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Record W2031892788 · doi:10.1517/14656566.2013.767331

Buprenorphine transdermal system and quality of life in opioid-experienced patients with chronic low back pain

2013· article· en· W2031892788 on OpenAlexaff
K. Miller, Aaron Yarlas, Warren Wen, Bradley Dain, Shau Yu Lynch, Michael J. Brennan, Steven R. Ripa

Bibliographic record

VenueExpert Opinion on Pharmacotherapy · 2013
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsPurdue Pharma (Canada)
Fundersnot available
KeywordsMedicineBuprenorphineQuality of life (healthcare)OpioidAnesthesiaInternal medicineNursing

Abstract

fetched live from OpenAlex

OBJECTIVES: To evaluate the impact of 12 weeks of treatment with Butrans® (buprenorphine) transdermal system (BTDS) on the health-related quality of life (HRQoL) for patients with chronic low back pain (CLBP), and the maintenance of effects over 52 weeks. RESEARCH DESIGN AND METHODS: A multicenter, enriched, double-blind (DB), randomized trial comparing BTDS 20 μg/h (BTDS 20) against 5 μg/h (BTDS 5) for treatment of opioid-experienced patients with moderate-to-severe CLBP, including a 52-week open-label (OL) extension phase. MAIN OUTCOME MEASURES: QoL was measured with the SF-36v2 survey before and after an OL run-in period with BTDS 20, three times during the DB phase, and seven times over the extension phase. This post hoc analysis tested for SF-36v2 score differences between treatment groups during the DB phase and maintenance of effects over the extension phase. RESULTS: At 12 weeks, BTDS 20 produced larger improvements than BTDS 5 in role limitations due to physical health, bodily pain and overall physical QoL (p < 0.01). Treatment group differences in overall physical QoL were sustained throughout the DB phase. Quality-of-life improvements associated with BTDS 20 persisted through the extension phase. CONCLUSIONS: These data suggest that opioid-experienced moderate-to-severe CLBP patients receiving BTDS 20 exhibited better QoL than patients receiving BTDS 5.

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)0.000
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 score0.096
Threshold uncertainty score0.865

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.019
GPT teacher head0.308
Teacher spread0.289 · 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

Citations26
Published2013
Admission routes1
Has abstractyes

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