Evidence map›Paper›PMID 35729337›Full record

ReviewNature reviews. Neurology2022

Clinical implications of the 2021 edition of the WHO classification of central nervous system tumours.

Craig Horbinski, Tamar Berger, Roger J Packer, Patrick Y Wen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 186 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
186citing papers in PubMed, 3 pooled it
40.7field-weighted citation impact, top 1% 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

186 citing papers in PubMed, 3 syntheses or guidelines pooled it, 284 citations in OpenAlex.

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  8. Noninvasive Prediction ofDiagnostics (Basel, Switzerland) · 2026
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  20. Fluorescence-aided stereotactic needle biopsies for brain tumors: experience on 516 cases.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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126 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Craig HorbinskiDepartment of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. craig.horbinski@northwestern.edu.ORCID http://orcid.org/0000-0001-8340-9992
Tamar BergerCenter For Neuro-Oncology, Dana-Farber Cancer Institute and Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Roger J Packer *Center for Neuroscience and Behavioral Medicine, Brain Tumour Institute, Gilbert Family Neurofibromatosis Type 1 Institute, Children's National Hospital, Washington, DC, USA.
Patrick Y Wen *Center For Neuro-Oncology, Dana-Farber Cancer Institute and Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Brigham and Women's Hospital · USChildren's Tumor Foundation · USNorthwestern University · US

Funding

STINGing GBM: A First-in- Man Clinical Trial in Surgical Resectable Recurrent GBMP50CA221747 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Atique U. Ahmed · 2018 to 2026
$21.4M
Training Program in Nervous System TumorsK12CA090354 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI PLOTKIN, SCOTT R · 2001 to 2025
$16.3M
Targeting IDH mutations to improve seizure control in glioma patientsR01NS118039 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HORBINSKI, CRAIG MICHAEL, SWANSON, GEOFFREY T · 2020 to 2024
$2.2M
Tissue Factor as a Key Determinant of IDH1 Mutant versus IDH1 Wild-type Glioma Thrombosis and MalignancyR01NS102669 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HORBINSKI, CRAIG MICHAEL · 2017 to 2021
$1.7M
Interaction between Tissue Factor, Junctional Adhesion Molecule-A, and Integrin B1 to drive self-renewal in glioblastomaR01NS117104 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HORBINSKI, CRAIG MICHAEL, LATHIA, JUSTIN D. · 2020 to 2024
$1.5M
NCI NIH HHS K12 CA090354NCI NIH HHS P50 CA221747NINDS NIH HHS R01 NS102669NINDS NIH HHS R01 NS117104NINDS NIH HHS R01 NS118039
6 · The paper itself

Abstract

A new edition of the WHO classification of tumours of the CNS was published in 2021. Although the previous edition of this classification was published just 5 years earlier, in 2016, rapid advances in our understanding of the molecular underpinnings of CNS tumours, including the diversity of clinically relevant molecular types and subtypes, necessitated a new classification system. Compared with the 2016 scheme, the new classification incorporates even more molecular alterations into the diagnosis of many tumours and reorganizes gliomas into adult-type diffuse gliomas, paediatric-type diffuse low-grade and high-grade gliomas, circumscribed astrocytic gliomas, and ependymal tumours. A number of new entities are incorporated into the 2021 classification, especially tumours that preferentially or exclusively arise in the paediatric population. Such a substantial revision of the WHO scheme will have major implications for the diagnosis and treatment of patients with CNS tumours. In this Perspective, we summarize the main changes in the classification of diffuse and circumscribed gliomas, ependymomas, embryonal tumours and meningiomas, and discuss how each change will influence post-surgical treatment, clinical trial enrolment and cooperative studies. Although the 2021 WHO classification of CNS tumours is a major conceptual advance, its implementation on a routine clinical basis presents some challenges that will require innovative solutions.

Indexed as

Brain NeoplasmsCentral Nervous System NeoplasmsGliomaMeningeal NeoplasmsMeningiomaChildHumansWorld Health Organization

Identifiers

PMID35729337
OpenAlexW4283213286

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.