Evidence map›Paper›PMID 35936746›Full record

ReviewFrontiers in oncology2022

Availability and Affordability of Oncology Drugs in 2012-2021 in China and the United States.

Huiyao Huang, Qi Zhu, Man Ga, Dawei Wu, Xinyu Meng, Shuhang Wang, Hong Fang, Yu Tang, Ning Li

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. In reply.The oncologist · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

9 authors.

Huiyao HuangDepartment of Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qi ZhuSchool of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China.
Man GaDepartment of Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dawei WuDepartment of Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xinyu MengFaculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Shuhang WangDepartment of Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hong FangDepartment of Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yu TangDepartment of Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ning LiDepartment of Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To systematically summarize the landscape and characteristics of all approved new anticancer drugs for the last 10 years in China and the United States (US) to further inform the trend, current state, and existing gap in the availability and affordability of cancer medicine between the two countries. Methods: Mainly based on the Pharmcube database, a list and detailed information of anticancer drugs approved in China and the United States were acquired. The annual number, time lag, and basic characteristics, including drug type, mechanism, enterprise type, indication population, drug target, and cancer type of approved drugs were compared. Results: Eighty-seven and 118 new anticancer drugs were approved in China and the US, respectively, showing a stable trend in the US, while a significant increase was observed after 2016 in China. Of the 42 cancer medicines launched in both countries, the US took precedence, and the median time lag markedly decreased, from 6.53 years in 2012 to 0.88 years in 2020. A total of 14.4% of drugs were applicable to children in the US, while only 2.3% were applicable in China, and there was no difference in drug type and enterprise. Thirty-one and 43 targets were explored, with respect to 27 and 36 cancer types in China and the US, respectively, during the period. In addition, the expenditure of drugs on PD-1 and PD-L1 in China was generally lower than that in America. Conclusion: The availability of new anticancer drugs has increased dramatically in the past decade, particularly in China. Compared with the US, the launch of new anticancer drugs in China lags behind, but the time lag has been shortened significantly, and better affordability is observed in immune drugs. More attention should be given to differentiated innovation, and unmet medical needs in special populations like childhood tumors, which are important directions of new drug R&D in China.

Indexed as

affordabilityanticancer drugavailabilityChinaoncologyUSA

Identifiers

PMID35936746
PMCPMC9355250

What OpenQuestion 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 OpenQuestion graph.