Evidence map›Paper›PMID 42317878›Full record

ArticleCureus2026

Bacterial, Antimicrobial, and Clinical Profile of Multidrug-Resistant Gram-Negative Bacilli Isolates From Intensive Care Unit Patients.

Vaishnavi G Chavan, Satyajeet Pawar, Satish Patil

Abstract read
In one paragraph

Article in Cureus, 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

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

3 authors.

Vaishnavi G ChavanDepartment of Microbiology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to Be University), Karad, IND.
Satyajeet PawarDepartment of Microbiology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to Be University), Karad, IND.
Satish PatilDepartment of Microbiology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to Be University), Karad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Multidrug-resistant (MDR) Gram-negative bacilli (GNB) are a major cause of healthcare-associated infections in intensive care units (ICUs), leading to increased morbidity, mortality, and limited treatment options. This study was conducted to determine the prevalence of MDR-GNB among ICU clinical specimens and to evaluate their antimicrobial susceptibility patterns. Material and methods This cross-sectional observational study was carried out at the Department of Microbiology, Krishna Institute of Medical Sciences, Karad, from August 2024 to March 2025. A total of 370 clinical specimens obtained from ICU patients were processed using standard microbiological methods. The VITEK 2 compact automated system (Marcy-l'Étoile, France: bioMérieux) was used to identify Gram-negative bacilli, and VITEK 2 AST cards were used for antibiotic susceptibility testing. Multidrug-resistant isolates were defined as resistance to three or more antimicrobial classes. Results A total of 370 specimens were processed; growth was observed in 228 specimens. Among these, 109 were Gram-positive, and 119 were Gram-negative. Multidrug-resistant Gram-negative bacteria were identified in 101 isolates. The highest burden of infection was observed in both the 31-40 year and 41-50 year age groups, with each group contributing 26 cases (25.74%). Males were more frequently affected than females, contributing 69 (68.32%) cases compared to 32 (31.68%). Among the pathogens,

Indexed as

antibiotic susceptibilityantimicrobial resistancehealthcare-associated infectionsintensive care unitmultidrug-resistant gram-negative bacilli

Identifiers

PMID42317878
PMCPMC13272843

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.