Evidence map›Paper›PMID 34992960›Full record

ReviewNeurology. Clinical practice2021

Review of Neurologic Comorbidities in Hospitalized Patients With Opioid Abuse.

Kevin R Nelson, Katelyn Dolbec, William Watson, Hanwen Yuan, Mam Ibraheem

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Neurology. Clinical practice, 2021. 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
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

5 authors at 2 institutions in 1 country.

Kevin R NelsonDepartment of Neurology (KRN, KD, WW, MI), University of Kentucky, Lexington; Department of Neurology (WW), Uniformed Services University, Bethesda, MD; Performance Analytics Center of Excellence (HY), University of Kentucky Health Care, Lexington; Department of Epidemiology (MI), University of Kentucky, Lexington; and Lexington VA Health Care System (Troy Bowling Campus) (MI), US Department of Veterans Affairs, KY.
Katelyn DolbecDepartment of Neurology (KRN, KD, WW, MI), University of Kentucky, Lexington; Department of Neurology (WW), Uniformed Services University, Bethesda, MD; Performance Analytics Center of Excellence (HY), University of Kentucky Health Care, Lexington; Department of Epidemiology (MI), University of Kentucky, Lexington; and Lexington VA Health Care System (Troy Bowling Campus) (MI), US Department of Veterans Affairs, KY.
William WatsonDepartment of Neurology (KRN, KD, WW, MI), University of Kentucky, Lexington; Department of Neurology (WW), Uniformed Services University, Bethesda, MD; Performance Analytics Center of Excellence (HY), University of Kentucky Health Care, Lexington; Department of Epidemiology (MI), University of Kentucky, Lexington; and Lexington VA Health Care System (Troy Bowling Campus) (MI), US Department of Veterans Affairs, KY.
Hanwen YuanDepartment of Neurology (KRN, KD, WW, MI), University of Kentucky, Lexington; Department of Neurology (WW), Uniformed Services University, Bethesda, MD; Performance Analytics Center of Excellence (HY), University of Kentucky Health Care, Lexington; Department of Epidemiology (MI), University of Kentucky, Lexington; and Lexington VA Health Care System (Troy Bowling Campus) (MI), US Department of Veterans Affairs, KY.
Mam IbraheemDepartment of Neurology (KRN, KD, WW, MI), University of Kentucky, Lexington; Department of Neurology (WW), Uniformed Services University, Bethesda, MD; Performance Analytics Center of Excellence (HY), University of Kentucky Health Care, Lexington; Department of Epidemiology (MI), University of Kentucky, Lexington; and Lexington VA Health Care System (Troy Bowling Campus) (MI), US Department of Veterans Affairs, KY.
University of Kentucky · USUniversity of Kentucky HealthCare · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo determine the prevalence and burden of neurologic comorbidities in hospitalized patients with opioid abuse. RECENT

findingsFrom 1 year of hospital discharges, 2,182 patients with opioid abuse were identified (prevalence 6.3%), with abuse greater among younger patients ( SUMMARY: Neurologic comorbidities are a frequent and heretofore underappreciated contributor to the disease burden of hospitalized patients with opioid abuse. The importance of neurologic comorbidities should be included in the public health discussions surrounding the opioid epidemic.

Identifiers

PMID34992960
PMCPMC8723930
OpenAlexW3153434058

What OpenQuestion holds

Textmetadata
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.