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Open AccessResearch article

Publication bias in gastroenterological research – a retrospective cohort study based on abstracts submitted to a scientific meeting

Antje Timmer1 email, Robert J Hilsden1 email, John Cole2 email, David Hailey3 email and Lloyd R Sutherland1 email

1Department of Community Health Sciences, University of Calgary, Calgary, Canada

2Medical Library, University of Calgary, Calgary, Canada

3Department of Public Health Sciences, University of Alberta, Edmonton, Canada

author email corresponding author email

BMC Medical Research Methodology 2002, 2:7doi:10.1186/1471-2288-2-7

Published: 26 April 2002

Abstract

Background

The aim of this study was to examine the determinants of publication and whether publication bias occurred in gastroenterological research.

Methods

A random sample of abstracts submitted to DDW, the major GI meeting (1992–1995) was evaluated. The publication status was determined by database searches, complemented by a mailed survey to abstract authors. Determinants of publication were examined by Cox proportional hazards model and multiple logistic regression.

Results

The sample included abstracts on 326 controlled clinical trials (CCT), 336 other clinical research reports (OCR), and 174 basic science studies (BSS). 392 abstracts (47%) were published as full papers. Acceptance for presentation at the meeting was a strong predictor of subsequent publication for all research types (overall, 54% vs. 34%, OR 2.3, 95% CI 1.7 to 3.1). In the multivariate analysis, multi-center status was found to predict publication (OR 2.8, 95% CI 1.6–4.9). There was no significant association between direction of study results and subsequent publication. Studies were less likely to be published in high impact journals if the results were not statistically significant (OR 0.5, 95 CI 95% 0.3–0.6). The author survey identified lack of time or interest as the main reason for failure to publish.

Conclusions

Abstracts which were selected for presentation at the DDW are more likely to be followed by full publications. The statistical significance of the study results was not found to be a predictor of publication but influences the chances for high impact publication.


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