Evidence map›Paper›PMID 40566078›Full record

ReviewJournal of clinical medicine2025

Are There Benefits to Observation Units in the Emergency Departments: A Narrative Review.

Emmeline Leggett, Shirin Haan, Carolina Mendoza, Ali Pourmand, Sarah Sommerkamp, Rose Chasm, Jason Adler, Michael C Bond, Quincy K Tran

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. 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. Condition-Specific Protocols Used in the Emergency Department Observation Unit: A Scoping Review.Journal of the American College of Emergency Physicians open · 2026
    Review
  2. Article
  3. Article
  4. Streamlining Care: Effective Approaches to Decreasing Observation Status Length of Stay in Community Medical Centers.Journal for healthcare quality : official publication of the National Association for Healthcare Quality
    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

9 authors.

Emmeline LeggettSchool of Medicine, University of Maryland, Baltimore, MD 21201, USA.
Shirin HaanResearch Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, School of Medicine, University of Maryland, Baltimore, MD 21201, USA.
Carolina MendozaDepartment of Emergency Medicine, School of Medicine, University of Maryland, Baltimore, MD 21201, USA.
Ali PourmandDepartment of Emergency Medicine, School of Medicine and Health Sciences, George Washington University, Washington, DC 20052, USA.ORCID 0000-0002-8440-8454
Sarah SommerkampDepartment of Emergency Medicine, School of Medicine, University of Maryland, Baltimore, MD 21201, USA.ORCID 0009-0006-1332-2828
Rose ChasmDepartment of Emergency Medicine, School of Medicine, University of Maryland, Baltimore, MD 21201, USA.ORCID 0000-0002-0423-6630
Jason AdlerDepartment of Emergency Medicine, School of Medicine, University of Maryland, Baltimore, MD 21201, USA.ORCID 0000-0003-4147-7684
Michael C BondDepartment of Emergency Medicine, School of Medicine, University of Maryland, Baltimore, MD 21201, USA.ORCID 0000-0001-5527-6758
Quincy K TranResearch Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, School of Medicine, University of Maryland, Baltimore, MD 21201, USA.ORCID 0000-0002-7774-154X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ED length of stayemergency departmenthospital admissionobservation units

Identifiers

PMID40566078
PMCPMC12194427

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.