ArticleBMC nephrology2018
An ontological approach to identifying cases of chronic kidney disease from routine primary care data: a cross-sectional study.
Article in BMC nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Global health inequalities of chronic kidney disease: a meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024Pooled it
- A multi-view validation framework for LLM-generated knowledge graphs of chronic kidney disease.International journal of computer assisted radiology and surgery · 2025Article
- Article
- A comparison of sodium-glucose co-transporter 2 inhibitor kidney outcome trial participants with a real-world chronic kidney disease primary care population.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024Article
- A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules.Health information science and systems · 2024Article
- Phenotype execution and modeling architecture to support disease surveillance and real-world evidence studies: English sentinel network evaluation.JAMIA open · 2024Article
- Implementation of chronic kidney disease guidelines for sodium-glucose co-transporter-2 inhibitor use in primary care in the UK: a cross-sectional study.EClinicalMedicine · 2024Article
- Development and validation of a case definition for problematic menopause in primary care electronic medical records.BMC medical informatics and decision making · 2023Article
- Sodium-Glucose Cotransporter-2 Inhibitor and Glucagon-Like Peptide-1 Receptor Agonist Combination Therapy in Type 2 Diabetes: Protocol for a Kidney End Points Real-world Study (COMBi-KID Study).JMIR research protocols · 2022Article
- A clinical audit of the diagnosis and management of chronic kidney disease in a primary care clinic.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2021Article
- Prescribing sodium-glucose co-transporter-2 inhibitors for type 2 diabetes in primary care: influence of renal function and heart failure diagnosis.Cardiovascular diabetology · 2021Observational
- Excess mortality in the first COVID pandemic peak: cross-sectional analyses of the impact of age, sex, ethnicity, household size, and long-term conditions in people of known SARS-CoV-2 status in England.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020Article
- Household presentation of influenza and acute respiratory illnesses to a primary care sentinel network: retrospective database studies (2013-2018).BMC public health · 2020Article
- COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology.JMIR public health and surveillance · 2020Article
- Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project.Nature reviews. Nephrology · 2020Review
- Disparities in the excess risk of mortality in the first wave of COVID-19: Cross sectional study of the English sentinel network.The Journal of infection · 2020Article
- Clinical Ontologies Improve Case Finding of Primary Biliary Cholangitis in UK Primary and Secondary Care.Digestive diseases and sciences · 2020Article
- Sodium-glucose co-transporter-2 inhibitor cardiovascular outcome trials and generalizability to English primary care.Diabetic medicine : a journal of the British Diabetic Association · 2020Article
- Building confidence in digital health through metrology.The British journal of radiology · 2020Article
- Proposed minimum information guideline for kidney disease-research and clinical data reporting: a cross-sectional study.BMJ open · 2019Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundAccurately identifying cases of chronic kidney disease (CKD) from primary care data facilitates the management of patients, and is vital for surveillance and research purposes. Ontologies provide a systematic and transparent basis for clinical case definition and can be used to identify clinical codes relevant to all aspects of CKD care and its diagnosis.
methodsWe used routinely collected primary care data from the Royal College of General Practitioners Research and Surveillance Centre. A domain ontology was created and presented in Ontology Web Language (OWL). The identification and staging of CKD was then carried out using two parallel approaches: (1) clinical coding consistent with a diagnosis of CKD; (2) laboratory-confirmed CKD, based on estimated glomerular filtration rate (eGFR) or the presence of proteinuria.
resultsThe study cohort comprised of 1.2 million individuals aged 18 years and over. 78,153 (6.4%) of the population had CKD on the basis of an eGFR of < 60 mL/min/1.73m
conclusionsFinding cases of CKD from primary care data using an ontological approach may have greater sensitivity than less comprehensive methods, particularly for identifying those receiving renal replacement therapy or with CKD stages 1 or 2. However, the possibility of inaccurate coding may limit the specificity of this method.
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