Evidence map›Paper›PMID 35912743›Full record

ArticleJournal of Alzheimer's disease : JAD2022

The Clinical Use of Alzheimer's Disease Biomarkers in Patients with Mild Cognitive Impairment: A European Alzheimer's Disease Consortium Survey.

Camilla Caprioglio, Valentina Garibotto, Frank Jessen, Lutz Frölich, Gilles Allali, Frédéric Assal, Giovanni B Frisoni, Daniele Altomare, European Alzheimer’s Disease Consortium (EADC)

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Amyloid PET Imaging: Standard Procedures and Semiquantification.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  8. Plasma biomarkers for Alzheimer's disease: a field-test in a memory clinic.Journal of neurology, neurosurgery, and psychiatry · 2023
    Article
  9. Review
  10. Review
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

9 authors.

Camilla CaprioglioLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
Valentina GaribottoLaboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Frank JessenDepartment of Psychiatry, University Hospital and Medical Faculty, University of Cologne, Cologne, Germany.
Lutz FrölichDepartment of Geriatric Psychiatry, Central Institute for Mental Health, University of Heidelberg, Mannheim, Germany.
Gilles AllaliDivision of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
Frédéric AssalDivision of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
Giovanni B FrisoniLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
Daniele AltomareLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
European Alzheimer’s Disease Consortium (EADC)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advances occurred in the field of Alzheimer's disease (AD) biomarkers and the introduction of a research framework grounded on a biomarker-based definition of AD might have fostered an increased clinical use of AD biomarkers. For this reason, an up-to-date depiction of the clinical use of AD biomarkers is needed.

objectiveTo investigate the clinical use of the main AD biomarkers in patients with mild cognitive impairment (MCI) by examining the beliefs and preferences of professionals (clinicians and biomarker experts) of the European Alzheimer's Disease Consortium (EADC).

methods150 professionals filled in an online survey from May to September 2020. The investigated biomarkers were medial temporal lobe atrophy score (MTA) on structural MRI, typical AD (i.e., temporoparietal and posterior cingulate) hypometabolism on FDG-PET, CSF (Aβ42, p-tau, t-tau), amyloid-PET and tau-PET.

resultsThe frequency of responders reporting a frequent-to-constant use of MTA (77%) is higher than that of those reporting a frequent-to-constant use of the other AD biomarkers (i.e. , CSF: 45%, p = 0.014; FDG-PET: 32%, p < 0.001; amyloid-PET: 8%, p < 0.001; and tau-PET: 2%, p < 0.001). CSF is considered the most valuable biomarker in terms of additional diagnostic value, followed by amyloid-PET, tau-PET, and typical AD hypometabolism on FDG-PET.

conclusionAD biomarkers are widely used across European memory clinics with a clinical research background for the diagnosis of MCI. Overall, we observed that CSF is currently considered as the most useful biomarker, followed by amyloid-PET.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesAtrophyBiomarkersFluorodeoxyglucose F18HumansPeptide FragmentsPositron-Emission Tomographytau ProteinsAmyloid beta-PeptidesBiomarkersFluorodeoxyglucose F18Peptide Fragmentstau ProteinsAlzheimer’s diseaseamyloid-PETAPOEbiomarkerscerebrospinal fluidclinical useFDG-PETmagnetic resonance imagingmild cognitive impairmenttau-PET

Identifiers

PMID35912743
PMCPMC9535580

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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.