ReviewNature reviews. Cardiology2014
Risk assessment methods for cardiac surgery and intervention.
Review in Nature reviews. Cardiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 15 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.
A Prospective Trial to Evaluate the Utility of Focused Frailty Interventions on Patients Undergoing Evaluation for Left Ventricular Assist Device (LVAD) Placement
A Prospective Trial to Evaluate the Utility of Focused Frailty Interventions on Patients With Advanced Heart Failure
Who cites it
15 citing papers in PubMed, 28 citations in OpenAlex.
- Regional assessment of availability for transcatheter aortic valve implantation in Sweden: a long-term observational study.European heart journal. Quality of care & clinical outcomes · 2024Observational
- Comprehensive comparative analysis of the prognostic impact of systemic inflammation biomarkers for patients underwent cardiac surgery.Frontiers in immunology · 2023Article
- A benchmark study of convolutional neural networks in fully automatic segmentation of aortic root.Frontiers in bioengineering and biotechnology · 2023Article
- Frailty and perioperative patient-reported disability in patients undergoing cardiac surgery: a pilot study.British journal of anaesthesia · 2022Article
- Modeling the patient mix for risk-adjusted CUSUM charts.Statistical methods in medical research · 2022Article
- A Sneak-Peek into the Physician's Brain: A Retrospective Machine Learning-Driven Investigation of Decision-Making in TAVR versus SAVR for Young High-Risk Patients with Severe Symptomatic Aortic Stenosis.Journal of personalized medicine · 2021Article
- Complex cardiac surgery in a high-risk patient with new-onset severe mitral regurgitation and aorta to right ventricular fistula after transcatheter aortic valve implantation: a case report.European heart journal. Case reports · 2020Article
- Risk Stratification for Transcatheter Aortic Valve Replacement.Cardiology research · 2019Review
- Complexity of preoperative blood pressure dynamics: possible utility in cardiac surgical risk assessment.Journal of clinical monitoring and computing · 2019Observational
- Low ALT blood levels are associated with lower baseline fitness amongst participants of a cardiac rehabilitation program.Journal of exercise science and fitness · 2018Article
- Frailty, Aging, and Cardiovascular Surgery.Anesthesia and analgesia · 2017Review
- Neurological Injury in Intermediate-Risk Transcatheter Aortic Valve Implantation.Journal of the American Heart Association · 2016Observational
- Current outcomes of off-pump coronary artery bypass grafting: evidence from real world practice.Journal of thoracic disease · 2016Review
- Editorial considerations on the new clinical and surgical perspectives of Brazilian cardiology.Arquivos brasileiros de cardiologia · 2015Article
- Continuous evolution of risk assessment methods for cardiac surgery and intervention.Nature reviews. Cardiology · 2015Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surgical risk models estimate operative outcomes while controlling for heterogeneity in 'case mix' within and between institutions. In cardiac surgery, risk models are used for patient counselling, surgical decision-making, clinical research, quality assurance and improvement, and financial reimbursement. Importantly, risk models are only as good as the databases from which they are derived; physicians and investigators should, therefore, be aware of shortcomings of clinical and administrative databases used for modelling risk estimates. The most frequently modelled outcome in cardiac surgery is 30-day mortality. However, results of randomized trials to compare conventional surgery versus transcatheter aortic valve implantation (TAVI) indicate attrition of surgical patients at 2-4 months postoperatively, suggesting that 3-month survival or mortality might be an appropriate procedural end point worth modelling. Risk models are increasingly used to identify patients who might be better-suited for TAVI. However, the appropriateness of available statistical models in this application is controversial, particularly given the tendency of risk models to misestimate operative mortality in high-risk patient subsets. Incorporation of new risk factors (such as previous mediastinal radiation, liver failure, and frailty) in future surgical or interventional risk-prediction tools might enhance model performance, and thereby optimize patient selection for TAVI.
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.