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

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.

Authors

Institutions

Publication Details

Journal
Clinical and Translational Science
Published
2026-08-27
DOI
https://doi.org/10.1111/cts.70708
Primary Topic
Biomedical Ethics and Regulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Qiujin Shen, Shuhua Yi, Liang Huang, Tao Cheng et al.
Clinical and Translational Science
Biomedical Ethics and Regulation
article

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

Qiujin Shen, Shuhua Yi, Liang Huang, Tao Cheng, Qing Ji, Zhenxiao Huang, Lihong Shi, Lijun Liu, Shuo Chen, Lei Zhang, Jiajia Gao, Jianwei Qi, Yi Yue, Zhen Song, Shihui Ma, Bingxuan Li, Meimei Xu, Xiaochen Wang
article en

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.

Clinical and Translational ScienceVol. 19(9)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Institute of Hematology & Blood Diseases Hospital (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Biomedical Ethics and Regulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.