Importance: Several trials demonstrated the impact of novel agent-based maintenance in newly diagnosed multiple myeloma (NDMM), but there is no current evidence demonstrating the superiority of one regimen over the other, owing to the lack of direct/indirect comparisons.
Objective: To analyze and compare the effectiveness of different maintenance regimens in NDMM via a network meta-analysis.
Data Sources: We performed 2 independent searches in PubMed and Cochrane databases, and then we identified all the records registered after 1999 and on or before November 20, 2017.
Study Selection: By blinded review, we identified prospective phase 3 randomized trials evaluating novel agent-based maintenance in patients with NDMM; the included studies compared at least 2 maintenance approaches; comparators included placebo and no maintenance. From 364 screened records, 11 studies were included.
Data Extraction And Synthesis: We followed (independent extraction) the guidelines provided by the PRISMA Report and the EQUATOR Network. The evidence was synthesized using a network meta-analysis (NMA). To allow comparison of all treatments, no maintenance was selected as common comparator and the effect of placebo was assumed to be the same as no treatment. The best option was identified by a Bayesian consistency model based on hazard ratio (HR), 95% credible interval (CrI), probability of being the best treatment (PbBT), and median ranking distribution (MedR).
Main Outcomes And Measures: Outcomes of interest were progression-free survival (PFS) and overall survival (OS).
Results: Eleven trials and 8 treatments including a total of 5073 participants were included. By PFS analysis, lenalidomide-based regimens (lenalidomide-prednisone, lenalidomide alone) were identified as the most effective options (HR, 0.39 [95% CrI, 0.28-0.53] and 0.47 [95% CrI, 0.39-0.55], respectively; MedR, 1 and 2; overall PbBT, 74%). Four treatments (thalidomide-interferon, thalidomide-bortezomib, bortezomib-prednisone, thalidomide alone) showed an HR in favor of maintenance. By OS analysis, lenalidomide alone was identified as the best option (HR, 0.76; 95% CrI, 0.51-1.16; MedR, 2; PbBT, 38%), followed by bortezomib-thalidomide and bortezomib-prednisone. Similar features were noticed in the restricted network including transplant trials, in the sensitivity analysis, and in most of the prognostic subgroups.
Conclusions And Relevance: Based on PFS and OS results of this NMA, lenalidomide maintenance appears to be the best treatment option, by synthesizing the available evidence of novel agent-based maintenance in the past 20 years.
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http://dx.doi.org/10.1001/jamaoncol.2018.2961 | DOI Listing |
Sci Adv
January 2025
Department of Archaeology and Heritage Studies, Aarhus University, Aarhus, Denmark.
Resilience-the ability of socio-ecological systems to withstand and recover from shocks-is a key research and policy focus. Definitions of resilience differ between disciplines, however, and the term remains inadequately operationalized. Resilience is the outcome of variable behavioral decisions, yet the process itself and the strategies behind it have rarely been addressed quantitatively.
View Article and Find Full Text PDFCurr Med Chem
January 2025
School of Pharmacy, North Sichuan Medical College, Nanchong, 637000, China.
Objectives: Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder, but no drugs can cure this disease. Chalcones possess good antioxidant activity, anti-neuroinflammatory activity, neuroprotective effects, inhibitory effects on Aβ aggregation, and Aβ disaggregation ability. Therefore, chalcones are ideal lead compounds, and the discovery of novel anti-AD agent-based chalcones is necessary.
View Article and Find Full Text PDFHeliyon
January 2025
Universidad de Guadalajara, CUCEI, Av. Revolución 1500, Guadalajara, Jal, Mexico.
Image segmentation through clustering is a widely used technique in computer vision that partitions an image into multiple segments by grouping pixels based on feature similarity. Although effective for certain applications, this approach often struggles with the complexity of real-world images, where noise and random variations can significantly affect feature homogeneity, leading to incorrect pixel classifications. To address these limitations, this paper introduces a novel hybrid image segmentation method that combines an agent-based model with a clustering technique to enhance segmentation accuracy and robustness.
View Article and Find Full Text PDFChina CDC Wkly
December 2024
Department of Biostatistics, School of Public Health, National Vaccine Innovation Platform, Nanjing Medical University, Nanjing City, Jiangsu Province, China.
Introduction: The cost-effectiveness of vaccination strategies plays a crucial role in managing infectious diseases such as influenza within public health systems. This study evaluated the cost-effectiveness of vaccination compliance strategies by comparing an "adherence" strategy, which promoted continuous vaccination uptake, with a "volunteer" strategy through model-based simulations.
Methods: We developed a novel hybrid model that integrates continuous-time agent-based models (ABMs) with a Markov model to simulate vaccination behaviors and disease dynamics at the individual level.
Int J Hematol Oncol Stem Cell Res
October 2024
Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India-570015.
A 60-year-old female presented with abdominal pain, weight loss, and fatigue. Imaging revealed a pancreatic mass, bilateral pleural effusion, ascites, and lytic bony lesions. Investigations confirmed multiple myeloma with lambda light chain disease.
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