Evidence map›Paper›PMID 40860684›Full record

ArticlePeerJ2025

Survival prediction in gliomas based on MRI radiomics combined with clinical factors and molecular biomarkers.

Min Hao, Junyu Yan, Xiaochun Wang, Yan Tan, Hui Zhang, Guoqiang Yang

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Min Hao *Department of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Junyu Yan *Department of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Xiaochun WangDepartment of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Yan TanDepartment of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Hui ZhangDepartment of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Guoqiang YangDepartment of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To investigate the practicability of a radiomics signature combined with clinical factors and molecular biomarkers for predicting overall survival (OS) in glioma patients. Methods: Training ( Results: The radiomics signature based on the combined sequences indicated exceptional predictive ability for OS in three cohorts and stratified glioma patients significantly into high-risk and low-risk groups ( Conclusion: The radiomics signature demonstrates superior predictive performance for OS in glioma patients and significant subgroup risk stratification efficiency. Moreover, the comprehensive model combining clinical factors, molecular biomarkers, and radiomics features further achieves a robust assessment of survival prognosis.

Indexed as

Biomarkers, TumorBrain NeoplasmsGliomaMagnetic Resonance ImagingAdultAgedFemaleHumansIsocitrate DehydrogenaseKaplan-Meier EstimateMaleMiddle AgedNomogramsPrognosisRadiomicsRetrospective StudiesBiomarkers, TumorIsocitrate DehydrogenaseGliomaMRINomogramRadiomicsSurvival prediction

Identifiers

PMID40860684
PMCPMC12374691

What OpenQuestion holds

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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.