Evidence map›Paper›PMID 40115317›Full record

ArticleFrontiers in pediatrics2025

Clinical characteristics of patients with atypical teratoid/rhabdoid tumors: a monocentric retrospective analysis.

Zhiliang Wang, Jingchen Yang, Xing Liu, Wei Liu

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. 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

4 authors.

Zhiliang Wang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jingchen Yang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xing LiuDepartment of Neuropathology Center, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Wei LiuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Atypical teratoid/rhabdoid tumors (ATRTs) are very rare, highly malignant embryonal neoplasms in central nervous system. The aim of this study was to conduct a retrospective analysis of ATRT patient survival and investigate the prognostic factors associated with ATRT. Methods: A retrospective study was conducted using information of patients who received treatment between 2016 and 2021 in Beijing Tiantan Hospital. Kaplan-Meier curves were used for overall survival (OS) analysis. Univariate and multivariate COX analyses were applied for OS predicting. Results: 20 histologically confirmed ATRT patients were included. The majority were male (75%) and aged over 3 years (65%). 71.4% of patients under 3 years and 46.2% of above 3 years had supratentorial tumors. All patients underwent surgery, with 60% having total resections, primarily in the supratentorial region. Subsequent treatment involved varying chemotherapy and radiation combinations, with 40% of patients receiving it, and 87.5% of those were older than 3 years, The median overall survival for ATRT patients was 180 days. Survival differed significantly between patients under and above 3 years. Radiotherapy increased overall survival for all patients. Univariate and multivariate analysis showed better survival for those diagnosed above age 3 and with adjuvant radiation. Conclusions: Patients older than 3 years old had better prognosis and radiotherapy had a significant effect on improving patient prognosis.

Indexed as

atypical teratoid/rhabdoid tumorclinical characteristicsoverall survivalprognostic factorsretrospective study

Identifiers

PMID40115317
PMCPMC11922728

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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.