ArticleWorld journal of emergency surgery : WJES2015
Epidemiology of spinal injuries in the United Arab Emirates.
Article in World journal of emergency surgery : WJES, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 19 citations in OpenAlex.
- Traumatic spine injuries in paediatric and adolescent patients: a registry-based study of ICU needs and clinical outcomes.BMC pediatrics · 2025Article
- "I am not the same as before": a mixed-methods study on depression in people with spinal injury in Qatar.Frontiers in psychiatry · 2024Article
- Article
- Thoracolumbar spine fracture patterns, etiologies, and treatment modalities in Jordan.Journal of trauma and injury · 2023Article
- Morphometric analysis of odontoid process among Arab population: a retrospective cone beam CT study.PeerJ · 2023Article
- National incidence of traumatic spinal fractures in China: Data from China National Fracture Study.Medicine · 2018Article
- Epidemiological profile of spinal cord injuries at a tertiary rehabilitation center in Kuwait.Spinal cord series and cases · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo assess the risk factors, mechanism of injury, and clinical outcome of hospitalized patients with spinal injuries in order to recommend preventive measures.
methodsPatients with spinal injuries admitted to Al Ain Hospital, United Arab Emirates (UAE) for more than 24 h or who died after arrival to the hospital were studied over 3 years. Demography, location and time of injury, affected body regions, hospital and ICU stay, and outcome were analyzed.
results239 patients were studied, 90 % were males, and 84 % were in the productive years of 25-54. Majority were from the Indian subcontinent (56 %). Road was the most common location for spinal injury (47 %), followed by work (39 %). The most common mechanism of injury was traffic collisions (48 %) followed by fall from height (39 %) and fall from the same level (9 %). UAE nationals were often injured at road and home compared with non-UAE nationals, who were more injured at work (p < 0.0001). Patients falling from the same level were older (p = 0.001) and predominantly females (p < 0.0001) when compared with other mechanisms. Spinal fractures were more common in the lumbar region (57 %). Eleven patients (5 %) sustained paraplegia and five (4 %) patients died.
interpretationTraffic injuries and falls were the leading causes for spinal injuries in the UAE. Expatriate males are at high risk for fall from height, UAE national males for traffic injuries and females for falls at the same level at homes. Prevention should focus on traffic and home injuries for UAE nationals and occupational safety for expatriate workers.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.