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Record W140817468

Postoperative pain management with ketorolac in facial plastic surgery patients.

2008· article· en· W140817468 on OpenAlexaff
Cory Torgerson, Adi Yoskovitch, A. F. D. Cole, K Conrad

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsKetorolacMedicineAnalgesicAnesthesiaAcetaminophenAnestheticLocal anestheticSurgeryForeheadCodeineMorphine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the benefit of intraoperative locally or intramuscularly injected ketorolac in combination with local anesthetic versus local anesthetic alone on postoperative pain in patients undergoing facial plastic surgery. METHODS: Prospective randomized trial of 140 consecutive patients undergoing facelift, and/or forehead lift at a private facial cosmetic surgery practice by one surgeon. Outcome measurement included the requirement for pain medication (none, morphine, acetaminophen with codeine, or plain acetaminophen) at 1, 12, and 24 hours postoperatively. RESULTS: Ninety-five patients receiving locally injected ketorolac required significantly less postoperative analgesic (p<.05) than both the 20 patients who received intramuscularly injected ketorolac and the 25 patients who received local anesthetic alone at 12 and 24 hours. Those patients receiving no ketorolac required significantly more (p<.05) analgesic 1 hour postoperatively. CONCLUSION: Intraoperative locally injected ketorolac is an effective and safe means of reducing postoperative analgesic requirements.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.444

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 head0.012
GPT teacher head0.183
Teacher spread0.171 · 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

Citations14
Published2008
Admission routes1
Has abstractyes

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