Evidence map›Paper›PMID 42488281›Full record

ArticleCureus2026

Microbiological Profile and Antimicrobial Resistance Patterns of Endotracheal Aspirates in a Tertiary Care Hospital.

Malini Jagannatha Rao, Karthik Bhaskaran, Punith Kumar Nv, Harika Katepogu

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

4 authors.

Malini Jagannatha RaoDepartment of Microbiology, Employees' State Insurance Corporation Medical College Post Graduate Institute of Medical Sciences and Research and Model Hospital, Bengaluru, IND.
Karthik BhaskaranDepartment of Microbiology, People's Education Society University Institute of Medical Sciences and Research, Bengaluru, IND.
Punith Kumar NvDepartment of Microbiology, Employees' State Insurance Corporation Medical College Post Graduate Institute of Medical Sciences and Research and Model Hospital, Bengaluru, IND.
Harika KatepoguDepartment of Microbiology, Employees' State Insurance Corporation Medical College Post Graduate Institute of Medical Sciences and Research and Model Hospital, Bengaluru, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Antimicrobial resistance among Gram-negative bacilli has emerged as a major challenge in hospitalized patients, particularly in respiratory infections associated with prolonged hospitalization and invasive airway devices. Continuous surveillance of respiratory isolates and their antimicrobial susceptibility patterns is essential for guiding empirical therapy and strengthening antimicrobial stewardship practices. Objective This study aimed to determine the bacterial profile, antimicrobial susceptibility patterns, and multidrug resistance prevalence among clinical endotracheal aspirate isolates. Methods This prospective observational study was conducted in the Department of Microbiology of a tertiary care hospital. Endotracheal aspirate samples received during the study period were processed using standard microbiological techniques. Identification and antimicrobial susceptibility testing of isolates were performed using the VITEK automated system (bioMérieux, Marcy-l'Étoile, France), and results were interpreted according to the Clinical and Laboratory Standards Institute (CLSI) guidelines. Resistance phenotypes including extended-spectrum β-lactamase (ESBL)-associated resistance patterns and carbapenem non-susceptibility among

Indexed as

antimicrobial resistanceendotracheal aspiratehealthcare-associated infectionsmultidrug-resistant organismnon-fermenting gram-negative bacilli

Identifiers

PMID42488281
PMCPMC13390611

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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.