Evidence map›Paper›PMID 41769133›Full record

ReviewSage open pediatrics

Managing Pediatric Pain in Low-Resource Emergency Settings: Barriers, Advances, and Future Directions.

Mohammed Alaswad, Eslam Abady, Elsayed S Moubarak, Mayar M Aziz, Shree Rath, Olalekan John Okesanya, Mohammed Alsabri

Abstract readReview
In one paragraph

Review in Sage open pediatrics. 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
–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

1 citing paper in PubMed.

  1. 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

7 authors.

Mohammed AlaswadUniversity of Hama, Syria.ORCID https://orcid.org/0009-0001-8592-0898
Eslam AbadyTanta University, Egypt.ORCID https://orcid.org/0009-0007-2087-3297
Elsayed S MoubarakCairo University, Egypt.
Mayar M AzizMenoufia University, Menouf, Egypt.ORCID https://orcid.org/0009-0002-5067-6335
Shree RathAll India Institute of Medical Sciences Bhubaneswar, India.ORCID https://orcid.org/0009-0000-4273-0827
Olalekan John OkesanyaUniversity of Thessaly, Volos, Greece.
Mohammed AlsabriAl-Thawara Modern General Hospital, Sana'a, Yemen.ORCID https://orcid.org/0000-0002-7278-2289

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric pain remains frequently under-recognized and inadequately managed in emergency departments (EDs), particularly in low- and middle-income countries (LMICs), leading to significant physical and psychological harm. This narrative review synthesizes current evidence on pediatric pain management in LMIC emergency settings, highlighting both established practices and emerging innovations. Established approaches include pharmacologic interventions such as acetaminophen, NSAIDs, and opioids and cost-effective non-pharmacologic methods like distraction, guided imagery, and parental involvement. Despite their demonstrated benefits, implementation in LMICs is hindered by limited provider training, restricted access to essential analgesics, and cultural misconceptions about childhood pain. Emerging innovations involve task-shifting models to expand workforce capacity, digital and AI pain assessment tools, and context-adapted community interventions. Improving pediatric pain care in LMICs demands a multifaceted strategy integrating culturally adapted assessment tools, equitable access to analgesics, scalable non-pharmacologic interventions, and sustainable workforce development supported by technology-driven solutions.

Indexed as

developing countrieshealth educationpain managementpediatric emergencyresource-limited settings

Identifiers

PMID41769133
PMCPMC12949272

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.