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Record W6966493112 · doi:10.3929/ethz-b-000703092

Therapeutic Value of Drugs Granted Accelerated Approval or Conditional Marketing Authorization in the US and Europe From 2007 to 2021

2022· article· en· W6966493112 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRepository for Publications and Research Data (ETH Zurich) · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsMarketing authorizationAuthorizationAgency (philosophy)European unionValue (mathematics)DrugCancer drugsCohort

Abstract

fetched live from OpenAlex

Importance: The number of drugs approved through the accelerated approval or conditional marketing authorization pathways has increased with unclear evidence of their therapeutic value. Objectives: To assess the therapeutic value of drug indications granted accelerated approval in the US or conditional marketing authorization in the European Union (EU) overall and for cancer indications. Design, Setting, and Participants: This cohort study used the public databases of the US Food and Drug Administration and the European Medicines Agency to identify all drugs (initial and supplemental indications) granted accelerated approval in the US or conditional marketing authorization (initial indications only) in the EU between January 1, 2007, and December 31, 2021. Therapeutic value ratings were obtained from national health authorities in Germany, France, and Canada. Main Outcomes and Measures: Descriptive statistics were used to assess the proportion of accelerated approvals and conditional marketing authorizations overall and for cancer vs noncancer indications rated as having high added therapeutic value. Results: The cohort included 146 drug indications (94 first indications, 52 supplemental indications) in the US and 58 (all first indications) in the EU. Most drugs were approved for cancer (122 [83.6%] in the US; 40 [69.0%] in the EU). Therapeutic value ratings were available for 90 drug indications (61.6%) in the US and 56 (96.6%) in the EU. Overall, 35 drug indications granted accelerated approval (38.9%) and 21 granted conditional marketing authorization (37.5%) had high added therapeutic value in the US and EU, respectively, at the time of approval. The proportions of indications rated as having high added therapeutic value were 36.0% (27 of 75) for cancer vs 53.3% (8 of 15) for noncancer indications in the US and 30.8% (12 of 39) for cancer vs 52.9% (9 of 17) for noncancer indications in the EU. Conclusions and Relevance: In this cohort study, among new drug indications approved through the accelerated approval or conditional marketing authorization pathways in the US and Europe from 2007 to 2021, 38.9% and 37.5%, respectively, demonstrated high therapeutic value. A substantially lower proportion of cancer indications than noncancer indications were rated as having high therapeutic value. Policy makers and regulators should increase enforcement of timely postapproval study completion for drugs qualifying for these pathways.

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)0.034
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0340.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.526
GPT teacher head0.496
Teacher spread0.030 · 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