Evidence map›Paper›PMID 40497539›Full record

ReviewCurrent opinion in infectious diseases2025

Urinary tract infections in immunocompromised patients.

Cesar J Figueroa-Ortiz, Peter A Mead

Abstract readReview
In one paragraph

Review in Current opinion in infectious diseases, 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. Review
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

2 authors.

Cesar J Figueroa-OrtizDivision of Infectious Diseases, Department of Medicine, Memorial Sloan Kettering Cancer Center.
Peter A MeadDivision of Infectious Diseases, Department of Medicine, Memorial Sloan Kettering Cancer Center.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purpose of reviewUrinary tract infections (UTIs) are a major source of morbidity in immunocompromised patients, including transplant recipients, individuals with hematologic malignancies, people living with HIV, and those receiving immunosuppressive therapies. This review provides a synthesis of recent evidence, highlighting challenges in diagnosis, management, and antimicrobial resistance in these high-risk populations. RECENT

findingsRecent literature highlights the high burden of UTIs among immunocompromised patients. These infections are often caused by multidrug-resistant pathogens. Across these groups, common risk factors include immunosuppression, diabetes, urologic instrumentation, and catheterization. Diagnostic uncertainty - particularly distinguishing true infection from asymptomatic bacteriuria - frequently leads to overtreatment. Emerging stewardship tools, such as reflex urinalysis protocols and electronic phenotyping of antimicrobials (e.g. the use of the 'Acute Urinary Antibiotics' labelling), show promise for reducing inappropriate antibiotic use in outpatient settings. SUMMARY: UTIs in immunocompromised patients are increasingly complex due to atypical presentations and resistant pathogens. Clinical care must prioritize accurate diagnosis, judicious use of antibiotics, and implementation of stewardship interventions. Further research is needed to validate risk-based diagnostic tools and expand outpatient stewardship infrastructure in transplant and oncology settings.

Indexed as

Immunocompromised HostUrinary Tract InfectionsAnti-Bacterial AgentsAntimicrobial StewardshipHumansRisk FactorsAnti-Bacterial Agentsantimicrobial stewardshipasymptomatic bacteriuriaimmunocompromised hostrenal transplanturinary tract infection

Identifiers

PMID40497539
PMCPMC12282672

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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.