Evidence map›Paper›PMID 26340420›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2015

Multivariate prediction of motor diagnosis in Huntington's disease: 12 years of PREDICT-HD.

Jeffrey D Long, Jane S Paulsen, PREDICT-HD Investigators and Coordinators of the Huntington Study Group

Open access · hybridAbstract read
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-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

28 citing papers in PubMed, 44 citations in OpenAlex.

  1. Sample enrichment for clinical trials to show delay of onset in huntington disease.Movement disorders : official journal of the Movement Disorder Society · 2019
    Trial
  2. Article
  3. Observational
  4. Review
  5. Article
  6. 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
  7. Article
  8. Observational
  9. Longitudinal subcortical segmentation with deep learning.Proceedings of SPIE--the International Society for Optical Engineering · 2021
    Article
  10. MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs.Proceedings of SPIE--the International Society for Optical Engineering · 2021
    Article
  11. Article
  12. Generalizing MRI Subcortical Segmentation to Neurodegeneration.Machine learning in clinical neuroimaging and radiogenomics in neuro-oncology : Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020... · 2020
    Article
  13. Huntington disease: Advances in the understanding of its mechanisms.Clinical parkinsonism & related disorders · 2020
    Review
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Translation of MicroRNA-Based Huntingtin-Lowering Therapies from Preclinical Studies to the Clinic.Molecular therapy : the journal of the American Society of Gene Therapy · 2018
    Review
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Jeffrey D LongDepartment of Psychiatry, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA.
Jane S PaulsenDepartment of Psychiatry, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA.
PREDICT-HD Investigators and Coordinators of the Huntington Study Group
University of Iowa · US

Funding

NEUROBIOLOGICAL PREDICTORS OF HUNTINGTON'S DISEASER01NS040068 · NINDS · UNIVERSITY OF IOWA · PI PAULSEN, JANE S · 2001 to 2013
$48.5M
Cognitive and functional brain changes in preclinical Huntington's disease (HD)R01NS054893 · NINDS · UNIVERSITY OF IOWA · PI PAULSEN, JANE S · 2007 to 2011
$2.0M
NINDS NIH HHS 5R01NS040068NINDS NIH HHS 5R01NS054893NINDS NIH HHS R01 NS040068NINDS NIH HHS R01 NS054893
6 · The paper itself

Abstract

backgroundIt is well known in Huntington's disease that cytosine-adenine-guanine expansion and age at study entry are predictive of the timing of motor diagnosis. The goal of this study was to assess whether additional motor, imaging, cognitive, functional, psychiatric, and demographic variables measured at study entry increased the ability to predict the risk of motor diagnosis over 12 years.

methodsOne thousand seventy-eight Huntington's disease gene-expanded carriers (64% female) from the Neurobiological Predictors of Huntington's Disease study were followed up for up to 12 y (mean = 5, standard deviation = 3.3) covering 2002 to 2014. No one had a motor diagnosis at study entry, but 225 (21%) carriers prospectively received a motor diagnosis. Analysis was performed with random survival forests, which is a machine learning method for right-censored data.

resultsAdding 34 variables along with cytosine-adenine-guanine and age substantially increased predictive accuracy relative to cytosine-adenine-guanine and age alone. Adding six of the common motor and cognitive variables (total motor score, diagnostic confidence level, Symbol Digit Modalities Test, three Stroop tests) resulted in lower predictive accuracy than the full set, but still had twice the 5-y predictive accuracy than when using cytosine-adenine-guanine and age alone. Additional analysis suggested interactions and nonlinear effects that were characterized in a post hoc Cox regression model.

conclusionsMeasurement of clinical variables can substantially increase the accuracy of predicting motor diagnosis over and above cytosine-adenine-guanine and age (and their interaction). Estimated probabilities can be used to characterize progression level and aid in future studies' sample selection.

Indexed as

Huntington DiseaseAdultAgedAged, 80 and overCognition DisordersDisease ProgressionFemaleHumansHuntingtin ProteinLongitudinal StudiesMachine LearningMaleMiddle AgedMotor ActivityNerve Tissue ProteinsNeuropsychological TestsHTT protein, humanHuntingtin ProteinNerve Tissue Proteinsassessment of cognitive disorders/dementiaclinical trials methodology/study designHuntington's diseaseprognosis

Identifiers

PMID26340420
PMCPMC4795466
OpenAlexW2119331647

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.