Clinical, humanistic and economic burden associated with recurrence among patients with early-stage cancers: a systematic literature review
Notice bibliographique
Résumé
Introduction: While cancer recurrences have been reported as negatively affecting patients' prognosis and imposing an economic burden to healthcare systems, there is no comprehensive summary of evidence on how frequently recurrence occurs across early-stage cancers. The goal of this study was to assess recurrence rates and their resulting clinical, humanistic and economic burden in patients with early-stage cancers. Methods: A narrative, systematic literature review was conducted including non-interventional studies evaluating adult patients diagnosed with cancer at early-stages (including: melanoma, triple negative breast cancer, non-small cell lung cancer, renal-cell carcinoma, gastric cancer, head and neck cancer, and bladder cancer). Selected studies were identified through electronic database searches, conference proceedings, and grey literature sources. Outcomes of interest included recurrence rates, post-recurrence survival, and the humanistic and economic burden associated with recurrences. Results: Among 82 studies included, 75 reported recurrence rates, eight investigated post-recurrence survival, five evaluated post-recurrence patient-reported outcomes, and seven examined the post-recurrence economic burden. Across most cancer types, recurrences occurred frequently, with later stages at diagnosis being associated with higher recurrence rates and shorter time to recurrence compared to earlier stages at diagnosis. Cancer recurrence was associated with lower survival, reduced health-related quality of life (HRQoL), worsening cancer-related symptoms and higher healthcare resource utilization. These outcomes were also more pronounced among patients diagnosed at later stages. Among cancer survivors, most patients experienced moderate fear of cancer recurrence (FCR). Patients with clinically relevant FCR had worse cancer-related symptoms and reduced HRQoL compared to those without. Direct costs in recurrent patients (predominantly in the form of inpatient and outpatient costs) were the main drivers for the total healthcare costs incurred, irrespective of the cancer types and stages. Conclusion: This study highlights the high recurrence rates experienced by patients diagnosed with early-stage cancer, particularly if diagnosed at later stages (Stage III), and their clinical, humanistic and economic impact. Cancer stage at the time of diagnosis is a key indicator of recurrence risk and post-recurrence outcomes, emphasizing the importance of earlier diagnosis and the need for therapies that prevent recurrences to better mitigate their clinical, humanistic and economic burden.
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 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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,007 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».