Evidence map›Paper›PMID 39135733›Full record

ArticleFrontiers in neuroscience2024

Connectomic insights into the impact of 1p/19q co-deletion in dominant hemisphere insular glioma patients.

Zuo-Cheng Yang, Bo-Wen Xue, Xin-Yu Song, Chuan-Dong Yin, Fang-Cheng Yeh, Gen Li, Zheng-Hai Deng, Sheng-Jun Sun, Zong-Gang Hou, Jian Xie

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Zuo-Cheng Yang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Bo-Wen Xue *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xin-Yu Song *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Chuan-Dong YinDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Fang-Cheng YehDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, United States.
Gen LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zheng-Hai DengDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Sheng-Jun SunNeuroimaging Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zong-Gang HouDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jian XieDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to elucidate the influences of 1p/19q co-deletion on structural connectivity alterations in patients with dominant hemisphere insular diffuse gliomas. Methods: We incorporated 32 cases of left insular gliomas and 20 healthy controls for this study. Using diffusion MRI, we applied correlational tractography, differential tractography, and graph theoretical analysis to explore the potential connectivity associated with 1p/19q co-deletion. Results: The study revealed that the quantitative anisotropy (QA) of key deep medial fiber tracts, including the anterior thalamic radiation, superior thalamic radiation, fornix, and cingulum, had significant negative associations with 1p/19q co-deletion (FDR = 4.72 × 10 Conclusion: The findings of this study underline the significant role of 1p/19q co-deletion in altering structural connectivity in insular glioma patients. These alterations in brain networks could have profound implications for the neural functionality in patients with dominant hemisphere insular gliomas.

Indexed as

1p/19q co-deletiongraph theoretical networksinsular gliomasstructural connectivitytractography

Identifiers

PMID39135733
PMCPMC11317282

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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.