Evidence map›Paper›PMID 40575564›Full record

ArticleJournal of substance use2025

Preoperative Opioid Use and its Association with Postoperative Complications.

Jack D Sudduth, Jessica L Marquez, Catherine H Bautista, Joanna Chen, Jaewhan Kim, Giovanna Pires, Jayant P Agarwal, Alvin C Kwok

Abstract read
In one paragraph

Article in Journal of substance use, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Jack D SudduthDepartment of Surgery, Division of Plastic Surgery, The University of Utah, Salt Lake City, UT, USA.
Jessica L MarquezDepartment of Surgery, Division of Plastic Surgery, The University of Utah, Salt Lake City, UT, USA.
Catherine H BautistaDepartment of Surgery, Division of Plastic Surgery, The University of Utah, Salt Lake City, UT, USA.
Joanna ChenDepartment of Surgery, Division of Plastic Surgery, The University of Utah, Salt Lake City, UT, USA.
Jaewhan KimDepartment of Physical Therapy and Athletic Training, The University of Utah, Salt Lake City, UT, USA.
Giovanna PiresDepartment of Surgery, Division of Plastic Surgery, The University of Utah, Salt Lake City, UT, USA.
Jayant P AgarwalDepartment of Surgery, Division of Plastic Surgery, The University of Utah, Salt Lake City, UT, USA.
Alvin C KwokDepartment of Surgery, Division of Plastic Surgery, The University of Utah, Salt Lake City, UT, USA.

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
NCATS NIH HHS UM1 TR004409
6 · The paper itself

Abstract

Background: The negative impact of opioid use in the U.S. has led providers to seek alternative methods for pain control. More specifically, preoperative opioid usage has been demonstrated to adversely affect patients and clinical outcomes. This study aims to assess the extent of the relationship between preoperative opioid use on postoperative outcomes across surgical disciplines using statewide population databases. Methods: The study used the Utah All Payers Claims Database and Utah Population Database to identify a cohort of adult patients who underwent a single surgery between 2013-2016 and had continuous insurance enrollment. Preoperative opioid prescription within one year prior to the index surgery was the independent variable, while complications and hospital admissions one year following the index surgery were the primary outcomes. Results: Our model of 18,647 patients found that the odds of any complication with preoperative opioid use was 1.28. Depression (OR 1.17) and drug misuse (OR 1.41) were also associated with a higher risk of postoperative complications. Rates of hospital readmission in the preoperative opioid use group compared to the opioid naïve group were increased (19.43% vs. 12.44%, P < 0.01). Conclusion: The data can be used to guide patient-physician conversations and better inform prescribing habits perioperatively.

Indexed as

Opioid UsePostoperative Complications

Identifiers

PMID40575564
PMCPMC12192466

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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.