Evidence map›Paper›PMID 39170111›Full record

ArticleHeliyon2024

Analysis of post-marketing requirements for oncology drug conditional approvals in the United States and China.

Chenghao Ge, Jing An, Xiaoyuan Chen

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Chenghao GeTsinghua Clinical Research Institute, Tsinghua Medicine, Tsinghua University, Beijing, China.
Jing AnTsinghua Clinical Research Institute, Tsinghua Medicine, Tsinghua University, Beijing, China.
Xiaoyuan ChenTsinghua Clinical Research Institute, Tsinghua Medicine, Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Conditional approvals, also known as accelerated approvals, have been introduced by many pharmaceutical regulators around the world, allowing innovative drugs to enter the market earlier on the basis of limited evidence. This research aims to systematically analyze and compare the post-marketing requirements for conditional approvals of oncology drugs in China and the United States. By collecting and categorizing different types of post-marketing requirements, this study seeks to elucidate how these requirements are proposed and discern the underlying logic and patterns. Methods: This study delved into oncology drug approvals, encompassing FDA accelerated approvals (up to December 31, 2022) and NMPA conditional approvals (from 2017 to December 31, 2022). Leveraging review documents from FDA and NMPA, comprehensive data on product characteristics, all post-marketing commitments and requirements, and especially those related to confirmatory requirements were extracted. The analysis incorporated descriptive statistics, visualizations such as Upset plots, and thorough examination of confirmatory requirement timeframes. Findings: This study examined 168 FDA accelerated approvals and 41 NMPA conditional approvals for oncology indications. Post-marketing requirements displayed diversity: FDA emphasized confirmatory studies, clinical pharmacology studies, and more, while NMPA predominantly focused on confirmatory studies. Confirmatory requirement timeframes indicated higher FDA-required completion times for new confirmatory trials compared to continued completion of original pivotal trials. In contrast, NMPA's requirement patterns were comparatively singular, with relatively fixed timeframes. FDA's evolving trend showed decreasing timeframes over time, suggesting an increasing demand for timely confirmatory data. Interpretation: Conditional approvals offer a unique approach to bring potentially life-saving drugs to the market faster, despite limited supporting evidence. Our analysis of oncology drug conditional approvals in the U.S. and China reveals diverse post-marketing requirement patterns. This study provides valuable insights for regulatory decision-making in a dynamic pharmaceutical landscape. Balancing the risks and rewards of conditional approvals is crucial in ensuring both patient safety and timely access to innovative treatments.

Identifiers

PMID39170111
PMCPMC11336774

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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.