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Record W4384500795 · doi:10.2106/jbjs.rvw.23.00047

Opioid-Sparing Strategies in Arthroscopic Surgery

2023· review· en· W4384500795 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

VenueJBJS Reviews · 2023
Typereview
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsWestern UniversityHand and Upper Limb ClinicUniversity of OttawaMcMaster University
Fundersnot available
KeywordsMedicineOpioidPlaceboMEDLINEArthroscopyAnesthesiaAnalgesicAcetaminophenRandomized controlled trialConfidence intervalPhysical therapySurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Opioid overprescription is a problem in orthopaedic surgery. Arthroscopic surgery, given its minimally invasive nature, represents an opportunity to minimize opioid prescription and consumption by using effective pain management adjuncts. Thus, the primary question posed in this study was which noninvasive pain management modalities can effectively manage pain and reduce opioid intake after arthroscopic surgery. METHODS: The databases PubMed, MEDLINE, EMBASE, Scopus, and Web of Science were searched on August 10, 2022. Randomized controlled trials (RCTs) evaluating noninvasive pain management strategies in arthroscopy patients were evaluated. Eligible studies were selected through a systematic screening process. Meta-analysis was performed for pain scores and opioid consumption at time points which had sufficient data available. RESULTS: Twenty-one RCTs were included, with a total of 2,148 patients undergoing shoulder, knee, and hip arthroscopy. Meta-analysis comparing nonopioid, oral analgesic regimens, with or without patient education components, with the standard of care or placebo demonstrated no difference in pain scores at 24 hours, 4 to 7 days, or 14 days postoperatively. Nonopioid regimens also resulted in significantly lower opioid consumption in the first 24 hours postoperatively (mean difference, -37.02 mg oral morphine equivalents, 95% confidence interval, -74.01 to -0.03). Transcutaneous electrical nerve stimulation (TENS), cryotherapy, and zolpidem were also found to effectively manage pain and reduce opioid use in a limited number of studies. CONCLUSIONS: A range of noninvasive pain management strategies exist to manage pain and reduce opioid use after arthroscopic procedures. The strongest evidence base supports the use of multimodal nonopioid oral analgesics, with some studies incorporating patient education components. Some evidence supports the efficacy of TENS, cryotherapy, and nonbenzodiazepine sleeping aids. Direction from governing bodies is an important next step to incorporate these adjuncts into routine clinical practice to manage pain and reduce the amount of opioids prescribed and consumed after arthroscopic surgery. LEVEL OF EVIDENCE: Level II, systematic review and meta-analysis of RCTs. See Instructions for Authors for a complete description of the levels of evidence.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.827
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.005

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 head0.176
GPT teacher head0.427
Teacher spread0.251 · 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