Evidence map›Paper›PMID 38844895›Full record

ArticleBMC public health2024

Risk factors for maternal near-miss in an undeveloped province in south-central China, 2012-2022.

Xu Zhou, Junqun Fang, Yinglan Wu, Jie Gao, Xiaoying Chen, Aihua Wang, Chuqiang Shu

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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.

Xu ZhouHunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China.
Junqun FangHunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China.
Yinglan WuHunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China. 275513435@qq.com.
Jie GaoHunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China.
Xiaoying ChenHunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China. 93313849@qq.com.
Aihua WangHunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China.
Chuqiang ShuHunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China.

Funding

Hunan Provincial Clinical Medical Research Center for Reproductive Health and Gynecological Endocrine Diseases 2017SK4006
6 · The paper itself

Abstract

objectiveTo explore the risk factors for maternal near-miss (MNM) using the WHO near-miss approach.

methodsData were obtained from the Maternal Near-Miss Surveillance System in Hunan Province, China, 2012-2022. Multivariate logistic regression analysis (method: Forward, Wald, α = 0.05) and adjusted odds ratios (aORs) were used to identify risk factors for MNM.

resultsOur study included 780,359 women with 731,185 live births, a total of 2461 (0.32%) MNMs, 777,846 (99.68%) non-MNMs, and 52 (0.006%) maternal deaths were identified. The MNM ratio was 3.37‰ (95%CI: 3.23-3.50). Coagulation/hematological dysfunction was the most common cause of MNM (75.66%). Results of multivariate logistic regression analysis showed risk factors for MNM: maternal age > = 30 years old (aOR > 1, P < 0.05), unmarried women (aOR = 2.21, 95%CI: 1.71-2.85), number of pregnancies > = 2 (aOR > 1, P < 0.05), nulliparity (aOR = 1.51, 95%CI: 1.32-1.72) or parity > = 3 (aOR = 1.95, 95%CI: 1.50-2.55), prenatal examinations < 5 times (aOR = 1.13, 95%CI: 1.01-1.27), and number of cesarean sections was 1 (aOR = 1.83, 95%CI: 1.64-2.04) or > = 2 (aOR = 2.48, 95%CI: 1.99-3.09).

conclusionThe MNM ratio was relatively low in Hunan Province. Advanced maternal age, unmarried status, a high number of pregnancies, nulliparity or high parity, a low number of prenatal examinations, and cesarean sections were risk factors for MNM. Our study is essential for improving the quality of maternal health care and preventing MNM.

Indexed as

Near Miss, HealthcareAdultChinaFemaleHumansLogistic ModelsMaternal MortalityPregnancyPregnancy ComplicationsRisk FactorsYoung AdultAdvanced maternal ageCauseEpidemiologyMaternal near-missRisk factor

Identifiers

PMID38844895
PMCPMC11157777

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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.