ArticleClinical epidemiology2019
How well can electronic health records from primary care identify Alzheimer's disease cases?
Article in Clinical epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 54 citations in OpenAlex.
- Observational
- Increased dementia diagnosis and workup in primary care with a bilingual screening tool integrated in the electronic health record.Journal of Alzheimer's disease : JAD · 2026Article
- Longitudinal analysis of electronic health records reveals medical conditions associated with subsequent Alzheimer's disease development.Alzheimer's research & therapy · 2025Article
- Association between neutrophil to lymphocyte ratio and Alzheimer's disease in large biobank cohorts.Journal of Alzheimer's disease : JAD · 2025Article
- Predicting Alzheimer's Disease Diagnosis, a Decade or more Years before Onset using the Electronic Health Record and Random Forest Machine Learning Models.medRxiv : the preprint server for health sciences · 2025Article
- Machine learning to detect Alzheimer's disease with data on drugs and diagnoses.The journal of prevention of Alzheimer's disease · 2025Article
- Longitudinal Analysis of Electronic Health Records Reveals Medical Conditions Associated with Subsequent Alzheimer's Disease Development.medRxiv : the preprint server for health sciences · 2025Article
- Distinct medical and substance use histories associate with cognitive decline in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Psoriasis and dementia: A population-based matched cohort study of adults in England.Annals of clinical and translational neurology · 2025Article
- Distinct medical and substance use histories associate with cognitive decline in Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2024Article
- Improving genetic risk modeling of dementia from real-world data in underrepresented populations.Communications biology · 2024Article
- Challenges and solutions of conducting dementia clinical trials: A palliative care at home pilot for persons with dementia.Journal of the American Geriatrics Society · 2024Article
- Sex matters in the association between cardiovascular health and incident dementia: evidence from real world data.Alzheimer's research & therapy · 2024Article
- Sildenafil as a Candidate Drug for Alzheimer's Disease: Real-World Patient Data Observation and Mechanistic Observations from Patient-Induced Pluripotent Stem Cell-Derived Neurons.Journal of Alzheimer's disease : JAD · 2024Article
- Early prediction of Alzheimer's disease and related dementias using real-world electronic health records.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Article
- Dementia in health claims data: The influence of different case definitions on incidence and prevalence estimates.International journal of methods in psychiatric research · 2023Article
- Population-based discovery and Mendelian randomization analysis identify telmisartan as a candidate medicine for Alzheimer's disease in African Americans.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Article
- Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias.International journal of medical informatics · 2023Article
- Real-world data in primary care: validation of diagnosis of atrial fibrillation in primary care electronic medical records and estimated prevalence among consulting patients'.BMC primary care · 2023Article
- Data Resource Profile: The Information System for Research in Primary Care (SIDIAP).International journal of epidemiology · 2022Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundElectronic health records (EHR) from primary care are emerging in Alzheimer's disease (AD) research, but their accuracy is a concern. We aimed to validate AD diagnoses from primary care using additional information provided by general practitioners (GPs), and a register of dementias. PATIENTS AND
methodsThis retrospective observational study obtained data from the System for the Development of Research in Primary Care (SIDIAP). Three algorithms combined International Statistical Classification of Diseases (ICD-10) and Anatomical Therapeutic Chemical codes to identify AD cases in SIDIAP. GPs evaluated dementia diagnoses by means of an online survey. We linked data from the Register of Dementias of Girona and from SIDIAP. We estimated the positive predictive value (PPV) and sensitivity and provided results stratified by age, sex and severity.
resultsUsing survey data from the GPs, PPV of AD diagnosis was 89.8% (95% CI: 84.7-94.9). Using the dataset linkage, PPV was 74.8 (95% CI: 73.1-76.4) for algorithm A1 (AD diagnoses), and 72.3 (95% CI: 70.7-73.9) for algorithm A3 (diagnosed or treated patients without previous conditions); sensitivity was 71.4 (95% CI: 69.6-73.0) and 83.3 (95% CI: 81.8-84.6) for algorithms A1 (AD diagnoses) and A3, respectively. Stratified results did not differ by age, but PPV and sensitivity estimates decreased amongst men and severe patients, respectively.
conclusionsPPV estimates differed depending on the gold standard. The development of algorithms integrating diagnoses and treatment of dementia improved the AD case ascertainment. PPV and sensitivity estimates were high and indicated that AD codes recorded in a large primary care database were sufficiently accurate for research purposes.
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