Evidence map›Paper›PMID 42877099›Full record

SynthesisBMJ medicine2026

Progestogens, cervical cerclage, and cervical pessary for preventing preterm birth in asymptomatic singleton pregnancies with a sonographic short cervix and no previous history of spontaneous preterm birth: systematic review and bayesian network meta-analysis.

Hanglin Wu, Liming Yu, Jindi Zhang, Maria Goya, Katsufumi Otsuki, Sara Cruz-Melguizo, XueWen Fu

Abstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in BMJ medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Hanglin WuDepartment of Obstetrics and Gynaecology, Hangzhou Women's Hospital, Hangzhou, China.ORCID https://orcid.org/0000-0001-7882-3072
Liming YuDepartment of Obstetrics and Gynaecology, Hangzhou Women's Hospital, Hangzhou, China.
Jindi ZhangDepartment of Obstetrics and Gynaecology, Hangzhou Women's Hospital, Hangzhou, China.
Maria GoyaFacultativa Especialista de Obstetricia y Ginecología, Vall d'Hebron Institut de Recerca, Barcelona, Spain.
Katsufumi OtsukiDepartment of Obstetrics and Gynaecology, Showa Medical University Koto Toyosu Hospital, Tokyo, Japan.
Sara Cruz-MelguizoServicio de Ginecología y Obstetricia, Hospital Universitario San Jorge-Jaca, Huesca, Spain.ORCID https://orcid.org/0000-0003-4281-8276
XueWen FuDepartment of Obstetrics and Gynaecology, Hangzhou Women's Hospital, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare the efficacy of different interventions to prevent preterm birth in asymptomatic singleton pregnancies with a sonographic short cervix and no previous history of spontaneous preterm birth. Design: Systematic review and bayesian network meta-analysis. Data sources: Ovid Medline, Cochrane Library, Embase, ClinicalTrials.gov, Google Scholar, and Chinese databases, from inception to 13 March 2025, updated 3 February 2026. Eligibility criteria for selecting studies: Randomised controlled trials comparing two or more active interventions or comparing an active intervention with a control (placebo, expectant management, or usual care) to prevent preterm birth in asymptomatic women with singleton pregnancies and a sonographic short cervix, but no previous history of spontaneous preterm birth. Results: The primary outcomes were preterm birth before 34 and 37 weeks' gestation. 26 randomised controlled trials (8561 women) were identified, with 6004 participants included in the network meta-analysis. In direct pairwise comparisons, vaginal progesterone monotherapy was supported by high certainty evidence as a highly effective intervention for reducing preterm birth before 34 weeks' gestation (risk ratio 0.56, 95% confidence interval (CI) 0.44 to 0.72). In the network meta-analysis for preterm birth before 34 weeks' gestation (24 randomised controlled trials, 5738 women), vaginal progesterone monotherapy maintained a high efficacy ranking (mean rank 3.3, probability of risk ratio <1.00=96.4%), alongside the highest ranking of pessary with vaginal progesterone (mean rank 1.5, probability of risk ratio <1.00=99.1%). For preterm birth before 37 weeks' gestation (16 randomised controlled trials, 4203 women), vaginal progesterone monotherapy similarly showed a strong probability of risk reduction (probability of risk ratio <1.00=92.0%, mean rank 3.4). In terms of safety, direct evidence showed that vaginal progesterone monotherapy was associated with a significantly lower risk of maternal adverse events than combination treatments (risk ratio 0.56, 95% CI 0.42 to 0.76). Efficacy and safety hierarchies of vaginal progesterone remained highly robust across sensitivity analyses. For most secondary outcomes, the certainty of evidence was generally low, with moderate to high between study variability. Conclusions: The results showed that vaginal progesterone monotherapy remains the benchmark standard of care for the prevention of preterm birth, uniquely combining high certainty direct evidence, strong efficacy rankings, and excellent maternal safety. Although combination treatments showed high efficacy rankings, their routine clinical adoption should be restricted to research settings given the safety concerns and lower certainty evidence. A cervical pessary might be an alternative to vaginal progesterone in selected populations. Systematic review registration: PROSPERO CRD420251004808.

Indexed as

Cerclage, CervicalCervix UteriPessariesPremature BirthProgesteroneProgestinsAdministration, IntravaginalBayes TheoremFemaleHumansPregnancyRandomized Controlled Trials as TopicProgesteroneProgestinsObstetricsPrenatal care

Identifiers

PMID42877099
PMCPMC13662088

What OpenQuestion holds

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Registered trials

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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.