Evidence map›Paper›PMID 42073532›Full record

ArticleCancers2026

An Interpretable Multimodal Machine-Learning Model for Non-Invasive Preoperative Glioma Grading.

Xianfeng Rao, Min Yang, Hao Chen, Guanhao Li, Li Wu, Liudong Gong, Mingchun Yang, Haiyang Wang, Ye Ding, Guanxi Chen and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2026. 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

14 authors.

Xianfeng RaoDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Min YangDepartment of Pediatric Surgery, The Sixth Affiliated Hospital of Harbin Medical University, Harbin 150023, China.
Hao ChenDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Guanhao LiDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Li WuDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Liudong GongDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Mingchun YangDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Haiyang WangDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Ye DingDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Guanxi ChenDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Xianjun RaoDepartment of Spleen and Stomach Diseases, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China.
Na ZhangDepartment of Laboratory Diagnostics, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Xiaoxiong WangDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Lei TengDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.

Funding

National Natural Science Foundation of China 82473135National Natural Science Foundation of China 82573744
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

gliomamachine learningmagnetic resonance spectroscopypredictive modelpreoperative grading

Identifiers

PMID42073532
PMCPMC13114312

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.