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Enregistrement W4389243235 · doi:10.1182/blood-2023-180829

Systematic Literature Review and Meta-Analysis of Comparative Clinical Evidence Investigating Daratumumab, Lenalidomide, and Dexamethasone (DRd) Versus Bortezomib, Lenalidomide, and Dexamethasone (VRd) As First-Line Treatment for Transplant-Ineligible Newly Diagnosed Multiple Myeloma

2023· article· en· W4389243235 sur OpenAlexaff
Lucio Gordan, Rohan Medhekar, Alex Z. Fu, Abril Oliva Ramirez, Nicolle Bonar, Bao‐Ngoc Nguyen, Michaela Spence, Rebecca K. McTavish, Tim Disher, Shuchita Kaila, A. Patel

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensEVERSANA (Canada)
Organismes subventionnairesnon disponible
Mots-clésLenalidomideMedicineDaratumumabPopulationInternal medicineMultiple myelomaBortezomibOncologyClinical trial

Résumé

récupéré en direct d'OpenAlex

Background: Daratumumab in combination with lenalidomide and dexamethasone (DRd) and bortezomib in combination with lenalidomide and dexamethasone (VRd) are currently the only guideline-recommended preferred regimens for primary treatment of transplant-ineligible (TIE) patients with newly diagnosed multiple myeloma (NDMM). The lack of direct head-to-head trials comparing these two preferred regimens makes it difficult for the treating physicians to select optimal frontline treatment for TIE NDMM patients. A number of network meta-analyses comparing the existing therapies in this patient population have been published; however, these studies have certain limitations such as not sufficiently accounting for heterogeneity among trials (MAIA trial included TIE patients only while SWOG S0777 had a mix of TIE and transplant not intended patients), variable duration of follow-up, inclusion of treatments not used in routine clinical practice in the US, and use of aggregate level data from the pivotal trials. Therefore, the current systematic literature review and meta-analysis (MA) aims to identify and aggregate clinical evidence specifically comparing DRd versus VRd as first-line (1L) treatment for TIE patients with NDMM across a wider evidence base, including indirect treatment comparisons and real-world evidence studies. Methods: The protocol was developed in alignment with the PRISMA for systematic review protocols (PRISMA-P) statement. The Population, Intervention, Comparator, Outcome, Study design (PICOS) framework was used to develop the search strategy and structure the reporting of the eligibility criteria. The search strategy was developed by a medical information specialist and peer reviewed. Ovid MEDLINE ®, Embase, and the Cochrane Library databases were searched from January 2019 to June 2023 along with key congresses (International Myeloma Society, American Society of Hematology, European Hematology Association, American Society of Clinical Oncology) from January 2018 to June 2023. These dates were implemented to identify recent literature and to align with the US Food and Drug Administration (FDA) and European Medicines Agency (EMA) approvals of DRd for TIE NDMM. Study eligibility was assessed according to pre-specified criteria. Randomized clinical trials (RCTs) and adequately adjusted, non-randomized comparative studies comparing DRd versus VRd for treatment of adult TIE patients with NDMM were identified for inclusion. The primary outcome of interest was progression-free survival (PFS). Risk of bias was assessed using the National Institute for Health and Care Excellence (NICE) checklist. The feasibility of conducting a MA of the included studies was assessed. A frequentist approach was conducted for the MA considering the unit of analysis, varying treatment effects, and risk of bias. The study protocol is available on PROSPERO (CRD42023435119). Results: Of 863 records screened, 4 were included (1 publication and 3 conference abstracts), representing 3 unique studies. Two studies were indirect treatment comparisons and 1 was a retrospective chart review. In each study, TIE NDMM patients treated with DRd had a significantly lower risk of progression/death compared to those treated with VRd (Table 1). After qualitatively reviewing the evidence base and assessing between-trial clinical and methodological heterogeneity, it was considered feasible to conduct a MA of PFS including all 3 identified studies. Results from the MA (Figure 1) suggest that patients treated with DRd had a lower risk of progression/death compared to those treated with VRd (hazard ratio: 0.59, 95% confidence interval: [0.42-0.82]). Conclusions: Findings from the MA indicate that DRd is associated with a lower risk of disease progression/death compared to VRd as 1L treatment for TIE patients with NDMM. These findings could help inform the selection of optimal 1L treatment for these patients in the absence of head-to-head clinical trials.

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)0,034
score de la tête « metaresearch » (Gemma)0,081
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,034
Score d'incertitude au seuil0,179

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0340,081
Méta-épidémiologie (sens strict)0,0030,002
Méta-épidémiologie (sens large)0,0160,037
Bibliométrie0,0110,010
Études des sciences et des technologies0,0010,001
Communication savante0,0040,003
Science ouverte0,0030,003
Intégrité de la recherche0,0030,002
Charge utile insuffisante (le modèle a refusé de juger)0,0100,001

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 Opus0,252
Tête enseignante GPT0,435
Écart entre enseignants0,183 · 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'étudeMéta-analyse
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

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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