Evidence map›Paper›PMID 41835207›Full record

ArticleInfection and drug resistance2026

Hospital Air and Healthcare Personnel as Reservoirs of Drug-Resistant Bacteria in Tertiary Care Settings in Pakistan.

Nabeel Ahmad, Muhammad Faizan Imran, Rana Talal Ahmed, Mirza Muhammad Suleman, Madiha Riaz, Ahsan Sattar Sheikh, Ming-Hsien Chiang

Abstract read
In one paragraph

Article in Infection and drug resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Nabeel Ahmad *Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Muhammad Faizan Imran *Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Rana Talal AhmedInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Mirza Muhammad SulemanInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Madiha RiazInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Ahsan Sattar Sheikh *Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Ming-Hsien Chiang *Department of Nutritional Science, College of Human Ecology, Fu Jen Catholic University, New Taipei, Taiwan.ORCID 0000-0002-2029-7863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this cross-sectional study was to evaluate the environmental-human interface of antimicrobial resistance (AMR) by investigating drug-resistant bacteria in hospital air and the nasal microbiota of healthcare personnel across four tertiary care hospitals in Pakistan. Material and Methods: A total of 80 samples (40 aerosol samples and 40 nasal swabs) were collected and analyzed using culture-based microbiological identification. Antimicrobial susceptibility testing was performed using the Clinical & Laboratory Standards Institute-guided disc diffusion method, and polymerase chain reaction (PCR) was used to screen representative β-lactam-resistant isolates for key resistance genes, including Results: Bacterial isolates were categorized into three ecological groups: environment-exclusive strains (eg, Conclusion: These findings demonstrate that hospital air acts as not only a reservoir for environmental pathogens but also a potential conduit for microbial exchange with healthcare personnel. Therefore, integrated infection control strategies incorporating air quality management and personnel surveillance are essential. As the interpretation of the findings is limited by the cross-sectional design and reliance on culture-based methods, future studies should include longitudinal and molecular-based approaches.

Indexed as

antimicrobial resistancebacterial infectionenvironmental healthmolecular epidemiology

Identifiers

PMID41835207
PMCPMC12979362

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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.