Evidence map›Paper›PMID 42540543›Full record

ReviewCureus2026

Medical Device-Associated Infections in Intensive Care Settings: Biofilms, Multidrug-Resistant Pathogens, and Prevention Strategies.

Anam A Fakir, Satish R Patil, Priyanka M Mane

Abstract readReview
In one paragraph

Review 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.

Anam A FakirDepartment of Microbiology, Krishna Vishwa Vidyapeeth (Deemed to Be University), Karad, IND.
Satish R PatilDepartment of Microbiology, Krishna Vishwa Vidyapeeth (Deemed to Be University), Karad, IND.
Priyanka M ManeDepartment of Microbiology, Krishna Vishwa Vidyapeeth (Deemed to Be University), Karad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large percentage of healthcare-associated infections (HAIs) are medical device-associated infections (DAIs), which significantly raise patient morbidity, mortality, and medical costs. The use of invasive medical devices such as ventilators, central venous catheters, and urinary catheters is linked to a significant number of HAIs. Reports from the World Health Organization and extensive epidemiological studies highlight the pervasive effects of HAIs, particularly in resource-constrained environments. Ventilator-associated pneumonia, central line-associated bloodstream infections, and catheter-associated urinary tract infections are the most common forms of medical DAIs. These infections frequently result in longer hospital stays and more expensive medical care. Longer device use and inadequate aseptic procedures increase the risk of infection. Furthermore, because implant-related infections are recurrent and persistent, they present additional treatment challenges. One of the main causes of medical DAIs is biofilm formation. Biofilms are structured groups of microorganisms encased in an extracellular matrix that enhances their survival and resistance. Adhesion, maturation, and dispersion are the stages of biofilm formation that lead to persistent infections. These biofilms offer defense against the immune system and antibiotics.

Indexed as

antimicrobial resistance (amr)biofilmcatheter-associated urinary tract infections (cautis)central line-associated bloodstream infections (clabsi)device-associated infectionshealthcare-associated infections (hais)infection preventionintensive care unit (icu)multidrug-resistant pathogensventilator-associated pneumonia (vap)

Identifiers

PMID42540543
PMCPMC13426298

What OpenQuestion holds

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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.