A US Survey Across Seven Early-Stage Cancers Assessing the Humanistic Burden of Recurrence on Patients and Caregivers
Notice bibliographique
Résumé
Patients diagnosed with an early-stage cancer are at risk of recurrence. Although the economic burden of a cancer recurrence is described in the literature, little is known about the humanistic burden of an early-stage cancer recurrence. Therefore, we surveyed patients and caregivers to understand the impact of a first cancer recurrence on patient and caregiver quality of life (QoL). Patients with early-stage bladder, gastric, head and neck (HN), melanoma, non-small cell lung, renal cell, and triple-negative breast cancers (TNBC) that recurred and caregivers of such patients completed a self-administered, online survey exploring QoL impacts. QoL was evaluated using de novo questions and the following instruments: EQ-5D-5L (patients and caregivers), European Organisation for Research and Treatment of Cancer Core Quality of Life questionnaire (patients only), and CareGiver Oncology Quality of Life questionnaire (caregivers only). Patient and caregiver responses and scores were stratified by type of cancer and type of recurrence (locoregional or distant/metastatic). Among patients (N = 202), QoL was found to differ significantly across tumor types at time of survey, with lower scores seen in patients with renal cell carcinoma, gastric cancer, and HN cancer and higher scores seen in patients with melanoma and TNBC. Among caregivers (N = 100), QoL did not differ across tumor types. In both patients and caregivers, decreases in QoL were observed from pre-recurrence to post-recurrence, with greater worsening in QoL seen with distant/metastatic versus locoregional recurrences. Most patients reported worrying and feeling anxious and stressed about their condition. Most caregivers reported worrying about the cared-for person’s cancer getting worse or coming back and that caring for the person was challenging post-recurrence. Our findings demonstrate the importance of preventing recurrences and their negative impact on patients’ and caregivers’ QoL. Early-stage cancer treatments that prevent recurrences can provide better QoL. This study evaluated the quality-of-life (QoL) impacts following a recurrence of an early-stage cancer, focusing on seven different types of cancer: bladder cancer, gastric cancer, head and neck cancer, melanoma, non-small cell lung cancer, renal cell carcinoma, and triple-negative breast cancer. We surveyed both patients who experienced a recurrence of an early-stage cancer and caregivers of such patients, via online survey. Decreases in QoL were observed across all cancer types, with patients diagnosed with renal cell carcinoma, non-small cell lung cancer, gastric cancer, or head and neck cancer reporting the greatest decreases in QoL. When we analyzed patients by type of recurrence, we found that patients with a distant/metastatic first recurrence reported the greatest negative impacts on QoL compared with those with a local/regional first recurrence. Results for caregivers generally mirrored those for patients. The study results demonstrate the importance of preventing early-stage cancer from recurring.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 ».