Validation and reliability of a disease‐specific quality of life measure (the <scp>T</scp>ran<scp>Q</scp>ol) in adults and children with thalassaemia major
Bibliographic record
Abstract
This study aimed to demonstrate the validity, reliability and responsiveness of a new disease-specific quality of life (QoL) questionnaire for children and adults with thalassaemia major, the Transfusion-dependent QoL questionnaire (TranQol). 106 participants (51 adults and 55 children) were recruited from six North American thalassaemia treatment centres with a mean age of 20·7 years (standard deviation [SD] 9, range 7-51 years). The mean total TranQol score was 71 (SD 17, 32-97) on a scale of 0-100. Patients with co-morbidities had significantly lower scores (63 vs. 75, P = 0·001). TranQol scores showed substantial agreement (P < 0·001) with the Health Utilities Index Mark 3 (all patients, r = 0·65), the Pediatric QoL (children, r = 0·77) and the Short Form (36) physical (adults, r = 0·69) and mental summary scores (r = 0·76). In the subgroup who rated their QoL as better, there was a 4·0 point (SD 9·0) improvement in TranQol scores, from baseline of 67·1-71·1 one week later (P = 0·008). Test-retest reliability was excellent (intra-class correlation coefficient, 0·93). The TranQol was valid, with acceptable correlation for all administered measures and was reliable and responsive to change. The TranQol can be incorporated into future studies of thalassaemia major.
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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 | 0.012 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".