Evidence map›Paper›PMID 36800984›Full record

ArticleAlzheimer's research & therapy2023

Comparison of ultrasensitive and mass spectrometry quantification of blood-based amyloid biomarkers for Alzheimer's disease diagnosis in a memory clinic cohort.

Christophe Hirtz, Germain U Busto, Karim Bennys, Jana Kindermans, Sophie Navucet, Laurent Tiers, Simone Lista, Jérôme Vialaret, Laure-Anne Gutierrez, Yves Dauvilliers and 3 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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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

13 authors at 7 institutions in 1 country.

Christophe Hirtz *University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France.
Germain U Busto *Resource and Research Memory Center (CMRR), Department of Neurology, Montpellier University Hospital, 80 avenue Augustin Fliche, 34000, Montpellier, France.
Karim BennysResource and Research Memory Center (CMRR), Department of Neurology, Montpellier University Hospital, 80 avenue Augustin Fliche, 34000, Montpellier, France.
Jana KindermansUniversity of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France.
Sophie NavucetResource and Research Memory Center (CMRR), Department of Neurology, Montpellier University Hospital, 80 avenue Augustin Fliche, 34000, Montpellier, France.
Laurent TiersUniversity of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France.
Simone ListaResource and Research Memory Center (CMRR), Department of Neurology, Montpellier University Hospital, 80 avenue Augustin Fliche, 34000, Montpellier, France.
Jérôme VialaretUniversity of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France.
Laure-Anne GutierrezInstitute for Neurosciences of Montpellier (INM), Univ Montpellier, INSERM, Montpellier, France.
Yves DauvilliersInstitute for Neurosciences of Montpellier (INM), Univ Montpellier, INSERM, Montpellier, France.
Claudine BerrInstitute for Neurosciences of Montpellier (INM), Univ Montpellier, INSERM, Montpellier, France.
Sylvain Lehmann *University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France. sylvain.lehmann@umontpellier.fr.
Audrey Gabelle *Resource and Research Memory Center (CMRR), Department of Neurology, Montpellier University Hospital, 80 avenue Augustin Fliche, 34000, Montpellier, France.
Université de Montpellier · FRInstitute for Neurosciences of Montpellier · FRCentre Hospitalier Universitaire de Montpellier · FRCentre National de la Recherche Scientifique · FRHôpital Saint Eloi · FRInserm · FRInstitute for Regenerative Medicine & Biotherapy · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is a complex neurodegenerative disorder with β-amyloid pathology as a key underlying process. The relevance of cerebrospinal fluid (CSF) and brain imaging biomarkers is validated in clinical practice for early diagnosis. Yet, their cost and perceived invasiveness are a limitation for large-scale implementation. Based on positive amyloid profiles, blood-based biomarkers should allow to detect people at risk for AD and to monitor patients under therapeutics strategies. Thanks to the recent development of innovative proteomic tools, the sensibility and specificity of blood biomarkers have been considerably improved. However, their diagnosis and prognosis relevance for daily clinical practice is still incomplete.

methodsThe Plasmaboost study included 184 participants from the Montpellier's hospital NeuroCognition Biobank with AD (n = 73), mild cognitive impairments (MCI) (n = 32), subjective cognitive impairments (SCI) (n = 12), other neurodegenerative diseases (NDD) (n = 31), and other neurological disorders (OND) (n = 36). Dosage of β-amyloid biomarkers was performed on plasma samples using immunoprecipitation-mass spectrometry (IPMS) developed by Shimadzu (IPMS-Shim Aβ

resultsThe amyloid IPMS-Shim composite biomarker (combining APP

conclusionsOur study confirms the potential usefulness of amyloid plasma biomarkers, especially the IPMS-Shim technology, as a screening tool for early AD patients.

Indexed as

Alzheimer DiseaseAmyloidAmyloid beta-PeptidesBiomarkersHumansPeptide FragmentsProteomicstau ProteinsAmyloidAmyloid beta-PeptidesBiomarkersPeptide Fragmentstau ProteinsAlzheimer’s diseaseBiomarkersDiagnosisIPMSPlasmaSimoa

Identifiers

PMID36800984
PMCPMC9938625
OpenAlexW4321329205

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.