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Record W2063862190 · doi:10.1097/spc.0b013e32835ac704

The management of wound-related procedural pain (volitional incident pain) in advanced illness

2013· review· en· W2063862190 on OpenAlexaff
Romayne Gallagher

Bibliographic record

VenueCurrent Opinion in Supportive and Palliative Care · 2013
Typereview
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsProvidence Health Care
Fundersnot available
KeywordsMedicinePain managementFentanylBreakthrough PainIntensive care medicineAnesthesiaOpioidInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The prevention and treatment of wound-related procedural pain is one of the greatest areas of unmet need within wound management. Also referred to as 'Volitional Incident Pain', it is the most prevalent subtype of breakthrough pain experienced by patients afflicted with wounds. Novel formulations of existing analgesics are now available to address this challenge. RECENT FINDINGS: This review focuses on the principles of breakthrough pain assessment including those patients with cognitive impairment. Current management principles are discussed with an emphasis on the novel formulations of fentanyl citrate that may be delivered through the sublingual, buccal, and nasal mucosal routes. SUMMARY: Novel formulations of fentanyl citrate, delivered through an array of noninvasive routes, allow for rapid-onset and short-acting effects that better match the onset and duration of wound-related procedural 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: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.067
GPT teacher head0.393
Teacher spread0.325 · 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
GenreReview

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

Citations10
Published2013
Admission routes1
Has abstractyes

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