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Record W2980298807 · doi:10.1002/acn3.50897

α‐Synuclein RT‐QuIC assay in cerebrospinal fluid of patients with dementia with Lewy bodies

2019· article· en· W2980298807 on OpenAlexaff
Matilde Bongianni, Anna Ladogana, Stefano Capaldi, Sigrid Klotz, Simone Baiardi, Annachiara Cagnin, Daniela Perra, Michele Fiorini, Anna Poleggi, Giuseppe Legname, Tatiana Cattaruzza, Francesco Janes, Massimo Tabaton, Bernardino Ghetti, Salvatore Monaco, Gábor G. Kovács, Piero Parchi, Maurizio Pocchiari, Gianluigi Zanusso

Bibliographic record

VenueAnnals of Clinical and Translational Neurology · 2019
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsOntario Brain InstituteUniversity of TorontoUniversity Health Network
FundersNational Institute on AgingRegione del VenetoMinistero della Salute
KeywordsMedicineDementia with Lewy bodiesCerebrospinal fluidDementiaPathologyDisease

Abstract

fetched live from OpenAlex

We applied RT-QuIC assay to detect α-synuclein aggregates in cerebrospinal fluid (CSF) of patients with suspected Creutzfeldt-Jakob disease who had a neuropathological diagnosis of dementia with Lewy bodies (DLB) (n = 7), other neurodegenerative diseases with α-synuclein mixed pathology (n = 20), or without Lewy-related pathology (n = 49). The test had a sensitivity of 92.9% and specificity of 95.9% in distinguishing α-synucleinopathies from non-α-synucleinopathies. When performed in the CSF of patients with DLB (n = 36), RT-QuIC was positive in 17/20 with probable DLB, 0/6 with possible DLB, and 0/10 with Alzheimer disease. These results indicate that RT-QuIC for α-synuclein is an accurate test for DLB diagnosis.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.333
Teacher spread0.288 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations178
Published2019
Admission routes1
Has abstractyes

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