Evidence map›Paper›PMID 30363395›Full record

ArticleMovement disorders clinical practice

Data Analytics from Enroll-HD, a Global Clinical Research Platform for Huntington's Disease.

Georg B Landwehrmeyer, Cheryl J Fitzer-Attas, Joseph D Giuliano, Nilza Gonçalves, Karen E Anderson, Francisco Cardoso, Joaquim J Ferreira, Tiago A Mestre, Julie C Stout, Cristina Sampaio

Registry-linked trialAbstract read
In one paragraph

Article in Movement disorders clinical practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01574053 (Enroll -HD), which is not on this map. Cited by 108 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

NCT01574053 recruitingnot on this map

Enroll -HD: A Prospective Registry Study in a Global Huntington's Disease Cohort

Typeobservational_patient_registrySponsorCHDI Foundation, Inc.Ran2012 to 2062Enrolled35,000ConditionsHuntington's Disease
3 · Its place in the literature

Who cites it

108 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  12. Sertraline treatment prevents motor dysfunction in a Huntington's disease mouse model and functional decline in patients.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
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  13. Review
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  16. Antidopaminergic Medications and Clinical Changes in Measures of Huntington's Disease: A Causal Analysis.Movement disorders : official journal of the Movement Disorder Society · 2025
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  20. Article

48 more citing papers are in PubMed but not listed here.

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

10 authors.

Georg B LandwehrmeyerDepartment of Neurology University of Ulm Ulm Germany.
Cheryl J Fitzer-AttasCHDI Management/CHDI Foundation Princeton New Jersey USA.
Joseph D GiulianoCHDI Management/CHDI Foundation Princeton New Jersey USA.
Nilza GonçalvesFaculty of Medicine University of Lisbon Lisbon Portugal.
Karen E AndersonMedStar Georgetown University Hospital & Georgetown University Medical Center-Huntington Disease Care, Education & Research Center Washington DC USA.
Francisco CardosoMovement Disorders Clinic, Medical School Universidade Federal de Minas Gerais Belo Horizonte Brazil.
Joaquim J FerreiraFaculty of Medicine University of Lisbon Lisbon Portugal.
Tiago A MestreParkinson's disease and Movement Disorders Center Division of Neurology Department of Medicine The Ottawa Hospital Research Institute University of Ottawa Ottawa Ontario Canada.
Julie C StoutSchool of Psychological Sciences Monash University Melbourne Victoria Australia.
Cristina SampaioCHDI Management/CHDI Foundation Princeton New Jersey USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study of complex neurodegenerative diseases is moving away from hypothesis-driven biological methods toward large scale multimodal approaches, requiring standardized collaborative efforts. Enroll-HD exemplifies such an integrated clinical research platform, designed and implemented to meet the research and clinical needs of Huntington's disease (HD). The aim of this study was to describe the unique organization of Enroll-HD and report baseline data analyses of its core study.

methodsThe Enroll-HD platform incorporates electronic data capture, biosampling, and a longitudinal observational study spanning four continents (ClinicalTrials.gov Identifier: NCT01574053). The primary study population includes HD gene expansion carriers (HDGECs; CAG expansion ≥36), subdivided into manifest/premanifest HD. The control population consists of genotype-negative first-degree relatives and family controls not genetically related. The study includes 10 core clinical assessments covering motor, cognitive, and behavioral domains.

resultsThis data set comprises 1,534 participants (HDGEC = 1,071; controls = 463). Participant retention was high; 42 participants prematurely withdrew from the study. Mean ± standard deviation SD CAG repeat size was 43.5 ± 3.5 for HDGECs and 19.8 ± 3.4 for controls. Motor and behavioral assessments identified numerical differences between controls and HDGECs (manifest > premanifest > controls). Functional and independence assessments were generally similar for the premanifest and control groups with overlap in range of scores obtained. For the majority of cognitive tests, there were large differences between participants with manifest HD and all other groups.

conclusionsThese first data from the Enroll-HD clinical research platform demonstrate the maturity and potential of the platform in collecting high-quality, clinically relevant data. Future data sets will be substantially larger as the platform expands longitudinally and regionally.

Indexed as

Huntington's diseaseobservational studyresearch platform

Identifiers

PMID30363395
PMCPMC6174428

What OpenQuestion holds

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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.