Evidence map›Paper›PMID 37318322›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2023

Adjusting for Underrepresentation Reveals Widespread Underestimation of Parkinson's Disease Symptom Burden.

Ali G Hamedani, Peggy Auinger, Allison W Willis, Delaram Safarpour, David Shprecher, Natividad Stover, Thyagarajan Subramanian, Leslie Cloud

Abstract read
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Instrumental assessment of Sit-to-Stand in Parkinson's disease: a scoping review.Journal of neuroengineering and rehabilitation · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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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

8 authors.

Ali G HamedaniDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-5949-6395
Peggy AuingerDepartment of Neurology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA.
Allison W WillisDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Delaram SafarpourDepartment of Neurology, School of Medicine, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0003-2625-2049
David ShprecherBanner Health, Sun City, Arizona, USA.
Natividad StoverDepartment of Neurology, University of Alabama-Birmingham, Birmingham, Alabama, USA.
Thyagarajan SubramanianDepartment of Neurology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio, USA.
Leslie CloudDepartment of Neurology, Virginia Commonwealth University, Richmond, Virginia, USA.

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Impact of Anticholinergic and Dopamine Receptor Blocking Drug Exposure on Parkinson Disease Trajectory and OutcomesR01NS099129 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI WILLIS, ALLISON · 2017 to 2021
$2.9M
Midcareer Development Award in Neuroaging and Geriatric Pharmacoepidemiology ResearchK24AG075234 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Allison Willis · 2022 to 2026
$808k
NIA NIH HHS K24 AG075234NIA NIH HHS U01 AG032947NINDS NIH HHS R01 NS099129
6 · The paper itself

Abstract

backgroundClinical research is limited by underrepresentation, but the impact of underrepresentation on patient-reported outcomes in Parkinson's disease (PD) is unknown.

objectivesTo produce nationwide estimates of non-motor symptom (NMS) prevalence and PD-related quality of life (QOL) limitations while accounting for underrepresentation.

methodsWe performed a cross-sectional analysis of data from the Fox Insight (FI) study, an ongoing prospective longitudinal study of persons with self-reported PD. Using epidemiologic literature and United States (US) Census Bureau, Medicare, and National Health and Aging Trends Study data, we simulated a "virtual census" of the PD population. To compare the PD census to the FI cohort, we used logistic regression to model the odds of study participation and calculate predicted probabilities of participation for inverse probability weighting.

resultsThere are an estimated 849,488 persons living with PD in the US. Compared to 22,465 eligible FI participants, non-participants are more likely to be older, female, and non-White; live in rural regions; have more severe PD; and have lower levels of education. When these predictors were incorporated into a multivariable regression model, predicted probability of participation was much higher for FI participants than non-participants, indicating a significant difference in the underlying populations (propensity score distance 2.62). Estimates of NMS prevalence and QOL limitation were greater when analyzed using inverse probability of participation weighting compared to unweighted means and frequencies.

conclusionsPD-related morbidity may be underestimated because of underrepresentation, and inverse probability of participation weighting can be used to give greater weight to underrepresented groups and produce more generalizable estimates. © 2023 International Parkinson and Movement Disorder Society.

Indexed as

Parkinson DiseaseAgedCross-Sectional StudiesFemaleHumansLongitudinal StudiesMedicareProspective StudiesQuality of LifeUnited Statesgeneralizabilityinclusion and diversitynon-motor symptomsParkinson diseasequality of life

Identifiers

PMID37318322
PMCPMC10524668

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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.