Potential impact of COVID-19 on ongoing clinical trials: a simulation study with the neurological Yale Global Tic Severity Scale based on the CANNA-TICS study.
COVID-19
/ prevention & control
Cannabidiol
/ adverse effects
Computer Simulation
Data Interpretation, Statistical
Dronabinol
/ adverse effects
Drug Combinations
Endpoint Determination
Humans
Mental Health
Physical Distancing
Randomized Controlled Trials as Topic
/ statistics & numerical data
Research Design
/ statistics & numerical data
Sample Size
Severity of Illness Index
Tic Disorders
/ diagnosis
Tics
/ diagnosis
Time Factors
Tourette Syndrome
/ drug therapy
Treatment Outcome
COVID-19
Yale Global Tic Severity Scale
power
risk assessment
simulation study
Journal
Pharmaceutical statistics
ISSN: 1539-1612
Titre abrégé: Pharm Stat
Pays: England
ID NLM: 101201192
Informations de publication
Date de publication:
05 2021
05 2021
Historique:
revised:
21
01
2021
received:
10
11
2020
accepted:
25
01
2021
pubmed:
18
2
2021
medline:
6
5
2021
entrez:
17
2
2021
Statut:
ppublish
Résumé
The COVID-19 pandemic has manifold impacts on clinical trials. In response, drug regulatory agencies and public health bodies have issued guidance on how to assess potential impacts on ongoing clinical trials and stress the importance of a risk-assessment as a pre-requisite for modifications to the clinical trial conduct. This article presents a simulation study to assess the impact on the power of an ongoing clinical trial without the need to unblind trial data and compromise trial integrity. In the context of the CANNA-TICS trial, investigating the effect of nabiximols on reducing the total tic score of the Yale Global Tic Severity Scale (YGTSS-TTS) in patients with chronic tic disorders and Tourette syndrome, the impact of the two COVID-19 related intercurrent events handled by a treatment policy strategy is investigated using a multiplicative and additive data generating model. The empirical power is examined for the analysis of the YGTSS-TTS as a continuous and dichotomized endpoint using analysis techniques adjusted and unadjusted for the occurrence of the intercurrent event. In the investigated scenarios, the simulation studies showed that substantial power losses are possible, potentially making sample size increases necessary to retain sufficient power. However, we were also able to identify scenarios with only limited loss of power. By adjusting for the occurrence of the intercurrent event, the power loss could be diminished to different degrees in most scenarios. In summary, the presented risk assessment approach may support decisions on trial modifications like sample size increases, while maintaining trial integrity.
Identifiants
pubmed: 33594741
doi: 10.1002/pst.2100
pmc: PMC8014297
doi:
Substances chimiques
Drug Combinations
0
Cannabidiol
19GBJ60SN5
Dronabinol
7J8897W37S
nabiximols
K4H93P747O
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
675-691Subventions
Organisme : Medizinische Hochschule Hannover
Informations de copyright
© 2021 The Authors. Pharmaceutical Statistics published by John Wiley & Sons Ltd.
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