Evidence map›Paper›PMID 41188999›Full record

ArticleArthritis research & therapy2025

The SCRIM score: a clinical tool for cancer risk-stratification in patients with idiopathic inflammatory myopathy.

Yun Kyu Kim, Jung Yoon Pyo, Ju Yeon Kim, Min Jung Kim, Su-Jin Yoo, Seo Young Park, Jin Kyun Park, Eun Young Lee, Yun Jong Lee, Seong Wook Kang and 3 more

Abstract read
In one paragraph

Article in Arthritis research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yun Kyu Kim *Division of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Jung Yoon Pyo *Division of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea.
Ju Yeon KimDivision of Rheumatology, Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong-si, Gyeonggi-do, Republic of Korea.
Min Jung KimDivision of Rheumatology, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University, Boramae Medical Center, Seoul, Republic of Korea.
Su-Jin YooDivision of Rheumatology, Department of Internal Medicine, Chungnam National University College of Medicine, 282 Munhwa-ro, Jung-gu, Daejeon, 35015, Republic of Korea.
Seo Young ParkDepartment of Statistics and Data Science, Korea National Open University, Seoul, Republic of Korea.
Jin Kyun ParkDivision of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Eun Young LeeDivision of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Yun Jong LeeDivision of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea.
Seong Wook KangDivision of Rheumatology, Department of Internal Medicine, Chungnam National University College of Medicine, 282 Munhwa-ro, Jung-gu, Daejeon, 35015, Republic of Korea.
Eun Bong LeeDivision of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Jinhyun KimDivision of Rheumatology, Department of Internal Medicine, Chungnam National University College of Medicine, 282 Munhwa-ro, Jung-gu, Daejeon, 35015, Republic of Korea. md228@hanmail.net.ORCID 0000-0001-5235-2612
Jun Won ParkDivision of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. mpersonality@gmail.com.ORCID 0000-0002-8624-2582

Funding

National Research Foundation of Korea RS-2023-00251803Seoul National University 800-20210279
6 · The paper itself

Abstract

backgroundAlthough patients with idiopathic inflammatory myopathy (IIM) have a higher cancer risk than the general population, this risk varies among IIM patients based on clinical factors such as IIM subtype, clinical features, and autoantibody profiles. This study aimed to establish a risk-stratification system to identify those with high-risk for cancer in patients with IIM.

methodsThis study included 481 patients with IIMs from four independent cohorts in South Korea. The primary outcome was myositis-associated cancer, defined as cancers occurring within 3 years before or after the diagnosis of IIM. Logistic regression with Least Absolute Shrinkage and Selection Operator (LASSO) regularization was used to select predictors from 24 prespecified factors for the multivariable model. A scoring system, entitled the SCRIM score, was established based on the β coefficient of each predictor in the final model. A conditional inference tree analysis was used to identify the optimal cut-off point for group classifications. The cancer risk of each group compared to that of the general population was assessed using standardized incidence ratio (SIR), which was calculated using the 2022 age-matched general population in South Korea as the reference.

resultsIn the study population, 12.9% (n = 62) had myositis-associated cancer. The LASSO regression identified older age, male sex, current smoking status, dermatomyositis, and anti-TIF1γ as high-risk factors for cancer; however, anti-synthetase syndrome, overlap myositis, arthritis, and interstitial lung disease were associated with a lower cancer risk. The SCRIM score based on these factors showed excellent performance (AUROC 0.852 [95% CI 0.796-0.907]). Patients were stratified into the low-risk, intermediate-risk, and high-risk groups based on the SCRIM score, and the incidence of myositis-associated cancer increased significantly in a stepwise manner across groups. Patients in the low-risk group had a cancer incidence comparable to that of the general population (SIR 0.79), whereas those in the intermediate-risk (SIR 2.28) and high-risk (SIR 15.30) groups had significantly higher cancer incidences.

conclusionThe SCRIM score precisely stratified the risk of myositis-associated cancer for patients with IIM, which can be an important basis for establishing an evidence-based screening cancer strategy.

Indexed as

MyositisNeoplasmsAdultAgedCohort StudiesFemaleHumansIncidenceMaleMiddle AgedRepublic of KoreaRisk AssessmentRisk Factors

Identifiers

PMID41188999
PMCPMC12584220

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