Evidence map›Paper›PMID 41070314›Full record

ArticlePakistan journal of medical sciences2025

Comparing Multidrug-Resistant (MDR) and non-MDR Patients in Intensive Care Unit: Outcomes and Challenges.

Kaleem Ullah Toori, Ramsha Ghazal Arshad, Javeria Rahim

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Kaleem Ullah TooriKaleem Ullah Toori, MBBS, MRCP(UK), FRCP (Glasgow) KRL Hospital, Islamabad, Pakistan.
Ramsha Ghazal ArshadRamsha Ghazal Arshad, MBBS KRL Hospital, Islamabad, Pakistan.
Javeria RahimJaveria Rahim, MBBS KRL Hospital, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Antibiotic resistance is a major global health issue, particularly in intensive care units (ICUs), where critically ill patients are more vulnerable to multidrug-resistant (MDR) infections. The objective was to identify key factors contributing to the emergence of MDR pathogens in ICU patients. Methodology: This prospective cross-sectional observational study was conducted at the medical ICU of Khan Research Laboratories (KRL) Hospital in Islamabad, Pakistan, from September 2022 to August 2023. A total of 750 adult patients (aged ≥18 years) were included in the study, divided into two groups: 375 patients with MDR infections (Study group) and 375 patients without MDR infections (Control group). Clinical and laboratory data were collected, including patient history, comorbidities, recent hospitalizations, and results from culture and antibiotic susceptibility testing and analysed using multivariate regression analysis. Results: From a total of 750 patients, 375 were in each group, mean age was 59.5 ±15.9, with 405(53%) males. Patients with comorbidities, low Hb, renal or coagulation impairment were more in the MDR group. Age, previous history of cardiovascular disease, cerebrovascular disease mechanical ventilation, high CRP and number of indwelling lines and coagulation dysfunction were significant risk factors linked to mortality. Conclusion: Modifiable factors like indwelling lines and use of mechanical ventilation play a critical role in the development of MDR infections in ICUs. Addressing these factors through targeted interventions may help reduce the burden of MDR pathogens and improve patient outcomes in critical care settings.

Indexed as

Intensive care unitMultidrug-resistant pathogensRisk factors

Identifiers

PMID41070314
PMCPMC12505942

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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.