Literature DB >> 31953657

Publication bias in diagnostic imaging: conference abstracts with positive conclusions are more likely to be published.

Lee Treanor1, Robert A Frank1, Lindsay A Cherpak1, Ana Dehmoobad Sharifabadi1, Jean-Paul Salameh2, Zachary Hallgrimson1, Nicholas Fabiano1, Trevor A McGrath1, Noemie Kraaijpoel3, Jason Yao1, Daniel A Korevaar4, Patrick M Bossuyt5, Matthew D F McInnes6.   

Abstract

OBJECTIVE: To evaluate whether imaging diagnostic test accuracy conference abstracts with positive conclusions or titles are more likely to reach full-text publication than those with negative (or neutral) conclusions or titles.
METHODS: Diagnostic accuracy research abstracts were included if they were presented at the 2011 or 2012 Radiological Society of North America conference. Full-text publication status at 5 years post conference abstract submission was determined. Conclusion and title positivity of conference abstracts were extracted, as well as potential confounding factors. The associations of conclusion and title positivity with publication status at 5 years post conference abstract submission were assessed using a multivariable logistic regression model. Conditional odds ratios were calculated to express the strength of associations, adjusting for the confounders.
RESULTS: In total, 282/400 (71%) of included conference abstracts reached full-text publication. A total of 246 out of 337 (74%) conference abstracts with positive conclusions resulted in full-text publications, compared with 26/48 (54%) with neutral conclusions and 5/15 (33%) with negative conclusions. In multivariable logistic regression, conclusion positivity was significantly associated with full-text publication (odds ratio 3.6; 95% CI 1.9-6.7 for conference abstracts with positive conclusions, compared with those with non-positive conclusions); this did not apply to title positivity (odds ratio 1.2; 95% CI 0.47-3.0).
CONCLUSION: Imaging conference abstracts with positive conclusions were more likely to be published as full-text articles. Title positivity was not associated with publication. This preferential publication pattern may lead to an overrepresentation of positive studies in the literature. An overrepresentation of positive studies may contribute to inflated estimates of test accuracy and has the potential to adversely influence patient care. KEY POINTS: • Imaging diagnostic test accuracy conference abstracts with positive conclusions were more likely to be reported as full-text articles than those with non-positive conclusions. • The majority (75%) of imaging diagnostic test accuracy conference abstracts with positive conclusions were published, compared with only 53% and 33% with neutral and negative conclusions, respectively. • Conclusion positivity remained associated with the full-text publication of conference abstracts when controlling for multiple potential confounding variables.

Entities:  

Keywords:  Diagnostic imaging; Diagnostic tests; Epidemiology; Publication bias; Research design; routine

Mesh:

Year:  2020        PMID: 31953657     DOI: 10.1007/s00330-019-06568-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  37 in total

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6.  Publication Bias: Association of Diagnostic Accuracy in Radiology Conference Abstracts with Full-Text Publication.

Authors:  Lindsay A Cherpak; Daniel A Korevaar; Trevor A McGrath; Wilfred Dang; Daniel Walker; Jean-Paul Salameh; Anahita Dehmoobad Sharifabadi; Matthew D F McInnes
Journal:  Radiology       Date:  2019-05-28       Impact factor: 11.105

7.  Citation bias in imaging research: are studies with higher diagnostic accuracy estimates cited more often?

Authors:  Robert A Frank; Anahita Dehmoobad Sharifabadi; Jean-Paul Salameh; Trevor A McGrath; Noémie Kraaijpoel; Wilfred Dang; Nicole Li; Isabelle D Gauthier; Mark Z Wu; Patrick M Bossuyt; Deborah Levine; Matthew D F McInnes
Journal:  Eur Radiol       Date:  2018-11-15       Impact factor: 5.315

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Authors:  Daniël A Korevaar; Jérémie F Cohen; René Spijker; Ian J Saldanha; Kay Dickersin; Gianni Virgili; Lotty Hooft; Patrick M M Bossuyt
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