Evidence map›Paper›PMID 42181488›Full record

ArticleCureus2026

Emergence of Multidrug-Resistant Pathogens in a Tertiary Care Hospital in Northern India: A Comparative Study Between Critical Care Units and Wards.

Manish Kumar, Ranga Reddy Burri, Shalabh Jauhari

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.

Manish KumarMicrobiology, Government Doon Medical College, Dehradun, IND.
Ranga Reddy BurriMedicine and Public Health, University of Hyderabad, Hyderabad, IND.
Shalabh JauhariMicrobiology, Government Doon Medical College, Dehradun, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim Multidrug-resistant organisms (MDROs) represent a major global public health concern, largely driven by inappropriate antibiotic use, over-the-counter availability of antimicrobials, and the absence of effective prescription audit systems. MDROs are microorganisms, most commonly bacteria, that exhibit resistance to one or more classes of antimicrobial agents. The burden of multidrug-resistant infections has increased worldwide, with marked rises in both healthcare-associated and community-acquired infections, particularly in regions with high levels of antibiotic misuse. This study aimed to characterize the spectrum of MDROs circulating in a tertiary care center, identify associated risk factors, and describe their antibiotic susceptibility patterns. Methods A prospective observational study was conducted over a period of one month, involving 1,223 clinical specimens from predefined areas. Specimens were processed for culture, identification, and antibiotic susceptibility testing. For all samples, patient demographic details, clinical information, and risk factors were documented and assessed. Infection prevention and control-related information was also documented. Data were analyzed using IBM SPSS Statistics for Windows, version 22.0 (released 2013; IBM Corp., Armonk, NY, USA), with the incorporation of the chi-square test for comparison between categorical variables, and a p-value of < 0.05 was considered statistically significant. Results Of the 1223 specimens, 1020 specimens were culture positive, with 240 (23.52%) yielding MDROs, with the highest proportions isolated from peritoneal fluid, CSF, and pus.

Indexed as

antimicrobial sensitivitydevice-related infectionimmunocompromised patientmultidrug-resistant organisms (mdros)prior antibiotic exposureuniversal precautions

Identifiers

PMID42181488
PMCPMC13192224

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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.