Evidence map›Paper›PMID 40581075›Full record

ArticleThe oncologist2025

Comparative analysis of patients' characteristics, treatment, and survival outcomes in CLL from China and the United States.

Yuting Yan, Yin Liu, Tonglu Qiu, Fan Yang, Jiamei Liu, Yanfei Chen, Ying Yu, Wenjie Xiong, Tingyu Wang, Zhijian Xiao and 6 more

Abstract readComparative Study
In one paragraph

Article in The oncologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Leukemia epidemiology in China: Burden, trends, and determinants in the 21st century.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
    Article
  4. 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

16 authors.

Yuting YanState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300052, People's Republic of China.
Yin LiuDepartment of Public Administration, China Pharmaceutical University, Jiangning Campus, Nanjing 210029, People's Republic of China.ORCID 0009-0009-7515-1843
Tonglu QiuDepartment of Hematology, Key Laboratory of Nanjing Medical University, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing 210029, People's Republic of China.
Fan YangDepartment of Public Administration, China Pharmaceutical University, Jiangning Campus, Nanjing 210029, People's Republic of China.
Jiamei LiuDepartment of Public Administration, China Pharmaceutical University, Jiangning Campus, Nanjing 210029, People's Republic of China.
Yanfei ChenDepartment of Public Administration, China Pharmaceutical University, Jiangning Campus, Nanjing 210029, People's Republic of China.
Ying YuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300052, People's Republic of China.
Wenjie XiongState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300052, People's Republic of China.
Tingyu WangState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300052, People's Republic of China.
Zhijian XiaoState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300052, People's Republic of China.
Jianxiang WangState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300052, People's Republic of China.ORCID 0000-0001-9437-9151
Thomas J KippsDepartment of Medicine, UC San Diego Moores Cancer Center, University of California, San Diego, San Diego, CA 92093, United States.
Robert Peter GaleCentre for Haematology Research, Department of Immunology and Inflammation, Imperial College London, London SW7 2AZ, United Kingdom.
Jianyong LiDepartment of Hematology, Key Laboratory of Nanjing Medical University, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing 210029, People's Republic of China.
Jifang ZhouDepartment of Public Administration, China Pharmaceutical University, Jiangning Campus, Nanjing 210029, People's Republic of China.ORCID 0000-0003-2590-8667
Shuhua YiState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300052, People's Republic of China.ORCID 0000-0002-6291-812X

Funding

Beijing Xisike Clinical Oncology Research Foundation Y-2024AZ(BTK)ZD--0074Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2022-I2M-1-022National Nature Science Foundation of China 82170193National Nature Science Foundation of China 82170194National Nature Science Foundation of China 82200215National Nature Science Foundation of China 82370197
6 · The paper itself

Abstract

backgroundChronic lymphocytic leukemia (CLL) is considerably more common in Americans compared with Asians. The basis for these differences and implications for therapy outcomes are controversial and mostly unknown.

methodsWe compared baseline co-variates, therapies, and outcomes from 2 databases, Flatiron Health database in the United States (N = 15 786) and Tianjin CAMS database from China (N = 2996).

resultsChinese subjects had younger age at diagnosis, more advanced Rai stage and an increased prevalence of lymphadenoma, thrombocytopenia, and increased β2-microglobulin. Americans had higher rates of unmutated IGHV, TP53 deletion, and cytogenetic abnormalities. These differences persisted after adjusting for age, Rai stage, and IGHV mutation state. There were also substantial differences in therapy patterns between the cohorts. Median survival in Chinese was 9.7 vs 7.5 years in Americans (P < .001). In sub-group analyses, Chinese CLL had better 5-year survivals with chemotherapy (69% [95% CI, 66, 72%] vs 49% [47, 52%]; P < .001), immune therapies (67% [63, 72%] vs 65% [64, 66%]; P = .041), and targeted therapies (85% [81, 88%] vs 65% [64, 67%]; P < .001). These advantages were pronounced among older patients and those with early-stage, mutated IGHV and without TP53 deletion.

conclusionThis cross-sectional study identifies significant clinical and treatment outcome disparities in CLL between Eastern and Western populations, attributed to distinct genetic and molecular profiles.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellAdultAgedAged, 80 and overChinaFemaleHumansMaleMiddle AgedTreatment OutcomeUnited StatesChinachronic lymphocytic leukemiacomparative analysis

Identifiers

PMID40581075
PMCPMC12265460

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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 OpenQuestion graph.