ArticleJournal of clinical outcomes management : JCOM2019
Calculating Risk for Poor Outcomes After Transcatheter Aortic Valve Replacement.
Article in Journal of clinical outcomes management : JCOM, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Case report: combined transcatheter paravalvular leak closure and valve-in-valve transcatheter aortic valve replacement for treatment of severe regurgitation complicating transcatheter aortic valve replacement.European heart journal. Case reports · 2026Article
- Development and Validation of a Predictive Risk Score for Poor Functional Outcome After Transcatheter Aortic Valve Replacement in Elderly Patients.Clinical interventions in aging · 2026Article
- Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study.JMIR aging · 2024Article
- Association between social vulnerability index and admission urgency for transcatheter aortic valve replacement.American heart journal plus : cardiology research and practice · 2024Article
- Ventricular pressure-volume loop and other heart-function metrics can elucidate etiology of failure of TAVI and interventions.REC, interventional cardiologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
objectiveTo outline the tools available to help understand the risk of transcatheter aortic valve replacement (TAVR) and the gaps in knowledge regarding TAVR risk estimation.
methodsReview of the literature.
resultsTwo models developed and validated by the American College of Cardiology can be used to estimate the risk of short-term mortality, a 6-variable in-hospital model designed for clinical use and a 41-variable 30- day model designed primarily for site comparisons and quality improvement. Importantly, neither model should be used to inform the choice of TAVR versus surgical aortic valve replacement. Regarding long-term outcomes, a risk model to estimate risk of dying or having a persistently poor quality of life at 1 year after TAVR has been developed and validated. Factors that most significantly increase a patient's risk for poor outcomes are very poor functional status prior to TAVR, requiring home oxygen, chronic renal insufficiency, atrial fibrillation, dependencies in activities of daily living, and dementia. If a patient has ≥ 2 or 3 major risk factors for a poor outcome, this risk and the uncertainty about the degree of recovery expected after TAVR should be discussed with the patient (and family).
conclusionIt is important to understand the patient factors that most strongly drive risk of poor outcomes after TAVR and use this information to set appropriate expectations for recovery.
Indexed as
Identifiers
31427851PMC6699760What 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.