Evidence map›Paper›PMID 37217263›Full record

Observational studyBMJ open2023

Prevalence of undiagnosed stage 3 chronic kidney disease in France, Germany, Italy, Japan and the USA: results from the multinational observational REVEAL-CKD study.

Navdeep Tangri, Toshiki Moriyama, Markus P Schneider, Jean Blaise Virgitti, Luca De Nicola, Matthew Arnold, Salvatore Barone, Emily Peach, Eric Wittbrodt, Hungta Chen and 2 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04847531 (REVEAL-CKD), which is not on this map. Cited by 83 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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.

NCT04847531 completednot on this map

REVEAL-CKD: A Retrospective, Multinational Observational Study to Determine the Prevalence and Consequences of Undiagnosed Chronic Kidney Disease

TypeobservationalSponsorAstraZenecaRan2020 to 2023Enrolled1,006,361ConditionsChronic Kidney Disease
3 · Its place in the literature

Who cites it

83 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
  5. Observational
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  12. A Microsimulation-Based Approach for Mitigating Societal Bias in Chronic Kidney Disease Data.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
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  13. Observational
  14. Review
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23 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

12 authors.

Navdeep TangriDepartment of Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada ntangri@sogh.mb.ca.ORCID 0000-0002-5075-6370
Toshiki MoriyamaDepartment of Nephrology, Osaka University, Suita, Osaka, Japan.
Markus P SchneiderDepartment of Nephrology and Hypertension, Erlangen University Hospital, Erlangen, Germany.
Jean Blaise VirgittiCabinet Médical, Orry-La-Ville, France.
Luca De NicolaDepartment of Advanced Medical and Surgical Sciences, Nephrology and Dialysis Unit, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Italy.
Matthew ArnoldReal World Evidence Data & Analytics, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Salvatore BaroneGlobal Medical Affairs, BioPharmaceuticals Medical, AstraZeneca, Gaithersburg, Maryland, USA.
Emily PeachCardiovascular, Renal and Metabolism Epidemiology, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Eric WittbrodtCardiovascular, Renal and Metabolism Medical Affairs, BioPharmaceuticals Medical, AstraZeneca, Gaithersburg, Maryland, USA.
Hungta ChenMedical/Payer Evidence Statistics, BioPharmaceuticals Medical, AstraZeneca, Gaithersburg, Maryland, USA.
Krister JärbrinkCardiovascular, Renal and Metabolism Evidence, BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden.
Pamela KushnerDepartment of Family Medicine, University of California Irvine Medical Center, Orange, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesREVEAL-CKD aims to estimate the prevalence of, and factors associated with, undiagnosed stage 3 chronic kidney disease (CKD).

designMultinational, observational study.

settingData from six country-specific electronic medical records and/or insurance claims databases from five countries (France, Germany, Italy, Japan and the USA [two databases]).

participantsEligible participants (≥18 years old) had ≥2 consecutive estimated glomerular filtration rate (eGFR) measurements (calculated from serum creatinine values, sex and age) taken from 2015 onwards that were indicative of stage 3 CKD (≥30 and <60 mL/min/1.73 m

main outcome measuresThe primary outcome was point prevalence of undiagnosed stage 3 CKD. Time to diagnosis was assessed using the Kaplan-Meier approach. Factors associated with lacking a CKD diagnosis and risk of diagnostic delay were assessed using logistic regression adjusted for baseline covariates.

resultsThe prevalence of undiagnosed stage 3 CKD was 95.5% (19 120/20 012 patients) in France, 84.3% (22 557/26 767) in Germany, 77.0% (50 547/65 676) in Italy, 92.1% (83 693/90 902) in Japan, 61.6% (13 845/22 470) in the US Explorys Linked Claims and Electronic Medical Records Data database and 64.3% (161 254/250 879) in the US TriNetX database. The prevalence of undiagnosed CKD increased with age. Factors associated with undiagnosed CKD were female sex (vs male, range of odds ratios across countries: 1.29-1.77), stage 3a CKD (vs 3b, 1.81-3.66), no medical history (vs a history) of diabetes (1.26-2.77) or hypertension (1.35-1.78).

conclusionsThere are substantial opportunities to improve stage 3 CKD diagnosis, particularly in female patients and older patients. The low diagnosis rates in patients with comorbidities that put them at risk of disease progression and complications require attention.

trial registrationNCT04847531.

Indexed as

Delayed DiagnosisRenal Insufficiency, ChronicAdolescentDisease ProgressionFemaleGlomerular Filtration RateHumansJapanMalePrevalenceRisk FactorsAdult nephrologyChronic renal failureEPIDEMIOLOGYNEPHROLOGY

Identifiers

PMID37217263
PMCPMC10230905

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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.