Evidence map›Paper›PMID 31317279›Full record

ArticlePharmaceutical research2019

Item Response Model Adaptation for Analyzing Data from Different Versions of Parkinson's Disease Rating Scales.

Gopichand Gottipati, Alienor C Berges, Shuying Yang, Chao Chen, Mats O Karlsson, Elodie L Plan

Abstract read
In one paragraph

Article in Pharmaceutical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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.

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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Dissecting the Domains of Parkinson's Disease: Insights from Longitudinal Item Response Theory Modeling.Movement disorders : official journal of the Movement Disorder Society · 2022
    Article
  6. Review
  7. Article
  8. Article
  9. 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

6 authors.

Gopichand GottipatiDepartment of Pharmaceutical Biosciences, Uppsala University, Box 591, 75124, Uppsala, Sweden.
Alienor C BergesGlaxoSmithKline, London, UK.
Shuying YangGlaxoSmithKline, London, UK.
Chao ChenGlaxoSmithKline, London, UK.
Mats O KarlssonDepartment of Pharmaceutical Biosciences, Uppsala University, Box 591, 75124, Uppsala, Sweden.
Elodie L PlanDepartment of Pharmaceutical Biosciences, Uppsala University, Box 591, 75124, Uppsala, Sweden. elodie.plan@farmbio.uu.se.ORCID http://orcid.org/0000-0002-2255-3904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this work was to allow combination of information from recent and historical trials in Parkinson's Disease (PD) by developing bridging methodology between two versions of the clinical endpoint.

methodsA previously developed Item Response Model (IRM), that described longitudinal changes in Movement Disorder Society (MDS) sponsored revision of Unified Parkinson's Disease Rating Scale (UPDRS) [MDS-UPDRS] data from the De Novo PD cohort in Parkinson's Progression Markers Initiative, was first adapted to describe baseline UPDRS data from two clinical trials, one in subjects with early PD and another in subjects with advanced PD. Assuming similar IRM structure, items of the UPDRS version were mapped to those in the MDS-UPDRS version. Subsequently, the longitudinal changes in the placebo arm of the advanced PD study were characterized.

resultsThe parameters reflecting differences in the shared items between endpoints were successfully estimated, and the model diagnostics indicated that mapping was better for early PD subjects (closer to De Novo cohort) than for advanced PD subjects. Disease progression for placebo in advanced PD patients was relatively shallow.

conclusionAn IRM able to handle two variants of clinical PD endpoints was developed; it can improve the utilization of data from diverse sources and diverse disease populations.

Indexed as

Severity of Illness IndexCohort StudiesDisability EvaluationHumansModels, TheoreticalParkinson DiseasePlacebosPlacebosData integrationdisease progressionitem response theorymovement disorder society (sponsored revision) – Unified parkinson’s disease rating scaleparkinson’s disease

Identifiers

PMID31317279
PMCPMC6647468

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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.