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Record W3205610988

Rofecoxib: New Drug Profile

2000· article· ko· W3205610988 on OpenAlexaboutno aff
한국임상약학회 편집실

Bibliographic record

Venue한국임상약학회지 · 2000
Typearticle
Languageko
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsnot available
Fundersnot available
KeywordsRofecoxibNabumetoneIbuprofenNaproxenDiclofenacNaproxen SodiumMedicineProstaglandin-Endoperoxide SynthasePharmacologyAnesthesiaCyclooxygenaseChemistryNonsteroidal
DOInot available

Abstract

fetched live from OpenAlex

Reofecoxib는 용량 의존적으로 cyclo-oxygenase-2를 선택적으로 억제한다. 골관절염 환자를 대상으로 하여 이중맹검, 무작위, Western Ontario and McMasters Universi-ties Osteoarthritis Index를 이용하여 평가한 결과, rofecoxib 12.5, 25 mg는 신체적 기능을 크게 향상시키는 것으로 보여졌다. 또한 diclofenac (50 mg, 1일 3회), ibuprofen (800 mg, 1일 3회), nabumetone(1500 mg, 1일 1회)와 유사한 임상효과를 나타내었다. Rofecoxib는 원발성 월경곤란증과 수술 후 치통에 효과적으로 억제하였으며 naproxen sodium과 ibuprofen과 같은 진통 효과를 보였다. Rofecoxib는 안전성 면에서 우수하며 가장 흔한 부작용은 설사, 두통, 오심과 상기도 감염증이다. Rofecoxib 12.5, 25, 50 mg/day를 투여한 골관절염 환자에게서 위장관계 부작용(천공, 궤양, 출혈)은 ibuprofen, diclofenac, nabumetone을 투여한 환자보다 훨씬 낮은 발생빈도를 나타내었다.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.004

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 head0.006
GPT teacher head0.239
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2000
Admission routes1
Has abstractyes

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