Evidence map›Paper›PMID 40746577›Full record

ReviewTurkish journal of emergency medicine

Emergency department pain management in special populations.

Katherine Vlasica, Amanda Hall, Mohammad Anzal Rehman, George Notas, Christina Shenvi, Sergey Motov

Abstract readReview
In one paragraph

Review in Turkish journal of emergency medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

6 authors.

Katherine VlasicaDepartment of Emergency Medicine, St. Joseph's Health, Paterson, NJ, USA.ORCID https://orcid.org/0009-0000-9763-7144
Amanda HallDepartment of Emergency Medicine, St. Joseph's Health, Paterson, NJ, USA.ORCID https://orcid.org/0009-0001-8984-7050
Mohammad Anzal RehmanDepartment of Emergency Medicine, Mediclinic City Hospital, Dubai, UAE.ORCID https://orcid.org/0000-0003-0081-7013
George NotasDepartment of Emergency Medicine, University Hospital of Heraklion, Crete, Greece.ORCID https://orcid.org/0000-0002-2506-5252
Christina ShenviDepartment of Emergency Medicine, University North Carolina Hospitals, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0003-2944-8581
Sergey MotovDepartment of Emergency Medicine, Maimonides Medical Center, Brooklyn, NY, USA.ORCID https://orcid.org/0000-0002-9668-216X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain is a leading cause of emergency department (ED) visits globally, yet certain patient populations experience persistent disparities in their pain management due to physiological complexities, comorbidities, and gaps in evidence-based guidelines. This clinical review focuses on individualized, evidence-based approaches to ED pain management in four vulnerable groups: pregnant and breastfeeding patients, patients with sickle cell disease, geriatric populations, and patients with cancer pain and requiring palliative care. The practical recommendations presented in this review for optimal ED pain management in these special populations call for timely, effective, and multimodal analgesia; prioritization of nonpharmacologic and pain syndrome-targeted techniques; awareness of drug-disease and drug-drug interactions; interdisciplinary coordination; and education to mitigate ED clinicians' biases. This review emphasizes the importance of tailoring pain strategies to population-specific needs to improve outcomes, reduce harm, and advance equity in emergency care delivery.

Indexed as

Analgesiaemergency departmentpain management

Identifiers

PMID40746577
PMCPMC12309824

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.