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Record W4210334209 · doi:10.1097/adm.0000000000000965

Acute Pain Management for a Tibial Plateau Fracture Shortly After a Buprenorphine XR Depot Injection: A Case Report

2022· article· en· W4210334209 on OpenAlexaff
Lavarnan Sivanathan, Elizabeth Logan, K Popovski, Akash Goel, Tanya S. Hauck, Karim S. Ladha

Bibliographic record

VenueJournal of Addiction Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineBuprenorphineDiscontinuationAnesthesiaOpioidDepotSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Acute pain management of patients on buprenorphine for opioid use disorder remains a challenge. The buprenorphine extended-release depot injection which lasts for 1 month and has a higher plasma concentration of buprenorphine compared to the sublingual formulation is increasingly being used in patients. Acute pain management of patients on buprenorphine depot remains a challenge because waiting for the washout of the medication is not feasible and discontinuation is challenging because it requires surgical excision. We describe here the pharmacokinetics of the buprenorphine depot formulation and the clinical implications of its long duration of action. A 39-year-old woman with a history of alcohol and opioid use disorder, on buprenorphine depot, was admitted to the hospital with a left tibial plateau fracture. Acute pain service managed her pain by utilizing a multimodal analgesia plan including femoral and popliteal nerve catheters, intravenous patient-controlled analgesia and oral opioid and nonopioid medications. The patient had a prolonged length of stay of 11 days but was successfully weaned off nerve catheters and intravenous medications and converted to an oral medication regiment such that she could be discharged from the acute care hospital.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0040.003
Science and technology studies0.0060.002
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0110.008
Insufficient payload (model declined to judge)0.0040.002

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 head0.010
GPT teacher head0.279
Teacher spread0.269 · 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 designCase report
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

Citations5
Published2022
Admission routes1
Has abstractyes

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