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Record W2133668971 · doi:10.1191/0269216305pm958oa

Self-administered nitrous oxide for the management of incident pain in terminally ill patients: a blinded case series

2005· article· en· W2133668971 on OpenAlexaff
Joel L. Parlow, Brian Milne, Deborah A. Tod, G Ivan Stewart, Jane Griffiths, Deborah Dudgeon

Bibliographic record

VenuePalliative Medicine · 2005
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsQueen's University
Fundersnot available
KeywordsNitrous oxideMedicineAnesthesiaPlaceboCrossover studyOpioidTerminally illPopulationPalliative careInternal medicine

Abstract

fetched live from OpenAlex

The treatment of incident pain in terminally ill cancer patients receiving long-term opioid therapy remains a challenge. Self-administered inhaled nitrous oxide has been used for short-term analgesia in this setting, with mixed results. It is unclear whether nitrous oxide exhibits cross-tolerance with opioids, and there is the possibility of a strong placebo effect in previous unblinded reports. We report on a double-blind crossover case series, in which seven patients received either nitrous oxide/oxygen or a placebo air/oxygen mixture on each day of a two-day trial. Outcome indices were obtained before, during and after each use of the gas for anticipated incident pain. The patient population was very heterogeneous with respect to disease, pain scores and concurrent treatments. Nitrous oxide was beneficial during incidents in five of seven patients; the remaining two patients reported an overall preference for the nitrous oxide day. We conclude that a trial of self-administered inhaled nitrous oxide should be considered in patients with difficult incident 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 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)0.001
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 score0.155
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.030
GPT teacher head0.314
Teacher spread0.284 · 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

Citations29
Published2005
Admission routes1
Has abstractyes

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