Evidence map›Paper›PMID 39266814›Full record

ReviewDrugs in R&D2024

Changes in Early-Phase Clinical Trials in China During 2013-2022: A Review.

Jianxiong Zhang, Peng Zhang, Haixue Wang, Ruihua Dong

Abstract readReview
In one paragraph

Review in Drugs in R&D, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Jianxiong ZhangResearch Ward, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Peng ZhangDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing, China.
Haixue WangCenter for Drug Evaluation, National Medical Products Administration, Beijing, China. wanghx@cde.org.cn.
Ruihua DongResearch Ward, Beijing Friendship Hospital, Capital Medical University, Beijing, China. ruihua_dong_rw@163.com.ORCID http://orcid.org/0000-0003-3463-5023

Funding

Beijing Research Ward Construction Demonstration Project BCRW202010
6 · The paper itself

Abstract

Clinical trials on innovative drugs in China have witnessed a stage of rapid development in recent years. The introduction of a number of government policies has stimulated enthusiasm for research and development in the pharmaceutical industry. We analyzed the data of the early-phase clinical trials registered in the Chinese Center for Drug Evaluation (CDE) from September 6, 2013, to December 31, 2022. All related registration information disclosed on the CDE website, including posted time, drug classification, dosing formula, indications, trial design, and trial status, were summarized and analyzed. A total of 5336 early-phase clinical trials were identified. The quantity and growth rate of early-phase clinical trials have increased substantially each year. Chemical drugs accounted for the largest proportion of early-phase clinical trials, although it dropped from 85.7% in 2013 to 59.5% in 2022. Moreover, the number of oncology drugs has increased yearly, accounting for 49.2% of all early-phase clinical trials in 2022. We can conclude that during 2013-2022, the development of early-phase clinical trials has progressed due to government support and advanced development techniques. To enhance the efficiency and success rate of early-phase clinical trials in the future, it is necessary to acquire advanced technical support and improve standardized supervision systems.

Indexed as

Clinical Trials as TopicChinaDrug DevelopmentDrug IndustryHumans

Identifiers

PMID39266814
PMCPMC11456066

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.