Health Utility and Symptom Scores in Patients With Advanced Malignant Pleural Mesothelioma Treated in a Real-World Setting.
Bibliographic record
Abstract
Introduction There is a paucity of real-world associations between EQ-5D-generated health utility scores (HUS), symptoms as measured by the Edmonton Symptom Assessment System (ESAS), and the patient-reported outcomes version of the common terminology criteria for adverse events (pro-CTCAE), and survival in patients with advanced Malignant Pleural Mesothelioma (aMPM). Methods Clinico-demographic variables and treatment information were captured retrospectively in patients diagnosed with aMPM between January 2004 and February 2021 at Princess Margaret Cancer Centre. Quality of life outcomes were measured using HUS, ESAS, and pro-CTCAE scales, by stable versus progressive disease and line-of-treatment states. Survival by mean ESAS scores were analyzed using the Kaplan-Meier method. Results Of the 262 patients, the median age was 69 years (interquartile range: 62-74), 77% were male individuals, 52% were ever-smokers, 67% were the epithelioid-subtype, and 62% received first-line systemic therapy for advanced disease. The mean baseline HUS at diagnosis was 0.68 (95% confidence interval: 0.62-0.74) with most symptoms consisting of pain, dyspnea, and fatigue. Pooled ESAS physical and psychological scores changed significantly with disease state: the mean scores were worst at baseline, improved with stable or responding disease (physical, p < 0.001; psychological, p < 0.001), and worsened at progressive disease (physical: p < 0.001; psychological, p < 0.001). Similar trends were seen in HUS and pro-CTCAE symptom severity/frequency. Patients with high baseline ESAS physical symptom burden had inferior overall survival (median = 8.9 [high] versus 12.6 months [low], p = 0.022). Weak-to-moderate correlations were observed between most ESAS domains and HU and between pro-CTCAE domains and HU. The strongest domain correlations were with well-being, shortness of breath, tiredness, and depression domains. Conclusions Baseline quality of life burden is high in patients with aMPM and is well captured by both EQ-5D and ESAS Individual ESAS and pro-CTCAE domains reported low/moderate correlations with HUS, reflecting the inability of one symptom to predict the entire disease state, thus paving the way for future mapping studies. The baseline physical symptom burden (ESAS) was prognostic of survival.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".