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Record W2909261189 · doi:10.1097/hco.0000000000000599

Treatment of diabetes and heart failure

2019· review· en· W2909261189 on OpenAlexaff
B. Brochu, Michael Chan

Bibliographic record

VenueCurrent Opinion in Cardiology · 2019
Typereview
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsRoyal Alexandra HospitalUniversity of Alberta
Fundersnot available
KeywordsMedicineMetforminDiabetes mellitusHeart failureType 2 diabetesDiseaseIntensive care medicineLiraglutideDipeptidyl peptidase-4Internal medicineBioinformaticsEndocrinology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Diabetes is a well-recognized risk factor for the development of cardiovascular disease. In recent years, several new glucose-lowering drugs (GLD) have shown improvements in cardiovascular outcomes, renewing interest of cardiovascular specialists in diabetes management. RECENT FINDINGS: Individual studies in the last 5 years have demonstrated the cardiovascular safety of certain dipeptidyl peptidase-4 inhibitors, glucagon-like peptide 1 agonists, and sodium glucose cotransporter 2 inhibitors. Recent meta-analyses have attempted to demonstrate class effects of these medications, but remain driven by several large studies. Other studies have used registry data to show improvements in cardiovascular outcomes in patients receiving new GLD compared with insulin therapy. The cardiovascular benefits of GLD are so attractive that these agents have been applied to patients without diabetes, though these studies have not borne a net clinical benefit in nondiabetic patients. SUMMARY: An evolving body of literature now supports the safety profile of many new GLDs in patients at risk for cardiovascular disease. Several new agents have demonstrated improvements in cardiovascular outcomes and are now recommended as second-line agents after metformin in patients with cardiovascular disease. VIDEO ABSTRACT.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
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 head0.103
GPT teacher head0.391
Teacher spread0.287 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2019
Admission routes1
Has abstractyes

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