Evidence map›Paper›PMID 41525008›Full record

Observational studyClinical and experimental nephrology2026

Validation of diagnostic coding for chronic kidney disease using a Japanese hospital-based database.

Momiji Otani-Kono, Shungo Imai, Masami Tsuchiya, Satoru Mitsuboshi, Hayato Kizaki, Satoko Hori

Abstract readObservational StudyValidation Study
PubMed Publisher
In one paragraph

Observational study in Clinical and experimental nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Momiji Otani-KonoDivision of Drug Informatics, Faculty of Pharmacy, Keio University, Tokyo, Japan.
Shungo ImaiDivision of Drug Informatics, Faculty of Pharmacy, Keio University, Tokyo, Japan. s-imai@keio.jp.ORCID http://orcid.org/0000-0001-5706-613X
Masami TsuchiyaDivision of Drug Informatics, Faculty of Pharmacy, Keio University, Tokyo, Japan.
Satoru MitsuboshiDepartment of Pharmacy, Kaetsu Hospital, Niigata, Japan.
Hayato KizakiDivision of Drug Informatics, Faculty of Pharmacy, Keio University, Tokyo, Japan.
Satoko HoriDivision of Drug Informatics, Faculty of Pharmacy, Keio University, Tokyo, Japan.

Funding

Japan Society for the Promotion of Science JP25K18686
6 · The paper itself

Abstract

backgroundThe validity of the International Classification of Diseases 10th Revision (ICD-10) codes for chronic kidney disease (CKD) in Japan have not been evaluated. In this study we evaluated the validity of CKD-related ICD-10 codes in Japan.

methodsThis retrospective cohort study used the JMDC hospital-based database, which comprises claims and laboratory data from over 1,000 medical institutions in Japan. Patients who underwent two serum creatinine measurements between April 2014 and August 2022 were identified; the second measurement was obtained 90-365 days after the first. The estimated glomerular filtration rate (eGFR) was calculated. CKD was defined by the Kidney Disease: Improving Global Outcomes (KDIGO) criteria: an eGFR < 60 mL/min/1.73 m

resultsAmong the 618,208 included patients, 59,139 were assigned CKD-related ICD-10 codes and 172,657 met the KDIGO criteria. The overall PPV, sensitivity, specificity, and NPV were 57.9%, 19.8%, 94.4%, and 75.2%, respectively. In contrast, the PPVs of N183, N184, N185, and N189 exceeded 80%.

conclusionsIn Japan, the PPV of the ICD-10 codes for CKD was 57.9%, marginally lower than values reported in the United States (86.1%) and Canada (60.1%). Several ICD-10 codes may be useful for identifying patients with CKD, despite their limited sensitivity.

Indexed as

Clinical CodingInternational Classification of DiseasesRenal Insufficiency, ChronicAgedCreatinineDatabases, FactualFemaleGlomerular Filtration RateHumansJapanMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective StudiesCreatinineChronic kidney diseaseHospital‐based databasePositive predictive value

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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.