Health-related quality of life in the treatment and survivorship phases of breast cancer.
Notice bibliographique
Résumé
e18621 Background: Understanding the health-related quality of life (HRQOL) of breast cancer during treatment and survivorship is important; however, little data are available - particularly for long-term ( > 5 year) survivors. Health utility scores anchored between 0 (death) and 1 (perfect/best possible health) have been shown to be a good proxy index score of the overall HRQOL. The aim of this study was to estimate the utilities in the treatment and survivorship of breast cancer using validated preference-based measures(PBMs). Methods: Women (18 years or older) with history of breast cancer (on/off treatment) were recruited via Love Research Army (LRA), an online community of women engaged in breast cancer research. Members of the LRA were invited to participate via email and women who self-selected to be eligible were asked to complete clinical and demographics form and two generic PBMs - EQ-5D and Short Form-12 (SF-12), and one cancer-specific PBM-European Organization for Research and Treatment of Cancer-8D (EORTC-8D). Descriptive statistics and non-parametric analysis of variance tests were used to examine differences between the survivorship groups. Results: 1,636 women aged 46 ± 10 years were included in the analysis. Mean age at primary diagnosis was 35 ± 10 years and most patients were diagnosed with breast cancer stage 0-2 (n = 1362, 83.25%). For women currently on treatments, mean utility values were: chemotherapy (EQ-5D = 0.61, SF-6D = 0.67,EORTC-8D = 0.69), radiation(EQ-5D = 0.71, SF-6D = 0.67, EORTC-8D = 0.66), hormone replacement therapy (EQ-5D = 0.82,SF-6D = 0.76,EORTC-8D = 0.85), targeted therapy (EQ-5D = 0.77, SF-6D = 0.74, EORTC-8D = 0.82), and surgery (EQ-5D = 0.81,SF-6D = 0.69, EORTC-8D = 0.78). For women diagnosed with arm lymphedema (n = 182,11%), utility values were EQ-5D = 0.79,SF-6D = 0.74, EORTC-8D = 0.82. Women who were ≤ 5 years post-primary diagnosis reported slightly lower utility values (EQ-5D = 0.82,SF-6D = 0.76,EORTC-8D = 0.84) than women who were 6-10 years (EQ-5D = 0.83,SF-6D = 0.76,EORTC-8D = 0.85; p = 0.117) post-primary diagnosis. However, when utilities for women who were ≤ 5 years post-primary diagnosis were compared to women who were 11 to 15 years (EQ-5D = 0.86,SF-6D = 0.79,EORTC-8D = 0.88) and over 15 years (EQ-5D = 0.86,SF-6D = 0.81,EORTC-8D = 0.89) post-primary diagnosis, the difference was statistically significant (p = 0.000). Women who belonged to non-White ethnic groups, had lower levels of education (Bachelors or less) and reported less than USD 50,000 annual income in the previous year reported lower utility values across all time points, after adjusting for age and cancer stage. Conclusions: This study shows that the HRQOL decline in the first five years post-primary breast cancer diagnosis persists for several years into survivorship. Further, women from ethnic minority groups and lower socioeconomic background have lower HRQOL, irrespective of their age and cancer stage.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».