Evidence map›Paper›PMID 39354430›Full record

Observational studyBMC pregnancy and childbirth2024

Prediction model for spontaneous preterm birth less than 32 weeks of gestation in low-risk women with mid-trimester short cervical length: a retrospective cohort study.

Xiaoxiu Huang, Yimin Zhou, Bingqing Liu, Yuhui Huang, Mengni Wang, Na Li, Baohua Li

Abstract readObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Xiaoxiu Huang *Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Xueshi Rd No. 1, Hangzhou, 310006, Zhejiang, People's Republic of China.
Yimin Zhou *Department of Ultrasound, Women's Hospital, Zhejiang University School of Medicine, Xueshi Rd No. 1, Hangzhou, 310006, Zhejiang, People's Republic of China.
Bingqing LiuDepartment of Women's Health, Women's Hospital, Zhejiang University School of Medicine, Xueshi Rd No. 1, Hangzhou, 310006, Zhejiang, People's Republic of China.
Yuhui HuangSchool of Public Health, Zhejiang University, Hangtang Rd No. 866, Hangzhou, 310006, Zhejiang, People's Republic of China.
Mengni WangDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Xueshi Rd No. 1, Hangzhou, 310006, Zhejiang, People's Republic of China.
Na LiDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Xueshi Rd No. 1, Hangzhou, 310006, Zhejiang, People's Republic of China.
Baohua LiDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Xueshi Rd No. 1, Hangzhou, 310006, Zhejiang, People's Republic of China. lbh19787@zju.edu.cn.ORCID http://orcid.org/0000-0002-2205-3248

Funding

National Key Research and Development Program of China 2022YFC2704700Zhejiang Provincial Natural Science Foundation LTGC23H180001Zhejiang Provincial Natural Science Foundation LY24H040003
6 · The paper itself

Abstract

backgroundA short cervix in mid-trimester pregnancy is a risk factor for spontaneous preterm birth. However, there is currently a lack of predictive models and classification systems for predicting spontaneous preterm birth in these patients, especially those without additional risk factors for spontaneous preterm birth.

methodsA retrospective observational cohort study of low-risk singleton pregnant women with a short cervix (≤ 25 mm) measured by transvaginal ultrasonography between 22 and 24 weeks was conducted. A multivariate logistic regression model for spontaneous preterm birth < 32 weeks in low-risk pregnant women with a short cervix was constructed. Moreover, we developed a nomogram to visualize the prediction model and stratified patients into three risk groups (low-, intermediate-, and high-risk groups) based on the total score obtained from the nomogram model.

resultsBetween 2020 and 2022, 213 low-risk women with a short cervix in mid-trimester pregnancy were enrolled in the study. Univariate logistic analysis revealed that a high body mass index, a history of three or more miscarriages, multiparity, a short cervical length, leukocytosis, and an elevated C-reactive protein level were associated with spontaneous preterm birth < 32 weeks, but multivariate analysis revealed that multiparity (OR, 3.31; 95% CI, 1.13-9.68), leukocytosis (OR, 3.96; 95% CI, 1.24-12.61) and a short cervical length (OR, 0.88; 95% CI, 0.82-0.94) were independent predictors of sPTB < 32 weeks. The model incorporating these three predictors displayed good discrimination and calibration, and the area under the ROC curve of this model was as high as 0.815 (95% CI, 0.700-0.931). Patients were stratified into low- (195 patients), intermediate- (14 patients) and high-risk (4 patients) groups according to the model, corresponding to patients with scores ≤ 120, 121-146, and > 146, respectively. The predicted probabilities of spontaneous preterm birth < 32 weeks for these groups were 6.38, 40.62, and 71.88%, respectively.

conclusionsA noninvasive and efficient model to predict the occurrence of spontaneous preterm birth < 32 weeks in low-risk singleton pregnant women with a short cervix and a classification system were constructed in this study and can provide insight into the optimal management strategy for patients with different risk stratifications according to the score chart.

Indexed as

Cervical Length MeasurementCervix UteriNomogramsPregnancy Trimester, SecondPremature BirthAdultFemaleGestational AgeHumansLogistic ModelsPregnancyRetrospective StudiesRisk AssessmentRisk FactorsClassification systemLow-riskPredictive modelShort cervixSpontaneous preterm birth

Identifiers

PMID39354430
PMCPMC11443884

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.