Evidence map›Paper›PMID 40578822›Full record

ArticleHealth policy and planning2025

International price comparisons for national price-negotiated drugs in China: a cross-regional analysis.

Lanting Lyu, Qiuru Hu, Yuanfang Zou, Jian Ming

Abstract read
In one paragraph

Article in Health policy and planning, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Lanting LyuSchool of Population and Health, Renmin University of China, No. 59 Zhongguancun Street, Haidian District, Beijing, 100872, China.ORCID 0000-0001-9852-7035
Qiuru HuHealth Technology Assessment and Policy Evaluation Group, Renmin University of China, No. 59 Zhongguancun Street, Haidian District, Beijing, 100872, China.
Yuanfang ZouHealth Technology Assessment and Policy Evaluation Group, Renmin University of China, No. 59 Zhongguancun Street, Haidian District, Beijing, 100872, China.
Jian MingReal World Solutions, IQVIA China, 9F, Crystal Plaza T1, 1359 Yaolong Road, Pudong, Shanghai, 200124, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China has long struggled with high medical costs and irrational drug pricing but has recently made significant progress by implementing drug negotiation strategies to effectively reduce the prices of targeted drugs. To accurately depict drug prices on a global scale, a cross-sectional time-series analysis was conducted in China using Multinational Integrated Data Analysis System data from the first quarter of 2017 to the fourth quarter of 2022. This analysis compared the prices of 140 price-negotiated innovative drugs across 15 countries using five distinct price indices-Average Price Index, Laspeyres, Paasche, Fisher, and Chained Laspeyres-aiming to address gaps in understanding China's negotiated drug prices globally. The five drug price index (DPI) showed general consistency and revealed significant variations in drug prices across countries. China's drug pricing reforms have successfully reduced drug costs and alleviated the financial burden on patients, offering insights for other developing countries. Drug price indices serve as valuable tools for monitoring prices and promoting transparency, while using PPPs may better reflect actual affordability and provide a more reasonable assessment.

Indexed as

CommerceDrug CostsNegotiatingChinaCosts and Cost AnalysisCross-Sectional StudiesHumansInternationalityChinadrug price indexdrug pricinginternational comparison

Identifiers

PMID40578822
PMCPMC12360033

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.