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Light Therapy for Managing Sleep, Behaviour, and Mood Disturbances in Dementia

2004· review· en· W1528298790 on OpenAlexaff
Dorothy Forbes, Debra Morgan, Janet Bangma, Shelley Peacock, Joy Adamson

Bibliographic record

VenueThe Cochrane Database of Systematic Reviews · 2004
Typereview
Languageen
Field
Topic
Canadian institutionsUniversity of SaskatchewanWestern University
Fundersnot available
KeywordsLight therapyCircadian rhythmDementiaMoodMedicineDark therapyRandomized controlled trialCognitionPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Rest-activity and sleep-wake cycles are controlled by the endogenous circadian rhythm generated by the suprachiasmatic nuclei (SCN) of the hypothalamus. Degenerative changes in the SCN appear to be a biological basis for circadian disturbances in people with dementia, and might be reversed by stimulation of the SCN by light. OBJECTIVES: The review assesses the efficacy of bright light therapy (BLT) in managing sleep, behaviour, mood, and cognitive disturbances associated with dementia. SEARCH STRATEGY: The trials were identified from a search of the Specialized Register of the Cochrane Dementia and Cognitive Improvement Group on 27 January 2004 using the terms "bright light*", "light box*", "light visor*", "dawn-dusk*", phototherapy (MESH), phototherapy, "photo therapy", "light therapy" "light treatment", light*. SELECTION CRITERIA: All relevant, randomized controlled trials in which BLT, at any intensity and duration, was compared with a control group for the effect on managing sleep, behavioural, mood, and cognitive disturbances (as well as changes in institutionalization rates and cost of care) on people with dementia of any degree of severity. DATA COLLECTION AND ANALYSIS: Three reviewers independently assessed the retrieved articles for relevance, methodological quality, and extracted data from the selected studies. The statistically significant differences in changes in outcomes from baseline to end of treatment and from baseline to follow-up between the light therapy and control groups were examined. Each study was summarized using a measure of effect (e.g. mean difference). Owing to lack of homogeneity between studies, their results were not combined. MAIN RESULTS: Five studies met the inclusion criteria. However, only three were included in the analyses because of inappropriate analyses reported or inability to retrieve the required data from the investigators. This review revealed no adequate evidence of the effectiveness of BLT in managing sleep, behaviour, and mood disturbances associated with dementia. REVIEWERS' CONCLUSIONS: There is insufficient evidence to assess the value of BLT for people with dementia. The available studies are of poor quality and further research is required.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewlow
gptno category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewhigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0060.004
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.096
GPT teacher head0.376
Teacher spread0.281 · 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

Labeled directly by 2 models reading the full record.

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

Citations82
Published2004
Admission routes1
Has abstractyes

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