Evidence map›Paper›PMID 42244008›Full record

ReviewDiagnostic and prognostic research2026

Urine and cerebrospinal fluid biomarkers for early glioma detection: a systematic review.

Craig Paterson, Jinyue Yu, Philippa Davies, Jack Read, Jennifer C Palmer, Sarah Dawson, Julian Pt Higgins, Kathreena M Kurian

Abstract readReview
In one paragraph

Review in Diagnostic and prognostic research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Craig PatersonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0003-3125-9712
Jinyue YuPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0001-5182-3232
Philippa DaviesPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-2678-7126
Jack ReadExeter Medical School, University of Exeter, St Luke's Campus, Exeter, UK.
Jennifer C PalmerPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Sarah DawsonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-6682-063X
Julian Pt HigginsPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-8323-2514
Kathreena M KurianPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK. kathreena.kurian@bristol.ac.uk.ORCID http://orcid.org/0000-0001-8161-1302

Funding

Cancer Research UK C18281/A29019Innovate UK 10027624National Institute for Health and Care Research NIHR203807Southmead Hospital Charitable Funds 8036
6 · The paper itself

Abstract

backgroundLiquid biopsies offer a minimally invasive approach for early glioma detection. However, potential non-blood biomarkers in urine and CSF are under-researched. While urine is easier to sample and has fewer proteins/cells, CSF may yield higher detection rates due to its proximity to the glioma. This systematic review evaluates non-blood liquid biopsy biomarkers (proteins, metabolites, cell-free DNA, and miRNA) in urine and CSF for early glioma detection.

methodsThree electronic databases (MEDLINE, Embase, and BIOSIS) were searched from inception to September 2024. Studies which assessed urine- or CSF-derived biomarkers as a means of identifying glioma patients were included. The primary outcomes of interest were measures of diagnostic test accuracy (specificity, sensitivity, positive predictive value, negative predictive value and area under the ROC curve). QUADAS-2 was used to assess risk of bias in included studies.

resultsWe extracted data from 20 studies (669 glioma patients and 597 controls) which met the inclusion criteria. Five of the included studies investigated urine-derived biomarkers, and 15 investigated CSF-derived biomarkers. Meta-analysis was not possible due to the heterogeneous nature of biomarkers collected, analysis methods, and differences in patient demographics.

conclusionsConclusions are limited by the paucity of studies and small sample sizes. These limitations highlight the need for well-designed, adequately powered studies to evaluate the diagnostic utility of urine and CSF for glioma liquid biopsies.

Identifiers

PMID42244008
PMCPMC13235107

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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.