MétaCan
Menu
← Back to cohort
Record W7004880370

Opioid prescription and consumption after hospital discharge following laparoscopic bariatric surgery: a prospective cohort study

2024· dissertation· en· W7004880370 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2024
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsProspective cohort studyHospital dischargeMedical prescriptionConsumption (sociology)OpioidCohort studyPatient discharge
DOInot available

Abstract

fetched live from OpenAlex

Introduction: In the current opioid crisis, bariatric surgical patients are at increased risk of harms related to postoperative opioid overprescribing.This study aimed to assess the extent to which opioids prescribed at discharge after bariatric surgery are consumed by patients.Methods: This multicenter prospective cohort study included adult patients (≥18yo) undergoing laparoscopic bariatric surgery.Preoperative assessments included demographics and patientreported measures.Information regarding surgical and perioperative care interventions (including discharge prescriptions) was obtained from medical records.Self-reported opioid consumption was assessed weekly up to 30 days post-discharge.Number of opioid pills prescribed and consumed was compared using Wilcoxon signed-rank test.Zero-inflated negative binomial regression was used to identify predictors of post-discharge opioid consumption.Results: We analyzed 351 patients (mean age 44±11 years, BMI 45±8.0 kg/m 2 , 77% female, 71% sleeve gastrectomy, length of stay 1.6±0.6 days).The quantity of opioids prescribed at discharge (median 15 pills [IQR 15-16], 112.5 morphine milligram equivalents (MMEs) [IQR 80-112.5])was significantly higher than patient-reported consumption (median 1 pill [IQR 0-5], 7.5 MMEs [IQR 0-37.5])(p<0.001).Overall, 37% of patients did not take any opioids postdischarge and 78.5% of the opioid pills prescribed were unused.Increased post-discharge opioid consumption was associated with male sex (IRR 1.54 [95%CI 1.14 to 2.07]), higher BMI (1.03 [95%CI 1.01 to 1.05]), preoperative opioid use (1.48 [95%CI 1.04 to 2.10]), current smoking (2.32 [95%CI 1.44 to 3.72]), higher PROMIS-29 depression score (1.03 [95% CI 1.01 to 1.04]), anastomotic procedures (1.33 [95%CI 1.01 to 1.75]), and number of pills prescribed (1.04 [95%CI 1.01 to 1.06]).Conclusion: This study supports that most opioid pills prescribed to bariatric surgery patients at discharge are not consumed.Patient and procedure-related factors may predict opioid consumption.Individualized post-discharge analgesia strategies with minimal or no opioids may be feasible and should be further investigated in future research.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.216
Teacher spread0.200 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueeScholarship@McGill (McGill)→Same topicDiverse Scientific and Economic Studies→French-language works237,207→