Systematic Literature Review of Economic Evaluations, Costs/Resource Use, and Quality of Life in Patients with Mantle Cell Lymphoma
Notice bibliographique
Résumé
BACKGROUND: Mantle cell lymphoma (MCL) is a rare and aggressive subtype of non-Hodgkin's lymphoma. While treatment of patients with MCL and their outcomes are previously published, the availability of heath economics evidence is unclear. OBJECTIVE: The aim of this paper was to conduct a comprehensive review of studies relating to economic evaluations, costs and resource use, and health-related quality of life (HRQoL) in patients with MCL. METHODS: Search strategies were designed to capture studies reporting economic or HRQoL outcomes published in the previous 11 years (2007-2018). The following electronic databases were searched: MEDLINE, Embase, NHS Economic Evaluation Database (NHS EED), and EconLit. In addition, we reviewed congress abstracts presented over the previous 2 years (2015 and 2016; where 2017 proceedings had occurred, these were searched instead of 2015). Publications were screened in duplicate by two reviewers and supplementary searches were carried out on health technology assessment websites. Searches were first conducted in October 2017 and updated in March 2018. FINDINGS: The systematic literature review identified 11 economic evaluations (in 16 publications), seven studies reporting data relating to costs or resource use, and five relating to HRQoL. Four economic evaluations presented results for patients with MCL modelled in the first-line setting, while seven modelled patients in the relapsed/refractory setting. The majority of economic evaluations were conducted using a Markov model with three to five health states. Seven studies assessed resource use and reported adverse events as key drivers of increased costs and resource use. Across the five studies reporting HRQoL, disparate measures were used. Two studies reported improvement in Functional Assessment of Cancer Therapy-Lymphoma (FACT-Lym) total scores following treatment and found that clinical response to treatment was associated with improvement in overall HRQoL. CONCLUSIONS AND RELEVANCE: The published economic and HRQoL evidence in MCL, although scarce, reveals that the economic and HRQoL burden associated with MCL is substantial. In highlighting this evidence, this analysis underlines a critical unmet need for more effective treatments with improved outcomes in MCL.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 ».