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Record W1520431703 · doi:10.14740/jocmr2227w

Risk of Intrapartum Cervical Lacerations in Vaginal Singleton Deliveries in Women With Cerclage

2015· article· en· W1520431703 on OpenAlexvenueno aff
Shunji Suzuki

Bibliographic record

VenueJournal of Clinical Medicine Research · 2015
Typearticle
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineObstetricsOdds ratioCervical cerclagePregnancyGestationSingletonIncidence (geometry)Confidence intervalGynecologyCervical insufficiencyCervix

Abstract

fetched live from OpenAlex

BACKGROUND: We examined the obstetric outcomes of singleton vaginal deliveries in women with cerclage at our institute to confirm the risk of intrapartum cervical lacerations in vaginal deliveries of women with cerclage. METHODS: Data on all Japanese singleton vaginal deliveries at ≥ 34 weeks' gestation managed at the Japanese Red Cross Katsushika Maternity Hospital between 2008 and 2014 were collected. RESULTS: During the study period, cervical cerclage was performed in 95 of 9,490 (1.0%) women with singleton pregnancy at 12 - 22 weeks of singleton pregnancy who delivered at ≥ 34 weeks' gestation. The incidence of intrapartum cervical lacerations and postpartum hemorrhage ≥ 1,000 mL in the women with cerclage were higher significantly than that in the women without cerclage (cervical lacerations: crude odds ratio (OR): 26.9, 95% confidence interval (CI): 14 - 51, P < 0.01; postpartum hemorrhage: crude OR: 2.86, 95% CI: 1.6 - 4.9, P < 0.01). Using a multivariate analysis, cerclage was independently associated with the increased incidence of intrapartum cervical lacerations (P < 0.01). CONCLUSIONS: Cervical cerclage is an independent risk factor of intrapartum cervical lacerations in vaginal deliveries.

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)0.012
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.184
GPT teacher head0.490
Teacher spread0.306 · 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.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations7
Published2015
Admission routes1
Has abstractyes

Explore more

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