Evidence map›Paper›PMID 28636707›Full record

ArticleJAMA surgery2017

Incidence and Predictors of Opioid Prescription at Discharge After Traumatic Injury.

Muhammad Ali Chaudhary, Andrew J Schoenfeld, Alyssa F Harlow, Anju Ranjit, Rebecca Scully, Ritam Chowdhury, Meesha Sharma, Stephanie Nitzschke, Tracey Koehlmoos, Adil H Haider

Open access · bronzeAbstract read
In one paragraph

Article in JAMA surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
10.9field-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

41 citing papers in PubMed, 122 citations in OpenAlex.

  1. Trial
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  9. Opioid Prescribing Disparity in Traumatically Injured Patients.Journal of the American College of Surgeons · 2025
    Article
  10. Article
  11. Optimizing acute pain management in trauma care: the role, structure and core principles of acute trauma pain services.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Review
  12. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Muhammad Ali ChaudharyCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Andrew J SchoenfeldCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Alyssa F HarlowCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Anju RanjitCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Rebecca ScullyCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Ritam ChowdhuryCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Meesha SharmaCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Stephanie NitzschkeCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Tracey KoehlmoosUniformed Services University of Health Sciences, Bethesda, Maryland.
Adil H HaiderCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Harvard University · USBrigham and Women's Hospital · USUniformed Services University of the Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceIn the current health care environment with increased scrutiny and growing concern regarding opioid use and abuse, there has been a push toward greater regulation over prescriptions of opioids. Trauma patients represent a population that may be affected by this regulation, as the incidence of pain at hospital discharge is greater than 95%, and opioids are considered the first line of treatment for pain management. However, the use of opioid prescriptions in trauma patients at hospital discharge has not been explored.

objectiveTo study the incidence and predictors of opioid prescription in trauma patients at discharge in a large national cohort. DESIGN, SETTING, AND

participantsAnalysis of adult (18-64 years), opioid-naive trauma patients who were beneficiaries of Military Health Insurance (military personnel and their dependents) treated at both military health care facilities and civilian trauma centers and hospitals between January 1, 2006, and December 31, 2013, was conducted. Patients with burns, foreign body injury, toxic effects, or late complications of trauma were excluded. Prior diagnosis of trauma within 1 year and in-hospital death were also grounds for exclusion. Injury mechanism and severity, comorbid conditions, mental health disorders, and demographic factors were considered covariates. The Drug Enforcement Administration's list of scheduled narcotics was used to query opioid use. Unadjusted and adjusted logistic regression models were used to determine the predictors of opioid prescription. Data analysis was performed from June 7 to August 21, 2016. EXPOSURES: Injury mechanism and severity, comorbid conditions, mental health disorders, and demographic factors. MAIN OUTCOMES AND MEASURES: Prescription of opioid analgesics at discharge.

resultsAmong the 33 762 patients included in the study (26 997 [80.0%] men; mean [SD] age, 32.9 [13.3] years), 18 338 (54.3%) received an opioid prescription at discharge. In risk-adjusted models, older age (45-64 vs 18-24 years: odds ratio [OR], 1.28; 95% CI, 1.13-1.44), marriage (OR, 1.26; 95% CI, 1.20-1.34), and higher Injury Severity Score (≥9 vs <9: OR, 1.40; 95% CI, 1.32-1.48) were associated with a higher likelihood of opioid prescription at discharge. Male sex (OR, 0.76; 95% CI, 0.69-0.83) and anxiety (OR, 0.82; 95% CI, 0.73-0.93) were associated with a decreased likelihood of opioid prescription at discharge. CONCLUSIONS AND RELEVANCE: The incidence of opioid prescription at discharge (54.3%) closely matches the incidence of moderate to severe pain in trauma patients, indicating appropriate prescribing practices. We advocate that injury severity and level of pain-not arbitrary regulations-should inform the decision to prescribe opioids.

Indexed as

Military PersonnelPatient DischargeAdolescentAdultAnalgesics, OpioidFemaleHumansIncidenceMaleMiddle AgedPainRetrospective StudiesWounds and InjuriesYoung AdultAnalgesics, Opioid

Identifiers

PMID28636707
PMCPMC5831457
OpenAlexW2644927674

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.