Evidence map›Paper›PMID 32105364›Full record

ArticleAnnals of neurology2020

Robust Markers and Sample Sizes for Multicenter Trials of Huntington Disease.

Peter A Wijeratne, Eileanoir B Johnson, Arman Eshaghi, Leon Aksman, Sarah Gregory, Hans J Johnson, Govinda R Poudel, Amrita Mohan, Cristina Sampaio, Nellie Georgiou-Karistianis and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Annals of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Brain Age as a New Measure of Disease Stratification in Huntington's Disease.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  3. Optimizing Screening for Intrastriatal Interventions in Huntington's Disease Using Predictive Models.Movement disorders : official journal of the Movement Disorder Society · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Tracking Huntington's Disease Progression Using Motor, Functional, Cognitive, and Imaging Markers.Movement disorders : official journal of the Movement Disorder Society · 2021
    Article
  9. Review
  10. Neuroimaging, Urinary, and Plasma Biomarkers of Treatment Response in Huntington's Disease: Preclinical Evidence with the p75Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021
    Article
  11. Article
  12. Review
  13. Review
  14. 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

15 authors at 7 institutions in 3 countries.

Peter A WijeratneCenter for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.ORCID 0000-0002-4885-6241
Eileanoir B JohnsonHuntington's Disease Research Center, Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, United Kingdom.
Arman EshaghiCenter for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.ORCID 0000-0002-6652-3512
Leon AksmanCenter for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
Sarah GregoryHuntington's Disease Research Center, Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, United Kingdom.
Hans J JohnsonDepartments of Neurology and Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA.
Govinda R PoudelMary Mackillop Institute of Health Research, Australian Catholic University, Melbourne, Australia.
Amrita MohanCHDI Management/CHDI Foundation, New York, NY.
Cristina SampaioCHDI Management/CHDI Foundation, New York, NY.
Nellie Georgiou-KaristianisMonash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Faculty of Nursing, Medicine, and Health Sciences, Monash University, Clayton Campus, Victoria, Australia.
Jane S PaulsenDepartments of Neurology and Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA.
Sarah J TabriziHuntington's Disease Research Center, Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, United Kingdom.
Rachael I ScahillHuntington's Disease Research Center, Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, United Kingdom.
IMAGE-HD, PREDICT-HD, and TRACK-HD investigators
Daniel C AlexanderCenter for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
Huntington's Disease Association · GBUniversity College London · GBCHDI Foundation · USUniversity of Iowa · USAustralian Catholic University · AUMonash University · AUQueen Mary University of London · GB

Funding

XANTHINE OXIDASE PRODUCTS IN MODULATION OF ENDOTHELIAL DYSFUNCTIONM01RR000059 · NCRR · UNIVERSITY OF IOWA · PI ASHARE, ALIX · 1985 to 2007
$22.3M
Preparing for preventive clinical trials in Huntington's diseaseU01NS105509 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI PAULSEN, JANE S · 2020 to 2025
$2.5M
Statistical disease modeling and clinimetrics to prepare for preventive trials in huntington diseaseU01NS103475 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI PAULSEN, JANE S · 2020 to 2022
$1.7M
Medical Research Council MR/T027770/1NCRR NIH HHS M01 RR000059NINDS NIH HHS U01 NS103475NINDS NIH HHS U01 NS105509Wellcome TrustWellcome Trust 200181/Z/15/Z
6 · The paper itself

Abstract

objectiveThe identification of sensitive biomarkers is essential to validate therapeutics for Huntington disease (HD). We directly compare structural imaging markers across the largest collective imaging HD dataset to identify a set of imaging markers robust to multicenter variation and to derive upper estimates on sample sizes for clinical trials in HD.

methodsWe used 1 postprocessing pipeline to retrospectively analyze T1-weighted magnetic resonance imaging (MRI) scans from 624 participants at 3 time points, from the PREDICT-HD, TRACK-HD, and IMAGE-HD studies. We used mixed effects models to adjust regional brain volumes for covariates, calculate effect sizes, and simulate possible treatment effects in disease-affected anatomical regions. We used our model to estimate the statistical power of possible treatment effects for anatomical regions and clinical markers.

resultsWe identified a set of common anatomical regions that have similarly large standardized effect sizes (>0.5) between healthy control and premanifest HD (PreHD) groups. These included subcortical, white matter, and cortical regions and nonventricular cerebrospinal fluid (CSF). We also observed a consistent spatial distribution of effect size by region across the whole brain. We found that multicenter studies were necessary to capture treatment effect variance; for a 20% treatment effect, power of >80% was achieved for the caudate (n = 661), pallidum (n = 687), and nonventricular CSF (n = 939), and, crucially, these imaging markers provided greater power than standard clinical markers.

interpretationOur findings provide the first cross-study validation of structural imaging markers in HD, supporting the use of these measurements as endpoints for both observational studies and clinical trials. ANN NEUROL 2020;87:751-762.

Indexed as

AdultClinical Trials as TopicFemaleHumansHuntington DiseaseImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedMulticenter Studies as TopicNeuroimagingObservational Studies as TopicRetrospective Studies

Identifiers

PMID32105364
PMCPMC7187160
OpenAlexW3007170690

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.