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Enregistrement W4310108249 · doi:10.1182/blood-2022-160070

Assessing the Epidemiology, Treatment Patterns, and Economic Impact of Marginal Zone Lymphoma: A Review of the Literature

2022· review· en· W4310108249 sur OpenAlexaboutno aff
Patrick Squires, Priyanka Saini, Rishabh Pandey, Adam Hall, Katherine Elizabeth Ryland, Monika Raut, Jennifer Prescott

Notice bibliographique

RevueBlood · 2022
Typereview
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSplenic marginal zone lymphomaEpidemiologyMarginal zoneMedicineIncidence (geometry)ChecklistLymphomaSystematic reviewMEDLINEInternal medicineBiologyImmunologySplenectomy

Résumé

récupéré en direct d'OpenAlex

Background Marginal zone lymphoma (MZL) is a heterogenous group of lymphomas caused by malignant transformation of marginal zone B-cells, further classified into three subtypes: extra-nodal marginal zone lymphoma (EMZL), splenic marginal zone lymphoma (SMZL) and nodal marginal zone lymphoma (NMZL). In 2013, 5-year relative survival rates were reported at 88.7%, 79.7% and 76.5% for EMZL, SMZL and NMZL, respectively (US SEER database). Aims and objectives Evidence regarding incidence, treatment pattern, and associated cost for MZL is lacking. This study aims to evaluate the current evidence for epidemiology, treatment patterns, and economic burden associated with MZL. Methods Epidemiology and treatment pattern searches were conducted in Embase and Medline-in-process databases (January 2011-February 2022), by a single reviewer and validated by an independent reviewer; STROBE checklist used for critical appraisal. The economic search also included the Cochrane database (up to February 2022), conducted by two reviewers with a third to resolve discrepancies; Adapted Drummond's checklist used for critical appraisal. Relevant conferences websites were also searched. Reviews focused on adult patients with treatment naïve or relapsed/refractory (r/r) MZL. Results Of the 9089 records retrieved, 91 studies for epidemiology, 32 studies for treatment patterns (RWE: 20, treatment guidelines: 12), and 10 economic studies were included. The studies showed that MZL incidence varied by geographic location (0.5-2.6 per 100,000); and overall incidence of MZL increased over time. The incidence rate was reportedly higher for developing countries vs. western developed countries, older vs. younger patients, and patients of white race vs. other races. Among the MZL population, incidence rate per 100,000 was highest for EMZL/MALT (1.1-1.59), followed by NMZL (0.12-0.83) and SMZL (0.13-0.25). Site-specific incidence per 100,000 was highest for stomach MALT (0.13-0.44). The 5-year relative survival rates for MZL ranged from 61.2-92% and were generally higher in EMZL/MALT patients vs. other subtypes/overall MZL population. Guideline recommendations for patients with MZL consist of a combination of different therapies including radiotherapy, chemotherapy, immunotherapy and surgery. BTK inhibitors (ibrutinib, zanubrutinib), and rituximab-based combinations are recommended in r/r MZL. Analysis of real-world treatment patterns revealed rituximab±chemotherapy was the most prescribed systemic treatment across all lines of therapy. Common 1L non-systemic treatments included surgical resection (17-100%) and radiation therapy (1.2-86.8%). H. pylori eradication therapy was the most common 1L approach for H. pylori +ve gastric MALT patients. Treatment patterns for patients in subsequent lines were sparsely reported. A large US study (n=1162) reported that MZL patients not receiving an NCCN-recommended agent increased by LOT: 1L (11%), 2L (25%), and 3L (29%); 51% of MZL patients also received no systemic therapy. Studies reporting OS/PFS outcomes (n=4) and response rates (n=6) in real-world patients were limited and predominantly in the 1L setting (Table 1). Economic studies covered North America and APAC, assessing different measures of economic burden, in MZL sub-populations. No clear trends were observed for costs or resource use by the line of therapy. Overall cost of treatment and AE management was low for BTKi vs. immunotherapy/chemotherapy. Rituximab+bendamustine was shown to be a cost-effective treatment for MZL in Canada, but in the US it incurred greater costs and healthcare resource utilization vs. rituximab monotherapy - potentially indicative of their differing AE profiles. Conclusion Whilst MZL incidence varies by geography, incidence rates over time indicate a growing patient population, where the disease and economic burden will continue to increase. The 5-year relative survival rates are highest in EMZL/MALT patient subpopulations, but novel treatments are required across sub-types of MZL. Treatment patterns appear generally reflective of current guidelines, but systemic therapy was heavily reliant on rituximab-based treatment options. Evidence from the US reported that the need for novel therapies increases by LOT, but to further characterize real-world outcomes and treatment pathways in MZL (in particular r/r patients), additional studies are required. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,040
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,041

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,040
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0040,004
Bibliométrie0,0210,022
Études des sciences et des technologies0,0000,001
Communication savante0,0030,003
Science ouverte0,0020,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,066
Tête enseignante GPT0,394
Écart entre enseignants0,328 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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