Evidence map›Paper›PMID 41916953›Full record

ArticleBlood cancer journal2026

Development and multinational validation of a multiple myeloma-specific comorbidity index using real-world cohorts: CAREMM-2108.

Suein Choi, Ja Min Byun, Si Eun Oh, Jinseon Han, Seungpil Jung, Seunghoon Han, Seung-Hwan Shin, Seung-Ah Yahng, Young-Woo Jeon, Jian Li and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Blood cancer journal, 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
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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

14 authors.

Suein Choi *Department of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-5438-7819
Ja Min Byun *Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-1780-5553
Si Eun OhDepartment of Hematology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jinseon HanDepartment of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seungpil JungDepartment of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seunghoon HanDepartment of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seung-Hwan ShinCatholic Research Network for Multiple Myeloma, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-8472-7041
Seung-Ah YahngCatholic Research Network for Multiple Myeloma, Seoul, Republic of Korea.
Young-Woo JeonCatholic Research Network for Multiple Myeloma, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-3362-8200
Jian LiAlfred Hospital, Melbourne, VIC, Australia.
Sung-Soo ParkDepartment of Hematology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. sspark@catholic.ac.kr.ORCID http://orcid.org/0000-0002-8826-4136
Kazuhito SuzukiDivision of Clinical Oncology and Hematology, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan. kaz-suzuki@jikei.ac.jp.ORCID http://orcid.org/0000-0002-0300-378X
Chang-Ki MinDepartment of Hematology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Catholic Research Network for Multiple Myeloma

Funding

Ministry of Food and Drug Safety (MFDS) RS-2023-00216446Ministry of Food and Drug Safety (MFDS) RS-2024-00331810
6 · The paper itself

Abstract

backgroundFrailty and comorbidity substantially influence clinical outcomes in patients with multiple myeloma (MM), yet existing tools such as the IMWG frailty score and Charlson Comorbidity Index (CCI) have limitations in real-world applicability and disease specificity.

objectiveTo develop and externally validate a multiple myeloma-specific comorbidity index (MM-CI) using real-world data from Korean and Japanese cohorts. MATERIALS AND

methodsThis retrospective study was conducted in two parts: (I) development of MM-CI using a nationwide Korean claims cohort of 17,273 MM patients diagnosed between 2007 and 2022; and (II) external validation using two independent multicenter registry cohorts: 1473 Korean patients (2010-2021) and 314 Japanese patients (2008-2023). Multivariable Cox regression was performed incorporating key clinical factors, including ECOG performance status, R2-ISS stage, and frontline treatment intensity.

resultsThe MM-CI was derived from eight variables: male sex; age 60-69, 70-79, and ≥80 years; congestive heart failure, cerebrovascular disease, hepatic disease, and cancer: 1 × (Sex: Male) + 2 × (Age: 60-69 years) + 4 × (Age: 70-79 years) + 6 × (Age ≥80 years) + 2 × (Congestive heart failure: Yes) + 1 × (Cerebrovascular disease: Yes) + 1 × (Hepatic disease: Yes) + 1 × (Cancer: Yes). Risk scores stratified patients into four groups: low (0-2), intermediate-I (3-4), intermediate-II (5), and high (≥6), with corresponding median overall survival (OS) of 72.5, 43.8, 30.9, and 20.3 months, respectively. Validation analyses demonstrated superior predictive performance of the MM-CI (AUC: 0.637) compared to the conventional age-adjusted CCI (AUC: 0.613) and the concise CCI used in the IMWG frailty score (AUC: 0.569). The MM-CI remained independently prognostic after adjustment for ECOG, R2-ISS, and treatment intensity.

conclusionThe MM-CI provides a simple, objective, and clinically applicable tool for comorbidity-based risk stratification in MM. It outperforms existing models and may support treatment decisions in real-world practice.

Indexed as

Multiple MyelomaAgedAged, 80 and overComorbidityFemaleHumansJapanMaleMiddle AgedPrognosisRepublic of KoreaRetrospective Studies

Identifiers

PMID41916953
PMCPMC13039523

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.