Evidence map›Paper›PMID 29580576›Full record

ReviewAdvances in chronic kidney disease2018

The Global Epidemiology of Diabetes and Kidney Disease.

Digsu N Koye, Dianna J Magliano, Robert G Nelson, Meda E Pavkov

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Advances in chronic kidney disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 360 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
360citing papers in PubMed, 8 pooled it
24.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

360 citing papers in PubMed, 8 syntheses or guidelines pooled it, 654 citations in OpenAlex.

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300 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 3 countries.

Digsu N KoyeDepartment of Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia; Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ; and Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA.
Dianna J MaglianoDepartment of Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia; Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ; and Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA.
Robert G NelsonDepartment of Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia; Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ; and Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA.
Meda E PavkovDepartment of Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia; Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ; and Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA. Electronic address: mpavkov@cdc.gov.
Centers for Disease Control and Prevention · USNational Institutes of Health · US

Funding

Epidemiology, Pathophysiology and Treatment of Diabetic NephropathyZIADK069062 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI NELSON, ROBERT G · 2009 to 2023
$10.1M
Intramural CDC HHS CC999999
6 · The paper itself

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.

Indexed as

Diabetic NephropathiesGlobal HealthDiabetes Mellitus, Type 2HumansPrevalenceChronic kidney diseaseDiabetesEpidemiologyIncidencePrevalence

Identifiers

PMID29580576
PMCPMC11000253
OpenAlexW2790284551

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.