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Record W1891700553

EMLA 크림이 ampicillin sodium 항생제 피내반응검사에 미치는 효과

2011· article· ko· W1891700553 on OpenAlexaboutno aff
강희영

Bibliographic record

Venue기본간호학회지 · 2011
Typearticle
Languageko
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePrilocaineLidocaineAnesthesiaForearmTopical anestheticLocal anestheticOcclusive dressingSurgery
DOInot available

Abstract

fetched live from OpenAlex

Purpose: The purpose of this study was to identify the effects of EMLA cream (eutectic mixture of local anesthetics, lidocaine and prilocaine) on pain during ampicillin sodium intradermal (ID) skin test, and also to assess skin reaction after the skin test. Methods: Forty-three nurse-volunteers had skin tests with 0.01ml-0.05ml ampicillin sodium antibiotics. Skin tests were done on each forearm to compare the pain level of the skin test site after application of EMLA cream with the pain level when no EMLA cream was applied. EMLA cream was applied at the ID skin test site with an occlusive dressing for one hour. Pain was evaluated using a visual analogue scale and pain sensation using the short form McGill Pain Questionnaire. The transverse diameter of the wheal and redness was read right after and at 15 minutes after the skin test. The results were compared using independent t-tests. Results: Pain score and sensation with EMLA cream treatment were significantly lower than when EMLA cream was not applied. There was no difference in skin reactions; reading of the skin test was not affected by EMLA cream. Conclusions: EMLA cream was found to be an effective local anesthetic to relieve the pain of clients having ampicillin sodium antibiotics ID skin tests.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

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)0.0040.001

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 head0.211
GPT teacher head0.399
Teacher spread0.189 · 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
Published2011
Admission routes1
Has abstractyes

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