Evidence map›Paper›PMID 39245736›Full record

ArticleBMC pregnancy and childbirth2024

High-risk factors for massive haemorrhage in medical abortion patients with missed miscarriage.

Yuru Tan, Sen Li, Hong Xu, Shuying Wang

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuru Tan *Department of Family Planning, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, No. 910 Hengshan Road, Xuhui District, Shanghai, China.
Sen Li *Department of Family Planning, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, No. 910 Hengshan Road, Xuhui District, Shanghai, China.
Hong Xu *Department of Gynaecology and Obstetrics, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, No. 910 Hengshan Road, Xuhui District, Shanghai, China. xuhong1558@sjtu.edu.cn.
Shuying Wang *Department of Family Planning, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, No. 910 Hengshan Road, Xuhui District, Shanghai, China. xiaoshu0811@163.com.

Funding

Shanghai Municipal Key Clinical Specialty shslczdzk01802the Interdisciplinary Key Programme of Shanghai Jiao Tong University YG2021ZD30
6 · The paper itself

Abstract

backgroundRecently, the incidence of missed miscarriage has gradually increased, and medical abortion is a common method to terminate a pregnancy. In the process of medical abortion, massive vaginal bleeding takes place, leading to emergency surgical haemostasis. Emergency surgery may produce infection and organ damage. Our study aimed to investigate the high-risk factors for massive haemorrhage during a medical abortion.

methodsA total of 1062 missed miscarriage patients who underwent medical abortion participated in this retrospective study. According to the amount of bleeding, the patients were divided into a massive haemorrhage group and a control group. By comparing the general conditions of the two groups, such as fertility history, uterine surgery history, uterine fibroids, etc., the high-risk factors for massive haemorrhage during medical abortion were identified.

resultsRelative to the control group, the massive haemorrhage group exhibited a higher proportion of patients with a previous artificial abortion (51.9% vs. 38.1%, P = 0.001). Additionally, the massive haemorrhage group had a lower percentage of first-time pregnant women (32.1% vs. 40.4%) and a higher proportion of women with shorter pregnancy intervals (44.9% vs. 33.1%, P = 0.03). Furthermore, there were notable differences between the two groups regarding maximum fibroid size, the duration of amenorrhea, and gestational week (P < 0.05).

conclusionIn this study, we determined that a history of artificial abortion and an amenorrhea duration of > 11 weeks represented high-risk factors for massive vaginal bleeding during medical abortion in missed miscarriage patients.

Indexed as

Abortion, InducedAbortion, MissedUterine HemorrhageAdultCase-Control StudiesFemaleHumansLeiomyomaPregnancyRetrospective StudiesRisk FactorsEmergency surgeryMassive haemorrhageMedical abortionMissed miscarriage

Identifiers

PMID39245736
PMCPMC11382378

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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.