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利用临床试验特征估算新药研发成本。

Use of Clinical Trial Characteristics to Estimate Costs of New Drug Development.

作者信息

Mulcahy Andrew, Rennane Stephanie, Schwam Daniel, Dickerson Reid, Baker Lawrence, Shetty Kanaka

机构信息

RAND, Arlington, Virginia.

RAND, Santa Monica, California.

出版信息

JAMA Netw Open. 2025 Jan 2;8(1):e2453275. doi: 10.1001/jamanetworkopen.2024.53275.

DOI:10.1001/jamanetworkopen.2024.53275
PMID:39761045
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11704977/
Abstract

IMPORTANCE

Despite their importance to patients, health, and industry, the magnitude of investments in drug research and development (R&D) remain nebulous. New policies require more granular and transparent R&D cost estimates to better balance incentives for innovation and returns to developers.

OBJECTIVE

To estimate per-drug R&D costs using a novel, reproduceable approach and to describe firm-level R&D costs per discrete unit of R&D activity (1 patient-month).

DESIGN, SETTING, AND PARTICIPANTS: This economic evaluation used cross-sectional data to estimate 2014 to 2019 costs per patient-month. Costs per patient-month were calculated using data from 268 US publicly traded drug developers, contributing 1311 firm-year observations, that were highest ranked by assets or market capitalization, after exclusions. Per-drug costs were calculated from all R&D activity through approval for a cohort of 38 new drugs approved by the US Food and Drug Administration in 2019. Data were analyzed from January 2022 to July 2024.

EXPOSURE

R&D activity, measured in terms of clinical trial patient-months.

MAIN OUTCOMES AND MEASURES

This study used a 2-step approach to estimate R&D costs, first allocating firm-year-level total R&D spending across similarly aggregated patient-months, and then aggregating these incremental costs to estimate drug-level R&D costs per new drug.

RESULTS

Among 268 developers assessed, 20 large firms accounted for 80.8% of all patient-months and had 27.4% lower mean and 26.7% lower median costs per patient-month compared with other firms. Each 1% increase in patient-months was associated with a 0.9% increase in R&D costs. R&D costs per new drug were highly skewed, with a lower median (IQR), at $708 million ($247 million to $1.42 billion) than mean (SD), at $1.31 ($1.92) billion, after adjusting for the cost of capital and discontinued products. Without these adjustments, direct costs per new drug were a median (IQR) of $150 ($67.6-$453) million and a mean (SD) $369 of ($684) million. While estimated R&D costs varied in sensitivity analyses, mean costs were always substantially greater than median costs.

CONCLUSIONS AND RELEVANCE

This economic evaluation found median per-drug R&D costs toward the lower end of the range from prior studies, with a mean closer to the middle of the existing range despite the broad scope of included costs. These findings suggest parallel development across indications, adjustment for discontinued products, and a small number of expensive development programs are particularly important drivers of R&D costs.

摘要

重要性

尽管药物研发对患者、健康和行业至关重要,但其投资规模仍不明确。新政策要求更细致、透明的研发成本估算,以更好地平衡创新激励与开发者回报。

目的

采用一种新颖、可重复的方法估算每种药物的研发成本,并描述每个离散研发活动单位(1个患者月)的公司层面研发成本。

设计、背景和参与者:这项经济评估使用横断面数据来估算2014年至2019年每个患者月的成本。每个患者月的成本是使用来自268家美国上市药物开发商的数据计算得出的,这些数据贡献了1311个公司年度观察值,在排除后按资产或市值排名最高。通过对2019年美国食品药品监督管理局批准的38种新药队列从研发活动开始到获批的所有研发活动计算每种药物的成本。数据于2022年1月至2024年7月进行分析。

暴露因素

以临床试验患者月数衡量的研发活动。

主要结局和指标

本研究采用两步法估算研发成本,首先将公司年度层面的总研发支出分配到类似汇总的患者月数中,然后汇总这些增量成本以估算每种新药的药物层面研发成本。

结果

在评估的268家开发商中,20家大公司占所有患者月数的80.8%,与其他公司相比,其每个患者月的平均成本低27.4%,中位数成本低26.7%。患者月数每增加1%,研发成本就增加0.9%。在调整资本成本和停产产品后,每种新药的研发成本高度偏态分布,中位数(四分位间距)为7.08亿美元(2.47亿美元至14.2亿美元),低于平均值(标准差)13.1(19.2)亿美元。未经这些调整,每种新药的直接成本中位数(四分位间距)为1.50亿美元(6760万美元至4.53亿美元),平均值(标准差)为3.69亿美元(6.84亿美元)。虽然在敏感性分析中估算的研发成本有所不同,但平均成本始终远高于中位数成本。

结论与相关性

这项经济评估发现,每种药物的研发成本中位数处于先前研究范围的较低端,尽管纳入成本范围广泛,但平均值更接近现有范围的中间值。这些发现表明,跨适应症的平行开发、对停产产品的调整以及少数昂贵的开发项目是研发成本的特别重要驱动因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ea/11704977/b603db9e98b0/jamanetwopen-e2453275-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ea/11704977/145028bc3e16/jamanetwopen-e2453275-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ea/11704977/2c33bf76c2d2/jamanetwopen-e2453275-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ea/11704977/c83548ee0410/jamanetwopen-e2453275-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ea/11704977/b603db9e98b0/jamanetwopen-e2453275-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ea/11704977/145028bc3e16/jamanetwopen-e2453275-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ea/11704977/2c33bf76c2d2/jamanetwopen-e2453275-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ea/11704977/c83548ee0410/jamanetwopen-e2453275-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ea/11704977/b603db9e98b0/jamanetwopen-e2453275-g004.jpg

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International Prescription Drug Price Comparisons: Estimates Using 2022 Data.国际处方药价格比较:使用2022年数据的估算
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