SynthesisPloS one2019
Identifying Parkinson's disease and parkinsonism cases using routinely collected healthcare data: A systematic review.
Synthesis in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Accuracy of routinely collected hospital administrative discharge data and death certificate ICD-10 diagnostic coding in progressive supranuclear palsy and corticobasal syndrome: a systematic review and validation study.Journal of neurology · 2024Pooled it
- Prevalence and Incidence of Parkinson's Disease in Latin America: A Meta-Analysis.Movement disorders : official journal of the Movement Disorder Society · 2024Pooled it
- Extreme heat and hospitalization with Parkinson's disease among older adults.Journal of exposure science & environmental epidemiology · 2026Article
- EPIC4ND-European Prospective Investigation into Cancer and Nutrition follow-up for neurodegenerative diseases.European journal of epidemiology · 2026Article
- Identifying Drugs Associated With Parkinson's Disease Risk Using Machine Learning.Basic & clinical pharmacology & toxicology · 2026Article
- Declining incidence of Parkinson's disease in Israel (2002-2021).Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
- Validation of Parkinson's Disease Diagnoses in a National Register: Accuracy, Limitations, and Utility.Clinical epidemiology · 2026Article
- Integrating explainable AI with multiomics systems biology and EHR data mining for personalized drug repurposing in Alzheimer's disease.bioRxiv : the preprint server for biology · 2025Article
- Use of β-adrenoreceptor drugs and Parkinson's disease incidence in women from the French E3N cohort study.Journal of Parkinson's disease · 2025Article
- Education Research: Exploring the Impact of Standardized, Condition-Specific Note Templates on Quality Metrics and Efficiency in Multiple Resident Clinics.Neurology. Education · 2025Article
- Validation of Parkinson's Disease Ascertainment in the Veterans Administration Electronic Medical Record.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Estimating the burden of dementia and parkinsonism through a novel identification algorithm based on healthcare administrative data.Frontiers in public health · 2025Article
- Sodium-glucose cotransporter 2 inhibitors and the risk of Parkinson disease in real-world patients with type 2 diabetes.Diabetes, obesity & metabolism · 2024Article
- Post-Traumatic Stress Disorder and Risk of Parkinson's Disease in a Veteran Cohort.Journal of Parkinson's disease · 2024Article
- Third mortality follow-up of the Mallinckrodt uranium processing workers, 1942-2019.International journal of radiation biology · 2024Article
- Costs and Utilization of New-to-Market Neurologic Medications.Neurology · 2023Article
- Parkinson's disease population-wide registries in the United States: Current and future opportunities.Frontiers in digital health · 2023Article
- Identification of Drugs Associated with Lower Risk of Parkinson's Disease Using a Systematic Screening Approach in a Nationwide Nested Case-Control Study.Clinical epidemiology · 2022Article
- Aluminum dust exposure and risk of neurodegenerative diseases in a cohort of male miners in Ontario, Canada.Scandinavian journal of work, environment & health · 2021Article
- Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke.BMC medical informatics and decision making · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundPopulation-based, prospective studies can provide important insights into Parkinson's disease (PD) and other parkinsonian disorders. Participant follow-up in such studies is often achieved through linkage to routinely collected healthcare datasets. We systematically reviewed the published literature on the accuracy of these datasets for this purpose.
methodsWe searched four electronic databases for published studies that compared PD and parkinsonism cases identified using routinely collected data to a reference standard. We extracted study characteristics and two accuracy measures: positive predictive value (PPV) and/or sensitivity.
resultsWe identified 18 articles, resulting in 27 measures of PPV and 14 of sensitivity. For PD, PPV ranged from 56-90% in hospital datasets, 53-87% in prescription datasets, 81-90% in primary care datasets and was 67% in mortality datasets. Combining diagnostic and medication codes increased PPV. For parkinsonism, PPV ranged from 36-88% in hospital datasets, 40-74% in prescription datasets, and was 94% in mortality datasets. Sensitivity ranged from 15-73% in single datasets for PD and 43-63% in single datasets for parkinsonism.
conclusionsIn many settings, routinely collected datasets generate good PPVs and reasonable sensitivities for identifying PD and parkinsonism cases. However, given the wide range of identified accuracy estimates, we recommend cohorts conduct their own context-specific validation studies if existing evidence is lacking. Further research is warranted to investigate primary care and medication datasets, and to develop algorithms that balance a high PPV with acceptable sensitivity.
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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.