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Record W2603239463 · doi:10.2147/jpr.s124566

A case report on the treatment of complex chronic pain and opioid dependence by a multidisciplinary transitional pain service using the ACT Matrix and buprenorphine/naloxone

2017· article· en· W2603239463 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Pain Research · 2017
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsToronto General HospitalUniversity of TorontoYork UniversityUniversity Health Network
FundersCanadian Institutes of Health ResearchUniversity of TorontoOntario Ministry of Health and Long-Term CareYork University
KeywordsMedicineChronic painOpioidBuprenorphine(+)-NaloxoneMultidisciplinary approachQuality of life (healthcare)AnesthesiaPhysical therapyNursingInternal medicine

Abstract

fetched live from OpenAlex

In an era of growing concern about opioid prescribing, the postsurgical period remains a critical window with the risk of significant opioid dose escalation, particularly in patients with a history of chronic pain and presurgical opioid use. The purpose of this case report is to describe the multidisciplinary care of a complex, postsurgical pain patient by an innovative transitional pain service (TPS). A 59-year-old male with complex chronic pain, as well as escalating long-term opioid use, presented with a bleeding duodenal ulcer requiring emergency surgery. After surgery, the TPS provided integrated pharmacological and behavioral treatment, including buprenorphine combined with naloxone and acceptance and commitment therapy (ACT) using the ACT Matrix. The result was dramatic pain reduction and improved functioning and quality of life after 40+ years of chronic pain, thus changing the pain trajectory of a chronic, complex, opioid-dependent patient.

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.

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)0.012
metaresearch head score (Gemma)0.001
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 score0.308
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.119
GPT teacher head0.424
Teacher spread0.305 · 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