Evidence map›Paper›PMID 33178290›Full record

ArticleInternational journal of pediatrics2020

Predictors of Neonatal Sepsis in Hospitals at Wolaita Sodo Town, Southern Ethiopia: Institution-Based Unmatched Case-Control Study, 2019.

Atkuregn Alemayehu, Mihiretu Alemayehu, Aseb Arba, Hanna Abebe, Abraham Goa, Kebreab Paulos, Mohammed Suleiman Obsa

Open access · goldAbstract read
In one paragraph

Article in International journal of pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  11. Prevalence and presentation of neonatal sepsis at a paediatric emergency department in Johannesburg, South Africa.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2022
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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

7 authors at 1 institution in 1 country.

Atkuregn AlemayehuWolaita Sodo University, College of Medicine and Health Sciences, Institutional Quality Assurance, Ethiopia.
Mihiretu AlemayehuWolaita Sodo University, College of Medicine and Health Sciences, School of Public Health, Ethiopia.
Aseb ArbaWolaita Sodo University, College of Medicine and Health Sciences, School of Nursing, Ethiopia.ORCID https://orcid.org/0000-0002-7026-6731
Hanna AbebeWolaita Sodo University, College of Medicine and Health Sciences, Institutional Quality Assurance, Ethiopia.
Abraham GoaWolaita Sodo University, College of Medicine and Health Sciences, Institutional Quality Assurance, Ethiopia.
Kebreab PaulosWolaita Sodo University, College of Medicine and Health Sciences, School of Midwifery, Ethiopia.
Mohammed Suleiman ObsaWolaita Sodo University, College of Medicine and Health Sciences, School of Anesthesia, Ethiopia.
Wolaita Sodo University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeonatal sepsis plays a significant role in neonates' mortality in developing countries accounting for 30-50% of total deaths each year. Gaining insight into neonatal sepsis predictors will provide an opportunity for the stakeholders to reduce the causes of neonatal sepsis. This research is aimed at determining the predictors of neonatal sepsis at Wolaita Sodo University Teaching Referral Hospital and Sodo Christian General Hospital, Ethiopia, April-July 2019.

methodThis study employed an institution-based unmatched case-control study by selecting neonates in selected hospitals through consecutive sampling technique. The cases of this study are neonates diagnosed with sepsis. The study used a pretested structured questionnaire for a face-to-face interview to collect data from index mothers. Besides, the review of the record was done using checklists. The data were entered into EpiData version 3.1 and exported to Statistical Package for the Social Sciences version 24.0 for analysis. The study used descriptive, bivariate, and multivariate analyses. The odds ratio with 95% confidence interval was used to measure the association's strength.

resultsFactors significantly associated with neonatal sepsis among neonates were maternal age of 15-20 years and 21-30 years, mothers with low income/wealth, history of urinary tract infections/sexually transmitted infections, presence of intrapartum infections, antenatal care follow-up < 3 visits, Apgar (Appearance, Pulse, Grimace, Activity, and Respiration) score < 7, low birth weight, and the time in which breastfeeding started after delivery < 60 minutes.

conclusionMaternal age, wealth/income, maternal urinary tract infections/sexually transmitted infections, intrapartum fever, antenatal care visit ≤ 3 times, Apgar score < 7, low birth weight, and starting time of breastfeeding were independent predictors of neonatal sepsis. Therefore, maternal health education during antenatal care visits, perinatal and newborn care, and early initiation of breastfeeding might decrease neonatal mortality and morbidity due to sepsis.

Identifiers

PMID33178290
PMCPMC7647789
OpenAlexW3095085742

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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.