Noninvasive ventilation reduced duration of mechanical ventilation and ICU stay more than conventional weaning
Bibliographic record
Abstract
TherapeuticsMarch 1, 2004Noninvasive ventilation reduced duration of mechanical ventilation and ICU stay more than conventional weaningKaren E. Burns, MD, Maureen O. Meade, MDKaren E. Burns, MDMcMaster University, Hamilton, Ontario, Canada (K.E.B., M.O.M.)Search for more papers by this author, Maureen O. Meade, MDMcMaster University, Hamilton, Ontario, Canada (K.E.B., M.O.M.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/ACPJC-2004-140-2-035 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinkedInRedditEmail Source CitationFerrer M, Esquinas A, Arancibia F, et al. Noninvasive ventilation during persistent weaning failure: a randomized controlled trial. Am J Respir Crit Care Med. 2003;168:70-6. https://pubmed.ncbi.nlm.nih.gov/12689847Clinical Impact RatingsCritical Care: Pulmonology: References1 Nava S, Ambrosino N, Clini E, et al. Noninvasive mechanical ventilation in the weaning of patients with respiratory failure due to chronic obstructive pulmonary disease. A randomized, controlled trial. Ann Intern Med. 1998;128:721-8. [PMID: 9556465] Google Scholar2 Girault C, Daudenthun I, Chevron V, et al. Noninvasive ventilation as a systematic extubation and weaning technique in acute-on-chronic respiratory failure: a prospective, randomized controlled study. Am J Respir Crit Care Med. 1999;160:86-92. [PMID: 10390384] Google Scholar3 Chen J, Qiu D, Tao D. [Time for extubation and sequential noninvasive mechanical ventilation in COPD patients with exacerbated respiratory failure who received invasive ventilation]. Zhonghua Jie He He Hu Xi Za Zhi. 2001;24:99-100. [PMID: 11802949] Google Scholar Author, Article, and Disclosure InformationAffiliations: McMaster University, Hamilton, Ontario, Canada (K.E.B., M.O.M.) PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails March 1, 2004Volume 140, Issue 2Page: 35KeywordsAdverse eventsBreathingCaregiversClinical trial reportingCritical careForecastingHemorrhageIntensive care unitsMorbidityNoninvasive ventilationPneumoniaPulmonary diseasesPulmonary medicineRespiratorsSedationSurgeryTracheotomyVisionWeaning ePublished: 9 March 2020 Issue Published: March 1, 2004 Copyright & PermissionsCopyright © 2004 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.001 |
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".