Evidence map›Paper›PMID 39610639›Full record

ArticleCureus2024

Evaluation of Antibiotic Sensitivity in Methicillin-Resistant Staphylococcus aureus Isolates From Clinical Specimens in a Tertiary Care Hospital.

Payal P Patil, Harsha V Patil, Satish Patil

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Unveiling the antibiotic resistance pattern inWorld journal of experimental medicine · 2026
    Article
  3. Assessing the risk ofFrontiers in public health · 2026
    Article
  4. Article
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.

Payal P PatilDepartment of Microbiology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to Be University), Karad, IND.
Harsha V PatilDepartment 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

backgroundCommon Gram-positive bacteria MATERIAL AND

methodsA two-year laboratory-based analysis of MRSA strains in a hospital that provides tertiary care was conducted to assess their antibiotic susceptibility profiles.

resultsIn all, 100 isolates of MRSA were examined for patterns of antibiotic susceptibility in various clinical specimens. Among these 41 (41%) were from pus samples, 18 (18%) from wound swabs/discharge, 15 (15%) from urine, 13 (13%) from blood, 4% from sputum, and 3% from tips were found to have smaller percentages than umbilical swabs (2 (2%)) and tissue (1 (1%)) and vaginal swabs( 1 (1%)) and sinus tract samples (1 (1%)). The frequency of MRSA strains was more in males (59%). Linezolid showed the highest sensitivity at 86%.

conclusionThis study highlights the growing challenge of MRSA and other resistant bacteria in hospital settings, complicating treatment choices. Effective MRSA​​​​​​​ management requires stringent antibiotic policy, infection control procedures, and thorough susceptibility testing. These strategies are critical to preserving viable treatment options and combating antibiotic resistance in healthcare environments.

Indexed as

antibiotic susceptibilityclinical isolatesclinical laboratory standard institutemethicillin-resistant staphylococcus aureusβ-lactams

Identifiers

PMID39610639
PMCPMC11604230

What OpenQuestion holds

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LicenceCC BY
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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.