Evidence map›Paper›PMID 33997782›Full record

ArticleBrain communications2021

Early diagnosis of brain tumours using a novel spectroscopic liquid biopsy.

Paul M Brennan, Holly J Butler, Loren Christie, Mark G Hegarty, Michael D Jenkinson, Catriona Keerie, John Norrie, Rachel O'Brien, David S Palmer, Benjamin R Smith and 1 more

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.7field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 35 citations in OpenAlex.

  1. Observational
  2. Article
  3. Innovation in Non-Invasive Diagnosis and Disease Monitoring for Meningiomas.International journal of molecular sciences · 2024
    Review
  4. Article
  5. Recent Developments in Blood Biomarkers in Neuro-oncology.Current neurology and neuroscience reports · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
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

11 authors at 4 institutions in 1 country.

Paul M BrennanTranslational Neurosurgery, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK.ORCID https://orcid.org/0000-0002-7347-830X
Holly J ButlerClinSpec Diagnostics Limited, Royal College Building, Glasgow G1 1XW, UK.ORCID https://orcid.org/0000-0002-8988-0811
Loren ChristieClinSpec Diagnostics Limited, Royal College Building, Glasgow G1 1XW, UK.ORCID https://orcid.org/0000-0001-8613-2116
Mark G HegartyClinSpec Diagnostics Limited, Royal College Building, Glasgow G1 1XW, UK.
Michael D JenkinsonInstitute of Translational Medicine, University of Liverpool & The Walton Centre NHS Foundation Trust, Liverpool L9 7LJ, UK.
Catriona KeerieEdinburgh Clinical Trials Unit, Usher Institute-University of Edinburgh, Edinburgh EH16 4UX, UK.
John NorrieEdinburgh Clinical Trials Unit, Usher Institute-University of Edinburgh, Edinburgh EH16 4UX, UK.
Rachel O'BrienEmergency Medicine Research Group (EMERGE), Royal Infirmiry of Edinburgh, Edinburgh EH16 4SA, UK.
David S PalmerClinSpec Diagnostics Limited, Royal College Building, Glasgow G1 1XW, UK.
Benjamin R SmithClinSpec Diagnostics Limited, Royal College Building, Glasgow G1 1XW, UK.
Matthew J BakerClinSpec Diagnostics Limited, Royal College Building, Glasgow G1 1XW, UK.
University of Edinburgh · GBRoyal Edinburgh Hospital · GBUniversity of Liverpool · GBUniversity of Strathclyde · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Early diagnosis of brain tumours is challenging and a major unmet need. Patients with brain tumours most often present with non-specific symptoms more commonly associated with less serious diagnoses, making it difficult to determine which patients to prioritize for brain imaging. Delays in diagnosis affect timely access to treatment, with potential impacts on quality of life and survival. A test to help identify which patients with non-specific symptoms are most likely to have a brain tumour at an earlier stage would dramatically impact on patients by prioritizing demand on diagnostic imaging facilities. This clinical feasibility study of brain tumour early diagnosis was aimed at determining the accuracy of our novel spectroscopic liquid biopsy test for the triage of patients with non-specific symptoms that might be indicative of a brain tumour, for brain imaging. Patients with a suspected brain tumour based on assessment of their symptoms in primary care can be referred for open access CT scanning. Blood samples were prospectively obtained from 385 of such patients, or patients with a new brain tumour diagnosis. Samples were analysed using our spectroscopic liquid biopsy test to predict presence of disease, blinded to the brain imaging findings. The results were compared to the patient's index brain imaging delivered as per standard care. Our test predicted the presence of glioblastoma, the most common and aggressive brain tumour, with 91% sensitivity, and all brain tumours with 81% sensitivity, and 80% specificity. Negative predictive value was 95% and positive predictive value 45%. The reported levels of diagnostic accuracy presented here have the potential to improve current symptom-based referral guidelines, and streamline assessment and diagnosis of symptomatic patients with a suspected brain tumour.

Indexed as

braincancerdiagnosisliquid biopsyspectroscopy

Identifiers

PMID33997782
PMCPMC8111062
OpenAlexW3140570490

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.