Evidence map›Paper›PMID 37005689›Full record

ArticleDiabetology & metabolic syndrome2023

The changing landscape of drug clinical trials on cardiometabolic diseases in China, 2009-2021.

Chen Li, Jun Hao, Yitian Zheng, Chuangshi Wang, Jie Yang, Wenyao Wang, Kuo Zhang, Chunli Shao, Wen Hui, Jiancheng Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2023. 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
1.0field-weighted citation impact, top 24% of its field
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, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. A Systematic Review of Cardio-Metabolic Properties ofAntioxidants (Basel, Switzerland) · 2024
    Review
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

12 authors at 5 institutions in 1 country.

Chen Li *Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Jun Hao *Medical Research and Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, 100037, China.
Yitian ZhengDepartment of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Chuangshi WangMedical Research and Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, 100037, China.
Jie YangDepartment of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Wenyao WangDepartment of Cardiology, Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Peking University Third Hospital, Ministry of Education, Beijing, 100191, China.
Kuo ZhangDepartment of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Chunli ShaoDepartment of Cardiology, Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Peking University Third Hospital, Ministry of Education, Beijing, 100191, China.
Wen HuiDepartment of Science and Technology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jiancheng WangBeijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems, State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Wei LiMedical Research and Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, 100037, China. liwei@mrbc-nccd.com.
Yi-Da TangDepartment of Cardiology, Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Peking University Third Hospital, Ministry of Education, Beijing, 100191, China. tangyida@bjmu.edu.cn.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CNPeking University Third Hospital · CNSichuan University · CNState Key Laboratory of Natural and Biomimetic Drugs

Funding

Beijing Nova Program from Beijing Municipal Science & Technology Commission Z201100006820002Beijing Nova Program from Beijing Municipal Science & Technology Commission Z211100002121063CAMS Innovation Fund for Medical Sciences 2021-I2M-5-003National Key R&D Program of China 2020YFC2004705National Natural Science Foundation of China 81825003, 91957123, 81800327, 81900272, 82270376
6 · The paper itself

Abstract

backgroundCardiometabolic disease is a clinical syndrome characterized by multiple metabolic disorders, with atherosclerosis as the core and cardiovascular and cerebrovascular events as the outcome. Drug research and development (R&D) in cardiometabolic diseases has grown rapidly worldwide. However, the development of cardiometabolic drug clinical trials in China remains unclear. This study aims to depict the changing landscape of drug clinical trials for cardiometabolic diseases in China during 2009-2021.

methodsThe detailed information of drug trials on cardiometabolic diseases registered in the National Medical Products Administration (NMPA) Registration and Information Disclosure Platform was collected between January 1, 2009, and July 1, 2021. The landscape of cardiometabolic drug clinical trials was analyzed by the characteristics, time trends, indications, pharmacological mechanisms, and geographical distribution.

resultsA total of 2466 drug clinical trials on cardiometabolic diseases were extracted and analyzed. The annual number of drug trials increased rapidly in the past twelve years. Among all the trials, the bioequivalence trials (1428; 58.3%) accounted for the largest proportion, followed by phase I (555; 22.5%), phase III (278; 11.3%), phase II (169; 6.9%), and phase IV (26; 1.1%). Of 2466 trials, 2133 (86.5%) trials were monomer drugs, only 236 (9.6%) trials were polypills and 97 (3.9%) were traditional Chinese medicine (TCM) compounds. In terms of pharmacological mechanisms, the number of trials in dihydropyridine (DHP) calcium antagonists 321 (11.9%) ranked first, while trials in angiotensin receptor blocker (ARB) 289 (10.7%) and dipeptidyl peptidase-4 (DPP-4) inhibitor 205 (7.6%) ranked second and third place respectively. Of 236 chemical polypills trials, 23 (9.7%) polypills were the combination of DHP calcium antagonists and statins, while others were the combination of two same pharmacological effect agents. As for the geographical distribution of leading units, 36 trials were led by principal investigators (PI) units from Beijing, followed by Jiangsu (n = 29), Shanghai (n = 19), Guangdong (n = 19), and Hunan (n = 19), showing an uneven regional distribution.

conclusionsGreat progress has been made in drug clinical trials on cardiometabolic diseases, especially in antihypertensive agents, hypoglycemic agents, and hypolipidemic agents. However, the insufficient innovation of first-in-class drugs and polypills should be carefully considered by all stakeholders in drug trials.

Indexed as

Cardiometabolic diseaseChanging landscapeChinaDrug clinical trial

Identifiers

PMID37005689
PMCPMC10067219
OpenAlexW4362506871

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.