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Record W1991270378 · doi:10.3109/00016480802595724

Surgical intervention represents a feasible option for patients with mild obstructive sleep apnoea

2009· article· en· W1991270378 on OpenAlexaff
Johanna Sahlman, Juha Seppä, Markku Peltonen, Matti Pukkila, Markku Partinen, Henri Tuomilehto

Bibliographic record

VenueActa Oto-Laryngologica · 2009
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsUniversité de Montréal
FundersSuomen Tuberkuloosin Vastustamisyhdistyksen Säätiö
KeywordsMedicineOdds ratioExcessive daytime sleepinessObservational studyIntervention (counseling)Physical therapySleep (system call)Internal medicineAnesthesiaSleep disorderInsomniaPsychiatry

Abstract

fetched live from OpenAlex

CONCLUSIONS: Patients with mild obstructive sleep apnoea (OSA) depict the disease as being detrimental to their health, causing significant symptoms. These patients were found to achieve significant improvements in OSA-related symptoms after surgical intervention. OBJECTIVES: Although the effects of surgical treatment on OSA have been encouraging in many previous studies, little is known about its effects in patients with mild OSA. The aim of our study was to assess the evolution of symptoms experienced by mild OSA patients after surgical intervention. SUBJECTS AND METHODS: This was an observational follow-up study in a university hospital in Finland. The change in daytime and night-time symptoms was assessed by a standardized questionnaire before treatment and after a mean follow-up time of 3 years in both operative and control groups in 81 adult patients with mild OSA. RESULTS: At the follow-up, the control group experienced significantly more daytime sleepiness (p<0.001) compared with the operative group. Adjusted odds ratio (OR) for daytime sleepiness was 0.05 (95% CI 0.01-0.25, p<0.001) in operatively treated patients as compared with control patients, with improvement of witnessed apnoeas (p<0.001) and sleep quality (p=0.033). The OR for intensive snoring was 0.06 (95% CI 0.02-0.22) in the operative group as compared with the control group.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.022
GPT teacher head0.307
Teacher spread0.285 · 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.

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

Citations8
Published2009
Admission routes1
Has abstractyes

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