ReviewOrphanet journal of rare diseases2015
The TREAT-NMD advisory committee for therapeutics (TACT): an innovative de-risking model to foster orphan drug development.
Review in Orphanet journal of rare diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- TREAT-NMD advisory committee for therapeutics: Preclinical and clinical learnings from 15 years of TACT.Journal of neuromuscular diseases · 2026Review
- The predictive value of models of neuromuscular disorders to potentiate clinical translation.Disease models & mechanisms · 2022Article
- Establishing a second-generation artificial intelligence-based system for improving diagnosis, treatment, and monitoring of patients with rare diseases.European journal of human genetics : EJHG · 2021Review
- Simvastatin Treatment Does Not Ameliorate Muscle Pathophysiology in a Mouse Model for Duchenne Muscular Dystrophy.Journal of neuromuscular diseases · 2021Article
- Brief Overview of Approaches and Challenges in New Antibiotic Development: A Focus On Drug Repurposing.Frontiers in cellular and infection microbiology · 2021Review
- Moving neuromuscular disorders research forward: from novel models to clinical studies.Disease models & mechanisms · 2020Article
- Mouse models for muscular dystrophies: an overview.Disease models & mechanisms · 2020Review
- Improving translatability of preclinical studies for neuromuscular disorders: lessons from the TREAT-NMD Advisory Committee for Therapeutics (TACT).Disease models & mechanisms · 2020Review
- Recommendations for the design of small population clinical trials.Orphanet journal of rare diseases · 2018Article
- 'IRDiRC Recognized Resources': a new mechanism to support scientists to conduct efficient, high-quality research for rare diseases.European journal of human genetics : EJHG · 2017Article
- Current and emerging treatment strategies for Duchenne muscular dystrophy.Neuropsychiatric disease and treatment · 2016Review
- Improving translational studies: lessons from rare neuromuscular diseases.Disease models & mechanisms · 2015Article
- Looking Forward to New Therapies: A Personal Perspective on the Translational Landscape for Muscular Dystrophies.Journal of neuromuscular diseases · 2015Article
- Update on Standard Operating Procedures in Preclinical Research for DMD and SMA Report of TREAT-NMD Alliance Workshop, Schiphol Airport, 26 April 2015, The Netherlands.Journal of neuromuscular diseasesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 11 institutions in 4 countries.
Funding
Abstract
Despite multiple publications on potential therapies for neuromuscular diseases (NMD) in cell and animal models only a handful reach clinical trials. The ability to prioritise drug development according to objective criteria is particularly critical in rare diseases with large unmet needs and a limited numbers of patients who can be enrolled into clinical trials. TREAT-NMD Advisory Committee for Therapeutics (TACT) was established to provide independent and objective guidance on the preclinical and development pathway of potential therapies (whether novel or repurposed) for NMD.We present our experience in the establishment and operation of the TACT. TACT provides a unique resource of recognized experts from multiple disciplines. The goal of each TACT review is to help the sponsor to position the candidate compound along a realistic and well-informed plan to clinical trials, and eventual registration. The reviews and subsequent recommendations are focused on generating meaningful and rigorous data that can enable clear go/no-go decisions and facilitate longer term funding or partnering opportunities. The review process thereby acts to comment on viability, de-risking the process of proceeding on a development programme.To date TACT has held 10 review meeting and reviewed 29 program applications in several rare neuromuscular diseases: Of the 29 programs reviewed, 19 were from industry and 10 were from academia; 15 were for novel compounds and 14 were for repurposed drugs; 16 were small molecules and 13 were biologics; 14 were preclinical stage applications and 15 were clinical stage applications. 3 had received Orphan drug designation from European Medicines Agency and 3 from Food and Drug Administration. A number of recurrent themes emerged over the course of the reviews and we found that applicants frequently require advice and education on issues concerned with preclinical standard operating procedures, interactions with regulatory agencies, formulation, repurposing, clinical trial design, manufacturing and ethics.Over the 5 years since its establishment TACT has amassed a body of experience that can be extrapolated to other groups of rare diseases to improve the community's chances of successfully bringing new rare disease drugs to registration and ultimately to market.
Indexed as
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What OpenQuestion holds
Registered trials
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.