Evidence map›Paper›PMID 42614787›Full record

ArticleAnnals of clinical epidemiology2026

Linkage of medical administrative claims and long-term care claims in DeSC database.

Yoshihisa Miyamoto, Akira Okada, Yusuke Sasabuchi

Abstract read
In one paragraph

Article in Annals of clinical epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yoshihisa MiyamotoDepartment of Real-World Evidence, The University of Tokyo, Tokyo, Japan.
Akira OkadaDepartment of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yusuke SasabuchiDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The DeSC database, launched in 2020 by DeSC Healthcare Co., Ltd. is a commercially available Japanese administrative medical claims and health checkup database. Recently, long-term care insurance (LTCI) claims data-covering care-need levels, monthly care benefits, service utilization, and cost information-have been integrated into the database. We showed that the distributions of the seven care-need levels were highly similar between the DeSC database and the official report by the Ministry of Health, Labour and Welfare. This similarity supports the representativeness and reliability of the DeSC database for epidemiological analyses using care-need status, particularly in the Advanced Elderly Medical Service System. This integrated dataset bridges critical information gaps and offers substantial advantages for health services research and epidemiological studies through individual-level linkage of medical, pharmacy, and LTCI claims. This study provides an overview of the LTCI claims data and available data items in the DeSC database and discusses future research prospects, with a particular focus on the linkage between medical and LTCI claims.

Indexed as

claims dataDeSC databaselong-term care insurance

Identifiers

PMID42614787
PMCPMC13482527

What OpenQuestion holds

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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.