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The Role of OROS<sup>®</sup>Hydromorphone in the Management of Cancer Pain

2009· review· en· W2029317765 on OpenAlexaff
Jackie Gardner-Nix, Sebastiano Mercadante

Bibliographic record

VenuePain Practice · 2009
Typereview
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
FundersJanssen Pharmaceuticals
KeywordsHydromorphoneMedicineOxycodoneCancer painOpioidMorphineDosingAnesthesiaImmediate releaseRandomized controlled trialCancerPharmacologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

The vast majority of cancer patients experience pain, and treatment with opioids offers the most effective option for pain management. Long-lasting opioid formulations are usually used as cancer pain management strategies. This review surveys the available literature on the only available once-daily sustained-release formulation of hydromorphone, and its use in cancer pain management. Sustained-release (SR) formulations have a more consistent opioid plasma concentration, thereby minimizing the peaks and troughs associated with immediate-release opioid formulations. OROS hydromorphone (Jurnista, Janssen Pharmaceuticals, NV, Beerse, Belgium) releases hydromorphone over a 24-hour dosing period. Studies comparing its efficacy with other opioids such as morphine and oxycodone found comparable results overall. Recent trials have provided evidence of decreased rescue medication use for breakthrough pain, a good safety profile, and quality of life benefits. It appears to be an efficacious and well-tolerated treatment. The pharmacokinetics of OROS hydromorphone are linear and dose-proportional, and only minimally affected by the presence or absence of food. In addition, the SR properties of OROS hydromorphone are maintained in the presence of alcohol, with no dose dumping of hydromorphone. This formulation shows promise as an addition to cancer pain management strategies, although further randomized, double-blind trials are needed to confirm this.

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)0.019
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.978
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.346
Teacher spread0.320 · 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 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

Citations14
Published2009
Admission routes1
Has abstractyes

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