Evidence map›Paper›PMID 38761264›Full record

ReviewChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2024

Pediatric-type low-grade gliomas in adolescents and young adults-challenges and emerging paradigms.

Julie Bennett, Kee Kiat Yeo, Uri Tabori, Cynthia Hawkins, Mary Jane Lim-Fat

Abstract readReview
PubMed Publisher
In one paragraph

Review in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

5 authors.

Julie BennettDivision of Hematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada. julie.bennett@sickkids.ca.
Kee Kiat YeoDepartment of Pediatric Oncology, Dana-Farber / Boston Children's Cancer and Blood Disorder Center, Boston, MA, USA.
Uri TaboriDivision of Hematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada.
Cynthia HawkinsArthur and Sonia Labbatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada.
Mary Jane Lim-FatDivision of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric-type low-grade glioma (PLGG) encompasses a heterogeneous group of WHO grade 1 or 2 tumors and is the most common central nervous system tumor found in children. PLGG extends beyond pediatrics, into adolescents and young adults (AYA, ages 15-40). PLGG represents 25% of all gliomas diagnosed in AYA with differences in tumor location and molecular alterations compared to children, resulting in improved outcome for AYAs. Long-term outcome is excellent, though patients may suffer significant morbidity depending on tumor location. There are differences in treatment practices with radiation used to treat PLGG in AYAs more often than in children. Most PLGG in AYA harbor an alteration in the RAS/MAPK pathway, with limited insight into response to targeted therapy in this age group. This review discusses the epidemiology, current therapeutic approaches, and challenges in the management of PLGG in AYA.

Indexed as

Brain NeoplasmsGliomaAdolescentAdultHumansYoung AdultAdolescents and young adultsMolecular testingPediatric-type low-grade gliomaRAS/MAPK alterationsTargeted therapy

Identifiers

PMID38761264

What OpenQuestion holds

Textmetadata
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.