Evidence map›Paper›PMID 34353000›Full record

ArticleCancer research and treatment2022

Validation of Cancer Diagnosis Based on the National Health Insurance Service Database versus the National Cancer Registry Database in Korea.

Min Soo Yang, Minae Park, Joung Hwan Back, Gyeong Hyeon Lee, Ji Hye Shin, Kyuwoong Kim, Hwa Jeong Seo, Young Ae Kim

Open access · diamondAbstract read
In one paragraph

Article in Cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
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

100 citing papers in PubMed, 138 citations in OpenAlex.

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  18. Dynamic income patterns and risk of pancreatic and biliary tract cancers: A nationwide cohort study.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026
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40 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

8 authors at 3 institutions in 1 country.

Min Soo YangNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Minae ParkNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Joung Hwan BackHealth Insurance Policy Research Institute, National Health Insurance Service, Wonju, Korea.
Gyeong Hyeon LeeNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Ji Hye ShinNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Kyuwoong KimNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
Hwa Jeong SeoMedical Informatics and Health Technology (MIT), Department of Health Care Management, Gachon University, Seongnam, Korea.
Young Ae KimNational Cancer Control Institute, National Cancer Center, Goyang, Korea.
National Cancer Center · KRGachon University · KRNational Health Insurance Service · KR

Funding

National Cancer Center 1910171
6 · The paper itself

Abstract

purposeThis study aimed to assess the feasibility of operational definitions of cancer patients in conducting cancer-related studies using the claims data from the National Health Insurance Service (NHIS). MATERIALS AND

methodsCancer incidence data were obtained from the Korean Central Cancer Registry, the NHIS primary diagnosis, and from the rare and intractable disease (RID) registration program.

resultsThe operational definition with higher sensitivity for cancer patient verification was different by cancer type. Using primary diagnosis, the lowest sensitivity was found in colorectal cancer (91.5%; 95% confidence interval [CI], 91.7 to 92.0) and the highest sensitivity was found in breast cancer (97.9%; 95% CI, 97.8 to 98.0). With RID, sensitivity was the lowest in liver cancer (91.9%; 95% CI, 91.7 to 92.0) and highest in breast cancer (98.1%; 95% CI, 98.0 to 98.2). In terms of the difference in the date of diagnosis in the cancer registration data, > 80% of the patients showed a < 31-day difference from the RID definition.

conclusionBased on the NHIS data, the operational definition of cancer incidence is more accurate when using the RID registration program claims compared to using the primary diagnosis despite the relatively lower concordance by cancer type requires additional definitions such as treatment.

Indexed as

Breast NeoplasmsNational Health ProgramsDatabases, FactualFemaleHumansRegistriesRepublic of KoreaAdministrative dataClaim dataCohortIncidenceNational Health Insurance ServiceOperational definitionValidation

Identifiers

PMID34353000
PMCPMC9016317
OpenAlexW3192362443

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.