Evidence map›Paper›PMID 36518719›Full record

ArticleJACC. Asia2022

Impact of Clinical and Lesion Features on Outcomes After Percutaneous Coronary Intervention in Bifurcation Lesions.

Jeehoon Kang, Francesco Bruno, Tae-Min Rhee, Leonardo De Luca, Jung-Kyu Han, Ovidio de Filippo, Han-Mo Yang, Alessio Mattesini, Kyung Woo Park, Alessandra Truffa and 21 more

Abstract read
In one paragraph

Article in JACC. Asia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

Jeehoon KangDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea.
Francesco BrunoDepartment of Internal Medicine, Città della Salute e della Scienza, Turin, Italy.
Tae-Min RheeDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea.
Leonardo De LucaDepartment of Cardiosciences, San Camillo-Forlanini Hospital, Roma, Italy.
Jung-Kyu HanDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea.
Ovidio de FilippoDepartment of Internal Medicine, Città della Salute e della Scienza, Turin, Italy.
Han-Mo YangDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea.
Alessio MattesiniCardiologia Interventistica AOU Careggi, Florence, Italy.
Kyung Woo ParkDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea.
Alessandra TruffaDivision of Cardiology, Cardinal Massaia, Ast, Italy.
Hyo-Soo KimDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea.
Wojciech WanhaDepartment of Cardiology, Medical University of Silesia, Katowice, Poland.
Hyeon-Cheol GwonDepartment of Cardiology Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Sebastiano GiliDivision of Cardiology, Ospedale Monzino, Milan, Italy.
Woo Jung ChunDepartment of Internal Medicine, Samsung Changwon Hospital, Changwon, Republic of Korea.
Gerard HelftPierre and Marie Curie University, Paris, France.
Seung-Ho HurDepartment of Internal Medicine, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea.
Bernardo CorteseInterventional Cardiology Unit, ASST Fatebenefratelli-Sacco, Milan, Italy.
Seung Hwan HanDepartment of Internal Medicine, Gachon University Gil Hospital, Incheon, Republic of Korea.
Javier EscanedHospital Clínico San Carlos, IDISSC, and Universidad Complutense de Madrid, Madrid, Spain.
Young Bin SongDepartment of Cardiology Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Alaide ChieffoDivision of Cardiology, Ospedale San Raffaele, Milan, Italy.
Ki Hong ChoiDepartment of Cardiology Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Guglielmo GalloneDepartment of Internal Medicine, Città della Salute e della Scienza, Turin, Italy.
Joon-Hyung DohDepartment of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea.
Gaetano De FerrariDepartment of Internal Medicine, Città della Salute e della Scienza, Turin, Italy.
Soon-Jun HongDepartment of Cardiology, Cardiovascular Center, Korea University Anam Hospital, Seoul, Republic of Korea.
Giorgio QuadriDivision of Cardiology, Ospedale di Rivoli, Rivoli, Italy.
Chang-Wook NamDepartment of Internal Medicine, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea.
Bon-Kwon KooDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea.
Fabrizio D'AscenzoDepartment of Internal Medicine, Città della Salute e della Scienza, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bifurcation percutaneous coronary intervention (PCI) is associated with higher risk of clinical events. Objectives: This study aimed to determine clinical and lesion features that predict adverse outcomes, and to evaluate the differential prognostic impact of these features in patients undergoing PCI for bifurcation lesions. Methods: We analyzed 5,537 patients from the BIFURCAT (comBined Insights From the Unified RAIN and COBIS bifurcAtion regisTries) registry. The primary outcome was major adverse cardiac events (MACE) at 2-year follow-up; secondary outcomes included hard endpoints (all-cause death, myocardial infarction) and lesion-oriented clinical outcomes (LOCO) (target-vessel myocardial infarction, target lesion revascularization). The least absolute shrinkage and selection operator (LASSO) model was used for feature selection. Results: During the 2-year follow-up period, MACE occurred in 492 patients (8.9%). The LASSO model identified 5 clinical features (old age, chronic renal disease, diabetes mellitus, current smoking, and left ventricular dysfunction) and 4 lesion features (left main disease, proximal main branch disease, side branch disease, and a small main branch diameter) as significant features that predict MACE. A combination of all 9 features improved the predictive value for MACE compared with clinical and lesion features (area under the receiver-operating characteristics curve: 0.657 vs 0.636 vs 0.581; Conclusions: In bifurcation PCI, 9 features were associated with MACE. Clinical features were predominant predictors for hard endpoints, and lesion features were predominant for predicting LOCO. Clinical and lesion features have distinct values, and both should be considered in bifurcation PCI.

Indexed as

bifurcationclinical featurefeature selectionlesion featurepercutaneous coronary intervention

Identifiers

PMID36518719
PMCPMC9743454

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.