Evidence map›Paper›PMID 39709188›Full record

ArticleRegional anesthesia and pain medicine2026

Opioid consumption in the first 30 days after surgery was independently associated with new persistent opioid use.

Brittany A Ervin-Sikhondze, Vidhya Gunaseelan, Kao-Ping Chua, Mark C Bicket, Jennifer F Waljee, Michael J Englesbe, Chad M Brummett

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Regional anesthesia and pain medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07588802 (Effect of Opioid-Sparing Anesthesia on Postoperative Opioid Consumption and Pain in Spine Surgery), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT07588802 phase2not yet recruitingnot on this map

Effect of Opioid-Sparing Anesthesia on Postoperative Opioid Consumption and Pain in Spine Surgery

TypeinterventionalSponsorMassachusetts General HospitalRan2026 to 2027Enrolled120ConditionsOpoid Managment, Pain ManagementArmsOpioid-Sparing Protocol, Routine anesthesia protocol
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Targeting NaBritish journal of anaesthesia · 2025
    Article
  3. PostRegional anesthesia and pain medicine · 2025
    Article
  4. 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.

Brittany A Ervin-SikhondzeDepartment of Anesthesiology, Michigan Medicine, Ann Arbor, Michigan, USA.ORCID 0000-0002-0516-9257
Vidhya GunaseelanOverdose Prevention Engagement Network, Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA.
Kao-Ping ChuaDepartment of Pediatrics, Michigan Medicine, Ann Arbor, Michigan, USA.
Mark C BicketDepartment of Anesthesiology, Michigan Medicine, Ann Arbor, Michigan, USA.ORCID 0000-0001-9406-5953
Jennifer F WaljeeOverdose Prevention Engagement Network, Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA.
Michael J EnglesbeOverdose Prevention Engagement Network, Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA.
Chad M BrummettDepartment of Anesthesiology, Michigan Medicine, Ann Arbor, Michigan, USA cbrummet@med.umich.edu.

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
Evaluating Policy Interventions to Decrease Excessive and Risky Perioperative Opioid PrescribingR01DA057284 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHUA, KAO-PING, WALJEE, JENNIFER FILIP · 2022 to 2025
$2.5M
NIDA NIH HHS R01 DA042859NIDA NIH HHS R01 DA057284
6 · The paper itself

Abstract

introductionPrevious studies suggest that new persistent opioid use (NPOU) after surgery was associated with larger perioperative opioid prescriptions, but the association between NPOU and postoperative opioid consumption is unknown.

methodsThis retrospective study included opioid naïve individuals aged 18-64 who underwent surgical procedures across 70 Michigan hospitals between July 1, 2018 and November 15, 2021 and were prescribed opioids at discharge. We used clinical and patient-reported opioid consumption data from the Michigan Surgical Quality Collaborative, a statewide surgical registry, linked with the state Prescription Drug Monitoring Program. Multivariable logistic regression modeling was used to assess the association between patient-reported opioid consumption during the 30 days after discharge and NPOU, defined as having an opioid fill during both 31-120 days and 121-210 days after discharge.

resultsAmong 36,271 patients included, 482 (1.3%) developed NPOU. These patients consumed more opioid pills in the first 30 days postoperatively than those without NPOU (mean (SD): 7.3 (8.4) 5 mg oxycodone equivalent pills vs 4.1 (5.5), SMD=-0.41). In adjusted analyses, each additional opioid pill consumed in the 30-day postoperative period was associated with a 0.05 percentage-point increase in the predicted probability of NPOU (95% CI 0.04 to 0.07 percentage points). Thus, holding all other variables constant, a 10-pill increase in consumption would be associated with a 0.5 percentage-point increase in the probability of NPOU, or a 38.4% increase relative to the baseline rate of 1.3%.

conclusionDemonstrating that opioid consumption in the first 30 days after surgery was independently associated with NPOU underscores the importance of perioperative opioid prescribing on long-term outcomes.

Indexed as

Analgesics, OpioidOpioid-Related DisordersPostoperative PainAdolescentAdultFemaleHumansMaleMichiganMiddle AgedRegistriesRetrospective StudiesTime FactorsYoung AdultAnalgesics, OpioidAcute PainOpioidsPain, PostoperativePostoperative Complications

Identifiers

PMID39709188
PMCPMC12179320

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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.