Evidence map›Paper›PMID 37247946›Full record

ArticleRegional anesthesia and pain medicine2024

What evidence is needed to inform postoperative opioid consumption guidelines? A cohort study of the Michigan Surgical Quality Collaborative.

Jiyeon Song, Yi Li, Jennifer F Waljee, Vidhya Gunaseelan, Chad M Brummett, Michael J Englesbe, Mark C Bicket

Abstract read
In one paragraph

Article in Regional anesthesia and pain medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Impact of COVID-19 on Opioid Prescribing, Consumption, Pain, and Outcomes after Surgery.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jiyeon SongDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.ORCID 0000-0002-2180-3625
Yi LiDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Jennifer F WaljeeDepartment of Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Vidhya GunaseelanOpioid Prescribing Engagement Network, Institute for Health Policy and Innovation, Ann Arbor, MI, USA.
Chad M BrummettOpioid Prescribing Engagement Network, Institute for Health Policy and Innovation, Ann Arbor, MI, USA.
Michael J EnglesbeDepartment of Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Mark C BicketOpioid Prescribing Engagement Network, Institute for Health Policy and Innovation, Ann Arbor, MI, USA mbicket@med.umich.edu.ORCID 0000-0001-9406-5953

Funding

oPIOIDS: Prevention of Iatrogenic Opioid Dependence after SurgeryR01DA042859 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRUMMETT, CHAD M, WALJEE, JENNIFER FILIP · 2017 to 2021
$3.6M
New Statistical Methods for Modelling Cancer OutcomesR01CA249096 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Yi Li · 2021 to 2026
$2.5M
NCI NIH HHS R01 CA249096NIDA NIH HHS R01 DA042859
6 · The paper itself

Abstract

introductionTo balance adequate pain management while minimizing opioid-related harms after surgery, opioid prescribing guidelines rely on patient-reported use after surgery. However, it is unclear how many patients are required to develop precise guidelines. We aimed to compare patterns of use, required sample size, and the precision for patient-reported opioid consumption after common surgical procedures.

methodsWe analyzed procedure-specific 30-day opioid consumption data reported after discharge from 15 common surgical procedures between January 2018 and May 2019 across 65 hospitals in the Michigan Surgical Quality Collaborative. We calculated proportions of patients using no pills and the estimated number of pills meeting most patients' needs, defined as the 75th percentile of consumption. We compared several methods to model consumption patterns. Using the best method (Tweedie), we calculated sample sizes required to identify opioid consumption within a 5-pill interval and estimates of pills to meet most patients' needs by calculating the width of 95% CIs.

resultsIn a cohort of 10,688 patients, many patients did not consume any opioids after all types of procedures (range 20%-40%). Most patients' needs were met with 4 pills (thyroidectomy) to 13 pills (abdominal hysterectomy). Sample sizes required to estimate opioid consumption within a 5-pill wide 95% CI ranged from 48 for laparoscopic appendectomy to 188 for open colectomy. The 95% CI width for estimates ranged from 0.7 pills for laparoscopic cholecystectomy to 7.0 pills for ileostomy/colostomy.

conclusionsThis study demonstrates that profiles of opioid consumption share more similarities than differences for certain surgical procedures. Future investigations on patient-reported consumption are required for procedures not currently included in prescribing guidelines to ensure surgeons and perioperative providers can appropriately tailor recommendations to the postoperative needs of patients.

Indexed as

Analgesics, OpioidPostoperative PainCohort StudiesFemaleHumansMichiganPractice Patterns, Physicians'Analgesics, OpioidAcute PainAnalgesics, OpioidPain, Postoperative

Identifiers

PMID37247946
PMCPMC10684823

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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.