Evidence map›Paper›PMID 40506937›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Computed Tomography-Based Radiomics Diagnostic Model for Fat-Poor Small Renal Tumor Subtypes.

Seokhwan Bang, Heehwan Wang, Hoyoung Bae, Sung-Hoo Hong, Jiook Cha, Moon Hyung Choi

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. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

6 authors.

Seokhwan BangDepartment of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.ORCID 0000-0002-0450-8763
Heehwan WangInterdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul 08826, Republic of Korea.
Hoyoung BaeDepartment of Urology, Seoul Metropolitan Government, Seoul National University Boramae Medical Center, Seoul 07061, Republic of Korea.
Sung-Hoo HongDepartment of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Jiook ChaInterdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul 08826, Republic of Korea.
Moon Hyung ChoiDepartment of Radiology, Eunpyung St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.

Funding

Ministry of Health & Welfare, Republic of Korea, Ministry of Food and Drug Safety KMDF_PR_20200901_0096
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

diagnosticskidney cancerradiomicsRCCsmall renal mass

Identifiers

PMID40506937
PMCPMC12155376

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.