Evidence map›Paper›PMID 38525762›Full record

ArticleInfectious disease reports2024

Radiological Explorations of Patients with Upper or Febrile Urinary Tract Infection.

Katia Vanolli, Mike Libasse Jost, Olivier Clerc, Daniel Genné, Gregor John

Abstract read
In one paragraph

Article in Infectious disease reports, 2024. 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. 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

5 authors.

Katia VanolliDepartment of Internal Medicine, Neuchâtel Hospital Network, Rue de la Maladière 45, CH-2000 Neuchâtel, Switzerland.
Mike Libasse JostDepartment of Internal Medicine, Bienne Hospital Center, Chante-Merle 84, CH-2501 Bienne, Switzerland.
Olivier ClercDepartment of Internal Medicine, Neuchâtel Hospital Network, Rue de la Maladière 45, CH-2000 Neuchâtel, Switzerland.
Daniel GennéDepartment of Internal Medicine, Bienne Hospital Center, Chante-Merle 84, CH-2501 Bienne, Switzerland.
Gregor JohnDepartment of Internal Medicine, Neuchâtel Hospital Network, Rue de la Maladière 45, CH-2000 Neuchâtel, Switzerland.ORCID 0000-0002-1548-7339

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent European Association of Urology (EAU) guidelines and a clinical prediction rule developed by Van Nieuwkoop et al. suggest simple criteria for performing radiological imaging for patients with a febrile urinary tract infection (UTI). We analysed the records of patients with a UTI from four hospitals in Switzerland. Of 107 UTI patients, 58% underwent imaging and 69% (95%CI: 59-77%) and 64% (95%CI: 54-73%) of them were adequately managed according to Van Nieuwkoop's clinical rule and EAU guidelines, respectively. However, only 47% (95%CI: 33-61%) and 57% (95%CI: 44-69%) of the imaging performed would have been recommended according to their respective rules. Clinically significant imaging findings were associated with a history of urolithiasis (OR = 11.8; 95%CI: 3.0-46.5), gross haematuria (OR = 5.9; 95%CI: 1.6-22.1) and known urogenital anomalies (OR = 5.7; 95%CI: 1.8-18.2). Moreover, six of 16 (38%) patients with a clinically relevant abnormality displayed none of the criteria requiring imaging according to Van Nieuwkoop's rule or EAU guidelines. Thus, adherence to imaging guidelines was suboptimal, especially when imaging was not recommended. However, additional factors associated with clinically significant findings suggest the need for a new, efficient clinical prediction rule.

Indexed as

acute pyelonephritisguideline adherencepredictive factorsradiological imagingurinary tract infection

Identifiers

PMID38525762
PMCPMC10961809

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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.