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Record W2379353129

The safety of clinical application of fentanyl transdermal system

2006· article· en· W2379353129 on OpenAlexaboutno aff
Liu Xiao-ping

Bibliographic record

VenuePain Clinic Journal · 2006
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsnot available
Fundersnot available
KeywordsFentanylMedicineTransdermalTransdermal patchFood and drug administrationAdverse effectAnalgesicAnesthesiaIntensive care medicineDrug administrationMedical emergencyPharmacology
DOInot available

Abstract

fetched live from OpenAlex

Since 1990 when the fentanyl transdermal system(Duragesic)was first put on the market,the deaths of 120 patients have been related to their use of the medicine.So people are very attention to the safety of clinical application of this new potent analgesic.While the results of these existing investigating were preliminary,and also there is no program to restrict use of the medicine or withdrawal of Duragesic from the U.S.and worldwide market.U.S.Food and Drug Administration(FDA)and the Canadian Adverse Reaction Newsletter and the Chinese State Food and Drug Administration(SFDA)have issued a Public Health Advisory regarding the safe use of Duragesic.and have made the following recommendations:physicians who prescribe the fentanyl transdermal patch and patients who use the fentanyl transdermal patch and their caregivers should be followed of the directions for using the fentanyl transdermal patch to prevent death or other serious side effects from overdosing with fentanyl.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.037
GPT teacher head0.363
Teacher spread0.326 · 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 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

Citations0
Published2006
Admission routes1
Has abstractyes

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