Evidence map›Paper›PMID 39703457›Full record

ArticleFrontiers in psychiatry2024

Using cerebrospinal fluid biomarkers to diagnose Alzheimer's disease: an Australian perspective.

Dhamidhu Eratne, Steven Collins, Peter J Nestor, Dimity Pond, Dennis Velakoulis, Mark Yates, Colin L Masters

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Dhamidhu EratneNeuropsychiatry Centre, The Royal Melbourne Hospital, Melbourne, VIC, Australia.
Steven CollinsNational Dementia Diagnostics Laboratory, The Florey Institute, The University of Melbourne, Melbourne, VIC, Australia.
Peter J NestorQueensland Brain Institute, University of Queensland, St Lucia, QLD, Australia.
Dimity PondWicking Dementia Research and Teaching Centre, University of Tasmania, Hobart, TAS, Australia.
Dennis VelakoulisNeuropsychiatry Centre, The Royal Melbourne Hospital, Melbourne, VIC, Australia.
Mark YatesGrampians Health, Ballarat, VIC, Australia.
Colin L MastersNational Dementia Diagnostics Laboratory, The Florey Institute, The University of Melbourne, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebrospinal fluid (CSF) biomarkers are currently the only clinically validated biofluid diagnostic test for Alzheimer's Disease (AD) available in Australia. Testing of CSF biomarkers via lumbar puncture (LP), including quantification of amyloid-β peptide, total tau protein, and phosphorylated tau, can give insight into underlying pathophysiological changes and provide greater certainty in confirming or excluding the presence of Alzheimer's disease changes compared to standard clinical and radiological assessments. Despite CSF analysis being a safe and cost-effective diagnostic method, the use of CSF biomarkers in the evaluation of potential AD remains limited in Australian clinical practice due to a variety of factors, including regional access challenges, concerns over the perceived invasiveness of LP and a lack of confidence among clinicians in interpreting the results. The advent of disease-modifying therapies as a potential new treatment strategy to reduce the rate of progression in people with AD will drive the demand for early diagnosis of AD. This perspective argues for broader adoption of CSF biomarker testing by providing evidence-based, clinically informed expert guidance on when and why to consider CSF biomarker testing.

Indexed as

Alzheimer’s diseaseamyloidCSF biomarkersdementiadiagnosistau

Identifiers

PMID39703457
PMCPMC11656523

What OpenQuestion holds

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Registered trials

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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.