Evidence map›Paper›PMID 41035909›Full record

ReviewFrontiers in pharmacology2025

Technological and industrial trends in China's pharmaceutical sector.

Ju Wang, Mengshan He, Fengying Lu, Ying Chen, Hongguang Wang

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2025. 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

5 authors.

Ju WangThe Academy of Chinese Health Risks of West China Hospital, Sichuan University, Chengdu, China.
Mengshan HeThe Academy of Chinese Health Risks of West China Hospital, Sichuan University, Chengdu, China.
Fengying LuThe Academy of Chinese Health Risks of West China Hospital, Sichuan University, Chengdu, China.
Ying ChenThe Academy of Chinese Health Risks of West China Hospital, Sichuan University, Chengdu, China.
Hongguang WangThe Academy of Chinese Health Risks of West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, China's pharmaceutical industry has experienced rapid growth, positioning itself as the world's second-largest pharmaceutical market and R&D hub. However, the industry faces significant challenges due to policy shifts and the effects of a "capital winter". This paper provides a comprehensive analysis of the key trends shaping the future of China's pharmaceutical sector, focusing on the impact of emerging technologies, such as precision medicine and synthetic biology, on drug development processes. It also examines changes in market demand for advanced formulations, chronic disease treatments, and rare disease drugs. Additionally, the paper explores the primary drivers and barriers to the industrial transformation from the perspectives of population aging, industrial restructuring, and internationalization. The findings suggest that technological innovation and industrial upgrading are critical to driving high-quality development in drug research and manufacturing. Achieving this requires coordinated efforts in policy optimization and corporate innovation to overcome technological barriers and promote sustainable, global growth. This study offers theoretical insights and practical recommendations for policymakers and corporate strategists in fostering long-term innovation and competitive advantage in the pharmaceutical industry.

Indexed as

China’s pharmaceutical industryglobal expansionindustrial trendsindustry transformationleading pharmaceutical nationtechnological trends

Identifiers

PMID41035909
PMCPMC12479303

What OpenQuestion holds

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LicenceCC BY
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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.