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Record W4407406710 · doi:10.1016/j.jtocrr.2025.100802

Health Utility and Symptom Scores in Patients With Advanced Malignant Pleural Mesothelioma Treated in a Real-World Setting

2025· article· en· W4407406710 on OpenAlexaffabout
Abhenil Mittal, Louis Everest, Devalben Patel, Luna Jia Zhan, M. Catherine Brown, Fatemah Zaeimi, Sabine Schmid, Khaleeq Khan, Kristen Dietrich, Karmugi Balaratnam, M. García Pardo de Santayana, Lawson Eng, Adrian G. Sacher, Frances A. Shepherd, Natasha B. Leighl, John Cho, Marc de Perrot, Geoffrey Liu, Penelope A. Bradbury

Bibliographic record

VenueJTO Clinical and Research Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsUniversity Health NetworkOccupational Cancer Research CentrePrincess Margaret Cancer CentreNortheast Cancer Centre
Fundersnot available
KeywordsMesotheliomaMedicineReal world dataAsbestosOncologyPleural diseaseInternal medicinePathologyRespiratory diseaseComputer scienceLungData science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.046
GPT teacher head0.437
Teacher spread0.392 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2025
Admission routes2
Has abstractyes

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