ArticleJournal of the American Geriatrics Society2020
Development and Validation of eRADAR: A Tool Using EHR Data to Detect Unrecognized Dementia.
Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 66 papers, 3 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.
A Telehealth Advance Care Planning Intervention in Those With Mild Cognitive Impairment or Unrecognized Dementia (Tele Voice)
Low-cost Detection of Dementia Using Electronic Health Records Data: Validation and Testing of the eRADAR Algorithm in a Pragmatic, Patient-centered Trial.
Low-cost Detection of Dementia Using Electronic Health Records Data: Validation and Testing of the Electronic Health Record Risk of Alzheimer's and Dementia Assessment Rule (eRADAR) Algorithm in a Pragmatic, Patient-centered Trial.
Who cites it
66 citing papers in PubMed, 3 syntheses or guidelines pooled it, 93 citations in OpenAlex.
- Electronic health record-based prediction models for dementia detection: a systematic review of model performance and quality.Journal of the American Medical Informatics Association : JAMIA · 2026Pooled it
- Discriminative performance of externally validated dementia risk prediction models: a systematic review and meta-analysis.BMC medicine · 2026Pooled it
- Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review.JMIR medical informatics · 2025Pooled it
- Machine learning-assisted screening for cognitive impairment in the emergency department.Journal of the American Geriatrics Society · 2022Trial
- Risk of Dementia With Renin-Angiotensin System Inhibitors Versus Calcium Channel Blockers in Hypertensive Adults: A Nationwide Multicenter Study.Drugs & aging · 2026Article
- Assigning Probable Dementia Status Using Routinely Collected Electronic Health Record Data.Journal of the American Geriatrics Society · 2026Article
- Using large language models to enhance clinically-driven missing data recovery algorithms in electronic health records.JAMIA open · 2026Article
- Accelerating real-world prediction and research in Alzheimer's: The M3AD study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- An Electronic Health Record Algorithm's Performance to Identify Cognitive Impairment in Primary Care.Journal of the American Medical Directors Association · 2026Article
- Acoustic Analysis of Primary Care Patient-provider Conversations to Screen for Cognitive Impairment.medRxiv : the preprint server for health sciences · 2025Article
- Navigating the future of artificial intelligence technologies for improving the care of older adults.Innovation in aging · 2025Article
- Fair positive unlabeled learning for predicting undiagnosed Alzheimer's disease in diverse electronic health records.NPJ digital medicine · 2025Article
- Design and protocol of a pragmatic clinical trial to improve cognitive impairment detection in primary care.Contemporary clinical trials · 2025Article
- Real-world health care costs and resource utilization associated with mild cognitive impairment in the United States: A retrospective cohort study of commercial and Medicare data.Journal of managed care & specialty pharmacy · 2025Article
- The Impact of Cognitive Impairment on Cardiovascular Disease.Journal of the American College of Cardiology · 2025Review
- CEDART Study: protocol for a non-randomized feasibility study.Research square · 2025Article
- Dual-stream algorithms for dementia detection: Harnessing structured and unstructured electronic health record data, a novel approach to prevalence estimation.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Detection Bias in EHR-Based Research on Clinical Exposures and Dementia.JAMA network open · 2025Article
- Characteristics, Complications, and Outcomes of Critical Illness in Patients with Parkinson Disease.Neurocritical care · 2025Article
- Paving the way for Alzheimer's disease blood-based biomarkers in primary care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
6 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
objectivesEarly recognition of dementia would allow patients and their families to receive care earlier in the disease process, potentially improving care management and patient outcomes, yet nearly half of patients with dementia are undiagnosed. Our aim was to develop and validate an electronic health record (EHR)-based tool to help detect patients with unrecognized dementia (EHR Risk of Alzheimer's and Dementia Assessment Rule [eRADAR]).
designRetrospective cohort study.
settingKaiser Permanente Washington (KPWA), an integrated healthcare delivery system.
participantsA total of 16 665 visits among 4330 participants in the Adult Changes in Thought (ACT) study, who undergo a comprehensive process to detect and diagnose dementia every 2 years and have linked KPWA EHR data, divided into development (70%) and validation (30%) samples. MEASUREMENTS: EHR predictors included demographics, medical diagnoses, vital signs, healthcare utilization, and medications within the previous 2 years. Unrecognized dementia was defined as detection in ACT before documentation in the KPWA EHR (ie, lack of dementia or memory loss diagnosis codes or dementia medication fills).
resultsOverall, 1015 ACT visits resulted in a diagnosis of incident dementia, of which 498 (49%) were unrecognized in the KPWA EHR. The final 31-predictor model included markers of dementia-related symptoms (eg, psychosis diagnoses, antidepressant fills), healthcare utilization pattern (eg, emergency department visits), and dementia risk factors (eg, cerebrovascular disease, diabetes). Discrimination was good in the development (C statistic = .78; 95% confidence interval [CI] = .76-.81) and validation (C statistic = .81; 95% CI = .78-.84) samples, and calibration was good based on plots of predicted vs observed risk. If patients with scores in the top 5% were flagged for additional evaluation, we estimate that 1 in 6 would have dementia.
conclusionThe eRADAR tool uses existing EHR data to detect patients with good accuracy who may have unrecognized dementia. J Am Geriatr Soc 68:103-111, 2019.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.