Evidence mapPaperPMID 39695516Full record

ArticleBMC public health2024

Pregnancy complications associated with maternal near-miss in an undeveloped province in south-central China, 2012-2022.

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

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Xu ZhouHunan 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.
Aihua WangHunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China.
Junqun FangHunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, China.

Funding

National Key Clinical Specialty Scientific Research Project Z2023106
6 · The paper itself

Abstract

objectiveTo explore the relationship between pregnancy complications and maternal near-miss (MNM).

methodsData were obtained from the Maternal Near-Miss Surveillance System in Hunan Province, China, 2012-2022. The MNM ratio refers to the number of MNM per 1000 live births, and maternal mortality refers to the number of maternal deaths per 100,000 live births. Chi-square trend tests (χ

resultsOur study included 780,359 women with 731,185 live births, a total of 2461 MNMs, and 52 maternal deaths were identified. The MNM ratio was 3.37‰ (95%CI: 3.23-3.50), and the maternal mortality was 7.11 per 100,000 live births (95%CI: 5.18-9.04). Coagulation/hematological dysfunction was the most common cause of MNM (75.66%). From 2012 to 2022, the proportion of coagulation/hematological dysfunction among MNM increased from 49.14% in 2012 to 86.39% in 2022, which was the only cause of MNM that showed an increased trend (χ

conclusionThe MNM ratio was relatively low in Hunan Province. Several pregnancy complications increased the risk of MNM. It is helpful for clinical counseling and public health policies, which may contribute to preventing MNM.

Indexed as

Maternal MortalityNear Miss, HealthcarePregnancy ComplicationsAdultChinaFemaleHumansPregnancyRisk FactorsYoung AdultCauseMaternal deathMaternal near-missMultivariate analysisPregnancy complicationRisk factor

Identifiers

PMID39695516
PMCPMC11657648

What Socratic 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 Socratic graph.