Rivard; Alex Stewart; Nick Birkett
Journal:  Hum Genet       Date:  2009-02-01       Impact factor: 4.132

9.  STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement.

Authors:  Julian Little; Julian P T Higgins; John P A Ioannidis; David Moher; France Gagnon; Erik von Elm; Muin J Khoury; Barbara Cohen; George Davey-Smith; Jeremy Grimshaw; Paul Scheet; Marta Gwinn; Robin E Williamson; Guang Yong Zou; Kim Hutchings; Candice Y Johnson; Valerie Tait; Miriam Wiens; Jean Golding; Cornelia van Duijn; John McLaughlin; Andrew Paterson; George Wells; Isabel Fortier; Matthew Freedman; Maja Zecevic; Richard King; Claire Infante-Rivard; Alex Stewart; Nick Birkett
Journal:  PLoS Med       Date:  2009-02-03       Impact factor: 11.069

10.  STrengthening the REporting of Genetic Association studies (STREGA)--an extension of the STROBE statement.

Authors:  Julian Little; Julian P T Higgins; John P A Ioannidis; David Moher; France Gagnon; Erik von Elm; Muin J Khoury; Barbara Cohen; George Davey-Smith; Jeremy Grimshaw; Paul Scheet; Marta Gwinn; Robin E Williamson; Guang Yong Zou; Kim Hutchings; Candice Y Johnson; Valerie Tait; Miriam Wiens; Jean Golding; Cornelia van Duijn; John McLaughlin; Andrew Paterson; George Wells; Isabel Fortier; Matthew Freedman; Maja Zecevic; Richard King; Claire Infante-Rivard; Alex Stewart; Nick Birkett
Journal:  Eur J Clin Invest       Date:  2009-04       Impact factor: 4.686

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.