Evidence map›Paper›PMID 39763498›Full record

ArticleLancet regional health. Americas2024

Long-term prescription opioid use following surgery in the US (2017-2022): a population-based study.

Andrew J Schoenfeld, Zara Cooper, Amanda Banaag, Jonathan Gong, Matthew R Bryan, Christian Coles, Tracey P Koehlmoos

Erratum issuedAbstract read
In one paragraph

Article in Lancet regional health. Americas, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Targeting NaBritish journal of anaesthesia · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Andrew J SchoenfeldCenter for Surgery and Public Health, Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Zara CooperCenter for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Amanda BanaagHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., 6720A Rockledge Drive, Bethesda, MD, 20817, USA.
Jonathan GongDepartment of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Matthew R BryanHarvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA.
Christian ColesDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA.
Tracey P KoehlmoosDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Over the last decade, numerous efforts have been made to combat the opioid crisis globally. The impact of these strategies has not been adequately measured and may differ across populations depending on baseline risk. We compared changes in long-term prescription opioid use following surgery within a national US cohort, between 2017 and 2022. Methods: We used TRICARE claims data to identify individuals undergoing one of 14 representative surgical procedures. The rate of post-operative long-term prescription opioid use during 2020-22 was compared to 2017-19. We used modified Poisson regression analyses to adjust for confounding. We performed secondary analyses that accounted for interactions between the time period and race, pre-operative opioid use, surgical care setting and our proxy for socioeconomic status. Findings: Our data derived from TRICARE claims. We included 410,326 surgical events. Across both time periods, there were 213,212 females (52%), with a median age of 53 (IQR 22) and 207,188 individuals of White race (50%). The median co-morbidity index was 0 (IQR = 0). The rate of long-term post-operative opioid use was 11% in 2017-19, which reduced to 6% in 2020-22 (risk ratio [RR] 0.51; 95% CI 0.50, 0.52). Reductions were appreciated across all census divisions in the US and across all racial minorities, those of lower socioeconomic background and pre-operative chronic opioid users. Following multivariable analysis, there was a significant reduction in long-term prescription opioid use (RR 0.61; 95% CI 0.60, 0.63) after surgery in 2020-22 as compared to 2017-19. Interpretation: This investigation represents one of the largest and most comprehensive longitudinal assessments of opioid use following surgery. We found clinically relevant reductions in post-operative prescription opioid use in 2020-22 as compared to 2017-19. Given the representative nature of the study cohort, we believe these results are reflective of national trends. Funding: U.S. Department of Defense, Defense Health Agency (award # HU00012120089).

Indexed as

EpidemiologyLong-term opioid useOpioid crisisRisk factorsSocioeconomic statusSurgery

Identifiers

PMID39763498
PMCPMC11703578

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.