Evidence map›Paper›PMID 34934345›Full record

ArticleInternational journal of general medicine2021

Effects of Modes and Timings of Delivery on Feto-Maternal Outcomes in Women with Severe Preeclampsia: A Multi-Center Survey in Mainland China.

Shao-Wen Wu, Wei-Yuan Zhang

Open access · goldAbstract read
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Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

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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

3 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

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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

2 authors at 2 institutions in 1 country.

Shao-Wen WuDepartment of Perinatal Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, People's Republic of China.
Wei-Yuan ZhangDepartment of Perinatal Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, People's Republic of China.
Beijing Obstetrics and Gynecology Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnancy termination is the only effective treatment for preeclampsia. However, there are controversies on the selection of modes of delivery. The objective was to evaluate whether mode of delivery in labor differentially affected the rate of adverse maternal outcomes related to severe preeclampsia.

objectiveThis study aimed to evaluate whether the modes and timings of delivery affects adverse maternal outcomes in pre-eclampsia.

methodsClinical data from 2516 singleton pregnant women with severe preeclampsia were collected in a multicenter, large-sample, cross-sectional study in mainland China. The patients were divided into cesarean-delivery (CD) and vaginal-delivery (VD) categories and then into Group 1 (≤27

resultsA total of 2516 singleton pregnant women with severe preeclampsia were collected and the overall cesarean section rate was 84.9%. The vaginal delivery rates among the four groups were significantly different with 70%, 19.7%, 6.6%, 15.1% in groups 1, 2, 3, 4, respectively (P<0.05), while perinatal mortality was lower in the CD groups than VD groups (3.3% vs 50.4%, P<0.05). The neonatal asphyxia rate was significantly higher with CD than with VD in Group 2 (36.4% vs 12.9%, P<0.05). The perinatal mortality with CD, 3, and 4 was significantly lower than with VD (10.0% vs 68.5% in Groups 2, 2.3% vs 28.3% in Groups 3, 0.8% vs 5.6% in Groups 4, all P<0.05).

conclusionMost pregnant women with severe preeclampsia opted for a cesarean section in China. The lower perinatal mortality was associated with cesarean section, but the rate of maternal PPH or mortality was not related with the mode of delivery. So cesarean section is the safer delivery mode for the pregnant women complicated with severe preeclampsia.

Indexed as

cesarean sectioncomplicationsmode of deliverysevere preeclampsiavaginal delivery

Identifiers

PMID34934345
PMCPMC8684395
OpenAlexW4200326742

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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.