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Record W1961376272 · doi:10.1155/2011/465281

A Comparison between Enriched and Nonenriched Enrollment Randomized Withdrawal Trials of Opioids for Chronic Noncancer Pain

2011· review· en· W1961376272 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePain Research and Management · 2011
Typereview
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsToronto Western HospitalInstitute for Work & HealthToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsMedicineRandomized controlled trialChronic painPlaceboSubgroup analysisMEDLINEOpioidMeta-analysisInternal medicinePhysical therapyAlternative medicine

Abstract

fetched live from OpenAlex

An enriched enrollment randomized withdrawal (EERW) trial design has been advocated to be useful for the study of drugs that are beneficial to only a fraction of the individuals who take them. Some investigators defend the use of enrichment designs for opioids in chronic noncancer pain (CNCP), reasoning that opioids may appear to underperform in clinically heterogeneous contexts, ie, that substantial efficacy in a particular patient subgroup may be diluted or masked by poor efficacy in another subgroup. The authors previously published a systematic review of opioids for CNCP in 2006; however, at that time, there were only a few EERW trials available for comparison. This more exhaustive, updated review compares the results between EERW and non‐EERW trials of opioids for a variety of CNCP conditions. BACKGROUND: An enriched enrollment randomized withdrawal (EERW) design excludes potential participants who are nonresponders or who cannot tolerate the experimental drug before random assignment. It is unclear whether EERW design has an influence on the efficacy and safety of opioids for chronic noncancer pain (CNCP). OBJECTIVES: The primary objective was to compare the results from EERW and non‐EERW trials of opioids for CNCP. Secondary objectives were to compare weak versus strong opioids, subgroups of patients with different types of pain, and the efficacy of opiods compared with placebo versus other drugs. METHODS: MEDLINE, EMBASE and CENTRAL were searched up to July 2009, for randomized controlled trials of any opioid for CNCP. Meta‐analyses and meta‐regressions were conducted to compare the results. Treatment efficacy was assessed by effect sizes (small, medium and large) and the incidence of adverse effects was assessed by a clinically relevant mean difference of 10% or greater. RESULTS: Sixty‐two randomized trials were included. In 61 trials, the duration was less than 16 weeks. There was no difference in efficacy between EERW and non‐EERW trials for both pain (P=0.6) and function (P=0.3). However, EERW trials failed to detect a clinically relevant difference for nausea, vomiting, somnolence, dizziness and dry skin/itching compared with non‐EERW. Opioids were more effective than placebo in patients with nociceptive pain (effect size=0.60, 95% CI 0.49 to 0.72) and neuropathic pain (effect size=0.56, 95% CI 0.38 to 0.73). CONCLUSION: EERW trial designs appear not to bias the results of efficacy, but they underestimate the adverse effects. The present updated meta‐analysis shows that weak and strong opioids are effective for CNCP of both nociceptive and neuropathic origin.

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.

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)0.088
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0880.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.249
GPT teacher head0.488
Teacher spread0.239 · 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