ArticleSurgical endoscopy2022
Examining current patterns of opioid prescribing and use after bariatric surgery.
Article in Surgical endoscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Bariatric Surgery and New-Onset Substance Use Disorders: A Systematic review and Meta-analysis.Obesity surgery · 2024Pooled it
- Disparities in Postoperative Pain Management: A Scoping Review of Prescription Practices and Social Determinants of Health.Pharmacy (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEvidence-based guidelines on the appropriate amount of opioid medications to prescribe following bariatric surgery are lacking. We sought to determine our current opioid-prescribing practices, patient utilization, and satisfaction with pain control following elective bariatric surgery.
methodsA retrospective chart review and phone survey were conducted on patients who underwent laparoscopic or robotic sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB) from April 2018 to March 2019 at a single academic medical center. Opioid medications were converted to morphine milligram equivalents provided (MMEs).
resultsIn total, 192 patients met inclusion criteria. The median amount of opioid medication prescribed on discharge was 300 oral MMEs, although there was a significant difference between the MMEs prescribed to patients with and without chronic opioid therapy (median 300 MMEs opioid naïve vs. 375 MMEs chronic opioid therapy, p = 0.01). Significantly fewer SG patients required a refill of their opioid medication compared to RYGB (8.3% vs. 23.9%, p = 0.003). Of the 192 patients, 87 (45.3%) completed the phone survey. Fifty-six patients (64%) reported that they took half or less of the initially prescribed opioids. Of the patients with leftover medication, 36% reported that they did not dispose of the medication. Overall understanding of pain control options after surgery was significantly lower in patients who felt they were prescribed "too little" opioids (p = 0.01), patients requiring refills (p = 0.02), and patients who were not satisfied with their pain control (p = 0.02).
conclusionThere is a gap between the amount of opioid medication prescribed and taken by patients following bariatric surgery in our practice. Patients who were least satisfied with their pain control reported knowledge gaps about pain control options that were more significant than patients who were more satisfied. Future initiatives should focus on the reduction of opioids prescribed to bariatric surgery patients post-operatively and on opioid education for patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.