Evidence map›Paper›PMID 35650545›Full record

ArticleBMC pregnancy and childbirth2022

Labor induction in China: a nationwide survey.

Jing Zhu, Lili Xue, Huaxiang Shen, Lin Zhang, Danni Lu, Yanlin Wang, Yu Zhang, Jun Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

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  13. The Association between Cervical Length and Successful Labor Induction: A Retrospective Cohort Study.International journal of environmental research and public health · 2023
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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

8 authors at 5 institutions in 1 country.

Jing Zhu *The International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lili Xue *Department of Obstetrics, Jiaxing University Affiliated Women and Children Hospital, Jiaxing, China.
Huaxiang ShenDepartment of Obstetrics, Jiaxing University Affiliated Women and Children Hospital, Jiaxing, China.
Lin ZhangThe International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Danni LuMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Rd, Shanghai, 200092, China.
Yanlin WangThe International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yu ZhangDepartment of Obstetrics and Gynecology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Rd, Shanghai, 200127, China. rjzhangyu@163.com.
Jun ZhangMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Rd, Shanghai, 200092, China. junjimzhang@sina.com.
International Peace Maternity & Child Health Hospital · CNJiaxing University · CNRenji Hospital · CNShanghai Jiao Tong University · CNXinHua Hospital · CN

Funding

Shanghai Municipal Health Commission GWIV-26.2
6 · The paper itself

Abstract

backgroundOvermedicalization in labor management and delivery, including labor induction, is an increasing global concern. But detailed epidemiological data on labor induction in China remains unclear.

methodsThis was a cross-sectional study of data (2015-2016) from 96 hospitals in 24 (of 34) Chinese administrative divisions. Multivariable logistic regression analysis was used to assess the association between medical conditions and cesarean delivery among women undergoing induction. Linear regression analysis was performed to assess the association between the prelabor cesarean delivery and labor-induction rates in each hospital. The impacts of labor induction and prelabor cesarean delivery on maternal and neonatal outcomes were compared in low-risk women.

resultsAmong 73 901 eligible participants, 48.1% were nulliparous. The overall weighted rate of labor induction in China was 14.2% (95% CI, 11.1-17.2%), with 18.4% (95% CI, 14.5-22.3%) in nulliparas and 10.2% (95% CI, 7.7-12.8%) in multiparas. Regardless of the induction method, the overall vaginal delivery rate was 72.9% (95% CI, 68.6-77.3%) in nulliparas and 86.6% (95% CI, 79.7-93.5%) in multiparas. Hospitals with a higher rate of nonmedically indicated cesarean delivery had a lower labor-induction rate in nulliparas (β =  - 0.57%; 95% CI, - 0.92 to - 0.22%; P = 0.002). Compared with prelabor cesarean delivery, labor induction in low-risk women was not associated with adverse maternal and neonatal outcomes.

conclusionThe 2015-2016 labor-induction rate in China was 18.4% in nulliparas and 10.2% in multiparas. The proportion of prelabor cesarean delivery may contribute to regional differences in the labor-induction rate. Compared with prelabor cesarean delivery, labor induction in low-risk women may not increase severe maternal and neonatal morbidity.

Indexed as

Cesarean SectionLabor, InducedChinaCross-Sectional StudiesFemaleHumansInfant, NewbornPregnancyRetrospective StudiesEpidemiologyLabor inductionObstetrics

Identifiers

PMID35650545
PMCPMC9158355
OpenAlexW4281962984

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.