Evidence mapPaperPMID 41544136Full record

ArticlePLOS global public health2026

Determinants of multidrug-resistant urinary tract infections: A retrospective cross-sectional study from a tertiary care hospital in southern Bangladesh.

Ibrahim Khalil, Abu Sayed, A K M Akbar Kabir, Md Nurul Alam, S M Iqbal Hossain, Rahima Akther Dipa, Md Tanvir Rahman

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Article in PLOS global public health, 2026. 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

7 authors.

Ibrahim KhalilField Disease Investigation Laboratory, Department of Livestock Services, Barishal, Bangladesh.ORCID https://orcid.org/0000-0001-5065-860X
Abu SayedFaculty of Animal Science and Veterinary Medicine, Patuakhali Science & Technology University, Barishal Campus, Babugonj, Barishal, Bangladesh.ORCID https://orcid.org/0000-0002-0168-1317
A K M Akbar KabirDepartment of Microbiology, Sher-E-Bangla Medical College, Barishal, Bangladesh.ORCID https://orcid.org/0009-0003-6048-3446
Md Nurul AlamField Disease Investigation Laboratory, Department of Livestock Services, Barishal, Bangladesh.ORCID https://orcid.org/0009-0004-2313-3321
S M Iqbal HossainDepartment of Physiology and Pharmacology, Patuakhali Science & Technology University, Barishal Campus, Babugonj, Barishal, Bangladesh.
Rahima Akther DipaDepartment of Physiology, Pharmacology & Toxicology, Habiganj Agricultural University, Habiganj, Bangladesh.ORCID https://orcid.org/0009-0003-1797-6747
Md Tanvir RahmanDepartment of Microbiology and Hygiene, Faculty of Veterinary Science, Bangladesh Agriculture University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0001-5432-480X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multidrug resistance (MDR) in urinary tract infections (UTIs) presents a growing global health threat, particularly in resource-limited settings like Bangladesh, where context-specific data remain limited. This retrospective cross-sectional study, conducted from January to December 2023 at a tertiary care hospital in Barishal, Bangladesh, aimed to identify key predictors and risk factors associated with MDR in UTI patients. Of 1,670 urine samples received, 229 with significant bacterial growth were included for antimicrobial susceptibility testing using the disk diffusion method. E. coli (55.9%) was the most common isolate, followed by Pseudomonas spp. (20.5%), Klebsiella spp. (14.8%), and Acinetobacter spp. (8.7%). Of these isolates, 70 (30.56%) were found to be MDR-positive. Multivariate logistic regression revealed that male patients (aOR = 2.2; p < 0.05), samples from specialized units (SUs) (aOR = 6.1; p < 0.001), and private medical settings (PMSs) (aOR = 3.1; p < 0.05) were independently associated with increased odds of MDR. Notably, male patients from PMSs showed significantly elevated MDR risk (aOR = 21.8; p < 0.05), indicating a strong predictor for MDR-UTIs. Compared to Acinetobacter spp., E. coli (aOR = 0.3; p < 0.05) and Pseudomonas spp. (aOR = 0.1; p < 0.001) demonstrated lower MDR odds. Multiple Correspondence Analysis (MCA) showed that MDR-positive status and SUs were the main factors contributing to variations in the data, whereas Acinetobacter spp. and Pseudomonas spp. contributed to secondary patterns of variation. These findings underscore the multifactorial nature of MDR-UTIs and emphasize the critical role of healthcare-associated exposure and bacterial species in MDR development. Targeted antimicrobial stewardship, enhanced surveillance, and evidence-based interventions are urgently needed to curb MDR in UTIs within Bangladesh and similar low-resource contexts.

Identifiers

PMID41544136
PMCPMC12810910

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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 Socratic graph.