Evidence map›Paper›PMID 31851144›Full record

ArticleSpine2020

US Trends of Opioid-use Disorders and Associated Factors Among Hospitalized Patients With Spinal Conditions and Treatment From 2005 to 2014.

Se Won Lee, Jay Shen, Sun Jung Kim, Sung-Youn Chun, Pearl Kim, Jahan Riaz, Ji Won Yoo, Jinwook Hwang

Open access · hybridAbstract read
In one paragraph

Article in Spine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Analyzing the Impact of Cannabinoids on the Treatment of Spinal Disorders.Current reviews in musculoskeletal medicine · 2022
    Review
  9. Article
  10. Article
  11. 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 at 3 institutions in 2 countries.

Se Won LeeDepartment of Physical Medicine and Rehabilitation, Mountain View Hospital, Las Vegas, NV.
Jay ShenDepartment of Health Care Administration and Policy, School of Public Health, University of Nevada Las Vegas, Las Vegas, NV.
Sun Jung KimDepartment of Health Administration and Management, Soonchunhyang University, Asan, Chungcheongnam-do, Korea.
Sung-Youn ChunDepartment of Health Care Administration and Policy, School of Public Health, University of Nevada Las Vegas, Las Vegas, NV.
Pearl KimDepartment of Health Care Administration and Policy, School of Public Health, University of Nevada Las Vegas, Las Vegas, NV.
Jahan RiazDepartment of Internal Medicine, University of Nevada Las Vegas School of Medicine, Las Vegas, NV.
Ji Won YooDepartment of Internal Medicine, University of Nevada Las Vegas School of Medicine, Las Vegas, NV.
Jinwook HwangDepartment of Health Care Administration and Policy, School of Public Health, University of Nevada Las Vegas, Las Vegas, NV.
University of Nevada, Las Vegas · USKorea University Medical Center · KRSoonchunhyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designSerial cross-sectional study utilizing the National Inpatient Sample (NIS) 2005 to 2014.

objectiveThe aim of this study was to examine the trends of opioid-use disorders among hospitalized patients with spinal conditions and treatment and to identify its contributing factors. SUMMARY OF BACKGROUND DATA: The opioid is widely used in chronic spinal conditions, and misuse of prescriptions is the main culprit of the opioid crisis. Cannabis, the most commonly utilized illicit drug, has recently been substituted for opioid despite increasing cannabis-use emergency room visits. There is limited information on opioid-use disorders, the association with cannabis, and other contributing factors.

methodsWe analyzed the 2005 to 2014 NIS data that identified opioid-use disorders among hospitalized patients with cervical and lumbar spinal conditions and treatment using the International Classification of Disease, Ninth Revision-Clinical Modification codes for opioid abuse, dependence, poisoning, and cervical and lumbar spinal diseases and procedures. The compound annual growth rate (CAGR) was used to quantify trends of opioid-use disorders among hospitalized patients. Multilevel and multivariable regression analyses were performed to determine their contributing factors.

resultsThe number of hospitalizations with spinal conditions and treatment increased from 2005 to 2011, then decreased between 2011 and 2014 with an overall decrease in length of stay, resulting in the CAGR of -1.60% (P < .001). Almost 3% (2.93%, n = 557,423) of hospitalized patients with spinal conditions and treatment were diagnosed as opioid-use disorders and its CAGR was 6.47% (P < .0001). Opioid-use disorders were associated with cannabis-use disorders (odds ratio 1.714), substance use, mental health condition, younger age, white race, male sex, higher household income, and public insurance or uninsured.

conclusionThis study suggests that opioid-use disorders are increasing among hospitalized patients with spinal conditions and treatment and associated with several demographic, and socioeconomic factors, including cannabis-use disorders. LEVEL OF EVIDENCE: 3.

Indexed as

AdultAgedAged, 80 and overAge FactorsCervical VertebraeCross-Sectional StudiesDatabases, FactualDiagnosis, Dual (Psychiatry)FemaleHospitalizationHumansIncomeInpatientsInsurance, HealthLumbar VertebraeMale

Identifiers

PMID31851144
PMCPMC6924939
OpenAlexW2995257180

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.