Synthesis in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
31 authors.
Seokhun YangDepartment of Internal Medicine and Cardiovascular Center Seoul National University Hospital, Seoul National University College of Medicine Seoul South Korea.
Doyeon HwangDepartment of Internal Medicine and Cardiovascular Center Seoul National University Hospital, Seoul National University College of Medicine Seoul South Korea.
Jinlong ZhangDepartment of Cardiology The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China.ORCID 0000-0003-4326-5087
Jiesuck ParkDepartment of Internal Medicine and Cardiovascular Center Seoul National University Hospital, Seoul National University College of Medicine Seoul South Korea.ORCID 0000-0001-6924-7106
Jun Pil YunDepartment of Internal Medicine and Cardiovascular Center Seoul National University Hospital, Seoul National University College of Medicine Seoul South Korea.ORCID 0000-0002-2403-8033
Joo Myung LeeDivision of Cardiology, Department of Internal Medicine Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul South Korea.ORCID 0000-0002-2178-4014
Chang-Wook NamDepartment of Medicine Keimyung University Dongsan Medical Center Daegu South Korea.ORCID 0000-0002-3370-5774
Eun-Seok ShinDepartment of Cardiology Ulsan University Hospital, University of Ulsan College of Medicine Ulsan South Korea.ORCID 0000-0002-9169-6968
Joon-Hyung DohDepartment of Medicine Inje University Ilsan Paik Hospital Goyang South Korea.ORCID 0000-0001-7966-9564
Shao-Liang ChenDivision of Cardiology, Nanjing First Hospital Nanjing Medical University Nanjing China.ORCID 0000-0002-3887-952X
Tsunekazu KakutaDivision of Cardiovascular Medicine Tsuchiura Kyodo General Hospital Ibaraki Japan.ORCID 0000-0002-4004-5292
Gabor G TothUniversity Heart Centre Graz, Medical University Graz Graz Austria.ORCID 0000-0002-0283-9091
Nils P JohnsonDivision of Cardiology, Department of Medicine, Weatherhead PET Center For Preventing and Reversing Atherosclerosis University of Texas Medical School and Memorial Hermann Hospital Houston TX.ORCID 0000-0002-0897-2301
Abdul HakeemDivision of Cardiovascular Diseases & Hypertension, Robert Wood Johnson Medical School Rutgers University New Brunswick NJ.
Barry F UretskyCentral Arkansas VA Health System/University of Arkansas for Medical Sciences Little Rock AR.ORCID 0000-0001-9423-4702
Yohei HokamaDepartment of Cardiology Tokyo Medical University Hachioji Medical Center Tokyo Japan.ORCID 0000-0002-3130-5283
Nobuhiro TanakaDepartment of Cardiology Tokyo Medical University Hachioji Medical Center Tokyo Japan.ORCID 0000-0002-0117-8949
Hong-Seok LimDepartment of Cardiology Ajou University School of Medicine Suwon South Korea.ORCID 0000-0002-3127-2071
Tsuyoshi ItoDepartment of Cardiology Nagoya City University Graduate School of Medical Sciences Nagoya Japan.
Akiko MatsuoDepartment of Cardiology Kyoto Second Red Cross Hospital Kyoto Japan.ORCID 0000-0002-8448-4158
Lorenzo AzzaliniDivision of Cardiology, Department of Medicine University of Washington Seattle WA.ORCID 0000-0001-9758-0360
Massoud A LeesarDivision of Cardiovascular Diseases University of Alabama Birmingham AL.ORCID 0000-0002-8594-2982
Tara NelemanDepartment of Interventional Cardiology Thoraxcenter, Erasmus University Medical Centre Rotterdam The Netherlands.ORCID 0000-0003-4583-4175
Nicolas M van MieghemDepartment of Interventional Cardiology Thoraxcenter, Erasmus University Medical Centre Rotterdam The Netherlands.ORCID 0000-0002-2732-1205
Roberto DilettiDepartment of Interventional Cardiology Thoraxcenter, Erasmus University Medical Centre Rotterdam The Netherlands.ORCID 0000-0002-2344-6705
Joost DaemenDepartment of Interventional Cardiology Thoraxcenter, Erasmus University Medical Centre Rotterdam The Netherlands.ORCID 0000-0001-8628-1410
Damien CollisonWest of Scotland Regional Heart and Lung Centre, Golden Jubilee National Hospital Glasgow United Kingdom.ORCID 0000-0002-3531-0872
Bon-Kwon KooDepartment of Internal Medicine and Cardiovascular Center Seoul National University Hospital, Seoul National University College of Medicine Seoul South Korea.ORCID 0000-0002-8188-3348
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Background Cardiac death or myocardial infarction still occurs in patients undergoing contemporary percutaneous coronary intervention (PCI). We aimed to identify adverse clinical and vessel characteristics related to hard outcomes after PCI and to investigate their individual and combined prognostic implications. Methods and Results From an individual patient data meta-analysis of 17 cohorts of patients who underwent post-PCI fractional flow reserve measurement after drug-eluting stent implantation, 2081 patients with available clinical and vessel characteristics were analyzed. The primary outcome was cardiac death or target-vessel myocardial infarction at 2 years. The mean age of patients was 64.2±10.2 years, and the mean angiographic percent diameter stenosis was 63.9%±14.3%. Among 11 clinical and 8 vessel features, 4 adverse clinical characteristics (age ≥65 years, diabetes, chronic kidney disease, and left ventricular ejection fraction <50%) and 2 adverse vessel characteristics (post-PCI fractional flow reserve ≤0.80 and total stent length ≥54 mm) were identified to independently predict the primary outcome (all
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.
Clinical and Vessel Characteristics Associated With Hard Outcomes After PCI and Their Combined Prognostic Implications. · full record | OpenQuestion