Stable Longitudinal Quality of Life in the SERVE Trial Among Adults With Transposition of the Great Arteries and a Systemic Right Ventricle
Bibliographic record
Abstract
Background: Adults with a transposition anatomy and a systemic right ventricle (RV) face long-term complications that may impact their quality of life (QoL). Few data are available regarding the QoL in this patient group and its evolution over time. Methods: This study was performed in the SERVE trial's (identifier: NCT03049540) prospective cohort of patients (n = 100) with congenitally corrected transposition of the great arteries (TGA) or dextro-TGA after the atrial switch procedure and a longitudinal follow-up of 3 years. We aimed to describe the longitudinal QoL levels and their predictors. QoL was assessed using the Linear Analog Scale. QoL parameters were collected at baseline, after 12 months, and after 36 months, together with clinical parameters and a questionnaire assessing general self-efficacy (GSE). Results: < 0.001) as independent predictors of QoL at baseline. Conclusions: Patients with a systemic RV reported a stable good QoL during 3 years of follow-up. Exercise capacity and self-efficacy were the only independent predictors of QoL. Clinical Trial Registration: NCT03049540.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".