Evidence map›Paper›PMID 30078022›Full record

ArticleAnnals of Saudi medicine

Patterns of injury detected by pan-computed tomography after road traffic accidents: retrospective review from a trauma center in Saudi Arabia.

Ali Al Orf, Khawaja Bilal Waheed, Aftab Ahmed Baig, Khaled Saleh Mohammad, Mohamed Nasr El Sirafy, Muhammad Sohail Amin, Zechriah Jebakumar Arulanatham

Abstract read
In one paragraph

Article in Annals of Saudi medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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.

Ali Al Orf
Khawaja Bilal WaheedDr. Khawaja Bilal Waheed, Department of Radiology,, King Fahad Military Medical Complex,, Dhahran, Saudi Arabia, T: +966138440000 ext: 3222, F:+96613844000-3207, khawaja@kfmmc.med.sa, ORCID: http://orcid.org/0000-0001-6340-3139.
Aftab Ahmed Baig
Khaled Saleh Mohammad
Mohamed Nasr El Sirafy
Muhammad Sohail Amin
Zechriah Jebakumar Arulanatham

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPan-scan (whole-body) computed tomography (CT) has a paramount role in the diagnosis of injuries in road traffic accidents (RTA).

objectiveIdentify patterns of injuries on pan-CT scans.

designRetrospective medical record review.

settingTertiary care center. PATIENTS AND

methodsThe records of all RTA patients who presented to the radiology department at King Fahad Military Medical Complex (KFMMC) in Dhahran for the 3-year period from July 2014 to July 2017 and underwent pan-CT were retrospectively reviewed. Drivers and front-seat passengers with complete clinical information on seating, safety and mechanism of injury were selected. Children under 5 years of age, pregnant women and back-seat passengers were excluded. Patterns of injuries were categorized as 'no abnormality detected' (NAD), isolated or combined head, face and neck (H), isolated or combined chest, abdomen and pelvis (C) or both regions of the body (B).

main outcome measuresInjury patterns on pan-CT scans. SAMPLE SIZE: 305

resultsMost patients were males (n=287, 94.1%). The median age was 26 years for males (IQR, 22-33 years) and 30 years for females (IQR, 28-39). More than two-thirds were drivers (all males); the remainder were front-seat passengers. Young males were most often involved. The most common type of accident was a roll-over. Of those who sustained injuries, 273 (89.5%) were not wearing a seat belt (unrestrained). The patterns of injuries were NAD (87, 28%), H (27, 9%), C (93, 30.5%), B (98, 32%).

conclusionWhen abnormalities were detected, most high-speed vehicular injuries affected the torso. Unrestrained young male drivers are most often involved in RTAs in Saudi Arabia. LIMITATIONS: Retrospective study with a small sample size. Types and severity of injuries on pan-CT were not documented. CONFLICT OF INTEREST: None.

Indexed as

Accidents, TrafficAdultHumansIncidenceInjury Severity ScoreRetrospective StudiesRisk FactorsSaudi ArabiaTomography, X-Ray ComputedTrauma CentersWounds and InjuriesYoung Adult

Identifiers

PMID30078022
PMCPMC6086669

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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.