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Record W2847030778 · doi:10.1097/hco.0000000000000550

Diabetes and multivessel disease

2018· review· en· W2847030778 on OpenAlexaff
Lucas C. Godoy, Vivek Rao, Michael E. Farkouh

Bibliographic record

VenueCurrent Opinion in Cardiology · 2018
Typereview
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsToronto General HospitalUniversity of TorontoHeart and Stroke Foundation
Fundersnot available
KeywordsMedicineDiabetes mellitusDiseaseInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Review the recently published scientific evidence to support the decision-making process of revascularization strategy in patients with diabetes mellitus (DM) and multivessel coronary artery disease (MVD). RECENT FINDINGS: Recently published observational analyses have proven the superiority of coronary artery bypass grafting (CABG) in patients presenting with other comorbidities together with DM, such as renal disease or heart failure. SUMMARY: Significant challenges and controversies surrounded the choice of the appropriate revascularization method in patients with DM and MVD over the last decades. FREEDOM trial was the first adequately powered randomized study to directly compare percutaneous coronary intervention (PCI) versus CABG in the DM population, showing the superiority of CABG in the long-term follow-up. Subsequently, other studies confirmed that CABG is also preferable over PCI in diabetic patients with particular comorbidities, such as renal failure and left ventricular dysfunction, and also in patients with type 1 DM and in the setting of an early acute coronary syndrome. Finally, in 2018, an individual level data meta-analysis reported an expressive reduction in all-cause mortality when comparing CABG versus PCI in patients with DM and MVD enrolled in the most recent clinical trials (hazard ratio 1.44, 95% confidence interval 1.20-1.74, P = 0.0001).

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 score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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 head0.099
GPT teacher head0.401
Teacher spread0.302 · 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

Citations9
Published2018
Admission routes1
Has abstractyes

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