Evidence map›Paper›PMID 30838395›Full record

SynthesisHuman reproduction (Oxford, England)2019

Are interventions in reproductive medicine assessed for plausible and clinically relevant effects? A systematic review of power and precision in trials and meta-analyses.

K Stocking, J Wilkinson, S Lensen, D R Brison, S A Roberts, A Vail

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Human reproduction (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Review
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  9. Surveys of clinician and patient attitudes to an add-on for in vitro fertilisation.The Australian & New Zealand journal of obstetrics & gynaecology · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

K StockingDepartment of Medical Statistics, Manchester University NHS Foundation Trust, Manchester, UK.
J WilkinsonCentre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK.
S LensenDepartment of Obstetrics and Gynaecology, University of Auckland, New Zealand.
D R BrisonDepartment of Reproductive Medicine, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
S A RobertsCentre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK.
A VailCentre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK.

Funding

Department of Health DRF-2014-07-050
6 · The paper itself

Abstract

study questionHow much statistical power do randomised controlled trials (RCTs) and meta-analyses have to investigate the effectiveness of interventions in reproductive medicine? SUMMARY ANSWER: The largest trials in reproductive medicine are unlikely to detect plausible improvements in live birth rate (LBR), and meta-analyses do not make up for this shortcoming. WHAT IS KNOWN ALREADY: Effectiveness of interventions is best evaluated using RCTs. In order to be informative, these trials should be designed to have sufficient power to detect the smallest clinically relevant effect. Similar trials can subsequently be pooled in meta-analyses to more precisely estimate treatment effects. STUDY DESIGN, SIZE, DURATION: A review of power and precision in 199 RCTs and meta-analyses from 107 Cochrane Reviews was conducted. PARTICIPANTS/MATERIALS, SETTING,

methodsSystematic reviews published by Cochrane Gynaecology and Fertility with the primary outcome live birth were identified. For each live birth (or ongoing pregnancy) meta-analysis and for the largest RCT in each, we calculated the power to detect absolute improvements in LBR of varying sizes. Additionally, the 95% CIs of estimated treatment effects from each meta-analysis and RCT were recorded, as these indicate the precision of the result. MAIN RESULTS AND THE ROLE OF CHANCE: Median (interquartile range) power to detect an improvement in LBR of 5 percentage points (pp) (e.g. 25-30%) was 13% (8-21%) for RCTs and 16% (9-33%) for meta-analyses. No RCTs and only 2% of meta-analyses achieved 80% power to detect an improvement of 5 pp. Median power was high (85% for trials and 93% for meta-analyses) only in relation to 20 pp absolute LBR improvement, although substantial numbers of trials and meta-analyses did not achieve 80% power even for this improbably large effect size. Median width of 95% CIs was 25 pp and 21 pp for RCTs and meta-analyses, respectively. We found that 28% of Cochrane Reviews with LBR as the primary outcome contain no live birth (or ongoing pregnancy) data. LARGE-SCALE DATA: The data used in this study may be accessed at https://osf.io/852tn/?view_only=90f1579ce72747ccbe572992573197bd. LIMITATIONS, REASONS FOR CAUTION: The design and analysis decisions used in this study are predicted to overestimate the power of trials and meta-analyses, and the size of the problem is therefore likely understated. For some interventions, it is possible that larger trials not reporting live birth or ongoing pregnancy have been conducted, which were not included in our sample. In relation to meta-analyses, we calculated power as though all participants were included in a single trial. This ignores heterogeneity between trials in a meta-analysis, and will cause us to overestimate power. WIDER IMPLICATIONS OF THE

findingsTrials capable of detecting realistic improvements in LBR are lacking in reproductive medicine, and meta-analyses are not large enough to overcome this deficiency. This situation will lead to unwarranted pessimism as well as unjustified enthusiasm regarding reproductive interventions, neither of which are consistent with the practice of evidence-based medicine or the idea of informed patient choice. However, RCTs and meta-analyses remain vital to establish the effectiveness of fertility interventions. We discuss strategies to improve the evidence base and call for collaborative studies focusing on the most important research questions. STUDY FUNDING/COMPETING INTEREST(S): There was no specific funding for this study. KS and SL declare no conflict of interest. AV consults for the Human Fertilisation and Embryology Authority (HFEA): all fees are paid directly to AV's employer. JW declares that publishing research benefits his career. SR is a Statistical Editor for Human Reproduction. JW and AV are Statistical Editors for Cochrane Gynaecology and Fertility. DRB is funded by the NHS as Scientific Director of a clinical IVF service. PROSPERO REGISTRATION NUMBER: None.

Indexed as

Live BirthBirth RateFemaleHumansInfertilityPregnancyRandomized Controlled Trials as TopicReproductive MedicineTreatment Outcomeclinical trialsinfertilitymeta-analysispowerrandomised controlled trialssubfertilitysystematic reviews

Identifiers

PMID30838395
PMCPMC6443111

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.