ArticleFrontiers in cardiovascular medicine2021
Machine Learning-Augmented Propensity Score Analysis of Percutaneous Coronary Intervention in Over 30 Million Cancer and Non-cancer Patients.
Article in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Revascularisation in Patients with Cancer: A Review.European cardiology · 2026Review
- Acute myocardial infarction in patients with cancer: outcomes and P2Y12 inhibition.Journal of thrombosis and thrombolysis · 2025Article
- Percutaneous Coronary Intervention Mortality, Cost, Complications, and Disparities after Radiation Therapy: Artificial Intelligence-Augmented, Cost Effectiveness, and Computational Ethical Analysis.Journal of cardiovascular development and disease · 2023Article
- Machine Learning in Cardio-Oncology: New Insights from an Emerging Discipline.Reviews in cardiovascular medicine · 2023Review
- Interventional Cardio-Oncology: Unique Challenges and Considerations in a High-Risk Population.Current treatment options in oncology · 2023Review
- Coronary Revascularization in Patients With Cancer.Current treatment options in cardiovascular medicine · 2023Review
- Artificial Intelligence-Augmented Propensity Score, Cost Effectiveness and Computational Ethical Analysis of Cardiac Arrest and Active Cancer with Novel Mortality Predictive Score.Medicina (Kaunas, Lithuania) · 2022Article
- EHA Guidelines on Management of Antithrombotic Treatments in Thrombocytopenic Patients With Cancer.HemaSphere · 2022Article
- Fractional Flow Reserve Cardio-Oncology Effects on Inpatient Mortality, Length of Stay, and Cost Based on Malignancy Type: Machine Learning Supported Nationally Representative Case-Control Study of 30 Million Hospitalizations.Medicina (Kaunas, Lithuania) · 2022Article
- Management of Acute Coronary Syndrome in Cancer Patients: It's High Time We Dealt with It.Journal of clinical medicine · 2022Review
- Artificial intelligence-augmented analysis of contemporary procedural, mortality, and cost trends in carcinoid heart disease in a large national cohort with a focus on the "forgotten pulmonic valve".Frontiers in cardiovascular medicine · 2022Article
- Disparities in Peripheral Artery Disease Hospitalizations Identified Among Understudied Race-Ethnicity Groups.Frontiers in cardiovascular medicine · 2021Article
- Percutaneous Coronary Intervention in Patients With Gynecological Cancer: Machine Learning-Augmented Propensity Score Mortality and Cost Analysis for 383,760 Patients.Frontiers in cardiovascular medicine · 2021Article
- Racial and Socioeconomic Disparities in Out-Of-Hospital Cardiac Arrest Outcomes: Artificial Intelligence-Augmented Propensity Score and Geospatial Cohort Analysis of 3,952 Patients.Cardiology research and practice · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.