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Record W2131168612 · doi:10.1183/09031936.04.00116103

Multiple system atrophy presenting as central sleep apnoea: Fig. 1.—

2004· article· en· W2131168612 on OpenAlexaff
Liam Cormican, Seán Higgins, A Davidson, Robert Howard, A. J. Williams

Bibliographic record

VenueEuropean Respiratory Journal · 2004
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineAtrophyCentral sleep apneaOlivopontocerebellar atrophySleep (system call)Central nervous systemNeuroscienceGliosisPathologyDiseaseApneaDegenerative diseasePolysomnographyInternal medicinePsychology

Abstract

fetched live from OpenAlex

A 61-yr-old male presented with apparent idiopathic central sleep apnoea but after 4 yrs developed features of autonomic, cerebellar and extrapyramidal dysfunction consistent with a diagnosis of multiple system atrophy (MSA). Though central sleep apnoea can occur in multiple sleep apnoea, it is less frequent than obstructive sleep apnoea and occurs in the later stages of the disease. The pathogenesis of MSA involves gliosis and neuronal cell loss in specific areas of the central nervous system. Central sleep apnoea in MSA may be due to the depletion of cholinergic neurons in the arcuate nucleus of the medulla by apoptosis. This is the first description of multiple system atrophy presenting as central sleep apnoea. The current authors believe that multiple system atrophy should be considered in the differential diagnosis of late onset central sleep apnoea and progressive hypoventilation.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0030.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.022
GPT teacher head0.251
Teacher spread0.229 · 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 designCase report
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

Citations49
Published2004
Admission routes1
Has abstractyes

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