Patient values and preferences on transcatheter or surgical aortic valve replacement therapy for aortic stenosis: a systematic review
Bibliographic record
Abstract
OBJECTIVE: To investigate patients' values and preferences regarding aortic valve replacement therapy for aortic stenosis. SETTING: Studies published after transcatheter aortic valve insertion (TAVI) became available (2002). PARTICIPANTS: Adults with aortic stenosis who are considering or have had valve replacement, either TAVI or via surgery (surgical aortic valve replacement, SAVR). OUTCOME MEASURES: We sought quantitative measurements, or qualitative descriptions, of values and preferences. When reported, we examined correlations between preferences and objective (eg, ejection fraction) or subjective (eg, health-related quality of life) measures of health. RESULTS: We reviewed 1348 unique citations, of which 2 studies proved eligible. One study of patients with severe aortic stenosis used a standard gamble study to ascertain that the median hypothetical mortality risk patients were willing to tolerate to achieve full health was 25% (IQR 25-50%). However, there was considerable variability; for mortality risk levels defined by current guidelines, 130 participants (30%) were willing to accept low-to-intermediate risk (≤8%), 224 (51%) high risk (>8-50%) and 85 (19%) a risk that guidelines would consider prohibitive (>50%). Study authors did not, however, assess participants' understanding of the exercise, resulting in a potential risk of bias. A second qualitative study of 15 patients identified the following factors that influence patients to undergo assessment for TAVI: symptom burden; expectations; information support; logistical barriers; facilitators; obligations and responsibilities. The study was limited by serious risk of bias due to authors' conflict of interest (5/9 authors industry-funded). CONCLUSIONS: Current evidence on patient values and preferences of adults with aortic stenosis is very limited, and no studies have enrolled patients deciding between TAVI and SAVR. On the basis of the data available, there is evidence of variability in individual values and preferences, highlighting the importance of well-informed and shared decision-making with patients facing this decision. TRIAL REGISTRATION NUMBER: PROSPERO CRD42016041907.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".