Evidence map›Paper›PMID 30400103›Full record

ArticleJournal of Huntington's disease2018

Disease Progression in Huntington Disease: An Analysis of Multiple Longitudinal Outcomes.

Tanya P Garcia, Yuanjia Wang, Ira Shoulson, Jane S Paulsen, Karen Marder

Open access · greenAbstract read
In one paragraph

Article in Journal of Huntington's disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Observational
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

5 authors at 5 institutions in 1 country.

Tanya P GarciaDepartment of Statistics, Texas A&M University, College Station, TX, USA.
Yuanjia WangDepartment of Biostatistics, Columbia University, New York, NY, USA.
Ira ShoulsonDepartment of Neurology, Georgetown University, Washington, DC, USA.
Jane S PaulsenDepartment of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA, USA.
Karen MarderDepartment of Neurology, Columbia University Medical Center, New York, NY, USA.
Columbia University · USColumbia University Irving Medical Center · USGeorgetown University · USTexas A&M University · USUniversity of Iowa · US

Funding

NEUROBIOLOGICAL PREDICTORS OF HUNTINGTON'S DISEASER01NS040068 · NINDS · UNIVERSITY OF IOWA · PI PAULSEN, JANE S · 2001 to 2013
$48.5M
Prospective Huntington At Risk Observational Study (PHAROS)R01HG002449 · NHGRI · UNIVERSITY OF ROCHESTER · PI SHOULSON, IRA · 2002 to 2009
$7.6M
Statistical Methods for Integrating Mixed-type Biomarkers and Phenotypes in Neurodegenerative Disease ModelingR01NS073671 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WANG, YUANJIA · 2011 to 2025
$3.9M
Innovative Statistical Models for Development of First Huntington's Disease Progression Risk Assessment ToolK01NS099343 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GARCIA, TANYA PAMELA · 2017 to 2019
$739k
NHGRI NIH HHS R01 HG002449NINDS NIH HHS K01 NS099343NINDS NIH HHS R01 NS040068NINDS NIH HHS R01 NS073671
6 · The paper itself

Abstract

backgroundCritical to discovering targeted therapies for Huntington disease (HD) are validated methods that more precisely predict when clinical outcomes occur for different patient profiles.

objectiveTo more precisely predict the probability of when motor diagnosis (diagnostic confidence level 4) on the Unified Huntington's Disease Rating Scale (UHDRS), cognitive impairment (two or more neuropsychological scores on the UHDRS were 1.5 standard deviations below normative means) and Stage II Total Functional Capacity (TFC) first occur by accounting for dependencies between these outcomes.

methodsAdult premanifest participants with ≥36 CAG repeats were selected from multi-center, longitudinal, observational studies: Prospective Huntington At Risk Observational Study (PHAROS, n = 346), Neurobiological Predictors of Huntington Disease (PREDICT, n = 909); and Cooperative Huntington Observational Research Trial (COHORT, n = 430). Probabilities were estimated for each study, and pooled using the Joint Progression of Risk Assessment Tool (JPRAT) which accounts for dependencies between outcomes.

resultsAll studies had similar probabilities of when motor diagnosis, cognitive impairment, and Stage II TFC first occurred. Probability estimates from JPRAT were 43% less variable than from models that ignored dependencies between outcomes. The probability of experiencing motor-diagnosis, cognitive impairment, and Stage II TFC within 5 years was 10%, 18%, and 7%, respectively for 45-year-olds with 42 CAG repeats, and was 4%, 10% and 5%, respectively, for 40 year olds with 42 CAG repeats.

conclusionsImproved predictions from JPRAT may benefit treatment studies of rare diseases and is an alternative to composite outcomes when the objective is interpreting individual outcomes within the same model.

Indexed as

AdultCohort StudiesDisease ProgressionFemaleHumansHuntington DiseaseLongitudinal StudiesMaleMiddle AgedOutcome Assessment, Health CareProspective StudiesTrinucleotide Repeat ExpansionClinical outcomesdisease progressionHuntington diseasejoint modelmultiple studies

Identifiers

PMID30400103
PMCPMC9012322
OpenAlexW2898699277

What OpenQuestion holds

Textmetadata
LicenceTDM
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.