Evidence map›Paper›PMID 42179721›Full record

ArticleFrontiers in reproductive health2026

A study on the distribution of high-risk pregnancies and the influencing factors of pregnancy outcomes in Changde City, Hunan Province, China.

Xiaoying Zhong, Zhaoping Wang, Sisi Hu, Cong Lu, Yao Huang, Jing Zhang, Xuan Ding

Abstract read
In one paragraph

Article in Frontiers in reproductive health, 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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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

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.

Xiaoying ZhongDepartment of Obstetrics, The Maternal and Child Health Hospital of Changde City, Changde, Hunan, China.
Zhaoping WangDepartment of Obstetrics, The Maternal and Child Health Hospital of Changde City, Changde, Hunan, China.
Sisi HuDepartment of Obstetrics, The Maternal and Child Health Hospital of Changde City, Changde, Hunan, China.
Cong LuDepartment of Obstetrics, The Maternal and Child Health Hospital of Changde City, Changde, Hunan, China.
Yao HuangDepartment of Obstetrics, The Maternal and Child Health Hospital of Changde City, Changde, Hunan, China.
Jing ZhangDepartment of Obstetrics and Gynecology, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, Hunan, China.
Xuan DingDepartment of Obstetrics, The Maternal and Child Health Hospital of Changde City, Changde, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the distribution of risk severity and the influencing factors of pregnancy outcomes among high-risk pregnant women in Changde City, Hunan Province, China. Methods: A total of 19,301 pregnant women from the jurisdiction of Changde City over the past year (July 2022 to July 2023) were selected as observational subjects. Their demographic information (including age, education level, occupation type, place of permanent residence) and prenatal care data [including gestational week at first check-up, number of prenatal visits, gravida, parity, high-risk assessment (dynamic evaluation), gestational week at delivery, mode of delivery, and maternal and neonatal outcomes] were analyzed and summarized. Univariate and multivariate logistic regression analyses were used to screen variables influencing pregnancy outcomes in high-risk pregnant women. The XGBoost algorithm was employed to construct a model for predicting pregnancy outcomes. Results: 14,196 (73.55%) were initially assessed as high-risk pregnancies. Furthermore, 567 high-risk pregnant women subsequently experienced an escalation in their risk level. Among the 14,196 high-risk pregnant women, the incidences of severe preeclampsia and postpartum hemorrhage were relatively high among adverse maternal outcomes, while the incidence of preterm birth and low birth weight infants was higher among adverse fetal and neonatal outcomes. Univariate and multivariate logistic regression analyses revealed that age, permanent residence, having fewer than 5 prenatal visits, BMI ≥28 kg/m Conclusion: The initial assessment rate of high-risk pregnancy among pregnant women in Changde City is high, and numerous factors influence adverse pregnancy outcomes. Clinically, it is essential to enhance precise screening and tiered management of high-risk pregnancies, implement targeted interventions for core risk factors, and strengthen health education and social support to minimize adverse maternal and infant outcomes and reduce the associated socioeconomic burden.

Indexed as

distributionhigh-risk pregnancyinfluencing factorspregnancy outcomeXGBoost

Identifiers

PMID42179721
PMCPMC13194099

What Socratic holds

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LicenceCC BY
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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 Socratic graph.