Evidence map›Paper›PMID 39687126›Full record

ArticleHeliyon2024

The impact of the subventricular zone invasion types and MGMT methylation status on tumor recurrence and prognosis in glioblastoma.

Zhiying Shao, Hao Yan, Min Zhu, Zhengyang Liu, Ziqin Chen, Weiqi Li, Chenyang Wang, Longzhen Zhang, Junnian Zheng

Abstract read
In one paragraph

Article in Heliyon, 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

9 authors.

Zhiying ShaoDepartment of Clinical Trial, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Hao YanCancer Institute, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, 221004, China.
Min ZhuCancer Institute, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, 221004, China.
Zhengyang LiuCancer Institute, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, 221004, China.
Ziqin ChenCancer Institute, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, 221004, China.
Weiqi LiCancer Institute, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, 221004, China.
Chenyang WangCancer Institute, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, 221004, China.
Longzhen ZhangCancer Institute, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, 221004, China.
Junnian ZhengCenter of Clinical Oncology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu, 221002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The prognosis of isocitrate dehydrogenase (IDH) wild-type glioblastoma (GBM) with the subventricular zone (SVZ) invasion is extremely unfavorable but the underlying mechanism remains unclear. We aimed to conduct a retrospective study to mainly investigate the prognostic value of SVZ invasion and MGMT status, and developed a novel clinical prediction model based on our findings. Methods: 139 patients with IDH wild-type GBM were retrospectively studied. They were categorized into four types, taking into consideration of the spatial positional relationship between tumor, SVZ and the cerebral cortex (Ctx) on the preoperative T1-weighted contrast-enhanced images (T1WI + C). Survival analysis was conducted to identify significant variables, which were then included in a clinical model to predict patient survival outcomes. Results: Among the included patients, 41 (29.5 %) were type I, 23 (16.5 %) were type II, 59 (42.4 %) were type III, and 16 (11.5 %) were type IV. In Cox regression analysis, partial surgical resection, SVZ invasion, MGMT unmethylation, short adjuvant chemotherapy cycles, and distant recurrence were identified as independent risk factors of prognosis. A clinical prediction model based on these factors was developed to accurately predicted the survival outcome at 6, 12, and 18 months. Conclusion: Both SVZ invasion and MGMT unmethylation negatively influenced the prognosis of patients with IDH wild-type GBM. The clinical model developed in this study accurately predicts the survival outcome, providing a basis and reference for clinical practice.

Indexed as

clinical prediction modelGlioblastomaImaging classificationMGMTSubventricular zone

Identifiers

PMID39687126
PMCPMC11647857

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.