Evidence map›Paper›PMID 40936504›Full record

ArticleScientifica2025

Molecular Characterization and Antibiogram Profiling of Bacteria Isolated From Sewage and Surface Water in Bangladesh.

Md Arif-Uz-Zaman Polash, Md Shamsul Islam, Nusrat Zahan, Subir Sarker, Md Hakimul Haque

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientifica, 2025. 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

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

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

5 authors.

Md Arif-Uz-Zaman PolashDepartment of Veterinary and Animal Sciences, University of Rajshahi, Rajshahi 6205, Bangladesh.
Md Shamsul IslamDepartment of Veterinary and Animal Sciences, University of Rajshahi, Rajshahi 6205, Bangladesh.
Nusrat ZahanDepartment of Veterinary and Animal Sciences, University of Rajshahi, Rajshahi 6205, Bangladesh.
Subir SarkerBiomedical Sciences & Molecular Biology, College of Medicine and Dentistry, James Cook University, Townsville, Queensland 4811, Australia.ORCID https://orcid.org/0000-0002-2685-8377
Md Hakimul HaqueDepartment of Veterinary and Animal Sciences, University of Rajshahi, Rajshahi 6205, Bangladesh.ORCID https://orcid.org/0000-0002-3856-6478

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global rise of antibiotic-resistant bacteria presents a major threat to public health, complicating the treatment of bacterial infections. This study aimed to identify bacterial pathogens in surface water and sewage samples from the University of Rajshahi, Bangladesh, and evaluate their antibiotic susceptibility. A total of 60 water samples were collected from four distinct locations and analyzed using a combination of culture-based techniques, conventional PCR, and advanced molecular techniques (Sanger sequencing). Eight prevalent bacterial species were identified:

Indexed as

antibiogrambacteria isolationBangladeshmolecular detectionsewagesurface water

Identifiers

PMID40936504
PMCPMC12422855

What OpenQuestion holds

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Registered trials

None linked

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.