Evidence map›Paper›PMID 37012066›Full record

ArticleJournal of neurology, neurosurgery, and psychiatry2023

Plasma biomarkers for Alzheimer's disease: a field-test in a memory clinic.

Daniele Altomare, Sara Stampacchia, Federica Ribaldi, Szymon Tomczyk, Claire Chevalier, Géraldine Poulain, Saina Asadi, Bianca Bancila, Moira Marizzoni, Marta Martins and 9 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Journal of neurology, neurosurgery, and psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07731191 (Development of Digital Solutions for the Prediction of the Biological Mechanisms of Alzheimer's Disease Through the Analysis of Risk Factors), which is not on this map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
12.9field-weighted citation impact, top 1% 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.

NCT07731191 narecruitingnot on this mapstarted 2026, after this paper: background citation

Development of Digital Solutions for the Prediction of the Biological Mechanisms of Alzheimer's Disease Through the Analysis of Risk Factors (PrevAI)

TypeinterventionalSponsorIRCCS Centro San Giovanni di Dio FatebenefratelliRan2026 to 2026Enrolled240ConditionsMild Cognitive Impairment (MCI), Subjective Cognitive Decline (SCD)ArmsDigital solution for the prediction of the biological mechanisms of Alzheimer's disease through the analysis of risk factors
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Observational
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 6 institutions in 5 countries.

Daniele AltomareLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland Daniele.Altomare@unibs.it.ORCID 0000-0003-1905-8993
Sara StampacchiaLaboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0001-9545-3376
Federica RibaldiLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
Szymon TomczykLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
Claire ChevalierLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
Géraldine PoulainSérotheque Centrale / Biotheque SML, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland.
Saina AsadiLaboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Bianca BancilaLaboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Moira MarizzoniLaboratory of Biological Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Marta MartinsGeneva Memory Center, Geneva University Hospitals, Geneva, Switzerland.
Aurelien LathuiliereLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
Max SchefflerDivision of Radiology, Geneva University Hospitals, Geneva, Switzerland.
Nicholas J AshtonDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.ORCID 0000-0003-3930-4354
Kaj BlennowDepartment of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden.
Ilse KernDivision of Laboratory Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland.
Miguel FriasDivision of Laboratory Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland.
Valentina GaribottoLaboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Giovanni B FrisoniLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
University of Geneva · CHUniversity Hospital of Geneva · CHCentro San Giovanni di Dio Fatebenefratelli · ITKing's College London · GBSahlgrenska University Hospital · SEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe key Alzheimer's disease (AD) biomarkers are traditionally measured with techniques/exams that are either expensive (amyloid-positron emission tomography (PET) and tau-PET), invasive (cerebrospinal fluid Aβ

methodsParticipants were 200 patients with plasma biomarkers and at least one traditional biomarker collected within 12 months.

resultsOverall, plasma biomarkers significantly correlated with biomarkers assessed through traditional techniques: up to

conclusionThe implementation of plasma biomarkers could save a remarkable proportion of more expensive traditional exams, making the diagnostic workup more cost-effective and improving patient care.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesBiomarkersHumansPeptide FragmentsPositron-Emission Tomographytau ProteinsAmyloid beta-PeptidesBiomarkersPeptide Fragmentstau Proteinsalzheimer's diseaseCSFdementiamemoryPET

Identifiers

PMID37012066
PMCPMC10314086
OpenAlexW4362522071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.