Evidence map›Paper›PMID 30644132›Full record

Trial reportMovement disorders : official journal of the Movement Disorder Society2019

Sample enrichment for clinical trials to show delay of onset in huntington disease.

Jane S Paulsen, Spencer Lourens, Karl Kieburtz, Ying Zhang

Registry-linked trialOpen access · greenAbstract readClinical Trial
In one paragraph

Trial report in Movement disorders : official journal of the Movement Disorder Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00051324 (Neurobiological Predictors of Huntington's Disease Trial), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 33% 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.

NCT00051324 active not recruitingnot on this map

Neurobiological Predictors of Huntington's Disease Trial

TypeobservationalSponsorJordan SchultzRan2002 to 2025Enrolled1,700ConditionsHuntington Disease
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Extrapolation before imputation reduces bias when imputing censored covariates.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2025
    Article
  3. Article
  4. Article
  5. clusterMLD: An Efficient Hierarchical Clustering Method for Multivariate Longitudinal Data.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2023
    Article
  6. Article
  7. Tracking Huntington's Disease Progression Using Motor, Functional, Cognitive, and Imaging Markers.Movement disorders : official journal of the Movement Disorder Society · 2021
    Article
  8. Review
  9. HDQLIFE and neuro-QoL physical function measures: Responsiveness in persons with huntington's disease.Movement disorders : official journal of the Movement Disorder Society · 2020
    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

4 authors at 3 institutions in 1 country.

Jane S PaulsenDepartments of Neurology, Psychiatry, and Psychological and Brain Sciences, University of Iowa, Iowa City, Iowa, USA.
Spencer LourensDepartment of Biostatistics, Indiana University Fairbanks School of Public Health and School of Medicine, Indianapolis, Indiana, USA.
Karl KieburtzDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.
Ying ZhangDepartment of Biostatistics, Indiana University Fairbanks School of Public Health and School of Medicine, Indianapolis, Indiana, USA.
Indiana University – Purdue University Indianapolis · USUniversity of Iowa · USUniversity of Rochester Medical Center · US

Funding

NEUROBIOLOGICAL PREDICTORS OF HUNTINGTON'S DISEASER01NS040068 · NINDS · UNIVERSITY OF IOWA · PI PAULSEN, JANE S · 2001 to 2013
$48.5M
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
Statistical disease modeling and clinimetrics to prepare for preventive trials in huntington diseaseR01NS103475 · NINDS · UNIVERSITY OF IOWA · PI PAULSEN, JANE S, ZHANG, YING · 2017 to 2018
$1.2M
Preparing for preventive clinical trials in Huntington's diseaseR01NS105509 · NINDS · UNIVERSITY OF IOWA · PI PAULSEN, JANE S · 2018 to 2018
$658k
CHDI Foundation, Inc.National Institutes of Health (NIH) NS040068National Institutes of Health (NIH) NS103475National Institutes of Health (NIH) NS105509NCATS NIH HHSNINDS NIH HHS R01 NS040068NINDS NIH HHS R01 NS103475NINDS NIH HHS R01 NS105509NINDS NIH HHS U01 NS103475NINDS NIH HHS U01 NS105509
6 · The paper itself

Abstract

backgroundDisease-modifying clinical trials in persons without symptoms are often limited in methods to assess the impact associated with experimental therapeutics. This study suggests sample enrichment approaches to facilitate preventive trials to delay disease onset in individuals with the dominant gene for Huntington disease.

methodsUsing published onset prediction indexes, we conducted the receiver operating curve analysis for diagnosis within a 3-year clinical trial time frame. We determined optimal cut points on the indexes for participant recruitment and then conducted sample size and power calculations to detect varying effect sizes for treatment efficacy in reducing 3-year rates of disease onset (or diagnosis).

resultsArea under the curve for 3 onset prediction indexes all demonstrated excellent value in sample enrichment methodology, with the best-performing index being the multivariate risk score (MRS).

conclusionsThis study showed that conducting an intervention trial in premanifest and prodromal individuals with the gene expansion for Huntington disease is highly feasible using sample enrichment recruitment methods. Ongoing natural history studies are highly likely to indicate additional markers of disease prior to diagnosis. Statistical modeling of identified markers can facilitate participant enrichment to increase the likelihood of detecting a difference between treatment arms in a cost-effective and efficient manner. Such variations may expedite translation of emerging therapies to persons in an earlier phase of the disease.

trial registrationPREDICT-HD is registered with www.clinicaltrials.gov, number NCT00051324. © 2019 International Parkinson and Movement Disorder Society.

Indexed as

Disease ProgressionAdultFemaleHumansHuntington DiseaseLongitudinal StudiesMaleMiddle AgedModels, StatisticalMovement DisordersResearch DesignClinical trials methodology/study designgeneticshuntington diseasemovement disordersprevention

Identifiers

PMID30644132
PMCPMC8121118
OpenAlexW2910776617

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.