Dataset Information

Management patterns for skin aging among Saudi dermatologists: A questionnaire-based study.

ABSTRACT:

Background

Skin aging is a complicated process affected by intrinsic, chronological, and extrinsic, environmental, determinants, and it is affected, to a large extent, by exposure to ultraviolet radiation (UVR). The present study aims to assess the antiaging treatment strategies in a real-world setting in Saudi Arabia.

Materials and methods

We conducted an online cross-sectional survey that was conducted from May 2020 to October 2020, involving all eligible dermatologists working at different academic, governmental, and private sectors in Saudi Arabia.

Results

A total of 200 dermatologists were included in this study, of them, 33% were aged between 24-35 years. 28.5%, 25.5%, 24.5%, and 21.5% of the participants had 7-10, 4-6, >10, and 0-3 years of practice, respectively. Generally, 80 (40%) of the dermatologists reported that 10-20% of their patients consulting for antiaging, while 50 (25%) reported that 41-60% of their patients consulted for antiaging treatment. Cream products were preferred by 105 (52.5%) of the users. In general, 158 (79%) prescribe growth factors Post-procedures, while 29 (14.5), 24 (12%), and 22 (11%) prescribe them for under-eye dark circles, acne scars, and aging skin, respectively. 124 (62%) prefer to use it in combination with retinoids.

Conclusion

The results of this survey indicate the fact that female patients and the age group 31-40 years old are more likely to seek skincare and antiaging therapy. Most dermatologists prescribed growth factors together with retinoids and only a small proportion of them used growth factors are antiaging modalities.

SUBMITTER: Almohideb M

PROVIDER: S-EPMC8884301 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Publications

Management patterns for skin aging among Saudi dermatologists: A questionnaire-based study.

Almohideb Mohammad M

Journal of family medicine and primary care 20211227 12

<h4>Background</h4>Skin aging is a complicated process affected by intrinsic, chronological, and extrinsic, environmental, determinants, and it is affected, to a large extent, by exposure to ultraviolet radiation (UVR). The present study aims to assess the antiaging treatment strategies in a real-world setting in Saudi Arabia.<h4>Materials and methods</h4>We conducted an online cross-sectional survey that was conducted from May 2020 to October 2020, involving all eligible dermatologists working ...[more]

PMID: 35280640

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Project description:ImportanceThe incidence of skin cancer is increasing and evaluation of the utility of total body skin examination (TBSE) in detecting incidental skin cancers is warranted.ObjectivesTo evaluate the proportion and rate of incidental skin cancer detection in urgent skin cancer clinics and investigate the rate of incidental skin cancer detection in 2 groups based on the degree of clinical suspicion of the index lesion for malignancy.Design, setting, and participantsA multicenter retrospective cohort study with a case note review of consecutive secondary care consultations was conducted using data from 2 urgent suspected skin cancer screening clinics in UK National Health Service trusts. The study was performed from January 1, 2015, to March 31, 2016, and data analysis was performed from October 14, 2018, to February 1, 2019. Patients included those presenting with a skin lesion suspicious of malignancy who were referred to the urgent suspected skin cancer clinic (N = 5944) over 15 months. Patients who accepted and received a TBSE were subsequently included in the analysis.Main outcomes and measuresThe proportion and rate of incidental skin cancer detection through TBSE and whether a clinically suspicious (malignant) index lesion was associated with a higher chance of having a malignant incidental lesion.ResultsOf the 5944 patients referred to the clinic, 4726 individuals (79.5%) were evaluated. In the cohort included in the analyses, the median age was 57 years (interquartile range, 39-73 years); 2567 patients (54.3%) were women. A total of 1117 skin cancers were identified; of these, 242 lesions (21.7%) were detected incidentally through TBSE, including 197 of 570 (34.6%) basal cell carcinomas, 16 of 250 (6.4%) squamous cell carcinomas, and 25 of 215 (11.6%) melanomas. The detection rate of incidental malignant lesions was 5.1 lesions per 100 patients examined (5.1%; 95% CI, 4.5%-5.8%). There was a higher detection rate of histologically confirmed incidental malignant lesions in individuals with clinically suspicious index lesions requiring biopsy (10.9%; 95% CI, 9.5%-12.5%) compared with those presenting with clinically benign index lesions (2.0%; 95% CI, 1.6%-2.5%) (P < .001).Conclusions and relevanceThe findings of this study support the use of TBSE for urgent skin cancer referrals, highlighting the potential harms of solitary lesion assessment in a subgroup. Individuals presenting with a clinically suspicious index lesion requiring biopsy are most likely to benefit from TBSE and should be counseled regarding the benefit.

Project description:BackgroundArtificial intelligence (AI) has become a powerful tool and is attracting more attention in the field of medicine. There are a number of AI studies focusing on skin diseases, and there are many AI products that have been applied in dermatology. However, the attitudes of dermatologists, specifically those from China, towards AI, is not clear as few, if any studies have focused on this issue.MethodsA web-based questionnaire was designed by experts from the Chinese Skin Image Database (CSID) and published on the UMER Doctor platform (an online learning platform for dermatologists developed by the Shanghai Wheat Color Intelligent Technology Company, China). A total of 1,228 Chinese dermatologists were recruited and provided answers to the questionnaire online. The differences of dermatologists' attitudes towards AI among the different groups (stratified by age, gender, hospital level, education degree, professional title, and hospital ownership) were compared by using the Mann-Whitney U test and the Kruskal-Wallis H test. The correlations between stratified factors and dermatologists' attitudes towards AI were calculated by using the Spearman's rank correlation test. SPSS (version 22.0) was utilized for all analyses. A two-sided P value <0.05 was considered statistically significant in all analyses.ResultsA total of 1,228 Chinese dermatologists from 30 provinces, autonomous regions, municipalities, and other regions (including Hong Kong, Macau, and Taiwan) participated in this survey. The dermatologists who participated acquired AI-related information mainly through the Internet, meetings or forums, and 70.51% of participated dermatologists acquired AI-related information by two or more approaches. In total, 99.51% of participated dermatologists pay attention (general, passive-active, and active attention) to information pertaining to AI. Stratified analyses revealed statistically significant differences in their attention levels (unconcerned, general, passive-active, and active attention) to AI-related information by gender, hospital level, education degree, and professional title (P values ≤1.79E-02). In total, 95.36% of the participated dermatologists thought the role of AI to be in "assisting the daily diagnosis and treatment activities for dermatologists". Stratified analyses about the thought of AI roles (unconcerned, useless, assist, and replace) showed that there was no statistically significant difference except for the hospital level (P value =4.09E-03). The correlations between stratified factors with attention levels and the opinions of AI roles showed extremely weak correlations. Furthermore, 64.17% of participated dermatologists thought secondary hospitals in China are in most need of the application AI, and 91.78% of participated dermatologists thought the priority implementation of AI should be in skin tumors.ConclusionsThe majority of Chinese dermatologists are interested in AI information and acquired information about AI through a variety of approaches. Nearly all dermatologists are attentive to information on AI and think the role of AI is in "assisting the daily diagnosis and treatment activities for dermatologists". Future AI implementation should be primarily focused on skin tumors and utilized in in secondary hospitals.

Dataset Information

Management patterns for skin aging among Saudi dermatologists: A questionnaire-based study.

Background

Materials and methods

Results

Conclusion

Publications

Management patterns for skin aging among Saudi dermatologists: A questionnaire-based study.

Similar Datasets

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