Evidence map›Paper›PMID 41685286›Full record

ArticleAfrican journal of thoracic and critical care medicine2025

Seven-year surveillance of antimicrobial resistance in respiratory pathogens at a Ugandan referral hospital: Emerging trends and stewardship priorities.

J Bazira, C N Nakimuli, P P Nalumaga, S Kawuma, D Zziwa, J Stanely Iramiot

Abstract read
In one paragraph

Article in African journal of thoracic and critical care medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

J BaziraDepartment of Medical Microbiology, Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.ORCID https://orcid.org/0000-0001-7600-7514
C N NakimuliDepartment of Information Technology, Faculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda.ORCID https://orcid.org/0009-0006-3749-2952
P P NalumagaDepartment of Medical Microbiology, Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.ORCID https://orcid.org/0009-0007-1264-4910
S KawumaDepartment of Software Engineering, Faculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda.ORCID https://orcid.org/0000-0001-6988-6418
D ZziwaDepartment of Information Technology, Faculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda.
J Stanely IramiotDepartment of Microbiology and Immunology, Faculty of Health Sciences, Busitema University, Uganda.ORCID https://orcid.org/0000-0002-9239-6641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Respiratory tract infections remain a leading cause of global morbidity and mortality. Their management is increasingly complicated by the emergence and spread of antimicrobial resistance (AMR), particularly in resource-limited settings such as Uganda. Objectives: To describe the prevalence, distribution and AMR patterns of bacterial pathogens isolated from respiratory tract specimens collected at Mbarara Regional Referral Hospital (MRRH), Uganda, between 2018 and 2024. Methods: We conducted a retrospective analysis of 583 bacterial isolates from respiratory specimens collected at MRRH between 2018 and 2024. Data extracted from the WHONET system were analysed using Python to assess pathogen distribution, resistance patterns and multidrug resistance (MDR). Results: Conclusion: The rising prevalence of MDR among respiratory pathogens, particularly Study synopsis:

Indexed as

antimicrobial resistanceRespiratory tract infectionsUganda

Identifiers

PMID41685286
PMCPMC12892209

What OpenQuestion holds

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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.