Evidence map›Paper›PMID 34849405›Full record

ArticleHealth science reports2021

Road traffic injury in Lebanon: A prospective study to assess injury characteristics and risk factors.

Joseph Ghoubaira, Marwa Diab, Hasan Nassereldine, Hani Tamim, Samer Saadeh, Raymond Price, Moustafa Moustafa, Samar Al-Hajj

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2021. 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
1.2field-weighted citation impact, top 20% of its field
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, 8 citations in OpenAlex.

  1. From Prediction to Prevention: Using Text Mining and Explainable Machine Learning for Urban Bus Accident Analytics.Risk analysis : an official publication of the Society for Risk Analysis · 2026
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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

8 authors at 5 institutions in 2 countries.

Joseph GhoubairaFaculty of Medicine American University of Beirut Beirut Lebanon.ORCID https://orcid.org/0000-0003-4006-2743
Marwa DiabFaculty of Medicine American University of Beirut Beirut Lebanon.
Hasan NassereldineFaculty of Medicine American University of Beirut Beirut Lebanon.
Hani TamimDepartment of Internal Medicine American University of Beirut Medical Center Beirut Lebanon.
Samer SaadehEmergency Department ZHUMC Medical Center Lebanese University Beirut Lebanon.
Raymond PriceCenter for Global Surgery, University of Utah Salt Lake Utah USA.
Moustafa MoustafaDepartment of Surgery The University of Virginia Richmond Virginia USA.
Samar Al-HajjFaculty of Medicine American University of Beirut Beirut Lebanon.
American University of Beirut · LBAmerican University of Beirut Medical Center · LBLebanese University · LBUniversity of Richmond · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoad traffic injury (RTI) is a significant yet poorly characterized cause of morbidity and mortality in the Middle East. This hospital-based-study examined RTI in Lebanon and provided an understanding of their characteristics.

methodsWe collected prospective RTI data from three participating hospitals over 3 months using a designed tool based on Canadian CHIRPP and WHO tools. We performed logistic regression analysis to examine the relationship between contributing risk factors (age, sex) and injury types as well as the association of safety measures used (seatbelts or helmets) and body parts injured.

resultsA total of 153 patients were collected. Male preponderance with 72%, with mean age 32.6 (SD = 14.9) years. RTI was highest among passengers aged 15 to 29 (48%). Motorcyclists comprised the greatest injury proportion (38%), followed by vehicle-occupants (35%), and pedestrians (25%) (

conclusionsRTI is a major health problem in Lebanon. Safety measures, though poorly adhered to, were associated with less severe injuries, and should be further promoted via awareness campaigns and enforcement. Trauma registries are needed to assess the RTI burden and inform safety interventions and quality-of-care improvement programs.

Indexed as

middle eastern region' Lebanonroad traffic injurytraumatic brain injury

Identifiers

PMID34849405
PMCPMC8611407
OpenAlexW3217649638

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.