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Record W2981912529 · doi:10.1093/eurheartj/ehz748.0714

P1968Five-year outcomes in patients with diabetes mellitus treated with biodegradable polymer sirolimus-eluting stents versus durable polymer everolimus-eluting stents

2019· article· en· W2981912529 on OpenAlexaff
Juan F. Iglesias, Dik Heg, Marco Roffi, David Tueller, Jonas Lanz, Fabio Rigamonti, Olivier Müller, Igal Moarof, S Cook, Daniel Weilenmann, Christoph Kaiser, Marco Valgimigli, P. Jueni, Stephan Windecker, Thomas Pilgrim

Bibliographic record

VenueEuropean Heart Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicinePercutaneous coronary interventionConventional PCIMyocardial infarctionInternal medicineSirolimusEverolimusTarget lesionCoronary artery diseaseDiabetes mellitusClinical endpointStentCardiologySurgeryRandomized controlled trialEndocrinology

Abstract

fetched live from OpenAlex

Abstract Background Patients with diabetes mellitus (DM) remain at higher risk for adverse events after percutaneous coronary intervention (PCI) compared with non-diabetic individuals. Among available drug-eluting stents (DES), thin-strut durable polymer everolimus-eluting stents (DP-EES) were shown to provide the best safety and efficacy profile in diabetics. Whether biodegradable polymer DES provide additional long-term clinical benefit compared with DP-EES among diabetic patients remains uncertain. Purpose To compare the long-term performance of ultrathin-strut biodegradable polymer sirolimus-eluting stents (BP-SES) versus DP-EES for PCI in patients with insulin-requiring and non-insulin-requiring DM. Methods We performed a prespecified subgroup analysis of the randomized, multicenter, non-inferiority BIOSCIENCE trial (NCT01443104). Patients with stable coronary artery disease or acute coronary syndrome were randomly assigned to treatment with ultrathin-strut BP-SES or thin-strut DP-EES. Patients were further divided according to diabetic status. The primary endpoint was target lesion failure (TLF), a composite of cardiac death, target-vessel myocardial infarction (MI) and clinically-indicated target lesion revascularization (TLR), within 12 months. Results Among 2'119 patients enrolled between March 2012 and May 2013, 486 (22.9%) presented with DM (insulin-requiring, 33.1%). Compared with non-diabetics, patients with DM were older and had a greater baseline cardiac risk profile, including higher prevalence of hypertension, hypercholesterolaemia, peripheral artery disease, chronic renal failure and prior PCI, coronary artery bypass graft surgery, or stroke. At 5 years, TLF occurred similarly in 74 patients (cumulative incidence, 31.0%) treated with BP-SES and 57 patients (25.8%) treated with DP-EES (RR 1.23; 95% CI 0.87–1.73; p=0.24) in diabetics, and in 124 patients (16.8%) treated with BP-SES and 132 patients (16.8%) treated with DP-EES (RR 0.98; 95% CI 0.77–1.26; p=0.90) in non-diabetics (p for interaction=0.31). Cumulative incidences of cardiac death (14.9% vs. 9.5%; p=0.10), target-vessel MI (11.4% vs. 11.0%; p=0.81), clinically-indicated TLR (16.9% vs. 15.8%; p=0.68), and definite thrombosis (3.0% vs. 2.5%; p=0.63) at 5 years were similar among diabetic patients treated with ultrathin-strut BP-SES or thin-strut DP-EES. Overall, there was no interaction between diabetic status and treatment effect of BP-SES versus DP-EES. Conclusion In a prespecified subgroup analysis of the BIOSCIENCE trial, we found no difference in clinical outcomes throughout five years between diabetic patients treated with ultrathin-strut BP-SES or thin-strut DP-EES. Acknowledgement/Funding BIOSCIENCE was an investigator-initiated trial supported by a dedicated research grant from Biotronik, Bülach, Switzerland

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)0.001
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.250
Teacher spread0.229 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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