The evolution of reporting statistical inference in abstracts of obstetrical studies from 2013 to 2023

Although the reporting of effect sizes has gradually increased over time, the use of standalone P-values remains common. The consistently high proportion of abstracts presenting at least one statistically significant result might reflect entrenched reporting practices in the field.

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Publication Details

Journal
International Journal of Gynecology & Obstetrics
Published
2025-11-12
DOI
https://doi.org/10.1002/ijgo.70652
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
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article

The evolution of reporting statistical inference in abstracts of obstetrical studies from 2013 to 2023

Maya Reddy, Qian Feng, W Li, Ben W. Mol
International Journal of Gynecology & Obstetrics
Meta-analysis and systematic reviews
article

The evolution of reporting statistical inference in abstracts of obstetrical studies from 2013 to 2023

Maya Reddy, Qian Feng, W Li, Ben W. Mol
article en

Abstract

Although the reporting of effect sizes has gradually increased over time, the use of standalone P-values remains common. The consistently high proportion of abstracts presenting at least one statistically significant result might reflect entrenched reporting practices in the field.

International Journal of Gynecology & ObstetricsVol. 173(1)
UNSW Sydney (AU), National Centre for Clinical Research on Emerging Drugs (AU), Monash University (AU)
Openalex Percentile: Top 67%
Meta-analysis and systematic reviews
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