2018
DOI: 10.1186/s13063-018-2645-0
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A checklist for clinical trials in rare disease: obstacles and anticipatory actions—lessons learned from the FOR-DMD trial

Abstract: BackgroundTrials in rare diseases have many challenges, among which are the need to set up multiple sites in different countries to achieve recruitment targets and the divergent landscape of clinical trial regulations in those countries. Over the past years, there have been initiatives to facilitate the process of international study set-up, but the fruits of these deliberations require time to be operationally in place. FOR-DMD (Finding the Optimum Steroid Regimen for Duchenne Muscular Dystrophy) is an academ… Show more

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Cited by 41 publications
(40 citation statements)
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“…RCTs would need to increase their sample size by orders of magnitude to be powered to detect difference in variance and allow further analysis. This might be prohibitively expensive in time and money, and it may not even be feasible to recruit enough individuals with the required condition to the trial [35]. In this case, as large a sample size as possible is appropriate, and improved reporting, for example, giving detailed summary data across both trial arms, would allow a trial to be included in a meta-analysis using methods we have described here.…”
Section: Discussionmentioning
confidence: 99%
“…RCTs would need to increase their sample size by orders of magnitude to be powered to detect difference in variance and allow further analysis. This might be prohibitively expensive in time and money, and it may not even be feasible to recruit enough individuals with the required condition to the trial [35]. In this case, as large a sample size as possible is appropriate, and improved reporting, for example, giving detailed summary data across both trial arms, would allow a trial to be included in a meta-analysis using methods we have described here.…”
Section: Discussionmentioning
confidence: 99%
“…Clinical trials (CTs) are pivotal for therapy development. Nonetheless, only a small fringe of RDs have CTs owing to (i) difficulty in patient identification and recruitment; (ii) challenges associated with data obtention and analysis in small populations; and (iii) lack of reliable biomarkers, among others [64][65][66]. AI may provide solutions for these obstacles of CTs in RDs.…”
Section: Clinical Trialsmentioning
confidence: 99%
“…Currently the feasibility of various innovative therapeutic approaches is tested in preclinical or clinical trials. These new methodologies include stem cell therapy, myoblast transfer, utrophin substitution therapy, enhancement of the cellular stress response, transcutaneous electrical nerve stimulation and improved steroid therapy, as well as a variety of direct or indirect genetic approaches including plasmid transfer, viral transfer, naked DNA transfer, mini-dystrophin delivery, stop codon read-through therapy, exon-skipping therapy and CRISPR/Cas9-based partial genome editing [22][23][24]. Potentially dangerous side effects due to de novo dystrophin expression following gene therapy were recently highlighted by the immunological evaluation of exon skipping in the mdx mouse [25].…”
Section: Biomarker Discovery For the Molecular Evaluation Of Muscularmentioning
confidence: 99%