Evidence map›Paper›PMID 41323382›Full record

ArticleFrontiers in oncology2025

Voxel-based morphometry reveals immune-metabolic dysregulation driving adaptive cortical gray matter remodeling in patients with esophageal cancer.

Kaihua Zhang, Wei Su, Jiayu Lin, Yingli Gao, Chunming Gu, Ye Li, Ning Jiang, Yingtao Hao, Hai Zhong, Weiquan Zhang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. 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
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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

10 authors.

Kaihua ZhangFaculty of Psychology, Shandong Normal University, Jinan, China.
Wei SuFaculty of Psychology, Shandong Normal University, Jinan, China.
Jiayu LinFaculty of Psychology, Shandong Normal University, Jinan, China.
Yingli GaoFaculty of Psychology, Shandong Normal University, Jinan, China.
Chunming GuDepartment of Radiology, Mayo Clinic, Rochester, MN, United States.
Ye LiDepartment of Pediatrics, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Ning JiangDepartment of Thoracic Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Yingtao HaoDepartment of Thoracic Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Hai ZhongDepartment of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Weiquan ZhangDepartment of Thoracic Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer (EC), a highly prevalent malignant cancer, is frequently accompanied by cancer-related cognitive impairment (CRCI), yet its underlying neural mechanisms remain poorly understood. This study integrated inflammatory biomarkers and nutritional index with structural magnetic resonance imaging (MRI) to investigate the characteristics of brain structural alterations in EC patients and their association with systemic inflammation and nutritional metabolism. A total of 49 treatment-naive EC patients and 31 healthy controls (HC) were enrolled. High-resolution T1-weighted MRI scans and peripheral blood indices (including platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR)) were collected. Voxel-based morphometry (VBM) was employed to assess gray matter (GM) volume differences, and correlations between GM volume, inflammatory markers and nutritional index were analyzed. Results demonstrated that the EC group exhibited significantly elevated monocyte counts and PLR, alongside reduced lymphocytes, albumin levels, and prognostic nutritional index compared to HC (

Indexed as

esophageal cancergray matterimmune-metabolic dysregulationstructural magnetic resonance imagingvoxel-based morphometry

Identifiers

PMID41323382
PMCPMC12657183

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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.