scholarly journals Model‐Based Meta‐Analysis Compares DAS28 Rheumatoid Arthritis Treatment Effects and Suggests an Expedited Trial Design for Early Clinical Development

Author(s):  
Tarek A. Leil ◽  
Yasong Lu ◽  
Marion Bouillon‐Pichault ◽  
Robert Wong ◽  
Miroslawa Nowak
2009 ◽  
Vol 11 (1) ◽  
pp. 99-108 ◽  
Author(s):  
Mark Stroh ◽  
Carol Addy ◽  
Yunhui Wu ◽  
S. Aubrey Stoch ◽  
Nazaneen Pourkavoos ◽  
...  

2013 ◽  
Vol 53 (5) ◽  
pp. 419-430
Author(s):  
Marina Amaral de Ávila Machado ◽  
Alessandra Almeida Maciel ◽  
Lívia Lovato Pires de Lemos ◽  
Juliana Oliveira Costa ◽  
Adriana Maria Kakehasi ◽  
...  

2021 ◽  
Vol 16 ◽  
Author(s):  
Thijs van Iersel ◽  
Jocelyn Courville ◽  
Cathalijne van Doorne ◽  
Remco A. Koster ◽  
Christina Fawcett

Background: It is increasingly recognized that patients should be involved in the design of clinical trials. However, there is a lack in agreement of what patient-centricity means. Methods: In this article a Patient Motivation Pyramid based on Maslow’s theory of human motivation is introduced as a tool to identify patient needs. This pyramid is used to make a comprehensive overview of options to implement patient-centric trial design. The Pyramid with the described options can help to identify patient-centric activities suitable for a given drug development. The current article further describes potential benefits of patient-centric trial designs with an emphasis on early clinical development. Especially in early clinical development during which trials have many assessments per patient, and the safety and clinical efficacy are uncertain, patient-centric trial design can improve feasibility. Finally, we present three case examples on patient-centric trial design. The first example is seeking patient input on the trial design for a First-in-Human trial which includes patients with Immune Thrombocytopenic Purpura. The second example is the use of a video link for home dosing. The final example is the use of digital medicine in a trial in heart failure patients. Results: A comprehensive overview of patients’ needs can be accomplished by building a Patient Motivation Pyramid as a tool. Patient input can lead to improved endpoints, improved feasibility, better recruitment, less dropout, less protocol amendments, and higher patient satisfaction. The use of digital medicine can lead to a trial design with much less visits to the clinical research center in early clinical development, and in a later development phase even to a complete virtual trial. Conclusion: We recommend using the Patient Motivation Pyramid as structural approach for identifying elements of patient-centricity. Secondly we recommend to start using patient-centric approaches in an early phase of the medicine’s lifecycle.


2017 ◽  
Vol 102 (6) ◽  
pp. 1006-1016 ◽  
Author(s):  
T Checchio ◽  
S Ahadieh ◽  
P Gupta ◽  
J Mandema ◽  
L Puig ◽  
...  

2021 ◽  
pp. 026921552110355
Author(s):  
Chun-De Liao ◽  
Hung-Chou Chen ◽  
Shih-Wei Huang ◽  
Tsan-Hon Liou

Objective: Rheumatoid arthritis and age are associated with high sarcopenia risk. Exercise is an effective treatment for preventing muscle mass loss in older adult populations. It remains unclear whether exercise affects muscle mass in people with rheumatoid arthritis. Thus, this meta-analysis investigated the effect of exercise on muscle mass gain in patients with rheumatoid arthritis. Data sources: PubMed, EMBASE, the Cochrane Library, the Physiotherapy Evidence Database (PEDro), the China Knowledge Resource Integrated Database, and Google Scholar were systematically searched until June 2021. Methods: The present study was conducted according to the guidelines recommended by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis. Randomized controlled trials (RCTs) that reported the effects of exercise on muscle mass for rheumatoid arthritis were identified. The included RCTs were subject to meta-analysis and risk of bias assessment. Subgroup and random-effects meta-regression analyses were performed to identify any heterogeneity ( I2) of treatment effects across studies. Results: We included nine RCTs with a median PEDro score of 6/10 (range: 4/10–8/10). The weighted mean effect size for muscle mass was 0.77 (95% CI: 0.30–1.24; P = 0.001; I2 = 77%). Meta-regression analyses indicated that the disease duration significantly explained variance of treatment effects across studies (β = −0.006, R2 = 69.7%, P = 0.005). Conclusions: Exercise therapy effectively increased muscle mass in patients with rheumatoid arthritis. Treatment effects may be attenuated in those who have had rheumatoid arthritis for a relatively long time.


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