Evidence map›Paper›PMID 40656285›Full record

ArticleCureus2025

Tracking the Invisible War: Automated Profiling of Multidrug-Resistant Pathogens in a Tertiary Care Teaching Hospital in Central India.

Smita V Mohod, Dilip S Gedam, Arya L Rajan, Ravindra K Khadse, Riya John

Abstract read
In one paragraph

Article in Cureus, 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.

Smita V MohodMicrobiology, Indira Gandhi Government Medical College & Hospital, Nagpur, IND.
Dilip S GedamMicrobiology, Indira Gandhi Government Medical College & Hospital, Nagpur, IND.
Arya L RajanMicrobiology, Indira Gandhi Government Medical College & Hospital, Nagpur, IND.
Ravindra K KhadseMicrobiology, Indira Gandhi Government Medical College & Hospital, Nagpur, IND.
Riya JohnMicrobiology, Indira Gandhi Government Medical College & Hospital, Nagpur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Automated systems such as VITEK® 2 Compact have revolutionized microbial diagnostics by offering rapid identification and antimicrobial susceptibility testing (AST). This study aimed to evaluate the spectrum of bacterial and fungal isolates and their resistance profiles using the VITEK 2 system. Material and methods A retrospective cross-sectional analysis was conducted over one year (January 2024 to December 2024) in the Department of Microbiology of a tertiary care hospital in Central India. The present study included only those clinical specimens that were initially processed using conventional methods but proved difficult to identify based on biochemical reactions alone. These included blood, sputum, wound swab, pus, cervicovaginal swab, endotracheal aspirate, pleural fluid, bronchoalveolar lavage, stool, corneal scraping, and cerebrospinal fluid. Such samples were subsequently subjected to identification by the VITEK 2 Compact system to ensure rapid and accurate results. The resistance patterns of Gram-negative organisms including

Indexed as

antimicrobial resistanceautomated systemsbacterial identificationminimum inhibitory concentrationmultidrug resistant organismsvitek 2 compact

Identifiers

PMID40656285
PMCPMC12249041

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.