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Record W4404726401 · doi:10.1016/j.ajogmf.2024.101555

The effectiveness of ultrasound-indicated cerclage for the reduction of extreme preterm birth in twin pregnancies with a short cervix: a systematic review and meta-analysis

2024· review· en· W4404726401 on OpenAlexaboutno aff
Renske dutilh, Ms Nerissa Denswil, Dr Marjon A de-Boer, Prof Dr Eva Pajkrt, Prof Dr Martijn A Oudijk

Bibliographic record

VenueAmerican Journal of Obstetrics & Gynecology MFM · 2024
Typereview
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisObstetricsMedicineCervixTwin PregnancyPreterm deliveryCervical cerclageGynecologyPregnancyFetusGestationBiologyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This study aimed to evaluate the effectiveness of cervical cerclage in women with a twin pregnancy and a midpregnancy asymptomatic short cervix (≤25 mm), in preventing preterm birth and improving neonatal outcomes. DATA SOURCES: Systematic searches were conducted in MEDLINE, Embase, Web of Science, Scopus, and Cochrane Library up to April 17, 2023, updated in September and February 2024. STUDY ELIGIBILITY CRITERIA: Included were randomized controlled trials, cohort studies, and case-control studies comparing cerclage with expectant management in twin pregnancies and an asymptomatic short cervix (≤25 mm). METHODS: Risk of bias was assessed using the Newcastle-Ottawa Quality Assessment Scale and the Risk of Bias 2 tool. Data were analyzed using RevMan 5.4 using a random-effects model. RESULTS: Three randomized controlled trials and 13 cohort studies, involving 696 cerclage patients and 595 controls, were analyzed. Combined randomized controlled trial findings (N=49) found no significant difference in preterm birth occurrence after adjustment for preterm birth history and gestational age. Neonates from cerclage-treated mothers exhibited significantly higher rates of respiratory distress syndrome (adjusted odds ratio, 3.88; 95% confidence interval, 1.09-21.03) and very low birthweight (adjusted odds ratio, 2.22; 95% confidence interval, 1.07-5.73). In contrast, pooled cohort data indicated significantly less preterm birth rates in women with a cerclage: at 34 weeks (relative risk, 0.75; 95% confidence interval, 0.63-0.90), 32 weeks (relative risk, 0.67; 95% confidence interval, 0.49-0.90), and 28 weeks (relative risk, 0.572; 95% confidence interval, 0.39-0.83). Cerclage also reduced risk for infants <1500 g, respiratory distress syndrome, admission at the neonatal intensive care unit, and sepsis. Women with cervical length <15 mm and a cerclage experienced fewer preterm birth rates at <37 weeks (relative risk, 0.88; 95% confidence interval, 0.81-0.94), 34 weeks (relative risk, 0.70; 95% confidence interval, 0.57-0.87), 32 weeks (relative risk, 0.63; 95% confidence interval, 0.50-0.80), and 28 weeks (relative risk, 0.43; 95% confidence interval, 0.32-0.59). Perinatal mortality risk was significant lower in neonates born to mothers with a cerclage. For women with cervical length between 16 and 25 mm, no significant differences in outcomes were observed. CONCLUSION: Based on our meta-analysis, cerclage may benefit women with a twin pregnancy with an asymptomatic midpregnancy short cervix <25 mm, especially in women with a cervix <15 mm, by reducing preterm birth and improving neonatal outcomes. However, the differences between randomized controlled trials and recent cohort studies emphasize the need for well-powered randomized controlled trials on neonatal outcomes before introducing cerclage in clinical practice for these women.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.775
Threshold uncertainty score0.828

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0010.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.323
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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