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Record W3206830763 · doi:10.1002/dad2.12242

The global Alzheimer's Association round robin study on plasma amyloid β methods

2021· article· en· W3206830763 on OpenAlexfundno aff
Josef Pannee, Leslie M. Shaw, Magdalena Korecka, Teresa Waligórska, Charlotte E. Teunissen, Erik Stoops, Hugo Vanderstichele, Kimberley Mauroo, Inge M.W. Verberk, Ashvini Keshavan, Pedro Pesini, Leticia Sarasa, María Pascual‐Lucas, Noelia Fandos, José‐Antonio Allué, Erik Portelius, Ulf Andréasson, Ritsuko Yoda, Akinori Nakamura, Naoki Kaneko, Shieh‐Yueh Yang, Huei‐Chun Liu, Stefan Palme, Tobias Bittner, Kwasi G. Mawuenyega, Vitaliy Ovod, James Bollinger, Randall J. Bateman, Yan Li, Jeffrey L. Dage, Erik Stomrud, Oskar Hansson, Jonathan M. Schott, Kaj Blennow, Henrik Zetterberg

Bibliographic record

VenueAlzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · 2021
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceEngineering and Physical Sciences Research CouncilNational Institutes of HealthUK Dementia Research InstituteMarcus och Amalia Wallenbergs minnesfondKnut och Alice Wallenbergs StiftelseVetenskapsrådetEisaiHjärnfondenFamiljen Erling-Perssons StiftelseEuropean CommissionUniversity College LondonBritish Heart FoundationNational Institute on AgingNational Institute for Health and Care ResearchNational Center for Geriatrics and GerontologyCelgeneNederlandse Organisatie voor Wetenschappelijk OnderzoekCentene CorporationEU Joint Programme – Neurodegenerative Disease ResearchAlzheimer's Drug Discovery FoundationZonMwWeston Brain InstituteLunds UniversitetAlzheimer's AssociationStiftelsen för Gamla TjänarinnorAlzheimer NederlandBiogenUniversity of PennsylvaniaJapan Agency for Medical Research and DevelopmentBrightFocus FoundationEli Lilly and CompanyAustralian GovernmentCure Alzheimer's Fund
KeywordsCerebrospinal fluidAlzheimer's diseaseMeasure (data warehouse)Blood plasmaAmyloid betaAmyloid (mycology)AntibodyChemistryMedicinePathologyInternal medicineImmunologyPsychologyDiseaseComputer science

Abstract

fetched live from OpenAlex

INTRODUCTION: Blood-based assays to measure brain amyloid beta (Aβ) deposition are an attractive alternative to the cerebrospinal fluid (CSF)-based assays currently used in clinical settings. In this study, we examined different blood-based assays to measure Aβ and how they compare among centers and assays. METHODS: Aliquots from 81 plasma samples were distributed to 10 participating centers. Seven immunological assays and four mass-spectrometric methods were used to measure plasma Aβ concentrations. RESULTS: Correlations were weak for Aβ42 while Aβ40 correlations were stronger. The ratio Aβ42/Aβ40 did not improve the correlations and showed weak correlations. DISCUSSION: The poor correlations for Aβ42 in plasma might have several potential explanations, such as the high levels of plasma proteins (compared to CSF), sensitivity to pre-analytical sample handling and specificity, and cross-reactivity of different antibodies. Different methods might also measure different pools of plasma Aβ42. We, however, hypothesize that greater correlations might be seen in future studies because many of the methods have been refined during completion of this study.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.421
Teacher spread0.360 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations45
Published2021
Admission routes1
Has abstractyes

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