Optimal design and analysis of phase I/II clinical trials in multiple sclerosis with gadolinium-enhanced lesions as the endpoint.
Many phase I/II clinical trials in multiple sclerosis use gadolinium-enhanced lesions as the outcome measure. The best scanning interval and analysis for this outcome has not been determined. The objective of this study was to compare timing schemes and analysis techniques in terms of power for phase I/II clinical trials. Data were simulated under four scenarios assuming a negative binomial distribution for the number of new lesions and an exponential distribution for the duration of enhancement. The first scenario assumed an immediate treatment effect on the number of new lesions, while the second scenario assumed a delayed treatment effect. The third scenario assumed a higher proportion of patients had no new lesions, and the final scenario assumed an immediate treatment effect on the duration of enhancement. For each scenario, power for a six-month trial with 100 patients per arm was calculated using 10 analysis strategies. The scanning intervals tested were monthly scans, bimonthly scans and a single end-of-study scan. In addition, cost-effectiveness of each trial design and analysis was compared. Negative binomial regression models for the total number of new lesions were the most powerful analyses under an immediate treatment effect, and repeated measures models with a categorical time effect were the most powerful analyses under a delayed treatment effect. Although monthly scans generally provided most power, this design was also most costly. Designs with fewer scans per patient provide similar power and are more cost-effective. Negative binomial regression models are more powerful than non-parametric approaches.
Healy
Brian C
BC
Partners MS Center, Brigham & Women's Hospital, Brookline, MA, USA. bchealy@partners.org
Ikle
David
D
Macklin
Eric A
EA
Cutter
Gary
G
D017321:Clinical Trials, Phase I as Topic / Q000191:economics; D017322:Clinical Trials, Phase II as Topic / Q000191:economics; D003198:Computer Simulation; D003287:Contrast Media; D003362:Cost-Benefit Analysis; D023381:Endpoint Determination; D005682:Gadolinium; D017048:Health Care Costs; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000191:economics; D018803:Models, Economic; D009103:Multiple Sclerosis / Q000175:diagnosis / Q000188:drug therapy* / Q000191:economics; D011237:Predictive Value of Tests; D012044:Regression Analysis; D012107:Research Design; D013997:Time Factors; D016896:Treatment Outcome
D003287:Contrast Media; D005682:Gadolinium