Pattern of unintentional burns: A hospital based study from Pakistan

Adil, Syed Omair; Ibran, Ehmer-Al; Nisar, Nighat; Shafique, Kashif

doi:10.1016/j.burns.2016.03.020

Cited by 3 publications

(1 citation statement)

References 21 publications

(29 reference statements)

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“…Many of the studies reporting this association are conducted in low-and middle-income countries; however, even in the United States, as previously mentioned, access to education is highly variable and plays a significant role in health outcomes. Many studies report on the patient or caretaker's level of education being associated with burn risk, injury, or severity [38,43,45,[77][78][79][80]. Low levels of education were also associated with a higher risk for suicide by burns [81], and better maternal education has been shown to be a protective factor of pediatric burns [38,82].…”

Section: Education Access and Qualitymentioning

confidence: 99%

What Fuels the Fire: A Narrative Review of the Role Social Determinants of Health Play in Burn Injuries

Khoo

Ross

Yoon

et al. 2022

EBJ

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Social determinants of health (SDOH) are the conditions where people live, learn, work, and play that affect their health and quality of life. There has been an increasing focus on the SDOH in the field of medicine to both explain and address health outcomes. Both the risk of burn injuries and outcomes after burns have been found to be associated with multiple aspects of the SDOH. This narrative review seeks to explore the main domains of the social determinants of health, reiterate their importance to the general and burn injury population, examine each’s association with risks of burn injuries and burn-related outcomes, and provide an overview of the current burn research landscape that describes the social determinants of health.

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Section: Education Access and Qualitymentioning

confidence: 99%

What Fuels the Fire: A Narrative Review of the Role Social Determinants of Health Play in Burn Injuries

Khoo

Ross

Yoon

et al. 2022

EBJ

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Changes in burn mortality in Bangladesh: Findings from Bangladesh Health and Injury Survey (BHIS) 2003 and 2016

Mashreky

Shawon²,

Biswas³

et al. 2018

Burns

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Prioritization of Candidate Biomarkers for Degenerative Aortic Stenosis through a Systems Biology-Based In-Silico Approach

Corbacho-Alonso

Sastre-Oliva

Corros

et al. 2022

JPM

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Degenerative aortic stenosis is the most common valve disease in the elderly and is usually confirmed at an advanced stage when the only treatment is surgery. This work is focused on the study of previously defined biomarkers through systems biology and artificial neuronal networks to understand their potential role within aortic stenosis. The goal was generating a molecular panel of biomarkers to ensure an accurate diagnosis, risk stratification, and follow-up of aortic stenosis patients. We used in silico studies to combine and re-analyze the results of our previous studies and, with information from multiple databases, established a mathematical model. After this, we prioritized two proteins related to endoplasmic reticulum stress, thrombospondin-1 and endoplasmin, which have not been previously validated as markers for aortic stenosis, and analyzed them in a cell model and in plasma from human subjects. Large-scale bioinformatics tools allow us to extract the most significant results after using high throughput analytical techniques. Our results could help to prevent the development of aortic stenosis and open the possibility of a future strategy based on more specific therapies.

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Pattern of unintentional burns: A hospital based study from Pakistan

Cited by 3 publications

References 21 publications

What Fuels the Fire: A Narrative Review of the Role Social Determinants of Health Play in Burn Injuries

What Fuels the Fire: A Narrative Review of the Role Social Determinants of Health Play in Burn Injuries

Changes in burn mortality in Bangladesh: Findings from Bangladesh Health and Injury Survey (BHIS) 2003 and 2016

Prioritization of Candidate Biomarkers for Degenerative Aortic Stenosis through a Systems Biology-Based In-Silico Approach

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