ReviewClinical kidney journal2021
Health claims databases used for kidney research around the world.
Review in Clinical kidney journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- End-of-life healthcare utilisation and costs of older patients on kidney replacement therapy - analysis of Dutch health insurance claims data.BMC nephrology · 2025Article
- Incidence and risk of cancer emergence among patients post-kidney transplantation in Japan.Clinical and experimental nephrology · 2025Observational
- Article
- Prevalence of chronic kidney disease in France: methodological considerations and pitfalls with the use of Health claims databases.Clinical kidney journal · 2024Article
- Prevalence, Cardiometabolic Comorbidities and Reporting of Chronic Kidney Disease; A Hungarian Cohort Analysis.International journal of public health · 2023Article
- Deficiencies in the Recognition and Reporting of Chronic Kidney Disease in Patients With Type 2 Diabetes Mellitus; A Hungarian Nationwide Analysis.International journal of public health · 2023Article
- Tracing all patients who received insured dialysis treatment in Japan and the present situation of their number of deaths.Clinical and experimental nephrology · 2022Article
- Farewell from theClinical kidney journal · 2022Article
- Differences in Hospitalization Outcomes of Kidney Disease between Patients Who Received Care by Nephrologists and Non-Nephrologist Physicians: A Propensity-Score-Matched Study.Journal of clinical medicine · 2021Article
- Premature birth carries a higher risk of nephrotic syndrome: a cohort study.Scientific reports · 2021Article
- Association between Dental Scaling and Reduced Risk of End-Stage Renal Disease: A Nationwide Matched Cohort Study.International journal of environmental research and public health · 2021Article
- Health Care Resource Utilization and Productivity Impairment in Adults with Immunoglobulin A Nephropathy: A Real-World, Observational, Global Analysis.Glomerular diseasesArticle
- Burden of Glomerular Diseases in Australia: A Data Linkage Study.Kidney diseases (Basel, Switzerland)Article
- Italian healthcare resource consumption for patients on hemodialysis treated for chronic kidney disease-associated pruritus (CKD-aP).Global & regional health technology assessmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Health claims databases offer opportunities for studies on large populations of patients with kidney disease and health outcomes in a non-experimental setting. Among others, their unique features enable studies on healthcare costs or on longitudinal, epidemiological data with nationwide coverage. However, health claims databases also have several limitations. Because clinical data and information on renal function are often lacking, the identification of patients with kidney disease depends on the actual presence of diagnosis codes only. Investigating the validity of these data is therefore crucial to assess whether outcomes derived from health claims data are truly meaningful. Also, one should take into account the coverage and content of a health claims database, especially when making international comparisons. In this article, an overview is provided of international health claims databases and their main publications in the area of nephrology. The structure and contents of the Dutch health claims database will be described, as well as an initiative to use the outcomes for research and the development of the Dutch Kidney Atlas. Finally, we will discuss to what extent one might be able to identify patients with kidney disease using health claims databases, as well as their strengths and limitations.
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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.