Evidence map›Paper›PMID 39355717›Full record

ArticleThe Pan African medical journal2024

Burst abdomen: a preventable risk of severe maternal morbidity in a developing country (a case-control study at a university teaching hospital in Tanzania).

Andrew Hans Mgaya, Salim Alli Maumba, Bosco Pius Mapunda, Sophia Isaac Kiwango, Raymond Thomas Kiponza, Nathanael Luther Mtinangi

Abstract read
In one paragraph

Article in The Pan African medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Andrew Hans MgayaDepartment of Obstetrics and Gynaecology, Muhimbili National Hospital, PO Box 65000, Dar es Salaam, Tanzania.
Salim Alli MaumbaDepartment of Obstetrics and Gynaecology, Muhimbili National Hospital, PO Box 65000, Dar es Salaam, Tanzania.
Bosco Pius MapundaDepartment of Obstetrics and Gynaecology, Muhimbili National Hospital, PO Box 65000, Dar es Salaam, Tanzania.
Sophia Isaac KiwangoDepartment of Obstetrics and Gynaecology, Muhimbili National Hospital, PO Box 65000, Dar es Salaam, Tanzania.
Raymond Thomas KiponzaDepartment of Obstetrics and Gynaecology, Muhimbili National Hospital, PO Box 65000, Dar es Salaam, Tanzania.
Nathanael Luther MtinangiDepartment of Obstetrics and Gynaecology, Muhimbili National Hospital, PO Box 65000, Dar es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: burst abdomen is a preventable complication of caesarean section that carries an increased risk of maternal death, especially in developing countries including Tanzania. The study aimed to identify the risk factors and high-risk patients for burst abdomen at Muhimbili National Hospital in Tanzania. Methods: a case-control study was performed at Muhimbili National Hospital in Dar es Salaam from 2 Results: a total of 524 women that met the inclusion criteria, comprising 131 cases and 393 controls, delivered by caesarean section in the most recent pregnancy at Muhimbili National Hospital. Cases were independently associated with perioperative illness, including cough (OR 3.8, 95%CI 1.9-7.6), chorioamnionitis (OR 4.5, 95% CI 1.3-14.7), and surgical site infection (OR 3.2, 95% CI 1.7-6.4), and a vertical midline incision wound (OR 1.9, 95% CI 1.2-3.1) compared to control group. Most cases (70%) had intact sutures and loose surgical knots. Conclusion: burst abdomen remains a cause of unnecessary severe maternal morbidity and is independently associated with perioperative illnesses such as cough, chorioamnionitis surgical site infection, and a vertical midline abdominal incision. Thus, there is a need for modifying abdominal fascia closure techniques for patients at risk.

Indexed as

Cesarean SectionAdultCase-Control StudiesDeveloping CountriesFemaleHospitals, TeachingHospitals, UniversityHumansPostoperative ComplicationsPregnancyRisk FactorsSurgical Wound InfectionTanzaniaYoung Adultabdominal fascia closureBurst abdomencaesarean sectionsurgical site infectionwound dehiscence

Identifiers

PMID39355717
PMCPMC11444087

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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.