Evidence map›Paper›PMID 33598082›Full record

ArticleThe Pan African medical journal2020

What caused neonatal deaths in Senegal in 2017? a secondary analysis of 2017 DHS.

Ndèye Marème Sougou, Jean Baptiste Diouf

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Ndèye Marème SougouDepartment of Preventive Medicine and Public Health, University Cheikh Anta Diop, Dakar, Senegal.
Jean Baptiste DioufHospital Roi Baudoin, Ministry of Health, Dakar, Senegal.
Cheikh Anta Diop University · SN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionin Senegal, the fight for newborn and child survival is a public health priority. The aim of this study is to analyze the factors associated with neonatal deaths in Senegal in 2017.

methodsthis article used data from the Senegal Demographic and Health Survey 2017. It covered 6073 children under the age of 5. The sample from the 2017 Continuous DHS is nationally representative. A bivariate analysis was conducted. The multivariate analysis was performed using STATA 15 software. Adjusted odds ratios had been calculated for variables with significant p values. The dependent variable was neonatal death.

resultsa total of 6,073 children had been investigated. The neonatal death rate is 2.12%. Neonatal deaths account for 50.97% of all infant and child deaths. Newborns with a low birth weight < 2500 g are 2.3 times more likely to die with an ORaj of 2.3 [1.01-5.28]. Newborns who are considered "very small" by their mother at birth are 2.5 times more likely to die in the neonatal period ORaj=2.5 [1.04-6.04]. The last risk factor identified is birth by caesarean section (ORaj=3.97 [1.68-9.39]).

conclusionthis study concludes that low birth weight is an important risk factor for neonatal deaths in Senegal. These results suggest better management of antenatal care. However, this study showed that there was a deficit in the provision of perinatal services in Senegal. A qualitative analysis of caesarean section in the context of universal coverage could be a perspective for further reflection on improving newborn survival in Senegal.

Indexed as

AdolescentAdultCesarean SectionCross-Sectional StudiesFemaleHumansInfant, NewbornMaleMiddle AgedPerinatal DeathPregnancyPrenatal CareRisk FactorsSenegalYoung Adultassociated factorsNeonatal deathSenegal

Identifiers

PMID33598082
PMCPMC7864271
OpenAlexW3108433152

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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.