MétaCan
Menu
Back to cohort
Record W2468339705 · doi:10.7326/acpjc-2006-144-3-063

Intensive insulin therapy reduced cardiovascular disease in type 1 diabetes

2006· article· en· W2468339705 on OpenAlexaffabout
Hertzel C. Gerstein

Bibliographic record

VenueACP Journal Club · 2006
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineType 2 diabetesDiabetes mellitusInternal medicineDiseaseInsulinType 1 diabetesGerontologyFamily medicineEndocrinology

Abstract

fetched live from OpenAlex

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 ...

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)0.001
metaresearch head score (Gemma)0.000
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 score0.345
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.026
GPT teacher head0.284
Teacher spread0.257 · 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

Citations0
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueACP Journal ClubSame topicDiabetes Management and ResearchFrench-language works237,207