Evidence map›Paper›PMID 33681797›Full record

ReviewBMJ neurology open2020

Potential biomarkers and challenges in glioma diagnosis, therapy and prognosis.

Liyen Katrina Kan, Kate Drummond, Martin Hunn, David Williams, Terence J O'Brien, Mastura Monif

Abstract readReview
In one paragraph

Review in BMJ neurology open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Metabolite ratiomics: Rapid diagnosis and classification of gliomas for intraoperative application during brain surgery.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  5. Unraveling the role of specificity protein 1 in gliomas: pathophysiology and clinical implications.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

6 authors.

Liyen Katrina KanDepartment of Neuroscience, Monash University Faculty of Medicine, Nursing and Health Sciences, Melbourne, Victoria, Australia.
Kate DrummondDepartment of Neurosurgery, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Martin HunnDepartment of Neurosurgery, Alfred Health, Melbourne, Victoria, Australia.
David WilliamsDepartment of Physiology, The University of Melbourne, Melbourne, Victoria, Australia.
Terence J O'BrienDepartment of Neuroscience, Monash University Faculty of Medicine, Nursing and Health Sciences, Melbourne, Victoria, Australia.
Mastura MonifDepartment of Neuroscience, Monash University Faculty of Medicine, Nursing and Health Sciences, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are the most common central nervous system malignancies and present with significant morbidity and mortality. Treatment modalities are currently limited to surgical resection, chemotherapy and radiotherapy. Increases in survival rate over the previous decades are negligible, further pinpointing an unmet clinical need in this field. There is a continual struggle with the development of effective glioma diagnostics and therapeutics, largely due to a multitude of factors, including the presence of the blood-brain barrier and significant intertumoural and intratumoural heterogeneity. Importantly, there is a lack of reliable biomarkers for glioma, particularly in aiding tumour subtyping and measuring response to therapy. There is a need for biomarkers that would both overcome the complexity of the disease and allow for a minimally invasive means of detection and analysis. This is a comprehensive review evaluating the potential of current cellular, proteomic and molecular biomarker candidates for glioma. Significant hurdles faced in glioma diagnostics and therapy are also discussed here.

Indexed as

molecular biologyneurobiologyneurooncology

Identifiers

PMID33681797
PMCPMC7871709

What OpenQuestion holds

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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.