Trial protocol for the validation of the 'Toronto Aortic Stenosis Quality of Life (TASQ) Questionnaire' in patients undergoing surgical aortic valve replacement (SAVR) or transfemoral (TF) transcatheter aortic valve implantation (TAVI): the TASQ registry.
Bibliographic record
Abstract
Background: Patients with severe aortic stenosis (AS) have a reduced life expectancy and quality of life (QoL), owing to advanced age and the presence of multiple comorbidities. Currently, there is no AS-specific QoL measurement tool, which prevents an accurate assessment of how this chronic condition and its treatment affect patients. The Toronto Aortic Stenosis Quality of Life Questionnaire (TASQ) was developed in order to address this deficiency. Methods: The present trial protocol was designed to enable validation of the TASQ, which has been produced in five languages (English, French, German, Italian and Spanish) to increase usability. Patients with severe AS who are undergoing surgical aortic valve replacement (SAVR) or transcatheter aortic valve implantation (TAVI) will be asked to complete the TASQ and, for comparative purposes, the Kansas City Cardiomyopathy Questionnaire and the general health-related QoL Short Form-12 questionnaire. The questionnaires will be completed prior to the intervention, at discharge, as well as at 30 days and 3 months follow-up. A total of 290 patients will be recruited across one Canadian and nine European centres. Overall, the protocol validation aims to include 120 patients undergoing transfemoral TAVI (TF-TAVI), 120 undergoing SAVR and up to 50 being treated medically. The primary objective of the registry is to validate the TASQ in five different languages. The secondary objective is to assess the utility of the TASQ for assessing differences in QoL outcome between patients undergoing TF-TAVI, SAVR or medical management for their AS. Discussion: Validation and roll-out of the TASQ will enable clinicians to capture an accurate assessment of how AS and its management affects the QoL of patients and will help them to determine the most appropriate treatment strategy for individual patients. Trial registration number: NCT03186339.
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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 | 0.062 | 0.065 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.044 | 0.012 |
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".