Evidence map›Paper›PMID 34744964›Full record

ReviewFrontiers in neurology2021

Recommendations to Optimize the Use of Volumetric MRI in Huntington's Disease Clinical Trials.

Kirsi M Kinnunen, Ariana P Mullin, Dorian Pustina, Emily C Turner, Jackson Burton, Mark F Gordon, Rachael I Scahill, Emily C Gantman, Simon Noble, Klaus Romero and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 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
0.7field-weighted citation impact, top 35% 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, 11 citations in OpenAlex.

  1. Article
  2. Transforming Drug Development for Neurological Disorders: Proceedings from a Multidisease Area Workshop.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  3. 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

12 authors at 7 institutions in 3 countries.

Kirsi M KinnunenIXICO, London, United Kingdom.
Ariana P MullinCritical Path Institute, Tucson, AZ, United States.
Dorian PustinaCHDI Management/CHDI Foundation, Princeton, NJ, United States.
Emily C TurnerCritical Path Institute, Tucson, AZ, United States.
Jackson BurtonCritical Path Institute, Tucson, AZ, United States.
Mark F GordonTeva Pharmaceuticals, West Chester, PA, United States.
Rachael I ScahillHuntington's Disease Research Centre, UCL Institute of Neurology, London, United Kingdom.
Emily C GantmanCHDI Management/CHDI Foundation, Princeton, NJ, United States.
Simon NobleCHDI Management/CHDI Foundation, Princeton, NJ, United States.
Klaus RomeroCritical Path Institute, Tucson, AZ, United States.
Nellie Georgiou-KaristianisSchool of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.
Adam J SchwarzTakeda Pharmaceuticals, Ltd., Cambridge, MA, United States.
Critical Path Institute · USCHDI Foundation · USHuntington's Disease Association · GBIxico (United Kingdom) · GBMonash University · AUTakeda (United States) · USTeva Pharmaceuticals (United States) · US

Funding

FDA HHS U18 FD005320
6 · The paper itself

Abstract

Volumetric magnetic resonance imaging (vMRI) has been widely studied in Huntington's disease (HD) and is commonly used to assess treatment effects on brain atrophy in interventional trials. Global and regional trajectories of brain atrophy in HD, with early involvement of striatal regions, are becoming increasingly understood. However, there remains heterogeneity in the methods used and a lack of widely-accessible multisite, longitudinal, normative datasets in HD. Consensus for standardized practices for data acquisition, analysis, sharing, and reporting will strengthen the interpretation of vMRI results and facilitate their adoption as part of a pathobiological disease staging system. The Huntington's Disease Regulatory Science Consortium (HD-RSC) currently comprises 37 member organizations and is dedicated to building a regulatory science strategy to expedite the approval of HD therapeutics. Here, we propose four recommendations to address vMRI standardization in HD research: (1) a checklist of standardized practices for the use of vMRI in clinical research and for reporting results; (2) targeted research projects to evaluate advanced vMRI methodologies in HD; (3) the definition of standard MRI-based anatomical boundaries for key brain structures in HD, plus the creation of a standard reference dataset to benchmark vMRI data analysis methods; and (4) broad access to raw images and derived data from both observational studies and interventional trials, coded to protect participant identity. In concert, these recommendations will enable a better understanding of disease progression and increase confidence in the use of vMRI for drug development.

Indexed as

biomarkersclinical trialsC-PathHuntington's diseaseneurodegenerativevolumetric MRI

Identifiers

PMID34744964
PMCPMC8569234
OpenAlexW3210444010

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.