ArticleClinical kidney journal2024
Prevalence of chronic kidney disease in France: methodological considerations and pitfalls with the use of Health claims databases.
Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Gestational Diabetes Mellitus and Incident Kidney Disease: A Nationwide French Cohort Study.Kidney360 · 2026Article
- Optimization of the Convective Dose in On-Line Hemodiafiltration: Prospective Interventional Cohort Study-Conducted at Soissons Hospital, France.Diseases (Basel, Switzerland) · 2026Article
- Prognostic Value of Claims Data for Chronic Kidney Disease-Associated Health Risks.Kidney & blood pressure research · 2026Article
- Sub-national disparities in disease burden of diabetes mellitus and chronic kidney disease in France: a pre-pandemic analysis.Archives of public health = Archives belges de sante publique · 2025Article
- The evolution of consultation practices with general practitioners and nephrologists for patients with chronic kidney disease before and after the COVID-19 pandemic in France.Journal of nephrology · 2025Article
- The 60:40 conundrum: are women with CKD discriminated after referral to a nephrology clinic?Clinical kidney journal · 2025Article
- High unawareness of kidney dysfunction in European older adults and the importance of early detection through comorbidities.PloS one · 2025Article
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16 authors.
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Abstract
Background: Health policy-making require careful assessment of chronic kidney disease (CKD) epidemiology to develop efficient and cost-effective care strategies. The aim of the present study was to use the RENALGO-EXPERT algorithm to estimate the global prevalence of CKD in France. Methods: An expert group developed the RENALGO-EXPERT algorithm based on healthcare consumption. This algorithm has been applied to the French National Health claims database (SNDS), where no biological test findings are available to estimate a national CKD prevalence for the years 2018-2021. The CONSTANCES cohort (+219 000 adults aged 18-69 with one CKD-EPI eGFR) was used to discuss the limit of using health claims data. Results: Between 2018 and 2021, the estimated prevalence in the SNDS increased from 8.1% to 10.5%. The RENALGO-EXPERT algorithm identified 4.5% of the volunteers in the CONSTANCES as CKD. The RENALGO-EXPERT algorithm had a positive predictive value of 6.2% and negative predictive value of 99.1% to detect an eGFR<60 ml/min/1.73 m². Half of 252 false positive cases (ALGO+, eGFR > 90) had been diagnosed with kidney disease during hospitalization, and the other half based on healthcare consumption suggestive of a 'high-risk' profile; 95% of the 1661 false negatives (ALGO-, eGFR < 60) had an eGFR between 45 and 60 ml/min, half had medication and two-thirds had biological exams possibly linked to CKD. Half of them had a hospital stay during the period but none had a diagnosis of kidney disease. Conclusions: Our result is in accordance with other estimations of CKD prevalence in the general population. Analysis of diverging cases (FP and FN) suggests using health claims data have inherent limitations. Such an algorithm can identify patients whose care pathway is close to the usual and specific CKD pathways. It does not identify patients who have not been diagnosed or whose care is inappropriate or at early stage with stable GFR.
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