Evidence map›Paper›PMID 36994232›Full record

ArticleJAC-antimicrobial resistance2023

Development of a local antibiogram for a teaching hospital in Ghana.

Cornelius C Dodoo, Hayford Odoi, Adelaide Mensah, Karikari Asafo-Adjei, Ruth Ampomah, Lydia Obeng, Jonathan Jato, Araba Hutton-Nyameaye, Thelma A Aku, Samuel O Somuah and 7 more

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Article in JAC-antimicrobial resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
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  5. Article
  6. Antimicrobial resistance profiles ofJAC-antimicrobial resistance · 2024
    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

17 authors.

Cornelius C DodooSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.ORCID https://orcid.org/0000-0003-4369-8245
Hayford OdoiSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.
Adelaide MensahSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.
Karikari Asafo-AdjeiLaboratory Department, Ho Teaching Hospital, Ho, Ghana.
Ruth AmpomahSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.
Lydia ObengSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.
Jonathan JatoSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.
Araba Hutton-NyameayeSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.
Thelma A AkuSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.
Samuel O SomuahSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.
Emmanuel SarkodiePharmacy Department, Kwame Nkrumah University of Science and Technology Teaching Hospital, Kumasi, Ghana.
Emmanuel OrmanSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.
Kwadwo A MfoafoSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.
Inemesit O BenSchool of Pharmacy, University of Health and Allied Sciences, Ho, Ghana.
Eneyi E KpokiriDepartment of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-1180-1439
Fatima AbbaHealth Protection Operations Division, UK Health Security Agency, London, UK.
Yogini H JaniCentre for Medicines Optimisation Research and Education, University College London Hospitals NHS Trust & UCL School of Pharmacy, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antimicrobial resistance threatens adequate healthcare provision against infectious diseases. Antibiograms, combined with patient clinical history, enable clinicians and pharmacists to select the best empirical treatments prior to culture results. Objectives: To develop a local antibiogram for the Ho Teaching Hospital. Methods: This was a retrospective cross-sectional study, using data collected on bacterial isolates from January-December 2021. Samples from urine, stool, sputum, blood, and cerebrospinal fluid (CSF) were considered as well as, aspirates and swabs from wound, ears and vagina of patients. Bacteria were cultured on both enrichment and selective media including blood agar supplemented with 5% sheep blood and MacConkey agar, and identified by both the VITEK 2 system and routine biochemical tests. Data on routine culture and sensitivity tests performed on bacterial isolates from patient samples were retrieved from the hospital's health information system. Data were then entered into and analysed using WHONET. Results: In all, 891 pathogenic microorganisms were isolated from 835 patients who had positive culture tests. Gram-negative isolates accounted for about 77% of the total bacterial species. Conclusions: The isolates from the various samples were not susceptible to most of the antibiotics used in the study. The study reveals the resistance patterns of

Identifiers

PMID36994232
PMCPMC10041059

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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.