Risk of cutaneous squamous cell carcinoma due to occupational exposure to solar ultraviolet radiation: Protocol for a systematic review and meta-analysis

Paulo, Marília Silva; Symanzik, Cara; Ádám, Balázs; Gobba, Fabriziomaria; Kežić, Sanja; Molen, Henk F. van der; Peters, Cheryl; Rocholl, Marc; Tenkate, Thomas; John, Swen Malte; Loney, Tom; Modenese, Alberto; Wittlich, Marc

doi:10.1371/journal.pone.0282664

Cited by 4 publications

(4 citation statements)

References 33 publications

(32 reference statements)

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“…Except for short-term temperatures, the other weather variables are not significant in our regression models. Previous research supports that exposure to sunshine is a significant risk factor for skin diseases [ 59 ]. It indicates that sunshine has a greater effect on middle-aged and elderly populations than other populations and has the greatest effect on outpatient services in the fall season.…”

Section: Discussionmentioning

confidence: 94%

Effects of weather and air pollution on outpatient visits for insect-and-mite-caused dermatitis: an empirical and predictive analysis

Xiong,

Li,

Zhang

et al. 2024

BMC Public Health

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Background Dermatitis caused by insects and mites, diagnosed as papular urticaria or scabies, is a common skin disease. However, there is still a lack of studies about the effects of weather and air pollution on outpatient visits for this disease. This study aims to explore the impacts of meteorological and environmental factors on daily visits of dermatitis outpatients. Methods Analyses are conducted on a total of 43,101 outpatient visiting records during the years 2015–2020 from the largest dermatology specialist hospital in Guangzhou, China. Hierarchical cluster models based on Pearson correlation between risk factors are utilized to select regression variables. Linear regression models are fitted to identify the statistically significant associations between the risk factors and daily visits, taking into account the short-term effects of temperatures. Permutation importance is adopted to evaluate the predictive ability of these factors. Results Short-term temperatures have positive associations with daily visits and exhibit strong predictive abilities. In terms of total outpatients, the one-day lagged temperature not only has a significant impact on daily visits, but also has the highest median value of permutation importance. This conclusion is robust across most subgroups except for subgroups of summer and scabies, wherein the three-day lagged temperature has a negative effect. By contrast, air pollution has insignificant associations with daily visits and exhibits weak predictive abilities. Moreover, weekdays, holidays and trends have significant impacts on daily visits, but with weak predictive abilities. Conclusions Our study suggests that short-term temperatures have positive associations with daily visits and exhibit strong predictive abilities. Nevertheless, air pollution has insignificant associations with daily visits and exhibits weak predictive abilities. The results of this study provide a reference for local authorities to formulate intervention measures and establish an environment-based disease early warning system.

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Section: Discussionmentioning

confidence: 94%

Effects of weather and air pollution on outpatient visits for insect-and-mite-caused dermatitis: an empirical and predictive analysis

Xiong,

Li,

Zhang

et al. 2024

BMC Public Health

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“…6,7 The International Agency for Research on Cancer (IARC) further established that cutaneous malignant melanoma, along with the NMSCs including SCC and BCC, is often caused by cumulative UVR exposure. 8,9 International Journal of Dermatology 2024, 63, 288-297 ª 2023 The Authors. International Journal of Dermatology published by Wiley Periodicals LLC on behalf of the International Society of Dermatology.…”

Section: Introductionmentioning

confidence: 99%

“…An additional contributor to cutaneous malignancy later in life is the number and severity of sunburns in an individual's lifetime 6,7 . The International Agency for Research on Cancer (IARC) further established that cutaneous malignant melanoma, along with the NMSCs including SCC and BCC, is often caused by cumulative UVR exposure 8,9 . While an individual's behavior toward sun exposure and knowledge surrounding sun safety measures allow for risk factor modification, certain aspects such as genetics, demographics, and geographic location can also influence skin cancer development and affect predictive accuracy 10–12 …”

Section: Introductionmentioning

confidence: 99%

Solar ultraviolet radiation exposure in workers with outdoor occupations: a systematic review and call to action

