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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Case Definitions and Data Sources for NNCSS Parkinson Disease Surveillance: A Systematic Review.

Christine D Esper1,2,3, Kelly N Hogan2,3, Purni Abeysekara2,4

  • 1Department of Neurology, Emory University School of Medicine, Atlanta, Georgia.

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|June 8, 2026
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Summary

Establishing national Parkinson disease surveillance requires careful selection of case definitions and data sources. This review identified optimal methods for accurate PD tracking and understanding neurological conditions.

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Area of Science:

  • Neurology
  • Epidemiology
  • Public Health Surveillance

Background:

  • The National Neurological Conditions Surveillance System (NNCSS) aims to track neurological conditions in the U.S.
  • Parkinson disease (PD) surveillance methods are currently limited, necessitating a review of existing evidence.

Purpose of the Study:

  • To review evidence, evaluate performance, and select optimal data source types and case definitions for national PD surveillance.
  • To establish a foundation for NNCSS's PD surveillance and future expansion to other neurological conditions.

Main Methods:

  • A systematic literature search of Medline, Embase, PsycInfo, CINAHL, and Scopus (1980-2023) was conducted.
  • Articles were screened for eligibility, focusing on case definitions for population-based estimates and suitable data sources.
  • Study quality was assessed, and case definitions/data sources were evaluated using key public health surveillance attributes.

Main Results:

  • 156 articles (2001-2023) were included, predominantly using administrative/claims data (90%).
  • 163 case definitions varied significantly, categorized by their approach to including/excluding other parkinsonisms (OP).
  • Claims data performed best on key surveillance attributes; no single definition precisely distinguished PD from OP due to diagnostic and coding limitations.

Conclusions:

  • No single case definition precisely estimates PD due to early-stage diagnostic uncertainty and ICD coding limitations.
  • Selected 'PD probable' and 'PD possible' definitions offer a range for estimation, balancing specificity and sensitivity.
  • This systematic review provides a methodological framework for NNCSS case definition and data source selection for PD and other neurological conditions.