Evidence map›Paper›PMID 38864014›Full record

ArticleFrontiers in public health2024

Characteristics of injuries during the 2006 Lebanon conflict: a three-center retrospective study of survivors, 16 years after the conflict.

Theresa Farhat, Hasan Nahouli, Marwan Hajjar, Zahi Abdul-Sater, Elsa Kobeissi, Marilyne Menassa, Bachar F Chaya, Ahmad Elamine, Walaa G El Sheikh, Hani Tamim and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in public health, 2024. 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
–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

3 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

12 authors.

Theresa FarhatGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Hasan NahouliDivision of Orthopedic Surgery, Department of Surgery, American University of Beirut Medical Center, Beirut, Lebanon.
Marwan HajjarDivision of Plastic Surgery, Department of Surgery, American University of Beirut Medical Center, Beirut, Lebanon.
Zahi Abdul-SaterGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Elsa KobeissiGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Marilyne MenassaGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Bachar F ChayaDivision of Plastic Surgery, Department of Surgery, American University of Beirut Medical Center, Beirut, Lebanon.
Ahmad ElamineDivision of Plastic Surgery, Department of Surgery, American University of Beirut Medical Center, Beirut, Lebanon.
Walaa G El SheikhClinical Research Institute, American University of Beirut Medical Center, Beirut, Lebanon.
Hani TamimClinical Research Institute, American University of Beirut Medical Center, Beirut, Lebanon.
Shehan HettiaratchyCentre for Blast Injury Studies, Imperial College London, London, United Kingdom.
Ghassan Abu-SittahGlobal Health Institute, American University of Beirut, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Armed conflict injury is a growing public health concern, particularly in regions like the Middle East and North Africa (MENA). The protracted conflicts and political unrest in this region have led to a substantial number of injuries. Despite this, there is still limited understanding of the specific injury patterns stemming from conflicts, such as the 2006 Lebanon conflict. This study aimed to assess the characteristics and burdens of injuries resulting from this conflict, which occurred 16 years prior to this research. Methods: This retrospective study analyzed data of individuals affected by the 2006 Lebanon conflict, across three tertiary care centers. Demographics, injuries, complications, injury management, and hospitalization expenses were extracted from medical records and analyzed using SPSS version 29.0. Categorical variables were presented as counts and proportions, and continuous variables as mean ± standard deviation (SD). Hospital comparisons utilized chi-square or Fisher's exact tests for categorical variables, and one-way ANOVAs for continuous variables. Analysis was conducted from September to November 2023. Results: Across three hospitals, 341 patients were studied, comprising 73.6% males and 26.4% females. Among them, a notable proportion (57.3% males and 34.1% females) fell within the 18-39 age range. Children and adolescents under 18 years accounted for 15.9% of males and 25.9% of females. Blast-related injuries predominated, with 24.5% resulting from direct damage caused by explosive parts and 33.3% from blast wave forces. Extremity trauma occurred in 49.0% of patients, and head/neck trauma in 24.9%. Common injuries, including penetrating, musculoskeletal, and traumatic brain injuries affected 34.9%, 31.1, and 10.0% of patients, respectively. Wound repair, fracture treatment, and debridement were the most performed procedures on 15.5, 13.5 and 9.7% of the patients, respectively. The total cost of care was USD 692,711, largely covered by the Ministry of Public Health (95.9%). Conclusion: Conflict-related injuries significantly contribute to the global burden of disease. Therefore, there is a pressing need to improve national guidelines to prioritize life-threatening cases and potential long-term disabilities. Furthermore, enhancing electronic registry systems to collect clinical data on injured patients is essential for conducting research and better understanding the needs of conflict casualties.

Indexed as

SurvivorsWounds and InjuriesAdolescentAdultAgedArmed ConflictsChildChild, PreschoolFemaleHumansInfantLebanonMaleMiddle AgedRetrospective StudiesTertiary Care Centersarmed conflictdisabilityLebanonwarwar injuries

Identifiers

PMID38864014
PMCPMC11165059

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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.