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Record W2056389297 · doi:10.1177/0091270008319794

Same Drug, Different Dosing: Differences in Dosing for Drugs Approved in the United States, Europe, and Japan

2008· article· en· W2056389297 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.

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

Bibliographic record

VenueThe Journal of Clinical Pharmacology · 2008
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsNutrasource
Fundersnot available
KeywordsDosingMedicineDrugPharmacology

Abstract

fetched live from OpenAlex

With globalization of the pharmaceutical industry, newly approved drugs nearly always become available worldwide, including the 3 major pharmaceutical regions: the United States, Europe, and Japan. One might think that these drugs would have the same recommended dosing throughout the world, but this appears not to be true in many instances. The objective of this study was to identify any patterns of differences in labeled dosing. Approved labeling, for the most widely prescribed proprietary drugs in the United States, was used as a basis for this study. Dosing was compared, for common indications, for the United States, Europe, and Japan. Overall, these data indicate that there are numerous differences in approved dosing for drugs approved in all 3 regions. For about half of the drugs studied, dosing in Japan is considerably lower than the United States or Europe. Some differences in dosing are also apparent between the United States and Europe.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.207
GPT teacher head0.467
Teacher spread0.260 · 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