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Record W3186052749 · doi:10.1016/s1474-4422(21)00176-9

Biomarkers of conversion to α-synucleinopathy in isolated rapid-eye-movement sleep behaviour disorder

2021· review· en· W3186052749 on OpenAlexaff
Mitchell G. Miglis, Charles H. Adler, Elena Antelmi, Dario Arnaldi, Luca Baldelli, Bradley F. Boeve, Matteo Cesari, Irene Dall’Antonia, Nico J. Diederich, Kathrin Doppler, Petr Dušek, Raffaele Ferri, Jean‐François Gagnon, Ziv Gan‐Or, Wiebke Hermann, Birgit Högl, Álex Iranzo, Annette Janzen, Anastasia Kuzkina, Jee‐Young Lee, Klaus L. Leenders, Simon J.G. Lewis, Claudio Liguori, Jun Liu, Christine Lo, Kaylena A. Ehgoetz Martens, Jiří Nepožitek, Giuseppe Plazzi, Federica Provini, Monica Puligheddu, Michal Rolinski, Jan Rusz, Ambra Stefani, Rebekah L. S. Summers, Dallah Yoo, Jennifer Zitser, Wolfgang H. Oertel

Bibliographic record

VenueThe Lancet Neurology · 2021
Typereview
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversity of WaterlooMcGill UniversityMontreal Neurological Institute and HospitalHôpital du Sacré-Cœur de Montréal
FundersNational Center for Advancing Translational SciencesNational Institute of Neurological Disorders and StrokeParkinsonFonds DeutschlandNational Institute on AgingNational Institutes of HealthAgentura Pro Zdravotnický Výzkum České RepublikyParkinson's UK
KeywordsSynucleinopathiesDementia with Lewy bodiesRapid eye movement sleepDiseaseDementiaNeuroscienceParkinson's diseaseAtrophyMedicineREM sleep behavior disorderEye movementAlpha-synucleinPathologyPsychology

Abstract

fetched live from OpenAlex

Patients with isolated rapid-eye-movement sleep behaviour disorder (RBD) are commonly regarded as being in the early stages of a progressive neurodegenerative disease involving α-synuclein pathology, such as Parkinson's disease, dementia with Lewy bodies, or multiple system atrophy. Abnormal α-synuclein deposition occurs early in the neurodegenerative process across the central and peripheral nervous systems and might precede the appearance of motor symptoms and cognitive decline by several decades. These findings provide the rationale to develop reliable biomarkers that can better predict conversion to clinically manifest α-synucleinopathies. In addition, biomarkers of disease progression will be essential to monitor treatment response once disease-modifying therapies become available, and biomarkers of disease subtype will be essential to enable prediction of which subtype of α-synucleinopathy patients with isolated RBD might develop.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.035
GPT teacher head0.319
Teacher spread0.283 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations242
Published2021
Admission routes1
Has abstractno

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Same venueThe Lancet NeurologySame topicParkinson's Disease Mechanisms and TreatmentsFrench-language works237,207