662 research outputs found

    Cost-effectiveness modelling of three different hysterosalpingography diagnostic strategies in addition to standard fertility management for couples with unexplained infertility in the United Kingdom

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    Funding: This research was supported by Guerbet, Paris, France. Guerbet had no influence on the results of this researchPeer reviewedPostprin

    Effectiveness of antenatal corticosteroids at term:Can we trust the data that 'inform' us?

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    Randomized controlled trials (RCTs) are a cornerstone for the assessment of the effectiveness of interventions. Appropriate randomization, design, sample size, statistical analyses, and conduct that reduces the risk of bias, enhance the chance they will deliver true research findings. The credibility of RCTs is difficult to assess without objective evidence of compliance with Good Clinical Practice standards. Remarkably, no mechanisms are in place both in the initial peer review process and during meta-analysis to assess these, and little guidance on how to assess data where research integrity cannot be confirmed (e.g. where data originated from a setting without established infrastructure or an era preceding current standards). We describe the case of the use of antenatal steroids. When these drugs are used in early preterm birth, their benefits outweigh the harms. However, later in pregnancy, and specifically at term, this balance is less clear. We describe that the four randomised clinical trials that inform clinical practice through the Cochrane meta-analysis, for various reasons, lack clear governance which makes it difficult to verify provenance and reliability of the data. We conclude that transparency and assessment of data credibility need to be inbuilt both at the time of publication and at the time of meta-analysis. This will drive up standards and encourage appropriate interpretation of results and the context from which they were derived.Ben W.Mol, Wentao Li, Shimona Lai, Sarah Stoc

    Statistical significance and publication reporting bias in abstracts of reproductive medicine studies

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    Funding Information: We thank Dr David Chavalarias from Complex Systems Institute of Paris Ile-de-France for sharing scripts in extracting P-values. B.W.M. is supported by an National Health and Medical Research Council (NHMRC) Investigator grant (GNT1176437); B.W.M. reports consultancy, research grants, and travel support from Merck. W.L. is supported by an NHMRC Investigator Grant (GNT2016729). Q.F. reports receiving a PhD scholarship from Merck. The other author has no conflict of interest to declare. Funding Information: B.W.M. is supported by an National Health and Medical Research Council (NHMRC) Investigator grant (GNT1176437); B.W.M. reports consultancy, research grants, and travel support from Merck. W.L. is supported by an NHMRC Investigator Grant (GNT2016729). Q.F. reports receiving a PhD scholarship from Merck. The other author has no conflict of interest to declare. Publisher Copyright: © 2024 Oxford University Press. All rights reserved.Peer reviewe

    Prognosis-based management of unexplained infertility-why not?

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    Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology.Peer reviewe

    The impact of body mass index on labour management and mode of delivery : A retrospective matched cohort study

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    FUNDINGBWM is supported by an NHMRC Investigator grant (GNT1176437). BWM reports consultancy, research funding and travel support from Merck.ACKNOWLEDGEMENTSOpen access publishing facilitated by Monash University, as part of the Wiley - Monash University agreement via the Council of Australian University Librarians.Peer reviewedPublisher PD
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