Withholding intravenous drugs did not improve survival to hospital discharge in out-of-hospital cardiac arrest
Bibliographic record
Abstract
ACP Journal Club16 March 2010Withholding intravenous drugs did not improve survival to hospital discharge in out-of-hospital cardiac arrestIan G. Stiell, MD, MScIan G. Stiell, MD, MScUniversity of Ottawa, Ottawa, Ontario, Canada (I.G.S.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-152-6-201003160-02008 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Source CitationOlasveengen TM, Sunde K, Brunborg C, et al. Intravenous drug administration during out-of-hospital cardiac arrest: a randomized trial. JAMA. 2009;302:2222−9. https://pubmed.ncbi.nlm.nih.gov/19934423Clinical Impact RatingsEmergency Med: Cardiology: Reference1 ECC Committee, Subcommittees and Task Forces of the American Heart Association. 2005 American Heart Association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care. Circulation. 2005;112(24 Suppl):IV1-203. [PMID: 16314375] Google Scholar Author, Article, and Disclosure InformationAuthors: Ian G. Stiell, MD, MScAffiliations: University of Ottawa, Ottawa, Ontario, Canada (I.G.S.)This article was published at Annals.org on 2 March 2010. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics 16 March 2010Volume 152, Issue 6Page: JC3-8KeywordsAdvanced cardiac life supportAmbulancesCardiopulmonary resuscitationDrug administrationDrugsHeartRandomized trialsResuscitationShockSurvival analysis ePublished: 16 March 2010 Issue Published: 16 March 2010 Copyright & PermissionsCopyright © 2010 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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
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".