ReviewJournal of thoracic disease2020
Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention.
Review in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06123793 (Assessment of Culprit-SYNTAX Score and No-reflow PIANO Score as Predictors of In-hospital and Short-term Clinical Outcomes in Patients With ST-segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Assessment of Culprit-SYNTAX Score and No-reflow PIANO Score as Predictors of In-hospital and Short-term Clinical Outcomes in Patients With ST-segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction of Hospital Mortality in Patients with ST Segment Elevation Myocardial Infarction: Evolution of Risk Measurement Techniques and Assessment of Their Effectiveness (Review).Sovremennye tekhnologii v meditsine · 2024Pooled it
- Prehospital survival of patients with ST-elevation myocardial infarction requiring out-of-hospital cardiopulmonary resuscitation - a nationwide, real-world observational study.BMC emergency medicine · 2025Observational
- Validation of machine learning-based risk stratification scores for patients with acute coronary syndrome treated with percutaneous coronary intervention.European heart journal. Digital health · 2024Article
- 1-Year Mortality Prediction through Artificial Intelligence Using Hemodynamic Trace Analysis among Patients with ST Elevation Myocardial Infarction.Medicina (Kaunas, Lithuania) · 2024Article
- Prediction models for major adverse cardiovascular events after percutaneous coronary intervention: a systematic review.Frontiers in cardiovascular medicine · 2023Review
- An Optimized Machine Learning Model Accurately Predicts In-Hospital Outcomes at Admission to a Cardiac Unit.Diagnostics (Basel, Switzerland) · 2022Article
- Article
- Erratum to mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention.Journal of thoracic disease · 2020Article
- Current topics in interventional cardiology.Journal of thoracic disease · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mortality risk of ST-segment elevation myocardial infarction (STEMI) patients shows high variability. In order to assess individual risk, a number of scoring systems have been developed and validated. Yet, as treatment approaches evolve over time with improving outcomes, there is a need to build new risk prediction algorithms to maintain/increase prognostic accuracy. One of the most relevant improvements of therapy is primary percutaneous coronary intervention (PCI). We overview the characteristics and discriminative performance of the most studied and some recently constructed mortality risk models that were validated in patients with STEMI who underwent primary PCI.
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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.