Evidence map›Paper›PMID 33012289›Full record

ArticleBMC pregnancy and childbirth2020

Association between surgical technique, adhesions and morbidity in women with repeat caesarean section: a retrospective study in a rural hospital in Western Tanzania.

R Mooij, I H Mwampagatwa, J van Dillen, J Stekelenburg

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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

4 authors at 4 institutions in 3 countries.

R MooijNdala Hospital, 15, Ndala, Tanzania. r.mooij1983@gmail.com.ORCID http://orcid.org/0000-0002-3637-8318
I H MwampagatwaCollege of Health Sciences, University of Dodoma, 395, Dodoma, Tanzania.
J van DillenRadboud University Medical Centre, Geert Grooteplein-Zuid 10, 6525 GA, Nijmegen, The Netherlands.
J StekelenburgLeeuwarden Medical Centre, Henri Dunantweg 2, 8934 AD, Leeuwarden, The Netherlands.
Aga Khan Hospital Dar es Salaam · TZRadboud University Nijmegen · NLThe University of Dodoma · TZUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe worldwide incidence of birth by Caesarean Section (CS) is rising. Many births after a previous CS are by repeat surgery, either by an elective CS or after a failed trial of labour. Adhesion formation is associated with increased maternal morbidity in patients with repeat CSs. In spite of large-scale studies the relation between the incidence of adhesion formation and CS surgical technique is unclear. This study aims to assess maternal and neonatal morbidity and mortality after repeat CSs in a rural hospital in a low-income country (LIC) and to analyse the effect of surgical technique on the formation of adhesions.

methodsA cross-sectional, retrospective medical records study of all women undergoing CS in Ndala Hospital in 2011 and 2012.

resultsOf the 3966 births, 450 were by CS (11.3%), of which 321 were 1

conclusionsOur results give insight into the practice of repeat CS in our rural hospital. Adhesions after CSs are common and occur more frequently after midline skin incision at 1

Indexed as

AdultCesarean Section, RepeatCross-Sectional StudiesFemaleHospitals, RuralHumansPregnancyRetrospective StudiesTanzaniaTissue AdhesionsTrial of LaborYoung AdultCaesarean sectionOutcomeTissue adhesionsTrial of labour

Identifiers

PMID33012289
PMCPMC7534160
OpenAlexW3091085802

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.