Evidence map›Paper›PMID 42661250›Full record

ArticleClinical and translational science2026

Hematological Malignancy Trials in Chinese Mainland, 2013-2022: A Landscape Analysis with Exploratory Macro-Level Temporal Correlations.

Jianwei Qi, Jiajia Gao, Zhenxiao Huang, Bingxuan Li, Yi Yue, Lijun Liu, Meimei Xu, Liang Huang, Shuo Chen, Qing Ji and 8 more

Abstract read
In one paragraph

Article in Clinical and translational science, 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
–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

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

18 authors.

Jianwei QiState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0009-0003-6314-4677
Jiajia GaoState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0000-0002-6433-091X
Zhenxiao HuangState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0009-0008-7611-9071
Bingxuan LiState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0009-0001-1202-8807
Yi YueState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0009-0005-9660-9164
Lijun LiuState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0009-0000-6912-6611
Meimei XuInstitute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0009-0004-3093-5824
Liang HuangState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0000-0002-8370-3232
Shuo ChenState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0009-0006-2904-2273
Qing JiState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0009-0009-0327-2662
Zhen SongState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0000-0002-3948-1695
Qiujin ShenState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0000-0003-2103-4253
Shihui MaState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0009-0007-2993-0542
Shuhua YiState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0000-0002-6291-812X
Xiaochen WangState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0009-0003-0554-3661
Tao ChengState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0000-0002-5925-2769
Lihong ShiState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0000-0001-8876-0802
Lei ZhangState Key Laboratory of Experimental Hematology, National Clinical Research Centre for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID https://orcid.org/0000-0001-7769-7377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the increasing disease burden of hematological malignancies in Chinese Mainland, a systematic analysis of clinical trials is essential to advancing translational medicine, as these trials serve as the critical nexus between laboratory discoveries and clinical applications. This study integrated registration data from the Center for Drug Evaluation, Chinese Clinical Trial Registry, and ClinicalTrials.gov for trials recorded between 2013 and 2022. Using joinpoint regression and descriptive temporal-correlation analyses, we characterized temporal trends among 2497 identified trials and explored temporal co-movements between annual trial counts and selected macro-level indicators. The included trials comprised 1776 (71.1%) investigator-initiated trials (IITs) and 721 (28.9%) industry-sponsored trials (ISTs). The annual number of trials increased, with an average annual percent change (AAPC) of 23.5%; the AAPC was higher for IITs than for ISTs (25.6% vs. 13.1%). Notably, cell and gene therapy trials increased rapidly before 2019, with an annual percent change (APC) of 53.0%, and subsequently reached a growth plateau. In exploratory macro-level analyses, the original annual series showed strong positive temporal correlations between trial counts and indicators of scientific activity and research capacity, disease burden, and socioeconomic context. However, these correlations were substantially attenuated after linear detrending and showed no consistent pattern in first-difference analyses, indicating a substantial influence of shared secular trends. These findings support coordinated efforts to strengthen high-quality clinical research and accelerate the translation of innovative therapies into patient care.

Indexed as

Clinical Trials as TopicHematologic NeoplasmsTranslational Research, BiomedicalChinaEast Asian PeopleHumansRegistriesTime FactorsChinese mainlandclinical trialsecological analysisgene therapyhematological malignancyinvestigational new drugsinvestigator‐initiated clinical trialstemporal trends

Identifiers

PMID42661250
PMCPMC13522384

What OpenQuestion holds

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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 OpenQuestion graph.