Evidence map›Paper›PMID 42221276›Full record

ArticlePlastic and reconstructive surgery. Global open2026

Adequacy of Emergency Physicians in the Assessment of Hand Injury: A Cross-sectional Study.

Rahaf Almutairi, Aseel Alkhmeshi, Renad Alsaeed, Almaha Alhumaidan, Faisal Alayed, Ali Alghamdi, Abdulaziz Almodumeegh, Abdulmohsen Allazzam, Amr Youssef Arkoubi

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Article in Plastic and reconstructive surgery. Global open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rahaf AlmutairiFrom the College of Medicine, Imam Mohamed bin Saud Islamic University, Riyadh, Saudi Arabia.
Aseel AlkhmeshiFrom the College of Medicine, Imam Mohamed bin Saud Islamic University, Riyadh, Saudi Arabia.
Renad AlsaeedFrom the College of Medicine, Imam Mohamed bin Saud Islamic University, Riyadh, Saudi Arabia.
Almaha AlhumaidanFrom the College of Medicine, Imam Mohamed bin Saud Islamic University, Riyadh, Saudi Arabia.
Faisal AlayedFrom the College of Medicine, Imam Mohamed bin Saud Islamic University, Riyadh, Saudi Arabia.
Ali AlghamdiFrom the College of Medicine, Imam Mohamed bin Saud Islamic University, Riyadh, Saudi Arabia.
Abdulaziz AlmodumeeghFrom the College of Medicine, Imam Mohamed bin Saud Islamic University, Riyadh, Saudi Arabia.
Abdulmohsen AllazzamCollege of Medicine, King Saud Islamic University, Riyadh, Saudi Arabia.
Amr Youssef ArkoubiFrom the College of Medicine, Imam Mohamed bin Saud Islamic University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hand injuries account for a significant portion of emergency department visits. This study assessed the competency of emergency physicians in the initial management of common hand injuries and identified areas for improvement in assessment and treatment. Methods: We distributed a case scenario-based questionnaire among emergency physicians in Saudi Arabia registered in the Saudi Commission for Health Specialist database. The questionnaire assessed the adequacy of their management of the most common hand injuries. Results: Overall, 282 physicians were included; 66.3% were men, and only 8.2% were consultants. The overall mean hand injury knowledge score was 10.46 points out of 20 (SD = 3.92), indicating moderate knowledge. Male physicians scored significantly lower ( Conclusions: This study identified gaps in emergency physician management of common hand injuries, highlighting the need for targeted training. Enhancing assessment and treatment skills will improve patient outcomes, triage efficiency, and overall quality of emergency care.

Identifiers

PMID42221276
PMCPMC13218761

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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.