Cited by 686Chronic Kidney Disease and DiabetesDiabetes, Cardiovascular Risks, and LipoproteinsDialysis and Renal Disease Management

The Global Epidemiology of Diabetes and Kidney Disease

Open access
Koye, Digsu N., Magliano, Dianna J., Nelson, Robert G., Pavkov, Meda E.·2018·Advances in Chronic Kidney Disease

Abstract

The prevalence of diabetes is increasing worldwide, with the greatest increases occurring in low- and middle-income countries. In most developed countries, type 2 diabetes is presently the leading cause of end-stage renal disease and also contributes substantially to cardiovascular disease. In countries with weaker economies type 2 diabetes is rapidly replacing communicable diseases as a leading cause of kidney disease and is increasingly competing for scarce health care resources. Here, we present a narrative review of the prevalence and incidence of diabetes-related kidney disease worldwide. Mortality among those with diabetes and kidney disease will also be explored. Given the high morbidity and mortality associated with chronic kidney disease, we will also examine the level of awareness of this disease among people who have it.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1053/j.ackd.2017.10.011

Cites

108 of 108 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

3 of the 111 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. [96]2017 USRDS Annual Data Report: Executive Summary. Chapter 2: Identification and Care of Patients With CKD. Am J Kidney Dis. 2018; 71(3): S31– S46.

Cited by

Sorted by citations

Authors
Koye, D. N., Magliano, D. J., Nelson, R. G., & Pavkov, M. E.
Affiliations
Centers for Disease Control and Prevention (US)
Corresponding author
Pavkov, Meda E.
Venue
Advances in Chronic Kidney Disease
Publisher
Elsevier BV
Published
2018-03
Volume
25
Issue
2
Pages
121-132
ISSN
1548-5595 (ISSN-L)
OpenAlex
W2790284551
Cited by
686
References
111
Citations by year
2026: 79 · 2025: 111 · 2024: 137 · 2023: 109 · 2022: 101 · 2021: 78 · 2020: 44 · 2019: 19 · 2018: 7
FWCI
6.35
Type
journal article
Language
en
Open access
Locations
  • Advances in Chronic Kidney Disease (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institutes of Health (CC999999)
Topics
  • Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
Keywords
diabetes mellitus, chronic kidney disease, type 2 diabetes, end-stage renal disease, diabetes prevalence, diabetes incidence, diabetes mortality, cardiovascular disease, low- and middle-income countries, disease awareness
MeSH terms
Diabetes Mellitus, Type 2, Diabetic Nephropathies, Humans, Global Health, Prevalence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review