Evidence map›Paper›PMID 37927539›Full record

ArticleHealth science reports2023

Predictors of the onset of neonatal sepsis at the Neonatal Intensive Care Unit of a tertiary hospital in Ghana: A cross-sectional study.

Kwame Opare-Asamoah, Samuel E Acquah, Ezekial Kofi Vicar, Lawrence Quaye, Abdul-Mumin Alhassan, Saeed F Majeed, Vida Nyagre Yakong, Samuel Yankson

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2023. 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
0.9field-weighted citation impact, top 24% 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, 3 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 1 institution in 1 country.

Kwame Opare-AsamoahDepartment of Biological Sciences, Faculty of Biosciences University for Development Studies Tamale Ghana.ORCID 0000-0002-6929-6263
Samuel E AcquahDepartment of Clinical Microbiology, School of Allied Health Sciences University for Development Studies Tamale Ghana.ORCID 0000-0002-3896-2665
Ezekial Kofi VicarDepartment of Clinical Microbiology, School of Medicine University for Development Studies Tamale Ghana.ORCID 0000-0002-1232-4921
Lawrence QuayeDepartment of Biomedical Laboratory Sciences, School of Allied Health Sciences University for Development Studies Tamale Ghana.ORCID 0000-0003-2791-9159
Abdul-Mumin AlhassanDepartment of Pediatrics and Child Health, School of Medicine University for Development Studies Tamale Ghana.ORCID 0000-0003-3792-5384
Saeed F MajeedDepartment of Biological Sciences, Faculty of Biosciences University for Development Studies Tamale Ghana.ORCID 0000-0002-5576-2534
Vida Nyagre YakongDepartment of Preventive Health Nursing, School of Nursing and Midwifery University for Development Studies Tamale Ghana.ORCID 0000-0001-8014-2989
Samuel YanksonDepartment of Physiology and Biophysics, School of Medicine University for Development Studies Tamale Ghana.ORCID 0000-0001-5910-200X
University for Development Studies · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Neonatal sepsis is a systemic inflammatory response to infection during the first 4 weeks of an infant's life. It is a significant cause of neonatal morbidity and mortality in low- and middle-income countries. This study aimed to determine the predictors of the onset of sepsis at the Neonatal Intensive Care Unit of the Tamale Teaching Hospital, Ghana. Methods: A cross-sectional study was conducted among 275 mothers and their singleton neonates diagnosed clinically with sepsis. A univariate and multivariate logistic regression analysis adjusted for maternal occupational status was performed to determine the maternal and neonatal predictors of early-onset (EOS) and late-onset sepsis (LOS), respectively. Results: Single motherhood (AOR = 1.882, 95% CI = 0.926-3.822, Conclusion: Maternal marital status is a significant predictor of both EOS and LOS, with predictors of EOS being lower gestational age and low birth weight, while for LOS, low birth weight is the main predictor. Findings from this study can serve as a commencement point for developing predictive models for the onset of sepsis in neonates in the study facility.

Indexed as

early‐onset sepsislate‐onset sepsisneonatesNICUpredictorsX teaching hospital

Identifiers

PMID37927539
PMCPMC10620847
OpenAlexW4388232081

What OpenQuestion holds

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Registered trials

None linked

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.