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Record W4404692022 · doi:10.1001/jama.2024.16911

Differential Legal Protections for Biologics vs Small-Molecule Drugs in the US

2024· article· en· W4404692022 on OpenAlex
Olivier J. Wouters, Matthew Vogel, William B. Feldman, Reed F. Beall, Aaron S. Kesselheim, S. Sean Tu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAMA · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsUniversity of Calgary
FundersNational Heart, Lung, and Blood InstituteArnold Ventures
KeywordsMedicineBiosimilarRevenueDrug developmentCompetition (biology)Clinical trialReimbursementDrug pricesDrugFinancePharmacologyPublic economicsBusinessHealth careInternal medicineEconomicsEconomic growth

Abstract

fetched live from OpenAlex

Importance: Biologics approved by the US Food and Drug Administration (FDA) receive 12 years of guaranteed protection from biosimilar competition compared with 5 years of protection from generic competition for new small-molecule drugs. Under the 2022 Inflation Reduction Act, biologics are exempt from selection for Medicare price negotiation for 11 years compared with 7 years for small-molecule drugs. Congress codified these differing legal protections on the premise that biologics require more time and resources to develop and have weaker patent protection, necessitating additional protections for manufacturers to recoup their development costs and generate adequate returns on investment. Objective: To review empirical evidence from the US experience with biologics to analyze the assumptions underlying longer periods of market exclusivity and protection from price negotiation compared with small-molecule drugs. Evidence Review: Recent data on development times, clinical trial success rates, research and development costs, patent protection, market exclusivity periods, revenues, and treatment costs of biologics vs small-molecule drugs were analyzed. Findings: The FDA approved 599 new therapeutic agents from 2009-2023, of which 159 (27%) were biologics and 440 (73%) were small-molecule drugs. Median development times were 12.6 years (IQR, 10.6-15.3 years) for biologics vs 12.7 years (IQR, 10.2-15.5 years) for small-molecule drugs (P = .76). Biologics had higher clinical trial success rates at every phase of development. Median development costs were estimated to be $3.0 billion (IQR, $1.3 billion-$5.5 billion) for biologics and $2.1 billion (IQR, $1.3 billion-$3.7 billion) for small-molecule drugs (P = .39). Biologics were protected by a median of 14 patents (IQR, 5-24 patents) compared with 3 patents (IQR, 2-5 patents) for small-molecule drugs (P < .001). The median time to biosimilar competition was 20.3 years (IQR, 16.9-21.7 years) compared with 12.6 years (IQR, 12.5-13.5 years) for small-molecule drugs. Biologics achieved higher median peak revenues ($1.1 billion in year 13; IQR, $0.5 billion-$2.9 billion) than small-molecule drugs ($0.5 billion in year 8; IQR, $0.1 billion-$1.2 billion; P = .01) and had higher median revenues in each year following FDA approval. The median annual cost of treatment was $92 000 (IQR, $31 000-$357 000) for biologics and $33 000 (IQR, $4000-$177 000) for small-molecule drugs (P = .005). Conclusions and Relevance: There is little evidence to support biologics having longer periods of market exclusivity or protection from negotiation. As a result of differential treatment, US law appears to overly reward the development of biologics relative to small-molecule drugs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.295
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it