ReviewCardiology research2019
Risk Stratification for Transcatheter Aortic Valve Replacement.
Review in Cardiology research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Management of aortic stenosis: a systematic review of clinical practice guidelines and recommendations.European heart journal. Quality of care & clinical outcomes · 2021Pooled it
- Machine Learning for Predicting Mortality Following Transcatheter Aortic Valve Replacement: A Scoping Review of Current Literature.CJC open · 2026Review
- Deep Learning-Derived Body Composition Analysis Predicts Long-Term Mortality After Transcatheter Aortic Valve Replacement.Mayo Clinic proceedings. Digital health · 2026Article
- Long-Term Impact of Frailty on Outcomes Following Alcohol Septal Ablation in Hypertrophic Obstructive Cardiomyopathy.JACC. Advances · 2026Article
- Prognostic Value of Procalcitonin/Albumin Ratio in Predicting Outcomes After Transcatheter Aortic Valve Implantation.Acta Cardiologica Sinica · 2026Article
- Epicardial adipose tissue as an independent predictor of long-term outcome in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement.Clinical research in cardiology : official journal of the German Cardiac Society · 2025Article
- Cost-effectiveness of TAVI in the United Kingdom: a long-term analysis based on 4-year data from the Evolut Low Risk Trial.The European journal of health economics : HEPAC : health economics in prevention and care · 2025Article
- Sex-Associated Differences in Clinical Outcomes After Septal Reduction Therapies in Hypertrophic Cardiomyopathy.Mayo Clinic proceedings · 2024Article
- Impact of a New Preoperative Stratification Based on Cardiac Structural Compromise in Patients with Severe Aortic Stenosis Undergoing Valve Replacement Surgery.Diagnostics (Basel, Switzerland) · 2024Article
- Transcatheter Aortic Valve Implantation: Long-Term Outcomes and Durability.Methodist DeBakey cardiovascular journal · 2023Review
- Predictors Of Post-Operative Negative Outcomes in Patients Undergoing Transcatheter Aortic Valve Implantation.British journal of cardiac nursing · 2022Article
- Tumor necrosis factor alpha-an underestimated risk predictor in patients undergoing transcatheter aortic valve replacement (TAVR)?Journal of clinical laboratory analysis · 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
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Risk assessment models developed from administrative and clinical databases are used for clinical decision making. Since these models are derived from a database, they have an inherent limitation of being as good as the data they are derived from. Many of these models under or overestimate certain clinical outcomes particularly mortality in certain group of patients. Undeniably, there is significant variability in all these models on account of patient population studied, the statistical analysis used to develop the model and the period during which these models were developed. This review aims to shed light on development and application of risk assessment models for cardiac surgery with special emphasis on risk stratification in severe aortic stenosis to select patients for transcatheter aortic valve replacement.
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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.