Quality of Life and Weight Variation during Androgen Deprivation Therapy in Patients with High-Risk Prostate Cancer: Long-Term Data from a Phase III Trial
Notice bibliographique
Résumé
We assessed the impact of weight (wt) variation on quality of life (QoL). Using data from a Phase III trial in high-risk prostate cancer (HRPC) and based on Patient Reported Outcomes (PRO), we compared long-term QoL between HRPC patients (pts) with wt gain or loss during initial androgen deprivation therapy (ADT). From 10/2000 to 01/2008, 630 pts were randomized to 36 (310 pts) vs. 18 months (m) (320 pts) of ADT. Wt was measured at baseline and regularly during ADT. We assessed QoL by the validated EORTC 30 items questionnaire regrouped into 9 scales. PRO was measured up to 6.5 and 7 years for pts receiving 18 and or 36 m of ADT, respectively. All items and scales scores were linearly transformed to a 0 to100 points scale. We estimated means and standard deviation of items and scales for each group at each time point. We analyzed all items and scales scores with general linear model with repeated measures to evaluate changes between pts who gain vs. lost wt over time, in both ADT groups. P- value <0.01 was considered statistically significant to account for multiple comparisons and a difference in mean scores of ≥10 points was considered clinically relevant. 311/630 pts were retained for the analysis. Reasons for exclusion: not exact dose of ADT (96), no wt at baseline (89) or at the end of ADT (130), no QoL at baseline or at 6 m (4). During ADT course, 209/311 (67.2%) pts gained and 102/311 (32.8%) lost wt. There was no significant difference in the mean ± SD wt gain at the end of ADT in pts receiving 36- or 18 m (2.57 ± 5.39 vs. 1.93 ± 4.22, p = 0.27). Wt gain over 2 kg was similar between cohorts (50% vs. 52.8%, p = 0.62), but wt gain over 4 kg was lower in the18 m cohort (27.1% vs. 37.4%, p = 0.056). Wt loss was not significant between cohorts, irrespective of amount lost. Wt loss impacted on overall survival in the 36 m cohort [HR (95% CI) = 1.93 (1.24-2.99), p = 0.004], although no significant difference was seen in the 18 m cohort [HR = 1.18 (0.81-1.72), p = 0.39]. Considering the unified 30 items, overall adherence to QoL questionnaires was 83.1% (2887/3309). It was 93.6% vs. 95.9% at baseline and 70.7% vs 87.0% at 5 years, for 18 vs. 36 m, respectively. Wt loss impacted on QoL. Significant differences (p<0.01) were observed for 8 items and 2 scales related to overall QoL, including emotional, cognitive, fatigue and appetite loss, and financial difficulties in the 18 m cohort. Similarly, significant differences (p<0.01) were observed for 8 items and 6 scales related to physical, role, emotional, cognitive, and dyspnea in the 36 m cohort. Likewise, several items reached clinical relevance in the 18 (overall QoL, memory) and in the 36 m cohort (role, dyspnea, limited physical activity, fatigue). In HRPC pts treated with long-term ADT, wt loss during ADT is associated with poorer outcomes in QoL in several domains and a worst survival in the 36 m cohort.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».