Highly efficient clinical trial designs for reliable screening of under-performing treatments: Application to the COVID-19 Pandemic.
Clin Trials
; 17(5): 483-490, 2020 10.
Article
en En
| MEDLINE
| ID: mdl-32666816
ABSTRACT
BACKGROUND:
The COVID-19 pandemic presents challenges for clinical trials including urgency, disrupted infrastructure, numerous therapeutic candidates, and the need for highly efficient trial and development designs. This paper presents design components and rationale for constructing highly efficient trials to screen potential COVID-19 treatments.METHODS:
Key trial design elements useful in this circumstance include futility hypotheses, treatment pooling, reciprocal controls, ranking and selection, and platform administration. Assuming most of the many candidates for COVID-19 treatment are likely to be ineffective, these components can be combined to facilitate very efficient comparisons of treatments.RESULTS:
Simulations indicate such designs can reliably discard underperforming treatments using sample size to treatment ratios under 30.CONCLUSIONS:
Methods to create very efficient clinical trial comparisons of treatments for COVID-19 are available. Such designs might be helpful in the pandemic and should be considered for similar needs in the future.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Neumonía Viral
/
Ensayos Clínicos como Asunto
/
Infecciones por Coronavirus
/
Atención a la Salud
/
Betacoronavirus
Tipo de estudio:
Clinical_trials
/
Diagnostic_studies
/
Screening_studies
Límite:
Humans
Idioma:
En
Revista:
Clin Trials
Asunto de la revista:
MEDICINA
/
TERAPEUTICA
Año:
2020
Tipo del documento:
Article
País de afiliación:
Estados Unidos