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Impact of Bleeding and Myocardial Infarction on Mortality in All-Comer Patients Undergoing Percutaneous Coronary Intervention

2020· article· en· W3081423218 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCirculation Cardiovascular Interventions · 2020
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsSt. Michael's HospitalSouthlake Regional Health Center
Fundersnot available
KeywordsMedicinePercutaneous coronary interventionMyocardial infarctionInternal medicineHazard ratioCardiologyAdverse effectMortality rateStentSurgeryConfidence interval

Abstract

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Background: Bleeding and myocardial infarction (MI) after percutaneous coronary intervention are independent risk factors for mortality. This study aimed to investigate the association of all-cause mortality after percutaneous coronary intervention with site-reported bleeding and MI, when considered as individual, repeated, or combined events. Methods: We used the data from the GLOBAL LEADERS trial (GLOBAL LEADERS: A Clinical Study Comparing Two Forms of Anti-Platelet Therapy After Stent Implantation), an all-comers trial of 15 968 patients undergoing percutaneous coronary intervention. Bleeding was defined as Bleeding Academic Research Consortium (BARC) 2, 3, or 5, whereas MI included periprocedural and spontaneous MIs according to the Third Universal Definition. Results: At 2-year follow-up, 1061 and 498 patients (6.64% and 3.12%) experienced bleeding and MI, respectively. Patients with a bleeding event had a 10.8% mortality (hazard ratio [HR], 5.97 [95% CI, 4.76–7.49]; P <0.001), and the mortality of patients with an MI was 10.4% (HR, 5.06 [95% CI, 3.72–6.90]; P <0.001), whereas the overall mortality was 2.99%. Albeit reduced over time, MI and even minor BARC 2 bleeding significantly influenced mortality beyond 1 year after adverse events (HR of MI, 2.32 [95% CI, 1.18–4.55]; P =0.014, and HR of BARC 2 bleeding, 1.79 [95% CI, 1.02–3.15]; P =0.044). The mortality rates in patients with repetitive bleeding, repetitive MI, and both bleeding and MI were 16.1%, 19.2%, and 19.0%, and their HRs for 2-year mortality were 8.58 (95% CI, 5.63–13.09; P <0.001), 5.57 (95% CI, 2.53–12.25; P <0.001), and 6.60 (95% CI, 3.44–12.65; P <0.001), respectively. De-escalation of antiplatelet therapy at the time of BARC 3 bleeding was associated with a lower subsequent bleeding or MI rate, compared with continuation of antiplatelet therapy (HR, 0.32 [95% CI, 0.11–0.92]; P =0.034). Conclusions: The fatal impact of bleeding and MI persisted beyond one year. Additional bleeding or MIs resulted in a poorer prognosis. De-escalation of antiplatelet therapy at the time of BARC 3 bleeding could have a major safety merit. These results emphasize the importance of considering the net clinical benefit including ischemic and bleeding events. Registration: URL: https://www.clinicaltrials.gov . Unique identifier: NCT01813435.

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.

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 score0.047
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.004
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 head0.057
GPT teacher head0.323
Teacher spread0.266 · 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