Evidence mapPaperPMID 41350399Full record

ReviewNature reviews. Neurology2026

Multiscale network perspectives on glioma: from tumour biology to symptoms, survival and treatment.

Linda Douw, Jaap C Reijneveld, Ayan S Mandal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Linda DouwMultiscale Network Neuroscience Laboratory, Department of Anatomy and Neurosciences, Amsterdam University Medical Center location Vrije Universiteit Amsterdam, Amsterdam, Netherlands. l.douw@amsterdamumc.nl.
Jaap C ReijneveldCancer Center Amsterdam, Amsterdam, Netherlands.
Ayan S MandalDepartment of Neurology, Mass General Brigham, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-0780-3864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adult glioma is associated with a wide range of symptoms and variable survival that are not fully explained by tumour location or subtype. Recent work suggests that the disease may be better understood using a network-based framework, as opposed to more traditional localizationist thinking. In this Review, we describe three major types of network scaffolds relevant in people with glioma: symptom networks, the connectome and tumour biology networks. We summarize current evidence on how symptoms co-occur to form patterns, how gliomas affect structural and functional brain connectivity beyond the lesion and how tumour cells form intricate networks that interact with their surroundings. We then explore the relationships between local and global perspectives within each scaffold, and how these three scaffolds are interrelated, for example, through associations among tumour connectivity, cognitive performance and survival. We examine how current treatments such as surgery, radiotherapy, chemotherapy and anti-seizure medication interact with various network scaffolds. Group-level findings often do not reflect individual variability, and we highlight the need for personalized, longitudinal, multimodal and standardized network studies. Finally, we outline future steps towards integration of these three, and potentially additional network scaffolds, to provide network-informed care to patients with glioma.

Indexed as

Brain NeoplasmsGliomaNerve NetConnectomeHumans

Identifiers

PMID41350399

What Socratic 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 Socratic graph.