Slavinsky,

Helmy,

Vroman

et al. 2023

Int J Dermatology

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Chronic solar ultraviolet radiation (sUVR) exposure leads to an increased incidence of non‐melanoma skin cancer (NMSC) development, particularly when accumulated over decades. Workers in certain industries, such as construction, agriculture, postal workers, and the military, are at higher risk due to cumulative sUVR exposure in their line of work. By assessing the relationship between sUVR exposure in outdoor workers and their skin cancer risk and defining methods of prevention, clinicians can offer focused sun protection counseling to this unique population. PubMed was used to perform a literature review to address the following research questions: 1. How is ultraviolet radiation measured? 2. What is the modern utility of the ultraviolet index in modifying sun protection behaviors in outdoor industry workers? 3. What is the risk of non‐melanoma skin cancer development in individuals working in outdoor occupations? 4. What is the prevalence of skin cancer among outdoor workers? 5. Is the number of nevi and solar lentigines elevated among individuals employed in outdoor occupations? The literature suggests that individuals in outdoor occupations are exposed to UV levels that often surpass safety limits for occupational UVR exposure, increasing their risk of developing skin cancer and precursor and pigmented lesions. Individuals in high‐risk occupations experience significantly higher levels of sUVR exposure than their indoor worker counterparts, increasing their risk of malignant cutaneous transformation. Accordingly, these individuals must be counseled on effective solar protection methods, and employers should advocate for actionable change.

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“…Melanoma is the most lethal form of skin cancer, while NMSC encompasses basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and other variants ( 8 ). Several risk factors can elevate the likelihood of developing skin cancer, including exposure to ultraviolet radiation ( 9 – 11 ), a family history of the disease ( 12 ), and immunosuppression ( 13 – 15 ). Skin cancer originates from the abnormal proliferation of skin cells.…”

Section: Introductionmentioning

confidence: 99%

Mapping the landscape of artificial intelligence in skin cancer research: a bibliometric analysis

Liu,

Zhang,

Bai

2023

Front. Oncol.

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ObjectiveArtificial intelligence (AI), with its potential to diagnose skin cancer, has the potential to revolutionize future medical and dermatological practices. However, the current knowledge regarding the utilization of AI in skin cancer diagnosis remains somewhat limited, necessitating further research. This study employs visual bibliometric analysis to consolidate and present insights into the evolution and deployment of AI in the context of skin cancer. Through this analysis, we aim to shed light on the research developments, focal areas of interest, and emerging trends within AI and its application to skin cancer diagnosis.MethodsOn July 14, 2023, articles and reviews about the application of AI in skin cancer, spanning the years from 1900 to 2023, were selected from the Web of Science Core Collection. Co-authorship, co-citation, and co-occurrence analyses of countries, institutions, authors, references, and keywords within this field were conducted using a combination of tools, including CiteSpace V (version 6.2. R3), VOSviewer (version 1.6.18), SCImago, Microsoft Excel 2019, and R 4.2.3.ResultsA total of 512 papers matching the search terms and inclusion/exclusion criteria were published between 1991 and 2023. The United States leads in publications with 149, followed by India with 61. Germany holds eight positions among the top 10 institutions, while the United States has two. The most prevalent journals cited were Cancer, the European Journal of Cancer, and Sensors. The most frequently cited keywords include “skin cancer”, “classification”, “artificial intelligence”, and “deep learning”.ConclusionsResearch into the application of AI in skin cancer is rapidly expanding, and an increasing number of scholars are dedicating their efforts to this field. With the advancement of AI technology, new opportunities have arisen to enhance the accuracy of skin imaging diagnosis, treatment based on big data, and prognosis prediction. However, at present, the majority of AI research in the field of skin cancer diagnosis is still in the feasibility study stage. It has not yet made significant progress toward practical implementation in clinical settings. To make substantial strides in this field, there is a need to enhance collaboration between countries and institutions. Despite the potential benefits of AI in skin cancer research, numerous challenges remain to be addressed, including developing robust algorithms, resolving data quality issues, and enhancing results interpretability. Consequently, sustained efforts are essential to surmount these obstacles and facilitate the practical application of AI in skin cancer research.

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Risk of cutaneous squamous cell carcinoma due to occupational exposure to solar ultraviolet radiation: Protocol for a systematic review and meta-analysis

Cited by 4 publications

References 33 publications

Effects of weather and air pollution on outpatient visits for insect-and-mite-caused dermatitis: an empirical and predictive analysis

Effects of weather and air pollution on outpatient visits for insect-and-mite-caused dermatitis: an empirical and predictive analysis

Solar ultraviolet radiation exposure in workers with outdoor occupations: a systematic review and call to action

Mapping the landscape of artificial intelligence in skin cancer research: a bibliometric analysis

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