Evidence map›Paper›PMID 37178101›Full record

ArticleAnnals of emergency medicine2023

National Institute on Drug Abuse Clinical Trials Network Meeting Report: Advancing Emergency Department Initiation of Buprenorphine for Opioid Use Disorder.

Ethan Cowan, Jeanmarie Perrone, Steven L Bernstein, Edouard Coupet, David A Fiellin, Kathryn Hawk, Andrew Herring, Kristen Huntley, Ryan McCormack, Arjun Venkatesh and 1 more

Abstract read
In one paragraph

Article in Annals of emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Peer support for patients with opioid use disorder in the emergency department: A narrative review.Journal of the American College of Emergency Physicians open · 2024
    Review
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

11 authors.

Ethan CowanDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: ethan.cowan@mountsinai.org.
Jeanmarie PerroneDepartment of Emergency Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Steven L BernsteinGeisel School of Medicine at Dartmouth, Hanover, NH.
Edouard CoupetDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.
David A FiellinDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT.
Kathryn HawkDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.
Andrew HerringDepartment of Emergency Medicine, Highland Hospital-Alameda Health System, University of California, San Francisco, CA.
Kristen HuntleyThe National Institute on Drug Abuse, Rockville, MD, USA.
Ryan McCormackDepartment of Emergency Medicine, New York University School of Medicine, New York, NY.
Arjun VenkateshDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.
Gail D'OnofrioDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.

Funding

Project-003UG1DA013035 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Aimee N Campbell, Jennifer McNeely · 2015 to 2026
$130.3M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
CU PARTNERS: NY/LONG ISLAND REGIONAL NODEU10DA013035 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI NUNES, EDWARD V., ROTROSEN, JOHN P · 2001 to 2015
$47.6M
Measuring Improvement in the Quality of ED-initiated Treatment for OUD using ObservationR33DA049265 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MCCORMACK, RYAN P · 2020 to 2023
$3.3M
Measuring Improvement in the Quality of ED-initiated Treatment for OUD using ObservationR61DA049265 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MCCORMACK, RYAN P · 2019 to 2019
$520k
FY19. BASE AWARD. NIDA CLINICAL TRIALS RESEARCH COORDINATION CENTER REF. # N01DA-19-2249. PERIOD OF PERFORMANCE: 08/27/2019 TO 08/26/2020.75N95019C00054 · NIDA · LEED MANAGEMENT CONSULTING, INC. · PI BRAXTON, KAREN · 2019 to 2019
$290k
NCATS NIH HHS UL1 TR001863NIDA NIH HHS 75N95019C00054NIDA NIH HHS R33 DA049265NIDA NIH HHS R61 DA049265NIDA NIH HHS UG1 DA013035
6 · The paper itself

Abstract

Opioid use disorder and opioid overdose deaths are a major public health crisis, yet highly effective evidence-based treatments are available that reduce morbidity and mortality. One such treatment, buprenorphine, can be initiated in the emergency department (ED). Despite evidence of efficacy and effectiveness for ED-initiated buprenorphine, universal uptake remains elusive. On November 15 and 16, 2021, the National Institute on Drug Abuse Clinical Trials Network convened a meeting of partners, experts, and federal officers to identify research priorities and knowledge gaps for ED-initiated buprenorphine. Meeting participants identified research and knowledge gaps in 8 categories, including ED staff and peer-based interventions; out-of-hospital buprenorphine initiation; buprenorphine dosing and formulations; linkage to care; strategies for scaling ED-initiated buprenorphine; the effect of ancillary technology-based interventions; quality measures; and economic considerations. Additional research and implementation strategies are needed to enhance adoption into standard emergency care and improve patient outcomes.

Indexed as

BuprenorphineOpioid-Related DisordersEmergency Service, HospitalHumansNarcotic AntagonistsNational Institute on Drug Abuse (U.S.)United StatesBuprenorphineNarcotic Antagonists

Identifiers

PMID37178101
PMCPMC10524880

What OpenQuestion holds

Textmetadata
LicenceTDM
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.