Evidence map›Paper›PMID 28345422›Full record

ArticleThe Journal of international medical research2017

Predictors of preference for caesarean delivery among pregnant women in Beijing.

Hongwei Zhang, Jing Wu, Jessie Norris, Li Guo, Yifei Hu

Abstract read
In one paragraph

Article in The Journal of international medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Hongwei Zhang1 Department of Obstetrics, Beijing Obstetrics and Gynaecology Hospital, Capital Medical University, Beijing, China.
Jing Wu2 School of Agroforestry & Medicine, Open University of China, Beijing, China.
Jessie Norris3 National Centre for AIDS/STD Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing, China.
Li Guo1 Department of Obstetrics, Beijing Obstetrics and Gynaecology Hospital, Capital Medical University, Beijing, China.
Yifei Hu4 Department of Child, Adolescent Health and Maternal Health, School of Public Health, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To evaluate factors associated with preference for caesarean or vaginal delivery among pregnant Chinese nulliparous and parous women. Methods In this cross-sectional study, a self-administered questionnaire was used to collect information on sociodemographic characteristics, preference/reasons for delivery mode, and knowledge of delivery complications. Results Of the 450 participants, 85 (18.9%) reported a preference for caesarean section (CS) pre-partum. Compared with women who would prefer a vaginal delivery, nulliparous women who preferred CS were more likely to be: ≥35 years; have no medical insurance; have had two or more pregnancies; have access to only one source of information about birthing options; knowledge of the complications of vaginal delivery and think doctors have no right to decide the type of delivery. For parous women who preferred CS, they were more likely to have had a previous caesarean delivery and live outside Beijing. Conclusions From this study conducted at a large, maternity centre in Beijing, the proportion of pregnant women with preference pre-partum for CS was moderate and their reasons were varied.

Indexed as

Choice BehaviorHealth Knowledge, Attitudes, PracticeAdultBeijingCesarean SectionCross-Sectional StudiesFemaleHumansParityParturitionPregnancySurveys and QuestionnairesCaesarean sectionChinapregnancypre-partumvaginal deliverywomen

Identifiers

PMID28345422
PMCPMC5536660

What OpenQuestion holds

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LicenceCC BY-NC
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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.