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For: Sechi A, di Altobrando A, Cerciello E, Maietti E, Patrizi A, Savoia F. Drug Intake and Actinic Keratosis: A Case-Control Study. Dermatol Pract Concept 2021;11:e2021031. [PMID: 33954014 DOI: 10.5826/dpc.1102a31] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/03/2021] [Indexed: 10/31/2022] Open

For:	Sechi A, di Altobrando A, Cerciello E, Maietti E, Patrizi A, Savoia F. Drug Intake and Actinic Keratosis: A Case-Control Study. Dermatol Pract Concept 2021;11:e2021031. [PMID: 33954014 DOI: 10.5826/dpc.1102a31] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/03/2021] [Indexed: 10/31/2022] Open

Number	Cited by Other Article(s)
1	Zha X, Li Y, Wang J, Xiao W, Liu J. Risk factors for actinic keratoses: A systematic review and meta-analysis. Indian J Dermatol 2022;67:92. [PMID: 35656236 PMCID: PMC9154173 DOI: 10.4103/ijd.ijd_859_21] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open Abstract Objective To integrate evidence and assess the risk factors associated with actinic keratosis (AK). Methods Unrestricted searches were conducted on five electronic databases, with an end-date parameter of September 2021. We summarized the study characteristics and pooled the results from individual studies by using a random-effects model. The risk of bias was estimated using the Cochrane Risk of Bias Tool, and the quality of evidence was estimated according to the Newcastle-Ottawa Scale. Results Sixteen studies were included in final analysis, and we assessed the AK risk among a variety of risk factors. Overall, the male sex (odds ratio (OR): 2.51; 95% confidence interval (CI): 1.94-3.25; P < 0.01), age >45 years (OR = 7.65, 95% CI: 2.95-19.86; P < 0.01), light Fitzpatrick skin phototype (OR = 2.32, 95% CI: 1.74-3.10; P < 0.01), light hair color (OR = 2.17, 95% CI: 1.40-3.36; P < 0.01), light eye color (OR = 1.67, 95% CI: 1.03-2.70; P = 0.04), freckles on face/arms (OR = 1.88, 95% CI: 1.37-2.58; P < 0.01), suffered positive history of other types of non-melanoma skin cancer (OR = 4.46, 95% CI: 2.71-7.33; P < 0.01), sunburns in childhood (OR = 2.33, 95% CI: 1.47-3.70; P < 0.01) and adulthood (OR = 1.50, 95% CI: 1.12-2.00; P < 0.01), severe sunburn (OR = 1.94, 95% CI: 1.62-2.31; P < 0.01), and chronic occupational and/or recreational sun exposure (OR = 3.22, 95% CI: 2.16-4.81; P < 0.01) increased the risk of AK. Moreover, sunscreen use (OR = 0.51, 95% CI: 0.34-0.77; P < 0.01) and history of atopy reduced the risk of AK. Sensitivity analysis yielded consistent results. The included studies showed a high risk of bias. Conclusion We confirm several well-known AK risk factors and their quantitative data, and summarized the uncommon risk factors and protective factors. Our results may inform on the design and implementation of AK screening and educational programs. Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse

Number

Cited by Other Article(s)

Zha X, Li Y, Wang J, Xiao W, Liu J. Risk factors for actinic keratoses: A systematic review and meta-analysis. Indian J Dermatol 2022;67:92. [PMID: 35656236 PMCID: PMC9154173 DOI: 10.4103/ijd.ijd_859_21] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open

Abstract

Objective

To integrate evidence and assess the risk factors associated with actinic keratosis (AK).

Methods

Unrestricted searches were conducted on five electronic databases, with an end-date parameter of September 2021. We summarized the study characteristics and pooled the results from individual studies by using a random-effects model. The risk of bias was estimated using the Cochrane Risk of Bias Tool, and the quality of evidence was estimated according to the Newcastle-Ottawa Scale.

Results

Sixteen studies were included in final analysis, and we assessed the AK risk among a variety of risk factors. Overall, the male sex (odds ratio (OR): 2.51; 95% confidence interval (CI): 1.94-3.25; P < 0.01), age >45 years (OR = 7.65, 95% CI: 2.95-19.86; P < 0.01), light Fitzpatrick skin phototype (OR = 2.32, 95% CI: 1.74-3.10; P < 0.01), light hair color (OR = 2.17, 95% CI: 1.40-3.36; P < 0.01), light eye color (OR = 1.67, 95% CI: 1.03-2.70; P = 0.04), freckles on face/arms (OR = 1.88, 95% CI: 1.37-2.58; P < 0.01), suffered positive history of other types of non-melanoma skin cancer (OR = 4.46, 95% CI: 2.71-7.33; P < 0.01), sunburns in childhood (OR = 2.33, 95% CI: 1.47-3.70; P < 0.01) and adulthood (OR = 1.50, 95% CI: 1.12-2.00; P < 0.01), severe sunburn (OR = 1.94, 95% CI: 1.62-2.31; P < 0.01), and chronic occupational and/or recreational sun exposure (OR = 3.22, 95% CI: 2.16-4.81; P < 0.01) increased the risk of AK. Moreover, sunscreen use (OR = 0.51, 95% CI: 0.34-0.77; P < 0.01) and history of atopy reduced the risk of AK. Sensitivity analysis yielded consistent results. The included studies showed a high risk of bias.

Conclusion

We confirm several well-known AK risk factors and their quantitative data, and summarized the uncommon risk factors and protective factors. Our results may inform on the design and implementation of AK screening and educational programs.

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