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Record W4415301658 · doi:10.3390/jcdd12100410

Coronary Bifurcation PCI—Part I: Fundamentals

2025· article· en· W4415301658 on OpenAlexaff
Sara Pollanen, Rongras Damrongwatanasuk, Ju Young Bae, Jason Wen, Michael G. Nanna, Abdulla A. Damluji, Mamas Mamas, Elias B. Hanna, Jiun‐Ruey Hu

Bibliographic record

VenueJournal of Cardiovascular Development and Disease · 2025
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsUniversity of Toronto
FundersNational Heart, Lung, and Blood InstituteNational Institute on Aging
KeywordsBifurcationPercutaneous coronary interventionLesionCoronary angiographyNarrativeIntervention (counseling)Narrative review

Abstract

fetched live from OpenAlex

Percutaneous coronary intervention (PCI) of bifurcation lesions remain one of the most technically challenging areas in interventional cardiology. Careful planning and execution are needed to preserve main vessel and side branch patency, with evolving evidence guiding the choice between provisional and two-stent strategies, and between individual techniques. This narrative review, which represents the first installment of a two-part series, synthesizes current knowledge on bifurcation PCI, detailing the anatomical classifications, lesion assessment tools, procedural planning, and execution of techniques including T and Protrusion (TAP), double-kissing (DK) crush, mini-crush, culotte, V-stent, and emerging modifications. We contextualize the choice of strategy within lesion complexity, procedural goals, and patient-specific considerations. This review is intended as a visual, practical, technique-focused reference for interventionalists and interventional trainees involved in the management of bifurcation lesions.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score0.327

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 head0.016
GPT teacher head0.263
Teacher spread0.247 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

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