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Adjunct continuous intravenous ketamine infusion for postoperative pain relief following posterior spinal instrumentation for correction of scoliosis: a case report

2006· article· en· W1982465464 on OpenAlexaff
Ban C. H. Tsui, Alese Wagner, James Mahood, Marc Moreau

Bibliographic record

VenuePediatric Anesthesia · 2006
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineKetamineAnesthesiaPerioperativeOpioidAdverse effectMorphineScoliosisTolerabilityAnalgesicSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Providing effective analgesia is challenging for correction of idiopathic scoliosis, as nonsteroidal anti-inflammatory drugs and epidural anesthesia are controversial and large-dose opioids can cause significant side effects. Perioperative adjuvant low-dose ketamine has been shown to provide good supplementary analgesia as well as to potentially spare opioid consumption. Ketamine may also improve early ease of mobility without addition of any noticeable adverse effects. This case describes the combined use of a continuous low-dose ketamine infusion and patient-controlled analgesia (PCA) morphine for postoperative analgesia in an adolescent girl undergoing posterior spinal instrumentation and correction of scoliosis. The patient had excellent postoperative analgesia and was able to participate in early rehabilitation. The opioid-sparing effect of ketamine was not demonstrated in this case. Further study of continuous low-dose ketamine infusions in this patient population would be beneficial to provide more evaluation of the efficacy and tolerability of ketamine and of its opioid-sparing potential.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.009
GPT teacher head0.254
Teacher spread0.245 · 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

Citations20
Published2006
Admission routes1
Has abstractyes

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