Evidence map›Paper›PMID 37996780›Full record

SynthesisBMC pregnancy and childbirth2023

Incidence, temporal trends and risk factors of puerperal infection in Mainland China: a meta-analysis of epidemiological studies from recent decade (2010-2020).

Peng Li, Yan Li, Youjian Zhang, Lina Zhao, Xiaohong Li, Junzhe Bao, Jianing Guo, Jun Yan, Ke Zhou, Mingjie Sun

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. 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

10 authors at 3 institutions in 1 country.

Peng LiDepartment of Hospital Infection Control, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Yan LiDepartment of Hospital Infection Control, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Youjian ZhangDepartment of Hospital Infection Control, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Lina ZhaoDepartment of Obstetrics, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Xiaohong LiDepartment of Obstetrics, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Junzhe BaoCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Jianing GuoDepartment of Hospital Infection Control, Henan Province Women and Children's Hospital, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jun YanDepartment of Obstetrics, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Ke ZhouDepartment of Obstetrics, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Mingjie SunDepartment of Hospital Infection Control, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China. lpsxjlp@whu.edu.cn.
Zhengzhou University · CNHenan Provincial People's Hospital · CNThird Affiliated Hospital of Zhengzhou University · CN

Funding

the Health Commission of Henan Province, China LHGJ 20190621the Health Commission of Henan Province, China SBGJ202103021
6 · The paper itself

Abstract

backgroundPuerperal infection (PI) is a severe threat to maternal health. The incidence and risk of PI should be accurately quantified and conveyed for prior decision-making. This study aims to assess the quality of the published literature on the epidemiology of PI, and synthesize them to identify the temporal trends and risk factors of PI occurring in Mainland China.

methodsThis review was registered in PROSPERO (CRD42021267399). Putting a time frame on 2010 to March 2022, we searched Cochrane library, Embase, Google Scholar, MEDLINE, Web of Science, China biology medicine, China national knowledge infrastructure and Chinese medical current contents, and performed a meta-analysis and meta-regression to pool the incidence of PI and the effects of risk factors on PI.

resultsA total of 49 eligible studies with 133,938 participants from 17 provinces were included. The pooled incidence of PI was 4.95% (95%CIs, 4.46-5.43), and there was a statistical association between the incidence of PI following caesarean section and the median year of data collection. Gestational hypertension (OR = 2.14), Gestational diabetes mellitus (OR = 1.82), primipara (OR = 0.81), genital tract inflammation (OR = 2.51), anemia during pregnancy (OR = 2.28), caesarean section (OR = 2.03), episiotomy (OR = 2.64), premature rupture of membrane (OR = 2.54), prolonged labor (OR = 1.32), placenta remnant (OR = 2.59) and postpartum hemorrhage (OR = 2.43) have significant association with PI.

conclusionsMaternal infection remains a crucial complication during puerperium in Mainland China, which showed a nationwide temporal rising following caesarean section in the past decade. The opportunity to prevent unnecessary PI exists in several simple but necessary measures and it's urgent for clinicians and policymakers to focus joint efforts on promoting the bundle of evidence-based practices.

Indexed as

Cesarean SectionPuerperal InfectionChinaEpidemiologic StudiesFemaleHumansIncidencePregnancyRisk FactorsIncidenceMeta-analysisMeta-regressionPuerperal infectionRisk factors

Identifiers

PMID37996780
PMCPMC10666378
OpenAlexW4388945873

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.