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Record W2140999026 · doi:10.1002/ccd.26237

Embolic protection device use and its association with procedural safety and long‐term outcomes following saphenous vein graft intervention: An analysis from the British Columbia Cardiac registry

2015· article· en· W2140999026 on OpenAlexaffabout
M. Bilal Iqbal, Imad Nadra, Lillian Ding, Anthony Fung, Eve Aymong, Albert W. Chan, Steven Hodge, Anthony Della Siega, Simon D. Robinson

Bibliographic record

VenueCatheterization and Cardiovascular Interventions · 2015
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsKelowna General HospitalRoyal Columbian HospitalSt. Paul's HospitalVancouver General HospitalProvincial Health Services AuthorityVictoria Heart Institute FoundationRoyal Jubilee Hospital
Fundersnot available
KeywordsMedicineTIMIInternal medicinePropensity score matchingMyocardial infarctionCardiologyHazard ratioPercutaneous coronary interventionRevascularizationSurgeryConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND: Embolic protection devices (EPDs) have been designed and introduced to reduce distal embolization and peri-procedural myocardial infarction during saphenous vein graft (SVG) intervention. Current guidelines give a class I recommendation to EPD use during SVG intervention when technically feasible. However, the routine use of these devices has recently been debated. METHODS: We analyzed 1,359 patients undergoing isolated SVG intervention between 2008 and 2013 in the British Columbia Cardiac Registry. We analyzed (a) post-procedural TIMI flow; and (b) target vessel revascularization (TVR) and mortality at 1 and 2 years. RESULTS: EPD use was an independent predictor of post-procedural TIMI 2/3 flow (OR = 2.38, 95% CI: 1.51-3.74, P < 0.001). At 1 year, EPD use was an independent predictor for lower TVR (HR = 0.35, 95% CI: 0.14-0.85, P = 0.021) and a trend towards lower mortality (HR = 0.45, 95% CI: 0.18-1.10, P = 0.082). These associations were lost at 2 years where EPD use was not predictive of mortality (HR = 0.62, 95% CI: 0.33-1.17, P = 0.144) or TVR (HR = 0.70, 95% CI: 0.41-1.17, P = 0.176). These findings were confirmed in propensity-matched and inverse probability treatment weighted analyses. CONCLUSIONS: In this analysis of patients undergoing SVG intervention, EPD use was a strong predictor for improved post-procedural TIMI flow. Whilst EPD use was associated with lower TVR and a trend for lower mortality at 1 year, these associations were lost at 2 years. These findings would appear to support the use of EPD for SVG intervention. © 2015 Wiley Periodicals, Inc.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.271
Teacher spread0.238 · 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 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

Citations14
Published2015
Admission routes2
Has abstractyes

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