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Record W2765536589 · doi:10.1002/9781119167891.ch13

Treatment of Acute (Adaptive) Pain

2017· other· en· W2765536589 on OpenAlexaff
Paulo V. Steagall, Polly Taylor

Bibliographic record

Venuenot available
Typeother
Languageen
FieldVeterinary
TopicVeterinary Pharmacology and Anesthesia
Canadian institutionsUniversité de MontréalCegep de Saint Hyacinthe
Fundersnot available
KeywordsMedicineTramadolAcute painGabapentinTapentadolKetamineNonsteroidalIntensive care medicineChronic painAnesthesiaMultimodal therapyAnalgesicPhysical therapyPharmacologyAlternative medicineOpioidInternal medicineReceptor

Abstract

fetched live from OpenAlex

Treatment of acute pain presents several challenges in feline practice. This chapter presents an overview of epidemiological data on the use of analgesics in cats and current challenges and principles of feline acute pain management. Multimodal and preventive analgesia involving nonpharmacological therapies and local anesthetics, opioids and nonsteroidal anti-inflammatory drugs (NSAIDs) are the first line of treatment in acute pain. The importance of nonpharmacological therapy should not be underestimated. Other therapies including agonists of α2-adrenergic receptors, tramadol, tapentadol, gabapentin and ketamine are presented as the second line of treatment for severe acute pain but also for prevention of persistent postsurgical pain.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.004

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 head0.081
GPT teacher head0.365
Teacher spread0.284 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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