Evidence map›Paper›PMID 31120529›Full record

Observational studyPain medicine (Malden, Mass.)2020

Effect of Preoperative Opioid Use on Adverse Outcomes, Medical Spending, and Persistent Opioid Use Following Elective Total Joint Arthroplasty in the United States: A Large Retrospective Cohort Study of Administrative Claims Data.

Meridith Blevins Peratikos, Hannah L Weeks, Andrew J B Pisansky, R Jason Yong, Elizabeth Ann Stringer

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Pain medicine (Malden, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
12.2field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 90 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Persistent Opioid Use Following Major Orthopedic Surgery.Current pain and headache reports · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Meridith Blevins PeratikosaxialHealthcare Inc, Nashville, Tennessee.
Hannah L WeeksaxialHealthcare Inc, Nashville, Tennessee.
Andrew J B PisanskyDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
R Jason YongDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Elizabeth Ann StringeraxialHealthcare Inc, Nashville, Tennessee.
ProHealth Care · USBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBetween 17% and 40% of patients undergoing elective arthroplasty are preoperative opioid users. This US study analyzed patients in this population to illustrate the relationship between preoperative opioid use and adverse surgical outcomes.

designRetrospective study of administrative medical and pharmaceutical claims data. SUBJECTS: Adults (aged 18+) who received elective total knee, hip, or shoulder replacement in 2014-2015.

methodsA patient was a preoperative opioid user if opioid prescription fills occurred in two periods: 1-30 and 31-90 days presurgery. Zero-truncated Poisson (incidence rate ratio [IRR]), logistic (odds ratio [OR]), Cox (hazard ratio [HR]), and quantile regressions modeled the effects of preoperative opioid use and opioid dose, adjusted for demographics, comorbidities, and utilization.

resultsAmong 34,792 patients (38% hip, 58% knee, 4% shoulder), 6,043 (17.4%) were preoperative opioid users with a median morphine equivalent daily dose of 32 mg. Preoperative opioid users had increased length of stay (IRR = 1.03, 95% CI = 1.02 to 1.05), nonhome discharge (OR = 1.10, 95% CI = 1.00 to 1.21), and 30-day unplanned readmission (OR = 1.43, 95% CI = 1.17 to 1.74); experienced 35% higher surgical site infection (HR = 1.35, 95% CI = 1.14 to 1.59) and 44% higher surgical revision (HR = 1.44, 95% CI = 1.21 to 1.71); had a median $1,084 (95% CI = $833 to $1334) increase in medical spend during the 365 days after discharge; and had a 64% lower rate of opioid cessation (HR = 0.34, 95% CI = 0.33 to 0.35) compared with patients not filling two or more prescriptions across periods.

conclusionsPreoperative opioid users had longer length of stay, increased revision rates, higher spend, and persistent opioid use, which worsened with dose. Adverse outcomes after elective joint replacement may be reduced if preoperative opioid risk is managed through increased monitoring or opioid cessation.

Indexed as

Arthroplasty, ReplacementAgedAnalgesics, OpioidCohort StudiesFemaleHealth ExpendituresHumansLength of StayMaleMiddle AgedPatient ReadmissionPostoperative ComplicationsPreoperative PeriodRetrospective StudiesUnited StatesAnalgesics, OpioidArthroplastyCostsHealth OutcomesLength of StayOpioidReadmissionSurgerySurgical RevisionSurgical Site Infection

Identifiers

PMID31120529
PMCPMC7060398
OpenAlexW2945447934

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.