Evidence map›Paper›PMID 38449515›Full record

ArticleJAC-antimicrobial resistance2024

Antibiotic prescribing patterns and carriage of antibiotic-resistant

Kaunda Yamba, Steward Mudenda, Evans Mpabalwani, Geoffrey Mainda, Mercy Mukuma, Mulemba Tillika Samutela, Chileshe Lukwesa, Joseph Chizimu, Ciluvya Kavimba Kaluba, Matenge Mutalange 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.5field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 15 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

12 authors at 6 institutions in 1 country.

Kaunda YambaDepartment of Pathology & Microbiology, University Teaching Hospitals, Lusaka, Zambia.
Steward MudendaDepartment of Disease Control University of Zambia, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia.
Evans MpabalwaniDepartment of Paediatrics & Child Health, School of Medicine, University of Zambia, Lusaka, Zambia.
Geoffrey MaindaFood and Agriculture Organization (FAO) of the United Nations, House No. 5, Chaholi, Off Addis Ababa Drive, Lusaka, Zambia.
Mercy MukumaDepartment of Food Science, School of Agricultural Sciences and Nutrition, University of Zambia, Lusaka, Zambia.
Mulemba Tillika SamutelaDepartment of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, Zambia.
Chileshe LukwesaDepartment of Pathology & Microbiology, University Teaching Hospitals, Lusaka, Zambia.
Joseph ChizimuAntimicrobial Resistance Cluster, Zambia National Public Health Institute, Lusaka, Zambia.
Ciluvya Kavimba KalubaDepartment of Disease Control University of Zambia, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia.
Matenge MutalangeDepartment of Disease Control University of Zambia, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia.
Roma ChilengiZambia National Public Health Institute, Ministry of Health, Lusaka, Zambia.
John Bwalya MumaDepartment of Disease Control University of Zambia, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia.
University of Zambia · ZMUniversity Teaching Hospital · ZMMinistry of Agriculture and Livestock · ZMMinistry of Health · ZMMulungushi University · ZMZambia National Public Health Institute · ZM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study assessed antibiotic prescribing patterns in primary healthcare facilities and antimicrobial resistance (AMR) profiles of commensal Materials and methods: This cross-sectional study was conducted in Lusaka and Ndola districts of Zambia. Prescription pattern data were obtained from hospital pharmacies. Identification and antimicrobial susceptibility profiles of Results: Most prescribed antibiotics at the primary healthcare facilities belonged to the Access group of the WHO Access, Watch and Reserve (AWaRe) classification. All the primary healthcare facilities adhered to the AWaRe framework of ≥60% prescribed antibiotics belonging to the Access group. However, resistance was highest in the Access group of antibiotics. Conclusions: Resistance was highest in the prescribed WHO Access group of antibiotics. These findings highlight the need to use local susceptibility data to formulate country-specific treatment guidelines in line with WHO AWaRe classification and enforce regulations that prohibit easy access to antibiotics.

Identifiers

PMID38449515
PMCPMC10914442
OpenAlexW4392444787

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.