P08 TEMPORAL TRENDS IN PROGNOSIS OF PATIENTS WITH SMOLDERING MULTIPLE MYELOMA (SMM) WHO MEET CRITERIA FOR BIOMARKER-DEFINED EARLY MULTIPLE MYELOMA (SLIM CRAB POSITIVE MM)
Notice bibliographique
Résumé
Background: Biomarker-defined pts with SMM were included in the diagnostic criteria of multiple myeloma (MM) in a 2014 update by the International Myeloma Working Group (IMWG). This category includes SMM pts with either ≥60% BMPC or a free light chain (FLC) ratio of ≥100 and an involved FLC concentration of ≥100 mg/dl or > 1 MRI-defined ≥5mm focal lesion. The main reason for revising the diagnostic criteria was the data available at that time, which showed a very short time to progression (TTP) to CRAB positive MM (between 9.2 and 15.3 mos), leading to the recommendation to initiate anti-MM therapy in these pts. Objective: To determine whether the prognosis (median time to progression □TTP□ and 2-year risk of progression) of biomarker-defined early MM or “SliM CRAB” positive MM pts has changed over the past decade compared with data previously available for the consensus group. Recent clinical experience suggests that a substantial proportion of pts meeting SliM CRAB MM criteria do not progress to MM within a short period of time. Methods: We performed a comprehensive literature search and meta-analysis, including studies listed in Embase and PubMed (01/01/2010 - 01/11/2022) on SliM CRAB positive pts, including digitizable progression curves that would allow generation of individualized data. We used WebPlotDigitizerTM to digitize published TTP curves and then applied the algorithm described by Guyot et al (2012) in R to obtain individualized patient outcomes. We generated Kaplan-Meier curves and forest plots using random-effects models from the digitized and published data and compared median TTP, 2-year risk of progression, and odds ratios (ORs) for the comparison of 2-year risk of progression between data published before and after the publication of the IMWG consensus. Results: We found 11 recent studies in addition to the six previously available studies with a total of 3482 pts. Our analysis showed longer TTP (median: 30.3 vs. 9.2 mos) and a reduction in 2-year risk of PD (45.5% vs. 86.2%) in pts with ≥60% BMPCs and in pts with a FLCratio ≥ 100 (48.1 vs. 15.3 mos and 31.6% vs. 73.0%, respectively) in more recent compared with earlier studies. Such analyses were not possible for pts with focal lesions defined by MRI because no further studies were published after 2014 (table 1). A meta-analysis using ORs for the 2-year risk of progression in pts with ≥ 60% BMPC showed a significantly higher OR in the two earlier (OR: 27.01, 95% CI 4.49-162.34, p=0.0003) compared to a later report (OR: 3.27, 95% CI 1.37-7.99, p=0.009). Testing for heterogeneity revealed that the two time periods differed significantly in their ORs (I2 =78.6%, p=0.009). Similar results were obtained for pts with a FLCratio ≥100 compared to those with a FLCratio < 100 in early (OR: 7.03, 95% CI 4.34-11.37, p < 0.0001) and recent publications (OR: 2.69, 95% CI 1.77-4.09, p < 0.0001), I2 = 67.8%, p = 0.005. Conclusions and Relevance: We found an approximately 3-fold longer TTP and 50% lower 2-year risk of progression in SMM patients with ≥60% BMPC or FLC ratio ≥ 100 in recent compared to earlier studies. This phenomenon is likely due to improved diagnostic workup with modern skeletal imaging and exclusion of patients with bone lesions. Therefore, routine treatment of patients meeting SliM criteria CRAB (BMPC or FLC ratio) should be initiated only after careful evaluation and documentation of signs of progression.
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| 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 ».