Evidence map›Paper›PMID 41639272›Full record

ArticleAnnals of hematology2026

Daratumumab-based first-line therapy benefit multiple myeloma patients in a real-world setting: a multi-center retrospective propensity score-match study.

Yun Wang, Xiaoqin Chen, Qi Liang, Weida Wang, Jun Luo, Lin Luo, Ru Feng, Yongqiang Wei, Yuyang Tian, Xin Du and 17 more

Abstract readMulticenter Study
In one paragraph

Article in Annals of hematology, 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. 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

27 authors.

Yun WangDepartment of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China.
Xiaoqin ChenDepartment of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China.
Qi LiangDepartment of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China.
Weida WangDepartment of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China.
Jun LuoDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University Guangxi, Nanning, P. R. China.
Lin LuoDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University Guangxi, Nanning, P. R. China.
Ru FengDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, P. R. China.
Yongqiang WeiDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, P. R. China.
Yuyang TianDepartment of Hematologic Oncology, Centre for Haematology, Hainan Cancer Hospital, Haikou, P. R. China.
Xin DuDepartment of Hematology, Shenzhen Second People's Hospital, Shenzhen, P. R. China.
Zhenqian HuangDepartment of Hematology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.
Guoyu HuDepartment of Hematology, Zhuzhou Central Hospital, Zhuzhou, P. R. China.
Xiangjun FuDepartment of Hematology, Hainan General Hospital, Haikou, P. R. China.
Shi TaoDepartment of Hematology, The First Affiliated Hospital of Hainan Medical University, Haikou, P. R. China.
Jihao ZhouDepartment of Hematology, Shenzhen Peoples Hospital, Shenzhen, P. R. China.
Hongling PengDepartment of Hematology, The Second Xiangya Hospital of Central South University, Changsha, P. R. China.
Yongzhong SuDepartment of Hematology, The First Affiliated Hospital of Shantou University Medical College, Shantou, P. R. China.
Hongyu ZhangDepartment of Hematology, Peking University Shenzhen Hospital, Shenzhen, P. R. China.
Min DongDepartment of Hematology, The Second Affiliated Hospital of Hainan Medical University, Hainan, P. R. China.
Mei LanDepartment of Hematology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi, Nanning, P. R. China.
Zhiqiang SunDepartment of Hematology, Shenzhen Hospital of Southern Medical University, Shenzhen, P. R. China.
Xiuju WangDepartment of Hematology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, P. R. China.
Hui ZhouDepartment of Lymphoma and Hematology, Hunan Cancer Hospital, Changsha, P. R. China.
Liye ZhongDepartment of Hematology, The First Affiliated Hospital of JiNan University, Guangzhou, P. R. China.
Rober Peter GaleHaematology Research Centre, Department of Immunology and Inflammation, Imperial College London, London, UK.
Yang LiangDepartment of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China. liangyang@sysucc.org.cn.
Zhongjun XiaDepartment of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China. xiazhj@sysucc.org.cn.

Funding

Beijing Xisike Clinical Oncology Research Foundation Y-Young2022- -0281
6 · The paper itself

Abstract

backgroundAdding daratumumab to initial therapy in randomized controlled trials (RCTs) for newly diagnosed multiple myeloma (MM) enhances deep remission and prolongs progression-free survival (PFS). Given the differences between trial-eligible and real-world patients, and healthcare access variability in developing countries, real-world data are essential to complement RCT evidence.

methodsWe analyzed 761 newly diagnosed MM patients treated with (n = 177) or without (n = 584) daratumumab as first-line therapy from 2017 to 2023 across southern China. Propensity score matching (PSM) generated cohorts of 158 and 278 patients, respectively, matched for stage, cytogenetic abnormalities, and regimen type. Responses were evaluated per International Myeloma Working Group criteria, and measurable residual disease (MRD) was assessed via next-generation multiparameter flow cytometry.

resultsThe daratumumab group demonstrated significantly higher rates of ≥ very good partial response (85.0% vs. 61.3%; P < 0.001) and MRD negativity (73.0% vs. 51.9%; P = 0.024) at the end of induction. Additionally, 3-year PFS (75.6% vs. 55.0%, hazard ratio [HR] 0.49, 95% confidence interval [95% CI] 0.36-0.66, P < 0.001) and overall survival (OS) rates (78.3% vs. 74.4%; HR 0.56 [95% CI 0.36-0.86], P = 0.008) were superior in the daratumumab group, and these results remained consistent after PSM. Daratumumab improved PFS in patients with gain/amp(1q21) but not in those with del17p or t(4;14). Survival benefit was also observed in the addition of daratumumab to bortezomib/lenalidomide/dexamethasone combined treatment subgroup.

conclusionIn real-world settings, daratumumab-based first-line therapy improved the depth of response, PFS, and OS, though not all patients benefited.

Indexed as

Antibodies, MonoclonalAntineoplastic Combined Chemotherapy ProtocolsMultiple MyelomaAdultAgedBortezomibChinaDexamethasoneFemaleHumansLenalidomideMaleMiddle AgedNeoplasm, ResidualProgression-Free SurvivalPropensity ScoreAntibodies, MonoclonalBortezomibdaratumumabDexamethasoneLenalidomideDaratumumabFirst-line therapyMinimal residual diseaseMultiple myelomaSurvival

Identifiers

PMID41639272
PMCPMC12872706

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.