Evidence map›Paper›PMID 33594741›Full record

ArticlePharmaceutical statistics2021

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.

Florian Lasch, Lorenzo Guizzaro, Lukas Aguirre Dávila, Kirsten Müller-Vahl, Armin Koch

Open access · hybridAbstract read
In one paragraph

Article in Pharmaceutical statistics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Florian LaschHannover Medical School, Hannover, Germany.ORCID https://orcid.org/0000-0002-4889-0212
Lorenzo GuizzaroEuropean Medicines Agency, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0002-0390-270X
Lukas Aguirre DávilaPaul-Ehrlich-Institut, Langen, Germany.
Kirsten Müller-VahlHannover Medical School, Hannover, Germany.
Armin KochHannover Medical School, Hannover, Germany.ORCID https://orcid.org/0000-0003-1401-3219
Medizinische Hochschule Hannover · DEEuropean Medicines Agency · NLPaul Ehrlich Institut · DE

Funding

Medizinische Hochschule Hannover
6 · The paper itself

Abstract

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.

Indexed as

Computer SimulationMental HealthPhysical DistancingRandomized Controlled Trials as TopicResearch DesignCannabidiolCOVID-19Data Interpretation, StatisticalDronabinolDrug CombinationsEndpoint DeterminationHumansSample SizeSeverity of Illness IndexTic DisordersTicsCannabidiolDronabinolDrug CombinationsnabiximolsCOVID-19powerrisk assessmentsimulation studyYale Global Tic Severity Scale

Identifiers

PMID33594741
PMCPMC8014297
OpenAlexW3129272242

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.