Evidence map›Paper›PMID 41215779›Full record

ArticleIJID regions2025

Environmental sampling reveals reservoirs of antimicrobial resistance in a tertiary care Indian hospital: an observational study to strengthen infection control practices.

Kumari Vandana Singh, Mamta Puraswani, Aparna Ningombam, Ashita Ashita, Judy Mol Thomas, Neha Kumari Ambashta, Rasmi Rekha Deuri, Shoney Sam, Divya Ranic, Dennis Victor and 3 more

Abstract read
In one paragraph

Article in IJID regions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

13 authors.

Kumari Vandana SinghJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Mamta PuraswaniJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Aparna NingombamJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Ashita AshitaJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Judy Mol ThomasJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Neha Kumari AmbashtaJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Rasmi Rekha DeuriJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Shoney SamJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Divya RanicJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Dennis VictorJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Jacinta GunjiyalJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Kamran FarooqueJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
Purva MathurJai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study was designed to assess the bacterial profile and their phenotypic and genotypic antimicrobial resistance pattern in samples from a level I trauma center in India. Methods: A total of 387 samples were collected from surfaces, equipment, water, and hand swabs of intensive care units (ICUs), wards, and other hospital locations between May 2021 and July 2022 and analyzed for bacterial identification (MALDI-TOF), antimicrobial susceptibility (Vitek2), extended-spectrum beta-lactamase (ESBL and AmpC), and carbapenemase genes. Results: The majority of isolates (91.5%) were Gram-negative; 44.1% of Gram-negative isolates were either multidrug-resistant (MDR) or extensively drug-resistant (XDR), with MDR being most common in Conclusions: This study provides baseline data on antimicrobial resistance within the hospital and underlines the role of ICUs and equipment in cross-contamination, which can be used to devise evidence-based infection control practices.

Indexed as

Antimicrobial resistanceExtensively drug resistantHealth care-associated infectionsHospital environmentMultidrug resistance

Identifiers

PMID41215779
PMCPMC12597279

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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.