Evidence map›Paper›PMID 41153315›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Evaluation of the Risk of Urinary System Stone Recurrence Using Anthropometric Measurements and Lifestyle Behaviors in a Developed Artificial Intelligence Model.

Hikmet Yasar, Kadir Yildirim, Mucahit Karaduman, Bayram Kolcu, Mehmet Ezer, Ferhat Yakup Suceken, Fatih Bicaklioğlu, Mehmet Erhan Aydin, Coskun Kaya, Muhammed Yildirim and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. 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

11 authors.

Hikmet YasarDepartment of Urology, Sancaktepe I.Varank Training and Research Hospital, 34785 Istanbul, Turkey.
Kadir YildirimDepartment of Urology, Elazig Fethi Sekin City Hospital, 23280 Elazıg, Turkey.
Mucahit KaradumanDepartment of Software Engineering, Malatya Turgut Ozal University, 44100 Malatya, Turkey.ORCID 0000-0002-8087-4044
Bayram KolcuDepartment of Urology, Elazig Fethi Sekin City Hospital, 23280 Elazıg, Turkey.
Mehmet EzerDepartment of Urology, Medical School, Kafkas University, 36040 Kars, Turkey.
Ferhat Yakup SucekenDepartment of Urology, Umraniye Training and Research Hospital, 34764 Istanbul, Turkey.ORCID 0000-0001-7605-4353
Fatih BicaklioğluDepartment of Urology, Kartal Lutfi Kirdar Training and Research City Hospital, 34865 Istanbul, Turkey.ORCID 0000-0001-7175-713X
Mehmet Erhan AydinDepartment of Urology, City Training and Educational Hospital, 26080 Eskisehir, Turkey.ORCID 0000-0002-3567-9987
Coskun KayaDepartment of Urology, City Training and Educational Hospital, 26080 Eskisehir, Turkey.
Muhammed YildirimDepartment of Computer Engineering, Malatya Turgut Ozal University, 44000 Malatya, Turkey.ORCID 0000-0003-1866-4721
Kemal SaricaDepartment of Urology, Sancaktepe I.Varank Training and Research Hospital, 34785 Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceautoencoderclinical decision support systemstone recurrenceurinary system stone disease

Identifiers

PMID41153315
PMCPMC12564077

What OpenQuestion holds

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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.