Evidence map›Paper›PMID 38660367›Full record

ArticleJAC-antimicrobial resistance2024

Antimicrobial susceptibility testing data analysis over 3 years at the Yaoundé General Hospital, Cameroon.

Marie Paule Ngogang, Abel Fils Nkoth, Welysiane Ngaleu, Heroine Mfouapon, Priscille Ekoume, Yannick Nibeye, Christiane Medi Sike, Esther Voundi Voundi, Mohammed Moctar Mouliom Mouiche, Marie Christine Fonkoua and 2 more

Open access · goldAbstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

12 authors at 2 institutions in 1 country.

Marie Paule NgogangFaculty of Medicine and Biomedical Sciences, Yaoundé I University, Yaounde, Cameroon.ORCID https://orcid.org/0000-0001-9996-8035
Abel Fils NkothYaoundé General Hospital, Yaounde, Cameroon.
Welysiane NgaleuYaoundé General Hospital, Yaounde, Cameroon.
Heroine MfouaponYaoundé General Hospital, Yaounde, Cameroon.
Priscille EkoumeYaoundé General Hospital, Yaounde, Cameroon.
Yannick NibeyeFaculty of Medicine and Biomedical Sciences, Yaoundé I University, Yaounde, Cameroon.
Christiane Medi SikeFaculty of Medicine and Biomedical Sciences, Yaoundé I University, Yaounde, Cameroon.
Esther Voundi VoundiFaculty of Medicine and Biomedical Sciences, Yaoundé I University, Yaounde, Cameroon.
Mohammed Moctar Mouliom MouicheInfectious Diseases Detection and Surveillance, USAID, Yaounde, Cameroon.
Marie Christine FonkouaInfectious Diseases Detection and Surveillance, USAID, Yaounde, Cameroon.
Michel ToukamFaculty of Medicine and Biomedical Sciences, Yaoundé I University, Yaounde, Cameroon.
Francois-Xavier Mbopi-KeouFaculty of Medicine and Biomedical Sciences, Yaoundé I University, Yaounde, Cameroon.
Université de Yaoundé I · CMYaoundé General Hospital · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antimicrobial resistance (AMR) is a major health concern with high rates in low-income countries. Bacteriology laboratories sustain the fight against AMR by providing antibiotic susceptibility testing (AST) results to ensure appropriate therapies. These laboratories generate a lot of data, which are usually used for prospective interventions. Our study conducted in a lower-middle-income hospital setting aimed to describe the profile of bacteria isolated from the specimens received over 3 years, assess their susceptibility profile and identify potential gaps or area of improvement from the analysis of our data. Methods: Monthly data were retrieved from registers for all specimens received between January 2020 until December 2022. Data were compiled and analysed using the R and WHONET software. Results: Out of 3582 specimens received, 797 were culture positive (22.3%). Conclusions: AST results may not only be used for prospective guidance for treatment, but rather cumulative data analysis can contribute to design effective antibiotic prescriptions and improve general practices at the laboratory. This is, however, dependent on a good record-keeping, standardization of practices and collaboration between clinicians and laboratory scientists.

Identifiers

PMID38660367
PMCPMC11040207
OpenAlexW4395064484

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.