Background: Large prospective studies are essential for investigating the environmental causes of Parkinson's disease (PD), but PD diagnosis via clinical exams is often infeasible in such studies.
Objective: To present case ascertainment strategy and data collection in a US cohort of women.
Methods: In the Sister Study (n = 50,884, baseline ages 55.6±9.0), physician-made PD diagnoses were first reported by participants or their proxies. Cohort-wide follow-up surveys collected data on subsequent diagnoses, medication usage and PD-relevant motor and nonmotor symptoms. We contacted self-reported PD cases and their treating physicians to obtain relevant diagnostic and treatment history. Diagnostic adjudication was made via expert review of all available data, except nonmotor symptoms. We examined associations of nonmotor symptoms with incident PD, using multivariable logistic regression models and reported odds ratio (OR) and 95% confidence intervals (CI).
Results: Of the 371 potential PD cases identified, 242 diagnoses were confirmed. Compared with unconfirmed cases, confirmed cases were more likely to report PD diagnosis from multiple sources, medication usage, and motor and nonmotor features consistently during the follow-up. PD polygenic risk score was associated with confirmed PD (ORinter-quartile range = 1.74, 95% CI: 1.45-2.10), but not with unconfirmed cases (corresponding OR = 1.05). Hyposmia, dream-enacting behaviors, constipation, depression, unexplained weight loss, dry eyes, dry mouth, and fatigue were significantly related to PD risk, with ORs from 1.71 to 4.88. Only one of the eight negative control symptoms was associated with incident PD.
Conclusion: Findings support our PD case ascertainment approach in this large cohort of women. PD prodromal presentation is likely beyond its well-documented profile.
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http://dx.doi.org/10.3233/JPD-230053 | DOI Listing |
Toxicol Sci
January 2025
ToxStrategies LLC, Austin, Texas, USA.
Traditional approaches for quantitatively characterizing uncertainty in risk assessment require adaptation to accommodate increased reliance on observational (vs. experimental) studies in developing toxicity values. Herein, a case study with PFOA and PFOS and vaccine response explores approaches for qualitative and-where possible-quantitative assessments of uncertainty at each step in the toxicity value development process when using observational data, including review and appraisal of individual studies, candidate study selection, dose-response modeling, and application of uncertainty factors.
View Article and Find Full Text PDFJCO Clin Cancer Inform
January 2025
Victorian Cancer Registry, Cancer Council Victoria, Victoria, Australia.
Purpose: Enhancing the speed and efficiency of clinical trial recruitment is a key objective across international health systems. This study aimed to use artificial intelligence (AI) applied in the Victorian Cancer Registry (VCR), a population-based cancer registry, to assess (1) if VCR received all relevant pathology reports for three clinical trials, (2) AI accuracy in auto-extracting information from pathology reports for recruitment, and (3) the number of participants approached for trial enrollment using the AI approach compared with standard hospital-based recruitment.
Methods: To verify pathology report accessibility for VCR trial enrollment, reports from the laboratory were cross-referenced.
Background: Disease modifying therapies (DMTs) for Alzheimer’s disease (AD) have been approved in some countries although these treatments will require substantial health resources for their implementation. Initial capacity planning to identify the resources required to support DMTs begins with estimating the number of people with dementia who may be eligible for DMTs. We estimated the potential number of individuals with dementia who are eligible for DMTs using population‐based data in Alberta, Canada.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Nairobi, Nairobi, Nairobi, Kenya
Background: The recruitment of individuals for Alzheimer’s disease (AD) genetic studies particularly those with low socioeconomic status, and living in rural areas remains a challenge in Sub‐Saharan Africa (SSA), due to stigma‐related cultural beliefs that hinder their participation. The Recruitment and Retention of Alzheimer’s Disease Diversity Genetic Cohorts in the ADSP (READD ‐ ADSP) project is a case‐control genetic epidemiological study involving individuals who are living with AD and disease ‐ free healthy control individuals. The aim is to build a resource that greatly expands Alzheimer’s disease genetic studies in the currently underrepresented African ancestry populations and Hispanic/Latinx individuals.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Urology, NewYork-Presbyterian Hospital/Weill Cornell Medical Center, New York, New York, United States of America.
Purpose: Implicit, unconscious biases in medicine are personal attitudes about race, ethnicity, gender, and other characteristics that may lead to discriminatory patterns of care. However, there is no consensus on whether implicit bias represents a true predictor of differential care given an absence of real-world studies. We conducted the first real-world pilot study of provider implicit bias by evaluating treatment parity in prostate cancer using unstructured data-the most common way providers document granular details of the patient encounter.
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