Evidence map›Paper›PMID 40297120›Full record

ArticleThe Indian journal of radiology & imaging2025

Predicting Renal Cell Carcinoma Subtypes and Fuhrman Grading Using Multiphasic CT-Based Texture Analysis and Machine Learning Techniques.

Amit Gupta, Sanil Garg, Neel Yadav, Rohan Raju Dhanakshirur, Kshitiz Jain, Rishi Nayyar, Seema Kaushal, Chandan J Das

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Indian journal of radiology & imaging, 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. 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

8 authors.

Amit GuptaDepartment of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India.
Sanil GargDepartment of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India.
Neel YadavDepartment of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India.
Rohan Raju DhanakshirurAmarnath and Shashi Khosla School of Information Technology, Indian Institute of Technology Delhi, New Delhi, India.
Kshitiz JainYardi School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi, India.
Rishi NayyarDepartment of Urology, All India Institute of Medical Sciences, New Delhi, India.
Seema KaushalDepartment of Pathology, All India Institute of Medical Sciences, New Delhi, India.
Chandan J DasDepartment of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India.ORCID 0000-0001-6505-5940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

machine learningrenal cell carcinomatexture analysis

Identifiers

PMID40297120
PMCPMC12034396

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.