Evidence map›Paper›PMID 41787820›Full record

ReviewEndocrinology and metabolism (Seoul, Korea)2026

Nationwide Big Data Studies of Endocrine Diseases Using the Korean National Health Information Database: Research Trends and Standardization of Operational Definitions.

Sun Wook Cho, Jung Hee Kim, Kyoung Jin Kim, Beom-Jun Kim, Mee Kyoung Kim, Eun Jung Rhee

Abstract readReview
In one paragraph

Review in Endocrinology and metabolism (Seoul, Korea), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Diabetes progression and its association with fracture risk in type 2 diabetes.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    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.

Sun Wook Cho *Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Jung Hee Kim *Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Kyoung Jin Kim *Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Korea.
Beom-Jun KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Mee Kyoung KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. makung@catholic.ac.kr.
Eun Jung RheeDepartment of Endocrinology and Metabolism, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea. hongsiri@hanmail.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Korean National Health Information Database (NHID) is a large-scale dataset created through linkage of National Health Insurance claims with nationwide health screening records. Because it is released in a cohort-based format, the NHID enables longitudinal follow-up and allows investigation of rare endocrine conditions with low population prevalence. Mortality data, including both dates and causes of death, are additionally obtained through linkage with Statistics Korea. Over recent years, use of the NHID has expanded rapidly, establishing it as a major resource for epidemiological research in endocrinology. Nevertheless, because the database was originally developed for administrative and screening purposes rather than for research, investigators face several methodological limitations, particularly the need to construct and validate robust operational definitions of diseases. In this review, we describe the key features of the Korean NHID, summarize operational definitions of endocrine disorders that have been applied in prior research, and provide an overview of recent endocrine studies conducted using this database.

Indexed as

Big DataDatabases, FactualEndocrine System DiseasesHumansRepublic of KoreaDatabasesDiabetes mellitusEndocrine system diseasesObesityOsteoporosisThyroid diseases

Identifiers

PMID41787820
PMCPMC12963767

What OpenQuestion holds

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LicenceCC BY-NC
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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.