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Record W4415988400 · doi:10.3390/jcdd12110439

Coronary Bifurcation PCI—Part II: Advanced Considerations

2025· review· en· W4415988400 on OpenAlexaff
Rongras Damrongwatanasuk, Sara Pollanen, Ju Young Bae, Jason Wen, Michael G. Nanna, Abdulla A. Damluji, Mamas A. Mamas, Elias B. Hanna, Jiun‐Ruey Hu

Bibliographic record

VenueJournal of Cardiovascular Development and Disease · 2025
Typereview
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsUniversity of Toronto
FundersNational Heart, Lung, and Blood InstituteNational Institute on Aging
KeywordsConventional PCIBifurcationPercutaneous coronary interventionPerspective (graphical)Bifurcation theoryCoronary angiography

Abstract

fetched live from OpenAlex

Performance of percutaneous coronary intervention (PCI) for bifurcation lesions involves complex decision-making informed by anatomic, hemodynamic, technical, and clinical factors. Building on the procedural foundations discussed in the companion paper in this two-part series, this second paper focuses on advanced considerations in bifurcation PCI. Factors associated with side branch (SB) compromise are discussed, including bifurcation angle and distribution of plaque location, along with strategies for SB protection and SB rewiring. Outcomes of landmark randomized controlled trials of provisional versus two-stent approaches, as well as specific two-stent techniques, are summarized. Based on these factors, an algorithmic approach for bifurcation PCI is outlined. Lastly, the use of drug-coated balloons, dedicated bifurcation stents, bioresorbable vascular scaffolds, bioadaptor stents, physiologic testing, intravascular imaging, and other emerging innovations are explored to provide a perspective on the future of bifurcation PCI.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.035
GPT teacher head0.310
Teacher spread0.275 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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