Evidence map›Paper›PMID 38090611›Full record

ArticleMicrobiology insights2023

Bacteriological Profile and Antibiotic Susceptibility Patterns of Sepsis-Causing Bacteria at the Neonatal Intensive Care Unit of a Tertiary Health Care Facility in Ghana.

Kwame Opare-Asamoah, Ezekiel Kofi Vicar, Samuel Ekuban Acquah, Lawrence Quaye, Abdul-Mumin Alhassan, Saeed F Majeed, Abigail Asantewaa Sakyi, Endorah Fotwe Blankson, Kwasi Boadu Mensah

Open access · goldAbstract read
In one paragraph

Article in Microbiology insights, 2023. 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
1.4field-weighted citation impact, top 17% 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, 5 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

9 authors at 2 institutions in 1 country.

Kwame Opare-AsamoahDepartment of Biological Sciences, Faculty of Biosciences, University for Development Studies, Tamale, Ghana.
Ezekiel Kofi VicarDepartment of Clinical Microbiology, School of Medicine, University for Development Studies, Tamale, Ghana.
Samuel Ekuban AcquahDepartment of Biomedical Laboratory Sciences, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana.
Lawrence QuayeDepartment of Biomedical Laboratory Sciences, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana.
Abdul-Mumin AlhassanDepartment of Paediatrics and Child Health, School of Medicine, University for Development Studies, Tamale, Ghana.
Saeed F MajeedDepartment of Biological Sciences, Faculty of Biosciences, University for Development Studies, Tamale, Ghana.
Abigail Asantewaa SakyiDepartment of Biomedical Laboratory Sciences, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana.
Endorah Fotwe BlanksonDepartment of Biomedical Laboratory Sciences, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana.
Kwasi Boadu MensahDepartment of Pharmacology, School of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
University for Development Studies · GHKwame Nkrumah University of Science and Technology · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal sepsis is a clinical emergency that requires sound evaluation supported by accurate laboratory analysis and timely clinical intervention for its management. This study, therefore, was conducted to identify bacteria causing neonatal sepsis and their susceptibility to the commonly prescribed antibiotic at the Neonatal Intensive Care Unit of a tertiary health care facility in the Northern Region of Ghana. Methods: Neonatal biodata were collected from patient folders, after which identification, isolation, and susceptibility of isolated bacteria to prescribed anti-bacterial (Kirby-Bauer disk diffusion method) were carried out on single venipuncture blood samples aseptically drawn from 275 neonates clinically diagnosed with sepsis. Results: 275 neonates took part in the study, of which 218 (79.3%) presented with early-onset sepsis (EOS) and 57 (20.7%) with late-onset sepsis (LOS). The laboratory results confirmed a septicemia prevalence of 70.3% among neonates clinically diagnosed with sepsis. Preterm delivery ( Conclusions:

Indexed as

Antibiotic susceptibilitybacteriological profileNeonatal Intensive Care UnitneonatessepsisTamale

Identifiers

PMID38090611
PMCPMC10714880
OpenAlexW4389631595

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.