Ambulatory Management of Obstructive Sleep Apnea without Polysomnography
Bibliographic record
Abstract
Letters4 September 2007Ambulatory Management of Obstructive Sleep Apnea without PolysomnographyC. Frank Ryan, MB, Alan T. Mulgrew, MB, and Najib T. Ayas, MD, MPHC. Frank Ryan, MBFrom University of British Columbia, Vancouver, British Columbia V5Z 1M9, Canada.Search for more papers by this author, Alan T. Mulgrew, MBFrom University of British Columbia, Vancouver, British Columbia V5Z 1M9, Canada.Search for more papers by this author, and Najib T. Ayas, MD, MPHFrom University of British Columbia, Vancouver, British Columbia V5Z 1M9, Canada.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-147-5-200709040-00022 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail IN RESPONSE:We are grateful to Dr. Bloch and colleagues for drawing attention to some important points for discussion regarding our article. We focused exclusively on high-probability patients in order to test our strategy first in patients who are most in need while minimizing the risk for misdiagnosis. Dr. Bloch and colleagues infer that our selection criteria excluded 97% of the patients from the trial (Figure 2). However, many patients could not participate in the trial because of time or distance constraints—not because of our stringent inclusion criteria. The proportion of eligible patients, based only on the characteristics of the ...References1. Whitelaw WA, Brant RF, Flemons WW. Clinical usefulness of home oximetry compared with polysomnography for assessment of sleep apnea. Am J Respir Crit Care Med. 2005;171:188-93. [PMID: 15486338] CrossrefMedlineGoogle Scholar2. Senn O, Brack T, Russi EW, Bloch KE. A continuous positive airway pressure trial as a novel approach to the diagnosis of the obstructive sleep apnea syndrome. Chest. 2006;129:67-75. [PMID: 16424414] CrossrefMedlineGoogle Scholar3. Coppola MP, Lawee M. Management of obstructive sleep apnea syndrome in the home. The role of portable sleep apnea recording. Chest. 1993;104:19-25. [PMID: 8325068] CrossrefMedlineGoogle Scholar4. Young T, Evans L, Finn L, Palta M. Estimation of the clinically diagnosed proportion of sleep apnea syndrome in middle-aged men and women. Sleep. 1997;20:705-6. [PMID: 9406321] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAuthors: C. Frank Ryan, MB; Alan T. Mulgrew, MB; Najib T. Ayas, MD, MPHAffiliations: From University of British Columbia, Vancouver, British Columbia V5Z 1M9, Canada.Disclosures: Grants received: N.T. Ayas (Respironics Inc.), C.F. Ryan (ResMed Corp., Vitalaire Canada Inc.). PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoDiagnosis and Initial Management of Obstructive Sleep Apnea without Polysomnography Alan T. Mulgrew , Nurit Fox , Najib T. Ayas , and C. Frank Ryan Ambulatory Management of Obstructive Sleep Apnea without Polysomnography Konrad E. Bloch , Oliver Senn , Thomas Brack , and Erich W. Russi Metrics 4 September 2007Volume 147, Issue 5Page: 350-351KeywordsAlgorithmsConflicts of interestContinuous positive airway pressureObesityObstructive sleep apneaPolysomnographyRetrospective studiesSafetySleepSleep apnea ePublished: 4 September 2007 Issue Published: 4 September 2007 Copyright & PermissionsCopyright © 2007 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".