Assessment of inverse publication bias in safety outcomes: an empirical analysis

Our findings provide supporting evidence of IPB in the SMART Safety dataset of adverse events. They also suggest the importance of researchers carefully accounting for the direction of statistical tests for IPB, as well as the challenges of assessing IPB using statistical methods, especially considering that the number of studies is typically small. Qualitative assessments may be a necessary supplement to gain a more comprehensive understanding of IPB.

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Publication Details

Journal
BMC Medicine
Published
2024-10-25
DOI
https://doi.org/10.1186/s12916-024-03707-2
Citations
4
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
Type
article
Field-Weighted Citation Impact
1.40

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article

Assessment of inverse publication bias in safety outcomes: an empirical analysis

Linyu Shi, Jianan Zhu, Lifeng Lin, Chang Xu et al.
4 citations
BMC Medicine
Pharmacovigilance and Adverse Drug Reactions
1.40
article

Assessment of inverse publication bias in safety outcomes: an empirical analysis

Linyu Shi, Jianan Zhu, Lifeng Lin, Chang Xu, Xing Xing
article en
4 citations

Abstract

Our findings provide supporting evidence of IPB in the SMART Safety dataset of adverse events. They also suggest the importance of researchers carefully accounting for the direction of statistical tests for IPB, as well as the challenges of assessing IPB using statistical methods, especially considering that the number of studies is typically small. Qualitative assessments may be a necessary supplement to gain a more comprehensive understanding of IPB.

BMC MedicineVol. 22(1)
University of Arizona (US), Johns Hopkins University (US), Second Military Medical University (CN), AbbVie (United States) (US), Eastern Hepatobiliary Surgery Hospital (CN), New York University (US)
Arizona Biomedical Research Commission, National Institute of Mental Health, U.S. National Library of Medicine
Openalex Percentile: Top 19%
Pharmacovigilance and Adverse Drug Reactions
1.40
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