Evidence map›Paper›PMID 25410415›Full record

ReviewCurrent oncology reports2014

Advances in the management of paediatric high-grade glioma.

Jenny Adamski, Uri Tabori, Eric Bouffet

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Rare regression of congenital brainstem high-grade glioma: case report and literature review.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

3 authors at 1 institution in 2 countries.

Jenny AdamskiDivision of Haematology/Oncology, The Hospital for Sick Children, Universtiy of Toronto, Toronto, Ontario, Canada.
Uri Tabori
Eric Bouffet
Hospital for Sick Children · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-grade gliomas represent a formidable challenge to paediatric oncologists. The second most common malignant brain tumour of childhood, little progress has been made in the outcome of these tumours in the last four decades. Outcome remains dire with less than 20% of patients surviving. Current treatment consists of maximal resection and radiotherapy, with chemotherapy both in conjunction with and adjuvant to radiotherapy being added more recently. Yet much of the evidence for the use of chemotherapy is extrapolated from adult data, and evidence for its use in the paediatric population is weak. Recent advances in the biology of high-grade glioma in children identify epigenomic subgroups distinct from those seen in adults, suggesting a separate tumourigenic mechanism and delineating a separate disease entity. The time may be to move forward with a different way of thinking about paediatric tumours. With biological insight comes the promise of more effective therapies, rationally targeted towards the biology of the tumour. This review addresses the current advances in paediatric high-grade glioma and how we can move forward to translate this into improved outcomes for these patients.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsChemoradiotherapyAge FactorsBrain Stem NeoplasmsChildChild, PreschoolCombined Modality TherapyDisease ProgressionEvidence-Based MedicineGliomaHumansInfantInfant, NewbornMagnetic Resonance ImagingNeoplasm GradingPrognosis

Identifiers

PMID25410415
OpenAlexW2055744682

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.