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Record W140674789

New drug approval times and 'therapeutic potential' in Canada, Australia, Sweden and the United States during the period 1992 to 1998.

2000· article· en· W140674789 on OpenAlexaffabout
Nigel S. B. Rawson, K I Kaitin

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsHealth Sciences CentreMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineFood and drug administrationFamily medicineEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

In two previous studies, the times required to approve new drugs in Canada, Australia, Sweden, the United Kingdom and the United States during the periods 1992 to 1995 and 1996 to 1998 were compared. However, during each of these two periods, only a fraction of the drugs that were approved in any of the countries were approved in all of them. Because an analysis based solely on drugs approved in all the countries would provide additional information, data from the previous studies have been used to compare drugs approved in each of Canada, Australia, Sweden and the United States during the period 1992 to 1998. In addition, applications that received a 'priority' or a 'standard' review by the United States Food and Drug Administration were analyzed separately to determine whether differences between the countries diminished for drugs considered to be of potentially greater therapeutic value. For the 87 drugs identified as being approved for marketing in all four countries during the period 1992 to 1998, approval times in Canada and Australia were not significantly different, but both Canada and Australia had significantly longer times than those of the United States and Sweden (P<0.001). Of the 87 drugs, 37 (43%) received a priority review in the United States. In both the priority and standard review categories, the Australian and Canadian median approval times were significantly longer than those in Sweden and the United States. The results demonstrate that, in general, both priority and standard new drug applications are reviewed more expeditiously in Sweden and the United States than in Canada. Canadian patients continue to experience delayed access to potentially valuable medicines.

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.

How this classification was reachedexpand

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.753

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 head0.029
GPT teacher head0.222
Teacher spread0.193 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2000
Admission routes2
Has abstractyes

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