Evidence map›Paper›PMID 39422345›Full record

ArticleMovement disorders clinical practice2025

Increasing Sensitivity in Patient-Reported MDS-UPDRS Items for Predicting Medication Initiation in Early PD.

Haotian Zou, Christopher G Goetz, Glenn T Stebbins, Tiago A Mestre, Sheng Luo

Abstract read
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Article in Movement disorders clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Enhancing Measurement Precision of Patient-Reported Outcomes Using Item Response Theory.Inquiry : a journal of medical care organization, provision and financing
    Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haotian ZouDepartment of Biostatistics & Bioinformatics, Duke University, Durham, North Carolina, USA.ORCID 0000-0002-3595-8716
Christopher G GoetzDepartment of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA.ORCID 0000-0003-1665-8205
Glenn T StebbinsDepartment of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA.
Tiago A MestreOttawa Hospital Research Institute; University of Ottawa Brain and Mind Research Institute; Division of Neurology, Department of Medicine, University of Ottawa, The Ottawa Hospital Ottawa, Ottawa, Ontario, Canada.ORCID 0000-0002-6973-7479
Sheng LuoDepartment of Biostatistics & Bioinformatics, Duke University, Durham, North Carolina, USA.ORCID 0000-0003-4214-5809

Funding

Research Education Component CoreP30AG072958 · NIA · DUKE UNIVERSITY · PI Maria Marquine · 2021 to 2026
$24.1M
Integrative modeling and dynamic prediction of Alzheimer's diseaseR01AG064803 · NIA · DUKE UNIVERSITY · PI LUO, SHENG · 2020 to 2024
$2.3M
NIA NIH HHS P30 AG072958NIA NIH HHS P30AG072958NIA NIH HHS R01 AG064803NIA NIH HHS R01AG064803
6 · The paper itself

Abstract

backgroundThe MDS-UPDRS Parts IB and II are self-reported items providing a direct patient voice to the experiences of PD.

objectiveTo determine the most sensitive combination of MDS-UPDRS Parts IB and II items that accurately predicted the clinically relevant target of dopaminergic therapy initiation.

methodsUtilizing a longitudinal cohort of de novo non-treated PD patients, we applied item response theory (IRT) and survival analysis to assess the relationship between baseline patient-reported symptoms and the later initiation of dopaminergic therapy. The 20 MDS-UPDRS Parts IB and II items were analyzed for their relationship to PD severity (discrimination) and the amount of information they provided in this determination (information). These parameters were used to develop models of predictive accuracy for initiation of dopaminergic therapy.

resultsA six-item version showed a significantly higher C-index as compared to the full 20 item model (P = 0.001). This shortened version of the MDS-UPDRS contained only Part II items and provided a predictive accuracy for initiation of dopaminergic therapy better than the total combined scale score or any other combination.

conclusionsA six-item "Baseline Outcome Voice" version of patient-reported MDS-UPDRS items significantly increases the sensitivity of predicting the key future clinical outcome of starting dopaminergic treatment in early PD. This study also demonstrates how IRT modeling can provide information useful to refining existing measures to identify the most sensitive combination of items honoring the voice of the patient in determining key clinically pertinent decisions. Further research is needed to validate these findings in underrepresented populations.

Indexed as

Antiparkinson AgentsParkinson DiseasePatient Reported Outcome MeasuresSeverity of Illness IndexAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedSelf ReportAntiparkinson Agentsclinical decision makingdopaminergic therapyitem response theory; survival analysis

Identifiers

PMID39422345
PMCPMC11802657

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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.