Evidence map›Paper›PMID 40867242›Full record

ArticleCancers2025

Explainable Machine Learning Models for Glioma Subtype Classification and Survival Prediction.

Olga Vershinina, Victoria Turubanova, Mikhail Krivonosov, Arseniy Trukhanov, Mikhail Ivanchenko

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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.

Olga VershininaResearch Center in Artificial Intelligence, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia.ORCID 0000-0002-3917-9592
Victoria TurubanovaResearch Center in Artificial Intelligence, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia.ORCID 0000-0002-4648-0738
Mikhail KrivonosovResearch Center in Artificial Intelligence, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia.ORCID 0000-0002-1169-5149
Arseniy TrukhanovMriya Life Institute, National Academy of Active Longevity, Moscow 124489, Russia.ORCID 0000-0001-6398-6549
Mikhail IvanchenkoResearch Center in Artificial Intelligence, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia.

Funding

The Ministry of Economic Development of the Russian Federation No 139-15-2025-004 dated 17.04.2025, agreement identifier 000000C313925P3X0002
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

explainable artificial intelligencegene expression datagliomamachine learningoverall survival prognosissubtype classification

Identifiers

PMID40867242
PMCPMC12384855

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.