PMID- 37638445 OWN - NLM STAT- MEDLINE DCOM- 20231003 LR - 20231003 IS - 1875-8908 (Electronic) IS - 1387-2877 (Linking) VI - 95 IP - 3 DP - 2023 TI - Unleashing the Power of Bayesian Re-Analysis: Enhancing Insights into Lecanemab (Clarity AD) Phase III Trial Through Informed t-Test. PG - 1059-1065 LID - 10.3233/JAD-230589 [doi] AB - BACKGROUND: Clinical trials targeting Alzheimer's disease (AD) aim to alleviate clinical symptoms and alter the course of this complex neurodegenerative disorder. However, the conventional approach of null hypothesis significance testing (NHST) commonly employed in such trials has inherent limitations in assessing clinical significance and capturing nuanced evidence of effectiveness on a continuous scale. OBJECTIVE: In this study, we conducted a re-analysis of the phase III trial of lecanemab, a recently proposed humanized IgG1 monoclonal antibody with high affinity for Abeta soluble protofibrils, using a Bayesian approach with informed t-test priors. METHODS: To achieve this, we carefully selected trial data and derived effect size estimates for the primary endpoint, the Clinical Dementia Rating Scale-Sum of Boxes (CDR-SB). Subsequently, a series of Bayes Factor analyses were performed to compare evidence supporting the null hypothesis (no treatment effect) versus the alternative hypothesis (presence of an effect). Drawing on relevant literature and the lecanemab phase III trial, we incorporated different minimal clinically important difference (MCID) values for the primary endpoint CDR-SB as prior information. RESULTS: Our findings, based on a standard prior, revealed anecdotal evidence favoring the null hypothesis. Additional robustness checks yielded consistent results. However, when employing informed priors, we observed varying evidence across different MCID values, ultimately indicating no support for the effectiveness of lecanemab over placebo. CONCLUSION: Our study underscores the value of Bayesian analysis in clinical trials while emphasizing the importance of incorporating MCID and effect size granularity to accurately assess treatment efficacy. FAU - Costa, Tommaso AU - Costa T AD - GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy. AD - FOCUSLAB, Department of Psychology, University of Turin, Turin, Italy. AD - Neuroscience Institute of Turin, Turin, Italy. FAU - Premi, Enrico AU - Premi E AD - Stroke Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili, Brescia, Italy. FAU - Liloia, Donato AU - Liloia D AD - GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy. AD - FOCUSLAB, Department of Psychology, University of Turin, Turin, Italy. FAU - Cauda, Franco AU - Cauda F AD - GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy. AD - FOCUSLAB, Department of Psychology, University of Turin, Turin, Italy. AD - Neuroscience Institute of Turin, Turin, Italy. FAU - Manuello, Jordi AU - Manuello J AD - GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy. AD - FOCUSLAB, Department of Psychology, University of Turin, Turin, Italy. LA - eng PT - Clinical Trial, Phase III PT - Journal Article PL - Netherlands TA - J Alzheimers Dis JT - Journal of Alzheimer's disease : JAD JID - 9814863 RN - 12PYH0FTU9 (lecanemab) RN - 0 (Antibodies, Monoclonal, Humanized) SB - IM MH - Humans MH - *Alzheimer Disease/drug therapy MH - Bayes Theorem MH - Research Design MH - Treatment Outcome MH - Antibodies, Monoclonal, Humanized/therapeutic use OTO - NOTNLM OT - Alzheimer's disease OT - Bayes Factor OT - Clarity AD OT - clinical trial OT - drug development OT - informed t priors EDAT- 2023/08/28 06:42 MHDA- 2023/10/03 06:47 CRDT- 2023/08/28 05:27 PHST- 2023/10/03 06:47 [medline] PHST- 2023/08/28 06:42 [pubmed] PHST- 2023/08/28 05:27 [entrez] AID - JAD230589 [pii] AID - 10.3233/JAD-230589 [doi] PST - ppublish SO - J Alzheimers Dis. 2023;95(3):1059-1065. doi: 10.3233/JAD-230589.