Evidence map›Paper›PMID 39544738›Full record

ArticleAmerican journal of translational research2024

Establishment and validation of a prognostic model for premature rupture of membranes and preterm delivery in pregnant women after cervical conization.

Yingling Xiu, Zhi Lin, Mian Pan

Abstract read
In one paragraph

Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

2 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

3 authors.

Yingling XiuDepartment of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University Fuzhou 350001, Fujian, China.
Zhi LinDepartment of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University Fuzhou 350001, Fujian, China.
Mian PanDepartment of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University Fuzhou 350001, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the risk factors for premature rupture of membranes (PROM) and preterm birth in pregnant women following cervical conization. A nomogram model was developed and validated to predict the occurrence of PROM and preterm birth in this population.

methodsA total of 100 pregnant women who had undergone cervical conization between January 2014 and December 2023 were included. The participants were divided into two groups: 52 in the PROM group and 48 in the non-PROM group. Additionally, 43 cases were in the preterm birth group, and 57 were in the full-term group. Maternal age, body mass index (BMI) during pregnancy, and the conization method were recorded. A nomogram model was constructed to predict PROM and preterm birth, with the predictive performance evaluated using the area under the ROC curve (AUC), C-index, and decision curve analysis (DCA).

resultsUnivariate and multivariate regression analyses identified pre-pregnancy obesity, advanced maternal age, time after conization, and second-trimester cervical length as significant risk factors for PROM and preterm birth. These factors were incorporated into a clinical nomogram. Calibration curves demonstrated excellent internal and external accuracy for the model. The AUC for the nomogram was 0.8746. DCA showed the clinical utility of the model when the threshold probability ranged from 20% to 60%.

conclusionPre-pregnancy obesity, advanced maternal age, time since conization (<12 months), and second-trimester cervical length (<25 mm) were identified as independent risk factors for predicting PROM and preterm birth in pregnant women after cervical conization.

Indexed as

cervical conizationnomogram modelpremature rupture of membranesPreterm birthrisk factors

Identifiers

PMID39544738
PMCPMC11558365

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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.