Evidence map›Paper›PMID 34908211›Full record

ArticlePharmacoepidemiology and drug safety2022

Accuracy of identifying diagnosis of moderate to severe chronic kidney disease in administrative claims data.

Julie M Paik, Elisabetta Patorno, Min Zhuo, Lily G Bessette, Cassandra York, Nileesa Gautam, Dae Hyun Kim, Seoyoung C Kim

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–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.

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

34 citing papers in PubMed.

  1. Article
  2. Socioeconomic factors and SGLT2 inhibitor initiation in patients with heart failure-a claims data analysis.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
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  17. Osteoporotic fracture risks of thiazides and dihydropyridines in angiotensin modulator users.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
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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

8 authors.

Julie M PaikDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-1315-5445
Elisabetta PatornoDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Min ZhuoDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Lily G BessetteDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Cassandra YorkDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Nileesa GautamDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Dae Hyun KimDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Seoyoung C KimDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-2517-3579

Funding

RESEARCH TRAINING IN NEPHROLOGYT32DK007199 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI POLLAK, MARTIN R. · 1986 to 2022
$6.0M
Novel Approaches to Monitor the Safety and Effectiveness of Newly Marketed Diabetes Medications in Older Adults Considering Frailty and MultimorbidityK08AG055670 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI PATORNO, ELISABETTA · 2018 to 2021
$661k
Mentoring Patient-Oriented Pharmacoepidemiologic Research in Rheumatic DiseasesK24AR078959 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI KIM, SEOYOUNG CATHERINE · 2021 to 2022
$333k
NIAMS NIH HHS K24 AR078959NIA NIH HHS K08 AG055670NIDDK NIH HHS T32 DK007199
6 · The paper itself

Abstract

backgroundPrior validation studies of claims-based definitions of chronic kidney disease (CKD) using ICD-9 codes reported overall low sensitivity, high specificity, and variable but reasonable PPV. No studies to date have evaluated the accuracy of ICD-10 codes to identify a US patient population with CKD.

methodsWe assessed the accuracy of claims-based algorithms to identify adults with CKD Stages 3-5 compared with laboratory values in a subset (~40%) of a US commercial insurance claims database (Optum's de-identified Clinformatics® Data Mart Database). We calculated the positive predictive value (PPV) of one or two ICD-9 (2012-2014) or ICD-10 (2016-2018) codes for CKD compared with a lab-based estimated glomerular filtration rate (eGFR) occurring within prespecified windows (±90 days, ±180 days, ±365 days) of the ICD-based CKD code(s).

resultsThe study population ranged between 104 774 and 161 305 patients (ICD-9 cohorts) and between 285 520 and 373 220 patients (ICD-10 cohorts). The mean age was 74.4 years (ICD-9) and 75.6 years (ICD-10) and the median eGFR was 48 ml/min/1.73 m

conclusionAn ICD-10-based definition of CKD identified with sufficient accuracy a patient population with CKD Stages 3-5. Our findings suggest that claims databases could be used for future real-world research studies in patients with CKD Stages 3-5.

Indexed as

International Classification of DiseasesRenal Insufficiency, ChronicAdultAgedAlgorithmsDatabases, FactualGlomerular Filtration RateHumansPredictive Value of Testschronic kidney diseaseclaims datavalidation study

Identifiers

PMID34908211
PMCPMC8917076

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Registered trials

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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.