Evidence map›Paper›PMID 41688624›Full record

ArticleEuropean geriatric medicine2026

Signs and symptoms attributed to urinary tract infections in nursing home residents across eight European countries.

Marie Theut, Jette Nygaard Jensen, Valeria Antsupova, Malene Plejdrup Hansen, Laura Vallejo-Torres, Carl Llor, Ana Garcia-Sangenis, Ramon Monfà, Nina Sodja, András Bálint and 6 more

Abstract readMulticenter Study
In one paragraph

Article in European geriatric medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Marie TheutResearch Unit for Antibiotic Stewardship and Implementation, Department of Clinical Microbiology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark. anna.marie.theut.01@regionh.dk.ORCID http://orcid.org/0009-0006-8357-1934
Jette Nygaard JensenResearch Unit for Antibiotic Stewardship and Implementation, Department of Clinical Microbiology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.
Valeria AntsupovaDepartment of Clinical Microbiology, Copenhagen University Hospital -Herlev and Gentofte, Herlev, Denmark.
Malene Plejdrup HansenResearch Unit for General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Laura Vallejo-TorresDepartment of Quantitative Methods in Economics and Management, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
Carl LlorInstitut Català de La Salut, Barcelona, Spain.
Ana Garcia-SangenisCIBER de Enfermedades Infecciosas., Instituto de Salud Carlos III, Madrid, Spain.
Ramon MonfàCIBER de Enfermedades Infecciosas., Instituto de Salud Carlos III, Madrid, Spain.
Nina SodjaDepartment of Family Medicine, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
András BálintSzeged Autumn Nursing Home, Szeged, Hungary.
Lina JarusevicieneDepartment of Family Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Christos LionisDepartment of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece.
Anna KowalczykCentre for Family and Community Medicine, The Faculty of Health Sciences, The Medical University of Lodz, Lodz, Poland.
Helena GlasovaDepartment of Clinical Pharmacology, Faculty of Medicine, Slovak Medical University in Bratislava, Bratislava, Slovakia.
Jesper LykkegaardResearch Unit for General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark.
IMAGINE study group

Funding

EU4H 101079838
6 · The paper itself

Abstract

purposeThis study examines which signs and symptoms lead to antibiotic treatment for suspected urinary tract infections in nursing home residents across eight European countries. Understanding these factors may clarify diagnostic practices and help reduce overdiagnosis.

methodsFrom February to April 2024, nursing home staff in Denmark, Greece, Hungary, Lithuania, Poland, Slovakia, Slovenia, and Spain completed a registration chart for each resident treated with antibiotics. The chart collected data on treatment indication, risk factors for urinary tract infection, and signs and symptoms attributed to the infection. Descriptive analysis was conducted to examine variation in signs and symptoms attributed to urinary tract infections across countries.

resultsThis study included 9718 residents across 109 nursing homes. During the study period, 975 antibiotic treatments were initiated on suspicion of urinary tract infection in residents without an indwelling urinary catheter. The median age of residents receiving treatment was 86 years, and 76% were women. Substantial variation was observed in the signs and symptoms attributed to urinary tract infections. In some countries, general symptoms, such as changes in behavior and confusion, predominated; in others, urinary tract symptoms were more common; while in others, changes in urine were most frequently reported.

conclusionsThe marked variation in signs and symptoms attributed to urinary tract infections across countries highlights both the diagnostic complexity and the lack of consensus regarding diagnostic approaches in nursing home settings. This uncertainty may contribute to overdiagnosis and inappropriate antibiotic prescribing. Greater standardization and improved diagnostic guidance are warranted.

Indexed as

Anti-Bacterial AgentsNursing HomesUrinary Tract InfectionsAgedAged, 80 and overEuropeFemaleHumansMaleNursing Home ResidentsRisk FactorsAnti-Bacterial AgentsNursing home residentsSymptomsUrinary tract infections

Identifiers

PMID41688624
PMCPMC13309494

What OpenQuestion holds

Textmetadata
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.