ArticleOrthopaedic journal of sports medicine2023
Effects of Opioid-Limiting Legislation in the State of Ohio on Opioid Prescriptions After Shoulder Arthroscopy.
Article in Orthopaedic journal of sports medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Recent studies have shown that legislation regulating opioid prescriptions in the United States has been successful in reducing the morphine milligram equivalent (MME) prescribed after certain orthopaedic procedures. Purpose: To (1) determine the effect of Ohio's legislation limiting opioid prescriptions after shoulder arthroscopy and (2) identify risk factors associated with prolonged opioid use and increased postoperative opioid dosing. Study Design: Cohort study; Level of evidence, 3. Methods: We reviewed the data of patients who underwent shoulder arthroscopy between January 1, 2016, and March 31, 2020. Patients were classified according to the date of legislation passage (August 31, 2017) as before legislation (PRE) or on/after legislation (POST). Patients were also classified based on the number of opioid prescriptions filled within 30 days of surgery as opioid-tolerant (at least 1 prescription) or opioid-naïve (zero prescriptions). We recorded patient characteristics, medical comorbidities, and surgical details, as well as the number of opioid prescriptions, MME per prescription from 30 days preoperatively to 90 days postoperatively, and the number of gamma-aminobutyric acid (GABA) analogues and benzodiazepine prescriptions from 30 days preoperatively to the date of surgery. Differences between cohorts were compared with the Fisher exact test and Wilcoxon test. A covariate-adjusted regression analysis was used to evaluate risk factors associated with increased postoperative opioid dosing. Results: Overall, 279 patients (n = 97 PRE; n = 182 POST; n = 42 opioid-tolerant; n = 237 opioid-naïve) were included in the final analysis. There was a significant reduction in the cumulative MME prescribed in the immediate (0-7 days) postoperative period (PRE, 450 MME vs POST, 315 MME), the first 30 postoperative days (PRE, 590 MME vs POST, 375 MME), and the first 90 postoperative days (PRE, 600 MME vs POST, 420 MME) ( Conclusion: Opioid prescription-limiting legislation in Ohio significantly reduced the cumulative MME prescribed in the first 30 days postoperatively for both opioid-naïve and opioid-tolerant patients after shoulder arthroscopy. Consumption of opioids, benzodiazepines, and GABA analogues preoperatively was associated with increased postoperative opioid dosage.
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.