MétaCan
Menu
Back to cohort
Record W2789443083 · doi:10.1097/wad.0000000000000243

Circadian Rhythms Disturbances in Alzheimer Disease

2018· review· en· W2789443083 on OpenAlexaff
Ángela Milán-Tomás, Colin M. Shapiro

Bibliographic record

VenueAlzheimer Disease & Associated Disorders · 2018
Typereview
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsUniversity of TorontoUniversity Health NetworkHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsCircadian rhythmMelatoninNeuroscienceDark therapyAlzheimer's diseasePopulationDiseaseMedicineChronobiologySuprachiasmatic nucleusPsychologyInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this review is to provide an overview of the research regarding circadian rhythms in Alzheimer disease (AD). Furthermore, this paper explores the role of melatonin in the pathogenesis of AD and the limitation of trials addressing circadian rhythms disturbances in the AD population. A literature search using Medline with PubMed and Embase was carried out identifying papers focusing on circadian rhythms in AD. Sleep disorders and especially circadian rhythm disturbances are very common in the elderly population but definitely more pronounced in patients with AD. The lack of trials evaluating the management of circadian rhythms disorders in the elderly population and especially in AD should be considered of the utmost importance. Although there is a better understanding about the pathophysiology of AD and its relationship with circadian disorders, further studies in human models need to be conducted.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.057
GPT teacher head0.315
Teacher spread0.258 · 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

Citations21
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueAlzheimer Disease & Associated DisordersSame topicCircadian rhythm and melatoninFrench-language works237,207