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Record W2114267054 · doi:10.1503/cmaj.070335

Sleep and aging: 2. Management of sleep disorders in older people

2007· review· en· W2114267054 on OpenAlexvenueno aff
Norman Wolkove, O. Elkholy, Marc Baltzan, M J Palayew

Bibliographic record

VenueCanadian Medical Association Journal · 2007
Typereview
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNarcolepsyObstructive sleep apneaRestless legs syndromeLevodopaExcessive daytime sleepinessPramipexoleSleep disorderCarbidopaInsomniaModafinilSleep hygieneAnesthesiaPsychiatryInternal medicineDiseaseParkinson's disease

Abstract

fetched live from OpenAlex

The treatment of sleep-related illness in older patients must be undertaken with an appreciation of the physiologic changes associated with aging. Insomnia is common among older people. When it occurs secondary to another medical condition, treatment of the underlying disorder is imperative. Benzodiazepines, although potentially effective, must be used with care and in conservative doses. Daytime sedation, a common side effect, may limit use of benzodiazepines. Newer non-benzodiazepine drugs appear to be promising. Rapid eye movement (REM) sleep behaviour disorder can be treated with clonazepam, levodopa-carbidopa or newer dopaminergic agents such as pramipexole. Sleep hygiene is important to patients with narcolepsy. Excessive daytime sleepiness can be treated with central stimulants; cataplexy may be improved with an antidepressant. Restless legs syndrome and periodic leg-movement disorder are treated with benzodiazepines or dopaminergic agents such as levodopa-carbidopa and, more recently, newer dopamine agonists. Treatment of obstructive sleep apnea includes weight reduction and proper sleep positioning (on one's side), but may frequently necessitate the use of a continuous positive air-pressure (CPAP) device. When used regularly, CPAP machines are very effective in reducing daytime fatigue and the sequelae of untreated obstructive sleep apnea.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.302
Teacher spread0.292 · 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.

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

Citations93
Published2007
Admission routes1
Has abstractyes

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