Evidence map›Paper›PMID 32066568›Full record

ReviewDisease models & mechanisms2020

Improving translatability of preclinical studies for neuromuscular disorders: lessons from the TREAT-NMD Advisory Committee for Therapeutics (TACT).

Raffaella Willmann, Joanne Lee, Cathy Turner, Kanneboyina Nagaraju, Annemieke Aartsma-Rus, Dominic J Wells, Kathryn R Wagner, Cristina Csimma, Volker Straub, Miranda D Grounds and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Disease models & mechanisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Teaming up to overcome challenges toward translation of new therapeutics for osteoarthritis.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024
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  7. Planning for progress: A US regulatory approach to advancing the clinical development of gene therapies.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  8. Article
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  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Moving towards less biased research.BMJ open science · 2021
    Article
  16. Article
  17. Article
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

11 authors at 7 institutions in 5 countries.

Raffaella WillmannSwiss Foundation for Research on Muscle Diseases, 2016 Cortaillod, Switzerland.ORCID 0000-0002-5949-0900
Joanne LeeJohn Walton Muscular Dystrophy Research Centre, Centre for Life, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne NE7 7DN, UK.
Cathy TurnerJohn Walton Muscular Dystrophy Research Centre, Centre for Life, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne NE7 7DN, UK.
Kanneboyina NagarajuSchool of Pharmacy and Pharmaceutical Sciences, Binghamton University, New York, NY 13902-6000, USA.
Annemieke Aartsma-RusJohn Walton Muscular Dystrophy Research Centre, Centre for Life, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne NE7 7DN, UK.
Dominic J WellsNeuromuscular Disease Group, Royal Veterinary College, London NW1 0TU, UK.
Kathryn R WagnerCenter for Genetic Muscle Disorders, Kennedy Krieger Institute and the Departments of Neurology and Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Cristina CsimmaCsimma LLC, Lincoln, MA 01773, USA.
Volker StraubJohn Walton Muscular Dystrophy Research Centre, Centre for Life, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne NE7 7DN, UK.
Miranda D GroundsSchool of Human Sciences, The University of Western Australia, Perth, WA 6009, Australia.
Annamaria De LucaUnit of Pharmacology, Department of Pharmacy and Drug Sciences, University of Bari Aldo Moro, 70125 Bari, Italy annamaria.deluca@uniba.it.ORCID 0000-0002-5652-7341
Centre for Life · GBBinghamton University · USKennedy Krieger Institute · USLeiden University Medical Center · NLRoyal Veterinary College · GBThe University of Western Australia · AUUniversity of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical trials for rare neuromuscular diseases imply, among other investments, a high emotional burden for the whole disease community. Translation of data from preclinical studies to justify any clinical trial must be carefully pondered in order to minimize the risk of clinical trial withdrawal or failure. A rigorous distinction between proof-of-concept and preclinical efficacy studies using animal models is key to support the rationale of a clinical trial involving patients. This Review evaluates the experience accumulated by the TREAT-NMD Advisory Committee for Therapeutics, which provides detailed constructive feedback on clinical proposals for neuromuscular diseases submitted by researchers in both academia and industry, and emphasizes that a timely critical review of preclinical efficacy data from animal models, including biomarkers for specific diseases, combined with adherence to existing guidelines and standard protocols, can significantly help to de-risk clinical programs and prevent disappointments and costly engagement.

Indexed as

Advisory CommitteesTranslational Research, BiomedicalClinical Trials as TopicEuropeHealth Planning GuidelinesHumansNeuromuscular DiseasesAnimal modelsClinical trialEfficacy studiesGuidelinesNeuromuscularPreclinicalStandard protocols

Identifiers

PMID32066568
PMCPMC7044444
OpenAlexW3005341446

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.