Evidence map›Paper›PMID 40809009›Full record

ArticleFrontiers in oncology2025

Molecular subtypes, prognostic factors, and treatment optimization in pediatric medulloblastoma: a real-world study from China.

Jingjing Liu, Yanling Sun, Huming Li, Shuxu Du, Jin Zhang, Zhen Zhang, Liming Sun, Wanshui Wu

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

8 authors.

Jingjing LiuDepartment of Pediatrics, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Yanling SunDepartment of Pediatrics, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Huming LiDepartment of Pulmonary and Critical Care Medicine, 6th Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Shuxu DuDepartment of Pediatrics, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Jin ZhangDepartment of Pediatrics, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Zhen ZhangDepartment of Pediatrics, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Liming SunDepartment of Pediatrics, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Wanshui WuDepartment of Pediatrics, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medulloblastoma (MB) is the most common malignant pediatric brain tumor, yet systematic studies on molecular characteristics and treatment efficacy in Chinese pediatric MB remain scarce. This study evaluates recurrence and mortality risk factors and the feasibility of intensified chemotherapy. Methods: A retrospective analysis of 381 MB patients (WNT: 63, SHH: 106, Group 3: 27, Group 4: 185) was conducted. Kaplan-Meier analysis estimated survival rates, and Cox regression identified independent risk factors for recurrence and mortality. Results: With a median follow-up of 4.8 years, 5-year PFS and OS were 69.9% ± 2.4% and 80.6% ± 2.1%, respectively. WNT-MB had the best prognosis, while Group 3-MB had the worst. Independent recurrence risk factors included high-risk status (HR=2.931, Conclusion: This study identified key clinical and molecular risk factors associated with recurrence and mortality in pediatric medulloblastoma. The findings underscore the prognostic relevance of TP53 mutations, MYCN amplification, and specific chromosomal alterations, particularly in non-metastatic subgroups. These insights may help guide risk-adapted and personalized treatment strategies in future studies.

Indexed as

large cohortmaintain chemotherapy by risk stratificationmedulloblastomareal-world studyrisk factors for relapse and mortality

Identifiers

PMID40809009
PMCPMC12343238

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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.