Evidence map›Paper›PMID 41189609›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

How can Alzheimer's disease blood-based biomarkers reach clinical practice?

Robert Perneczky, Frances-Catherine Quevenco, James Hendrix, Stephane Epelbaum, Charlotte Teunissen, Wiesje M van der Flier, Marc Suárez-Calvet, Jiong Shi, Michelle M Mielke, Takeshi Iwatsubo and 2 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Validating plasma biomarkers for distinguishing neurodegenerative and psychiatric disorders.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Article
  5. 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

12 authors.

Robert PerneczkyDepartment of Psychiatry and Psychotherapy LMU Hospital LMU Munich Munich Germany.
Frances-Catherine QuevencoEli Lilly and Company Indianapolis Indiana USA.ORCID https://orcid.org/0000-0003-1467-6880
James HendrixEli Lilly and Company Indianapolis Indiana USA.
Stephane EpelbaumEli Lilly and Company Indianapolis Indiana USA.
Charlotte TeunissenNeurochemistry Lab Department of Laboratory Medicine Amsterdam Neuroscience Amsterdam University Medical Centers Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Wiesje M van der FlierAlzheimer Center Amsterdam Department of Neurology Amsterdam University Medical Centers Vrije Universiteit Amsterdam Amsterdam The Netherlands.
Marc Suárez-CalvetBarcelonaβeta Brain Research Center Pasqual Maragall Foundation Barcelona Barcelona Spain.
Jiong ShiDepartment of Neurology The First Affiliated Hospital of University of Science and Technology Hefei Anhui China.
Michelle M MielkeDepartment of Epidemiology and Prevention Wake Forest University School of Medicine Winston-Salem North Carolina USA.
Takeshi IwatsuboThe University of Tokyo Bunkyo Ward Tokyo Japan.
Sebastian PalmqvistClinical Memory Research Unit Department of Clinical Sciences in Malmö Lund University, Johannesgatan Malmö Sweden.
Oskar HanssonEli Lilly and Company Indianapolis Indiana USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlzheimer's disease (AD) diagnosis has been based largely on clinical symptoms, despite their limited sensitivity and specificity. Biomarker use was proposed to support a more accurate and timely diagnosis. However, neuroimaging or cerebrospinal fluid (CSF) is rarely used in primary care due to their perceived invasiveness, cost, and need for appropriate infrastructure. Blood-based biomarkers (BBMs) could represent an economical, minimally invasive alternative, but barriers exist to a seamless translation to the clinic.

methodsTen international experienced AD clinicians and biomarker experts participated in a diagnostic roundtable to discuss the implementation of BBMs for diagnosing early symptomatic AD.

resultsThe participants proposed an optimal AD diagnostic pathway and highlighted three main gaps to implementing BBMs for early symptomatic AD diagnosis: limited real-world data, resource gaps, and system barriers. DISCUSSION: Although BBMs could streamline the AD diagnostic pathway, further real-world evidence and collaboration among multiple stakeholders are needed. Highlights: Early symptomatic Alzheimer's disease (AD) diagnosis improves treatment strategy and lowers costs.Currently available biomarkers are not widely used across all clinical settings.Blood-based biomarkers (BBMs) could be a cost-effective, minimally invasive alternative.BBMs could accelerate an accurate AD diagnosis.There are barriers to the inclusion of BBMs in clinical practice.

Indexed as

Alzheimer's diseasebarriersblood‐based biomarkersdiagnosisdiagnostic pathwayguidelinesmild cognitive impairmentpopulation screening

Identifiers

PMID41189609
PMCPMC12580295

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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.