Evidence map›Paper›PMID 31007816›Full record

ArticleThe Pan African medical journal2018

[External anthropometric measurement and pelvimetry among nulliparous women in Lubumbashi: risk factors and predictive score of mechanical dystocia].

Fanny Kaj Malonga, Olivier Mukuku, Micrette Tshanda Ngalula, Prosper Kakudji Luhete, Jean-Baptiste Kakoma

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2018. 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
1.8field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 9 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

5 authors at 1 institution in 1 country.

Fanny Kaj MalongaDépartement de Gynécologie-Obstétrique, Faculté de Médecine, Université de Lubumbashi, Lubumbashi, République Démocratique du Congo.
Olivier MukukuInstitut Supérieur des Techniques Médicales de Lubumbashi, Lubumbashi, République Démocratique du Congo.
Micrette Tshanda NgalulaDépartement de Gynécologie-Obstétrique, Faculté de Médecine, Université de Lubumbashi, Lubumbashi, République Démocratique du Congo.
Prosper Kakudji LuheteDépartement de Gynécologie-Obstétrique, Faculté de Médecine, Université de Lubumbashi, Lubumbashi, République Démocratique du Congo.
Jean-Baptiste KakomaDépartement de Gynécologie-Obstétrique, Faculté de Médecine, Université de Lubumbashi, Lubumbashi, République Démocratique du Congo.
University of Lubumbashi · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMaternal and perinatal morbi-mortality is higher in most of sub-Saharan Africa compared to the rest of the world. All women at risk for mechanical dystocia should be screened before labor and referred to a better equipped Hospital for childbirth. This would reduce morbi-mortality. This study aims to develop a predictive score of mechanical dystocia during childbirth among nulliparous Congolese women.

methodsWe conducted a cross-sectional study of nulliparous women with single pregnancy in 7 Maternity Units in the city of Lubumbashi (DRC). Women' size, weight, and external pelvimetry results were collected and analyzed. Univariate and multivariate analyses were performed. Discrimination score was assessed using the ROC curve.

resultsWe included in the study 535 nulliparous women, of whom 126 (23.55%) had given birth by cesarean section due to mechanical dystocia. After logistic modelling, three criteria emerged as predictive factors for mechanical dystocia: maternal height <150 cm (adjusted OR=2.96 [1,49-5,87]), bi-ischiatic diameter <8 cm (adjusted OR =15.96 [3,46-73,56]), and Trillat's pre-pubic diameter <11 cm (adjusted OR =2.34 [1,36-4,01]). The area under the ROC curve of the score was 0.6549 with a sensitivity of 23.81%, a specificity of 97.80% and a positive predictive value of 76.92%.

conclusionIt has been observed that 10th percentile of the three maternal anthropometric measures was predictive of mechanical dystocia. When they were used together, these three values allowed for the development of lowest-cost screening score for use in low income settings.

Indexed as

AdolescentAdultAnthropometryCesarean SectionCross-Sectional StudiesDelivery, ObstetricDemocratic Republic of the CongoDystociaFemaleHumansInfant, NewbornLogistic ModelsMaternal MortalityParityPelvimetryPerinatal MortalityanthropometryChildbirthmechanical dystociapelvimetrypredictive score

Identifiers

PMID31007816
PMCPMC6457727
OpenAlexW2894676074

What OpenQuestion holds

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LicenceCC BY
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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.