Title |
Increasing Frequency of Seborrheic Keratosis Diagnoses as a Favorable Consequence of Teledermatology-Based Skin Cancer Screening: A Cross-sectional Study of 34,553 Patients
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Published in |
American Journal of Clinical Dermatology, April 2017
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DOI | 10.1007/s40257-017-0283-z |
Pubmed ID | |
Authors |
David Moreno-Ramírez, Jesús Raya-Maldonado, Macarena Morales-Conde, Teresa Ojeda-Vila, Francisco J. Martín-Gutiérrez, Andrés Ruíz-de-Casas, Almudena Fernández-Orland, Herrerías-Esteban JM, Lara Ferrándiz |
Abstract |
Screening of skin cancer by teledermatology (TD) has improved the early detection of skin cancer by enhancing access to skin cancer clinics. We sought to analyze how TD-based skin cancer screening has changed the frequency of consultations for benign lesions. A cross-sectional study including teleconsultations received during a 7-year period was conducted to analyze and compare the trendlines of each lesion type over the study period. Trendlines were analyzed using a linear regression model with the R-squared (R (2)) test for goodness of fit. A total of 34,553 teleconsultations were included in the study. Seborrheic keratoses, followed by benign melanocytic lesions, were the most frequent lesions diagnosed. The pick-up rate for malignant lesions was 1:8.6 teleconsultations. Seborrheic keratoses and precancerous lesions showed a positive trendline with good fit to the linear model (R (2) = 0.8 and R (2) = 0.8, respectively). Tis-T1 malignant melanoma (in situ melanoma or melanoma with a Breslow thickness <1 mm) showed an increasing trendline with moderate-to-low fit to the model (R (2) = 0.4). TD-based screening of skin cancer is associated with an increasing rate of consultations involving seborrheic keratoses, which can be considered a consequence of improved access to dermatologists resulting from TD implementation. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 15% |
Student > Ph. D. Student | 5 | 13% |
Student > Doctoral Student | 5 | 13% |
Student > Master | 5 | 13% |
Professor | 4 | 10% |
Other | 8 | 21% |
Unknown | 6 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 44% |
Nursing and Health Professions | 4 | 10% |
Engineering | 2 | 5% |
Computer Science | 1 | 3% |
Psychology | 1 | 3% |
Other | 4 | 10% |
Unknown | 10 | 26% |