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Record W2040137868 · doi:10.1517/17425250902873804

Rosiglitazone in Canada: experience in clinical practice

2009· article· en· W2040137868 on OpenAlexaffabout
Beata Patasi, Deborah MacNair, Ryan J Marble, James Conway

Bibliographic record

VenueExpert Opinion on Drug Metabolism & Toxicology · 2009
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsLMC Diabetes & Endocrinology (Canada)University of TorontoDiabetes CanadaUniversity of Ottawa
Fundersnot available
KeywordsRosiglitazoneMedicineSulfonylureaMetforminType 2 diabetesObservational studyDiabetes mellitusFamily medicineClinical PracticeClinical trialType 2 Diabetes MellitusIntensive care medicineInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

BACKGROUND: Type 2 diabetes mellitus is a growing public health concern throughout the world. In North America, most people with type 2 diabetes receive care for their diabetes from a general or family practitioner and so the performance of a new therapeutic agent is best assessed in this setting. The first of a novel new family of oral hypoglycemic agents, rosiglitazone became available in Canada in February 2000. OBJECTIVE AND METHODS: In this article, we discuss an observational, prospective, cohort, open-label study to assess the clinical efficacy and safety of rosiglitazone in a typical type 2 diabetes population receiving care at a family practice setting with several drug therapies and comorbidities. RESULTS/CONCLUSION: During seven and a half years of experience in our clinical practice, rosiglitazone has been shown as a safe and effective treatment for type 2 diabetics on maximal tolerated or therapeutic doses of metformin and sulfonylurea, in a family practice setting.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score0.464

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.040
GPT teacher head0.376
Teacher spread0.336 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2009
Admission routes2
Has abstractyes

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