Evidence map›Paper›PMID 30601256›Full record

ArticleAnnals of surgery2020

Classifying Preoperative Opioid Use for Surgical Care.

Joceline V Vu, David C Cron, Jay S Lee, Vidhya Gunaseelan, Pooja Lagisetty, Matthew Wixson, Michael J Englesbe, Chad M Brummett, Jennifer F Waljee

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Annals of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

17 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
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  8. The Association of Cognitive Status and Post-Operative Opioid Prescribing in Older Adults.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2023
    Article
  9. Review
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  13. 2020 Clinical Update in Liver Transplantation.Journal of cardiothoracic and vascular anesthesia · 2022
    Review
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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

9 authors at 3 institutions in 1 country.

Joceline V VuDepartment of Surgery, University of Michigan, Ann Arbor, MI.
David C CronDepartment of Surgery, Massachusetts General Hospital, Boston, MA.
Jay S LeeDepartment of Surgery, University of Michigan, Ann Arbor, MI.
Vidhya GunaseelanDepartment of Surgery, University of Michigan, Ann Arbor, MI.
Pooja LagisettyDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI.
Matthew WixsonDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI.
Michael J EnglesbeDepartment of Surgery, University of Michigan, Ann Arbor, MI.
Chad M BrummettMichigan Opioid Prescribing Engagement Network, Ann Arbor, MI.
Jennifer F WaljeeDepartment of Surgery, University of Michigan, Ann Arbor, MI.
University of Michigan–Ann Arbor · USMassachusetts General Hospital · USVA Center for Clinical Management Research · US

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
Using Patient-Reported Outcomes to Assess the Quality of Hernia Care in MichiganF32DK115340 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VU, JOCELINE VUONG-THU · 2018 to 2018
$63k
NIDA NIH HHS R01 DA042859NIDDK NIH HHS F32 DK115340
6 · The paper itself

Abstract

objectiveWe characterized patterns of preoperative opioid use in patients undergoing elective surgery to identify the relationship between preoperative use and subsequent opioid fill after surgery.

backgroundPreoperative opioid use is common, and varies by dose, recency, duration, and continuity of fills. To date, there is little evidence to guide postoperative prescribing need based on prior opioid use.

methodsWe analyzed claims data from Clinformatics DataMart Database for patients aged 18 to 64 years undergoing major and minor surgery between 2008 and 2015. Preoperative use was defined as any opioid prescription filled in the year before surgery. We used cluster analysis to group patients by the dose, recency, duration, and continuity of use. Our primary outcome was second postoperative fill within 30 postoperative days. Our primary explanatory variable was opioid use group. We used logistic regression to examine likelihood of second fill by opioid use group.

resultsOut of 267,252 patients, 102,748 (38%) filled an opioid prescription in the 12 months before surgery. Cluster analysis yielded 6 groups of preoperative opioid use, ranging from minimal (27.6%) to intermittent (7.7%) to chronic use (2.7%). Preoperative opioid use was the most influential predictor of second fill, with larger effect sizes than other factors even for patients with minimal or intermittent opioid use. Increasing preoperative use was associated with risk-adjusted likelihood of requiring a second opioid fill compared with naive patients [minimal use: odds ratio (OR) 1.49, 95% confidence interval (95% CI) 1.45-1.53; recent intermittent use: OR 6.51, 95% CI 6.16-6.88; high chronic use: OR 60.79, 95% CI 27.81-132.92, all P values <0.001).

conclusionPreoperative opioid use is common among patients who undergo elective surgery. Although the majority of patients infrequently fill opioids before surgery, even minimal use increases the probability of needing additional postoperative prescriptions in the 30 days after surgery when compared with opioid-naive patients. Going forward, identifying preoperative opioid use can inform surgeon prescribing and care coordination for pain management after surgery.

Indexed as

Practice Patterns, Physicians'Surgical Procedures, OperativeAdolescentAdultAnalgesics, OpioidDrug PrescriptionsFemaleHumansIncidenceMaleMiddle AgedOpioid-Related DisordersPostoperative PainPreoperative PeriodRisk FactorsUnited StatesAnalgesics, Opioid

Identifiers

PMID30601256
PMCPMC7092502
OpenAlexW2908910423

What OpenQuestion holds

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Registered trials

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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.