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Addition of morphine to local anesthetic infiltration does not improve analgesia after pediatric dental extractions

2007· article· en· W1567792189 on OpenAlexaff
Sanjay M. Bhananker, Lawrence Azavedo, William M. Splinter

Bibliographic record

VenuePediatric Anesthesia · 2007
Typearticle
Languageen
FieldDentistry
TopicDental Anxiety and Anesthesia Techniques
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineMorphineAnesthesiaLidocaineAnalgesicLocal anestheticOpioidEpinephrineReceptorInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Opioid receptors have been noted in the peripheral nerve endings of afferent neurons. Blockade of these receptors with peripherally administered opioids is believed to result in analgesia. METHODS: In a prospective, randomized, double-blind study, we studied the analgesic effects of adding a subsystemic dose of morphine to local anesthetic infiltration (lidocaine hydrochloride) during pediatric dental extractions. Forty-two subjects, aged 2-7 years of ASA physical status I-II, were randomized to receive submucous infiltration with either morphine 25 microg.kg(-1) in 2% lidocaine hydrochloride with 1 : 1 00 000 epinephrine (morphine group) or 2% lidocaine hydrochloride with 1 : 1 00 000 epinephrine (control group) at the end of surgery. RESULTS: There was no difference in postoperative analgesic requirements within the first 24 h. In-hospital acetaminophen consumption was 85% in the morphine group compared with 81% in the control group. CONCLUSION: We conclude that there is no benefit of adding a subsystemic analgesic dose of morphine to local anesthetics for analgesia after dental extractions in children.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.007
GPT teacher head0.242
Teacher spread0.235 · 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.

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

Citations9
Published2007
Admission routes1
Has abstractyes

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