Literature DB >> 10932430

Is there bias in the publication of individual patient data meta-analyses?

J F Tierney, M Clarke, L A Stewart.   

Abstract

OBJECTIVE: There is increasing empirical evidence for the existence of bias in the publication of primary clinical research, with statistically significant results being published more readily, more quickly, and in higher impact journals. Meta-analysis of individual patient data (IPD) may represent a gold standard of "secondary" clinical research, giving the best possible summary of current evidence for a particular question, but publication of these may also be subject to bias. This study aimed to explore which factors might be associated with publication of IPD meta-analyses and to identify potential sources of bias.
METHODS: For all known IPD meta-analysis projects in cancer, the responsible investigator was surveyed by means of a questionnaire to determine descriptive characteristics of the meta-analysis, the nature of the results, and details of the publication history.
RESULTS: There is no good evidence that overall publication status of meta-analyses in cancer is dependent on the statistical or clinical significance of the results. However, those meta-analyses with nonsignificant results did seem to take longer to publish and were published in lower impact journals compared with those with more striking results.
CONCLUSIONS: Based on the current data, there seems to be no strong association between the results of IPD meta-analyses in cancer and publication.

Entities:  

Mesh:

Year:  2000        PMID: 10932430     DOI: 10.1017/s0266462300101217

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  5 in total

1.  Individual patient data meta-analysis is needed in Chinese medical research.

Authors:  Shi-Yan Yan; Li-Yun He; Bao-Yan Liu
Journal:  Chin J Integr Med       Date:  2014-11-20       Impact factor: 1.978

Review 2.  Time to publication for results of clinical trials.

Authors:  S Hopewell; M Clarke; L Stewart; J Tierney
Journal:  Cochrane Database Syst Rev       Date:  2007-04-18

3.  The strengths and limitations of meta-analyses based on aggregate data.

Authors:  Gary H Lyman; Nicole M Kuderer
Journal:  BMC Med Res Methodol       Date:  2005-04-25       Impact factor: 4.615

4.  Prognostic and Clinicopathological Value of ZWINT Expression Levels in Patients with Lung Adenocarcinoma: A Systematic Review and Meta-analysis.

Authors:  Ran Zhu; Huaguo Wang; Ling Lin
Journal:  Clinics (Sao Paulo)       Date:  2021-11-26       Impact factor: 2.365

5.  Following 411 Cochrane protocols to completion: a retrospective cohort study.

Authors:  Andrea C Tricco; Jamie Brehaut; Maggie H Chen; David Moher
Journal:  PLoS One       Date:  2008-11-10       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.