Evidence map›Paper›PMID 42256555›Full record

ArticleFrontiers in neurology

Prognostic impact of

Ryong Heo, Yeosong Kim, Sehyeon Kim, Boseong Kim, Sinsoo Jeun, Chihyun Park

Abstract read
In one paragraph

Article in Frontiers in neurology. 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

6 authors.

Ryong Heo *Department of Data Science, Kangwon National University, Chuncheon-si, Gangwon-do, Republic of Korea.
Yeosong Kim *Department of Neurosurgery, GSAM Hospital, Gunpo, Republic of Korea.
Sehyeon KimDepartment of Data Science, Kangwon National University, Chuncheon-si, Gangwon-do, Republic of Korea.
Boseong KimDepartment of Biotechnology and Bioengineering, Kangwon National University, Chuncheon-si, Gangwon-do, Republic of Korea.
Sinsoo JeunDepartment of Neurosurgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Chihyun ParkDepartment of Data Science, Kangwon National University, Chuncheon-si, Gangwon-do, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glioblastoma (GBM) is a highly malignant brain tumor with a poor prognosis. Despite advancements in treatment, identifying robust biomarkers remains a challenge for improving clinical management. This study aims to identify poor prognostic factors and gain insights into their clinical significance through the analysis of next generation sequencing (NGS) data from GBM patients in a Korean cohort. Methods: An Overall Survival (OS) analysis and various statistical assessments were conducted on 95 GBM patients using data obtained from the Oncomine comprehensive assay. Results: A demographic and clinical analysis of the 95 GBM patients, grouped by survival duration, revealed differences in age ( Conclusion: In this study, we observed that

Indexed as

glioblastomaKorean glioblastoma patient cohortNF1 mutationO6-Methylguanine-DNA methyltransferase promoter unmethylationprognostic markers in GBM

Identifiers

PMID42256555
PMCPMC13233182

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.