Evidence map›Paper›PMID 40313698›Full record

ArticleCentral European journal of urology2024

Estimated prediction of urinary tract neoplasms using the identify risk calculator in patients with haematuria.

Beatriz Gutiérrez Hidalgo, Juan Gómez Rivas, Irene de la Parra, Rommel Arévalo, M Isabel Galante Romo, Marco Ciappara, Enrique Redondo, Jesús Moreno-Sierra

Abstract read
In one paragraph

Article in Central European journal of urology, 2024. 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

8 authors.

Beatriz Gutiérrez HidalgoDepartment of Urology, Hospital Clínico San Carlos, Complutense University, Madrid, Spain.
Juan Gómez RivasDepartment of Urology, Hospital Clínico San Carlos, Complutense University, Madrid, Spain.
Irene de la ParraDepartment of Urology, Hospital Clínico San Carlos, Complutense University, Madrid, Spain.
Rommel ArévaloDepartment of Urology, Hospital Clínico San Carlos, Complutense University, Madrid, Spain.
M Isabel Galante RomoDepartment of Urology, Hospital Clínico San Carlos, Complutense University, Madrid, Spain.
Marco CiapparaDepartment of Urology, Hospital Clínico San Carlos, Complutense University, Madrid, Spain.
Enrique RedondoDepartment of Urology, Hospital Clínico San Carlos, Complutense University, Madrid, Spain.
Jesús Moreno-SierraDepartment of Urology, Hospital Clínico San Carlos, Complutense University, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The classification of patients studied for haematuria into risk groups is important for early diagnosis of urinary tract cancers and optimising healthcare resources. This study aims to evaluate the role of the IDENTIFY calculator in the initial study of these patients and its use for classifying patients into risk groups. Material and methods: A study of patients with haematuria was performed from June 2020 to June 2022. They were classified into risk groups using the IDENTIFY calculator. Final diagnosis of bladder neoplasia between the risk groups was compared. Receiver operating characteristic (ROC) curves were calculated according to the percentage of risk obtained with the calculator and the final diagnosis of bladder neoplasia. Results: We included 255 patients. Imaging tests were positive for bladder cancer in 39 patients (15.3%). Transurethral resection of bladder tumour was performed in 39 cases; 4 were negative, 18 cases Ta, 2 cases T1, 14 cases T2, and one case carcinoma Conclusions: Patients classified into the high-risk group were more frequently diagnosed with bladder cancer than other risk groups. The IDENTIFY risk calculator is a simple and easy-to-use tool with acceptable discrimination in the diagnosis of urinary tract tumours, specifically bladder cancer.

Indexed as

bladder cancerdiagnosishaematuriarisk calculator

Identifiers

PMID40313698
PMCPMC12042406

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.