Evidence map›Paper›PMID 39781482›Full record

ArticleClinical kidney journal2025

Sex-specific temporal trends in incidence and prevalence of chronic kidney disease: a Danish population-based cohort study.

Anne Høy Seemann Vestergaard, Simon Kok Jensen, Uffe Heide-Jørgensen, Søren Andreas Ladefoged, Henrik Birn, Christian Fynbo Christiansen

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Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Anne Høy Seemann VestergaardDepartment of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-5140-1803
Simon Kok JensenDepartment of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-0032-131X
Uffe Heide-JørgensenDepartment of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-8407-4618
Søren Andreas LadefogedDepartment of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark.ORCID https://orcid.org/0009-0006-8484-7146
Henrik BirnDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0003-3715-7266
Christian Fynbo ChristiansenDepartment of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-0727-953X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rates of chronic kidney disease (CKD) may change with ageing populations, rising metabolic and cardiovascular disease prevalence, increasing CKD awareness and new treatments. We examined sex-specific temporal trends in CKD incidence and prevalence from 2011 through 2021. Methods: We conducted a population-based cohort study among adults residing in the North and Central Denmark Regions (population ∼1.5 million in 2021), utilizing routinely collected individual-level laboratory data. We identified individuals with incident or prevalent CKD, using data on plasma creatinine and urine albumin-creatinine ratios from samples performed in outpatient hospital settings or primary care. We estimated annual sex-specific crude and age-standardized incidence and prevalence and tabulated clinical characteristics. Results: Throughout 2011-2021, CKD incidence and prevalence remained higher among females than males. A transient increase in the crude incidence was observed during 2011-2013, followed by a decrease from 11.8 per 1000 person-years in 2013 [95% confidence interval (CI) 11.5-12.1] to 10.7 in 2021 (95% CI 10.5-11.0) among females and from 10.9 (95% CI 10.7-11.2) to 10.6 (95% CI 10.3-10.8) among males. During 2011-2021, the crude prevalence increased among females from 85.1 per 1000 individuals (95% CI 84.4-85.8) to 99.9 (95% CI 99.2-100.6), and among males from 55.3 (95% CI 54.7-55.9) to 82.4 (95% CI 81.8-83.0). After age standardization, declines in incidence persisted, while the prevalence was stable among females, and the increase persisted among males. Conclusions: The CKD incidence and prevalence remained higher among females than males during 2011-2021. Despite a notable decline in incidence rates from 2013 onwards, the crude prevalence increased during 2011-2021.

Indexed as

chronicepidemiologyhealth status disparitiesrenal insufficiency

Identifiers

PMID39781482
PMCPMC11707384

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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.