ReviewNature reviews. Neurology2026
Multiscale network perspectives on glioma: from tumour biology to symptoms, survival and treatment.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- Nested ecosystems theory for conceptualizing brain tumors.Disease models & mechanisms · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
41350399What Socratic holds
Registered trials
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.