Intensive insulin therapy reduced cardiovascular disease in type 1 diabetes
Bibliographic record
Abstract
TherapeuticsMay 1, 2006Intensive insulin therapy reduced cardiovascular disease in type 1 diabetesHertzel C. Gerstein, MDHertzel C. Gerstein, MDMcMaster University, Hamilton, Ontario, Canada (H.C.G.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/ACPJC-2006-144-3-063 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinkedInRedditEmail Source CitationNathan DM, Cleary PA, Backlund JC, et al. Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med. 2005;353:2643-53. https://pubmed.ncbi.nlm.nih.gov/16371630Clinical Impact RatingsGIM/FP/GP: Cardiology: Endocrinology: Reference1 Buse JB, Rosenstock J. Prevention of cardiovascular outcomes in type 2 diabetes mellitus: trials on the horizon. Endocrinol Metab Clin North Am. 2005;34:221-35. [PMID: 15752929] Google Scholar Author, Article, and Disclosure InformationAffiliations: McMaster University, Hamilton, Ontario, Canada (H.C.G.) PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails May 1, 2006Volume 144, Issue 3Page: 63KeywordsAnginaBloodBlood pressureCardiovascular diseasesCholesterolEndocrinologyEpidemiologyGlucoseHbA1cHemoglobinHypertensionInsulinMyocardial infarctionPatientsResearch laboratoriesRevascularizationStrokeType 1 diabetesType 2 diabetes ePublished: 9 March 2020 Issue Published: May 1, 2006 Copyright & PermissionsCopyright © 2006 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".