Managing acute pain with inhaled methoxyflurane in non-cancer patients: a review of the latest evidence
Bibliographic record
Abstract
PURPOSE OF THE REVIEW: Penthrox® (inhaled methoxyflurane, IMF) is an inhaled analgesic used for the treatment of moderate-to-severe acute pain. It has various advantages including the capacity for being self-administered in the presence of healthcare providers (HCPs), rapid onset and offset, and having documented evidence for minimal adverse events post-use. In a variety of non-oncological settings such as pre-hospital transport and minor outpatient procedures, amongst others, IMF has significantly reduced acute pain. As IMF has the capacity to provide appreciable pain relief but is not as widely used as other acute analgesics (i.e., opioids), this review of past and current literature hopes to explore the impact of inhaled IMF on patient outcomes, procedures where it could be used, and to inform readers about this compound. RECENT FINDINGS: In general, patients who used IMF had decreased pain, improved psychosocial factors (i.e., reduced anxiety, improved satisfaction), and minimal adverse events thereby being concluded as safe for use. SUMMARY: Future use in remote medical interventions such as military contexts, in emergency room settings, and administration under the supervision of first responders such as non-paramedic and non-HCPs further broadens the scope of settings where IMF can meaningfully be implemented.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".