New drug approval times and 'therapeutic potential' in Canada, Australia, Sweden and the United States during the period 1992 to 1998.
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".