ArticleFrontiers in cardiovascular medicine2021
Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery.
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. An erratum has been issued. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction of Complications and Prognostication in Perioperative Medicine: A Systematic Review and PROBAST Assessment of Machine Learning Tools.Anesthesiology · 2024Pooled it
- MVRepairAI: A machine learning-based system to predict surgical methods in mitral valve repair.JTCVS open · 2026Article
- A Reproducible Post-Valve-Replacement EHR Cohort for Comparative AI Studies.Diagnostics (Basel, Switzerland) · 2026Article
- Development and validation of machine learning nomograms for predicting mortality after cardiac valve surgery.Frontiers in medicine · 2026Article
- Artificial Intelligence in Patient Blood Management: A Systematic Review of Predictive, Diagnostic, and Decision Support Applications.Journal of clinical medicine · 2025Review
- Application of artificial intelligence in predicting the results of open-heart surgery: a scoping review.BMC medical informatics and decision making · 2025Article
- Mitral Valve Repair in the Modern Era: Insights into Techniques and Technologies with a Glimpse of the Future.Journal of clinical medicine · 2025Review
- Development and multicenter validation of machine learning models for predicting postoperative pulmonary complications after neurosurgery.Chinese medical journal · 2025Article
- Shaping the future of cardiac interventions and cardiac surgeries: The impact of virtual reality and artificial intelligence.Global cardiology science & practice · 2025Review
- Machine learning-based hybrid risk estimation system (ERES) in cardiac surgery: Supplementary insights from the ASA score analysis.PLOS digital health · 2025Article
- Machine learning-based prediction model for recurrence after radiofrequency catheter ablation in patients with atrial fibrillation.Frontiers in cardiovascular medicine · 2025Article
- Enhancing Trauma Care: A Machine Learning Approach with XGBoost for Predicting Urgent Hemorrhage Interventions Using NTDB Data.Bioengineering (Basel, Switzerland) · 2024Article
- Machine learning models to predict systemic inflammatory response syndrome after percutaneous nephrolithotomy.BMC urology · 2024Article
- Construction of a Diagnostic Model for Small Cell Lung Cancer Combining Metabolomics and Integrated Machine Learning.The oncologist · 2024Article
- Article
- Baroreflex activity through the analysis of the cardio-respiratory variability influence over blood pressure in cardiomyopathy patients.Frontiers in physiology · 2023Article
- A Surgeon's Guide to Artificial Intelligence-Driven Predictive Models.The American surgeon · 2023Article
Corrections and comments
- Erratum issued
- Erratum issued
Authors and funding
11 authors.
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.