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Record W3012152267 · doi:10.1001/jamasurg.2019.5875

Recommendations for the Prescription of Opioids at Discharge After Abdominopelvic Surgery

2020· review· en· W3012152267 on OpenAlexafffund
David D. Q. Zhang, Fahima Dossa, Anuj Arora, Maria C. Cusimano, Brittany Speller, Tari Little, Karim S. Ladha, Savtaj S. Brar, David R. Urbach, Andrea C. Tricco, Duminda N. Wijeysundera, Hance Clarke, Nancy N. Baxter

Bibliographic record

VenueJAMA Surgery · 2020
Typereview
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsMount Sinai HospitalSt. Michael's HospitalPublic Health OntarioWomen's College HospitalToronto General HospitalUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsMedicinePsycINFOMedical prescriptionPsychological interventionMEDLINEGuidelineSystematic reviewIntensive care medicineNursing

Abstract

fetched live from OpenAlex

Importance: The prescription of opioids at discharge after abdominopelvic surgery is variable and often excessive. A lack of guidance for abdominopelvic surgeons may explain the suboptimal nature of current prescribing practices. Objective: To systematically review existing recommendations on the prescription of opioids at discharge, the appropriate disposal of opioids, and the prevention of chronic postsurgical opioid use after abdominopelvic surgery. Evidence Review: This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. From January 2010 to December 2018, a search of MEDLINE, PsycINFO, HealthSTAR, Embase, and the difficult to locate and unpublished (ie, gray) literature was performed using a peer-reviewed strategy with variations of the terms opioid, surgery, and guideline to identify English-language documents that contained recommendations published by professional societies or health care institutions. The quality of clinical practice guidelines was assessed using the Appraisal of Guidelines Research and Evaluation II (AGREE II) tool. A descriptive synthesis of results was performed. Findings: Of 5530 citations screened, 41 full-text documents were included in the systematic review. Fifteen clinical practice guidelines were identified. AGREE II domain scores varied substantially. Identified among the 41 included documents were 98 recommended interventions for the prescription of opioids at discharge, 8 interventions for the disposal of opioids, and 8 interventions for the prevention of chronic postsurgical opioid use. Only 13 of 114 interventions (11.4%) were supported by an assessment of strength or level of evidence, and the amount of opioid recommended after specific abdominopelvic surgical procedures varied widely between guidance documents, even for the same procedure. Conclusions and Relevance: Current guidance for the prescription of opioids at discharge after abdominopelvic surgery is heterogeneous and rarely supported by evidence. More research is needed on this topic to guide the development of future recommendations.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.047
metaresearch head score (Gemma)0.212
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.047
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0470.212
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.008
Bibliometrics0.0090.006
Science and technology studies0.0010.002
Scholarly communication0.0040.005
Open science0.0060.003
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0060.002

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 head0.081
GPT teacher head0.332
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), 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

Citations13
Published2020
Admission routes2
Has abstractyes

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