MétaCan
Menu
Back to cohort

Quality of life of patients with obstructive sleep apnea syndrome treated with an intraoral mandibular repositioner

2004· article· en· W2043543345 on OpenAlexaboutno aff
Marco Antônio Cardoso Machado, Lucila Bizari Fernandes do Prado, Luciane Bizari Coin de Carvalho, Silvio Francisco, Ademir Baptista da Silva, Álvaro Nagib Atallah, Gilmar Fernandes do Prado

Bibliographic record

VenueArquivos de Neuro-Psiquiatria · 2004
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineObstructive sleep apneaQuality of life (healthcare)Sleep apneaLife qualityApneaDentistryPhysical therapyAnesthesia

Abstract

fetched live from OpenAlex

BACKGROUND: Obstructive sleep apnea syndrome (OSAS) is a very important and prevalent disease, which is associated with a poor quality of life in many patients. Treatments for OSAS include surgery, Continuous Positive Air way Pressure, and an intraoral mandibular repositioner (IOMR), but the tendency of sleep centers is to emphasize the apnea index, neglecting quality of life as treatment outcome. OBJECTIVE: To verify to what extent treatment with an IOMR improves the OSAS patient's quality of life. METHOD: Eleven male patients aged 34 to 63 years (mean=49) with mild to moderate OSAS were evaluated using the Calgary SAQLI questionnaire applied before and four weeks after treatment with an IOMR. The mandibular repositioners were manufactured individually for each patient with acrylic polymer and equipped with a retentive device to maintain the mandible in a forward position during sleep. RESULTS: Excellent improvement in the quality of life was observed in five patients (45.5%) and excellent improvement in symptoms in 10 (90.9%). CONCLUSION: The systematic use of the IOMR indicates a clear improvement in the global quality of life as well as in the symptoms of patients with OSAS.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.273
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 teacher head, not a consensus.

Study designObservational
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

Citations29
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueArquivos de Neuro-PsiquiatriaSame topicObstructive Sleep Apnea ResearchFrench-language works237,207