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Record W2615290942 · doi:10.1097/hco.0000000000000421

Revascularization for patients with diabetes mellitus and stable ischemic heart disease

2017· article· en· W2615290942 on OpenAlexaff
G.B. John Mancini, Michael E. Farkouh, Subodh Verma

Bibliographic record

VenueCurrent Opinion in Cardiology · 2017
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsMedicineDiabetes mellitusRevascularizationBypass surgeryMyocardial infarctionCoronary artery diseaseCardiologyInternal medicineStentFractional flow reserveAngioplastyCoronary artery bypass surgeryDiseaseSurgeryIntensive care medicineArteryCoronary angiography

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To provide an update on the management of patients with diabetes mellitus and requiring coronary revascularization. RECENT FINDINGS: Evidence continues to show that patients with diabetes mellitus and ischemic heart disease represent a very high-risk group of patients. Choice of stent appears important for minimizing target lesion and target vessel adverse events with everolimus eluting stents having the best performance, particularly in patients being treated with insulin. The higher risk of adverse angioplasty results in patients with diabetes appears most related to the disease state per se and not necessarily to anatomical complexities. Interestingly, physiologic documentation of nonischemia producing lesions with use of fractional flow reserve appears less reassuring in this setting of aggressive and rapid atherosclerosis progression, particularly if myocardial infarction has occurred previously, than in patients without diabetes. Coronary artery bypass surgery in patients with appropriate anatomy and diabetes continues to emerge in many analyzes as the optimal, long-term therapy. IMPLICATIONS: The treatment of diabetes per se, advances in stent technology and optimization of coronary artery bypass techniques are all occurring in parallel making it very critical for the design of modern era trials that keep pace with these advances. Currently, in patients with appropriate anatomy who are willing candidates, bypass surgery remains the optimal, long-term therapeutic option.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.033
GPT teacher head0.327
Teacher spread0.295 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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