Evidence map›Paper›PMID 33875708›Full record

ArticleScientific reports2021

Probability of severe postpartum hemorrhage in repeat cesarean deliveries: a multicenter retrospective study in China.

Lili Du, Ling Feng, Shilei Bi, Lizi Zhang, Jingman Tang, Liuying Zhong, Xingnan Zhou, Hu Tan, Lijun Huang, Lin Lin and 16 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2021. 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
3.0field-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, 11 citations in OpenAlex.

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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

26 authors at 14 institutions in 1 country.

Lili Du *Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province,The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510150, Guangdong, China.
Ling Feng *Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shilei Bi *Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province,The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510150, Guangdong, China.
Lizi ZhangDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jingman TangDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province,The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510150, Guangdong, China.
Liuying ZhongDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province,The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510150, Guangdong, China.
Xingnan ZhouDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province,The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510150, Guangdong, China.
Hu TanDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province,The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510150, Guangdong, China.
Lijun HuangDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province,The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510150, Guangdong, China.
Lin LinDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province,The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510150, Guangdong, China.
Shanshan ZengDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province,The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510150, Guangdong, China.
Luwen RenDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province,The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510150, Guangdong, China.
Yinli CaoDepartment of Obstetrics and Gynecology, Northwest Women's and Children's Hospital, Xi'an, China.
Jinping JiaDepartment of Obstetrics and Gynecology, Guangzhou Huadu District Maternal and Child Health Hospital, Guangzhou, China.
Xianlan ZhaoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shaoshuai WangDepartment of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaoyan XuDepartment of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yangyu ZhaoDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Zhijian WangDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qiying ZhuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China.
Hongbo QiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lanzhen ZhangDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Suiwen WenDepartment of Obstetrics and Gynecology, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Guangzhou, China.
Hongtian LiInstitute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health, Peking University Health Science Center, Beijing, China.
Jingsi ChenDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province,The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510150, Guangdong, China. ceasaw_chen@hotmail.com.
Dunjin ChenDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province,The Third Affiliated Hospital of Guangzhou Medical University, 63 Duobao Road, Guangzhou, 510150, Guangdong, China. gzdrchen@gzhmu.edu.cn.
Guangzhou Medical University · CNGuangdong University of Education · CNThird Affiliated Hospital of Guangzhou Medical University · CNHuazhong University of Science and Technology · CNTongji Hospital · CNFirst Affiliated Hospital of Chongqing Medical University · CNFirst Affiliated Hospital of Zhengzhou University · CNGuangdong Province Women and Children Hospital · CNNational Health and Family Planning Commission · CNNorthwest Women's and Children's Hospital · CNPeking University · CNSecond Affiliated Hospital of Guangzhou Medical University · CNSouthern Medical University · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine the factors predicting the probability of severe postpartum hemorrhage (SPPH) in women undergoing repeat cesarean delivery (RCD). This multicenter, retrospective cohort study involved women who underwent RCD from January 2017 to December 2017, in 11 public tertiary hospitals within 7 provinces of China. The all-variables model and the multivariable logistic regression model (pre-operative, operative and simple model) were developed to estimate the probability of SPPH in development data and external validated in validation data. Discrimination and calibration were evaluated and clinical impact was determined by decision curve analysis. The study consisted of 11,074 women undergoing RCD. 278 (2.5%) women experienced SPPH. The pre-operative simple model including 9 pre-operative features, the operative simple model including 4 pre-operative and 2 intraoperative features and simple model including only 4 closely related pre-operative features showed AUC 0.888, 0.864 and 0.858 in development data and 0.921, 0.928 and 0.925 in validation data, respectively. Nomograms were developed based on predictive models for SPPH. Predictive tools based on clinical characteristics can be used to estimate the probability of SPPH in patients undergoing RCD and help to allow better preparation and management of these patients by using a multidisciplinary approach of cesarean delivery for obstetrician.

Indexed as

Cesarean SectionPostpartum HemorrhageAdultChinaFemaleHumansModels, StatisticalNomogramsPostpartum PeriodPregnancyPrevalenceRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID33875708
PMCPMC8055978
OpenAlexW3156833586

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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 OpenQuestion graph.