Pigmented fungiform papillae of the tongue.

INTRODUCTION: Pigmented fungiform papillae of the tongue is a benign condition frequent in dark skin patients. It usually appears in the second or third decade of life, and it has been reported as autosomal dominant inheritance pattern. The diagnosis is clinical, but dermoscopy could be helpful: a classical rose petal pattern is observed. The pathogenesis is unknown, and no treatments are effective. CASE REPORT: We report a case of a 15-year-old girl with a pigmented fungiform papillae and a compatible dermatoscopy pattern. CONCLUSIONS: Knowing the existence of this entity and its characteristic dermoscopy, avoids additional invasive medical test. We have to know this entity because it is a variant of normality.

INTRODUCCIÓN: La pigmentación de las papilas fungiformes linguales es una condición benigna y relativamente frecuente en pacientes con piel oscura. Suele aparecer en la segunda o tercera décadas de la vida y se han descrito casos de herencia autosómica dominante. El diagnóstico es clínico, pero la dermatoscopia es de gran ayuda: presenta un patrón clásico en pétalos de rosa. La patogénesis se desconoce y no hay tratamientos efectivos. CASO CLÍNICO: Reportamos el caso de una niña de 15 años con pigmentación de las papilas fungiformes y con patrón dermatoscópico compatible. CONCLUSIONES: Conocer la existencia de esta afección y su característica dermatoscopia evita realizar pruebas invasivas adicionales, ya que se trata una variante de la normalidad.

Development of a Prediction Model for Patients at Risk of Incidental Skin Cancer: A Multicentre Prospective Study.

In the absence of guidelines recommending routine total-body skin examination, patient concern remains the main factor in seeking consultation regarding suspicion of skin cancer. This study explores gaps in patients' understanding of malignant skin lesions, through the factors associated with incidental skin cancer. Included patients had a confirmed histological diagnosis of basal cell carci-noma, squamous cell carcinoma or melanoma. Tumour characteristics, patient demographics and other risk factors related to the development of skin cancer were obtained from each participant. The main measure was incidental skin cancer detection, using both binary logistic regression and Chi-squared Automatic Interaction Detection (CHAID) algorithm. Of the total tumours, 26.6% were detected incidentally. The following variables: male sex, living alone, long-axis diameter, tumour location, symptoms and time of disease evolution were independent predictors of incidental skin cancer. According to the CHAID algorithm, the most significant risk factor for incidental skin cancer was the absence of symptoms at diagnosis.

Factors associated with high Altmetric Attention Score in dermatology research.

BACKGROUND: Alternative metrics are emerging scores to assess the impact of research beyond the academic environment. OBJECTIVE: To analyse whether a correlation exists between manuscript characteristics and alternative citation metrics. MATERIALS AND METHODS: This bibliometric analysis included original articles published in the five journals with the highest impact factors during 2019. We extracted the following characteristics from each record: journal, publication month, title, number of authors, type of institution, type of publication, research topic, number of references, financial support, free/open access status and literature citations. The main measure was the identification of variables of higher social attention (measured by the Altmetric Attention Score ≥25) using binary logistic regression. Model performance was assessed by the change in the area under the curve (AUC). RESULTS: A total of 840 manuscripts were included. The Altmetric scores across all five journals ranged from 0 to 465 (mean 12.51 ± 33.7; median 3). The most prevalent topic was skin cancer, and the study design was clinical science. The scientific journal (P < 0.001), the presence of conflicts of interest (OR 2.2 [95%CI 1.3-3.7]; P = 0.002) and open access status OR 3.2 [95%CI 1.6-6.7]; P = 0.002) were found as independent predictors of high Altmetric scores. CONCLUSIONS: Our study suggests an article´s social recognition may be dependent on some manuscript characteristics, thus providing useful information on the dissemination of dermatology research to the general public.

"Fake news" in dermatology. Results from an observational, cross-sectional study.

BACKGROUND: Social networks have become a means for disseminating information on health-related matters. OBJECTIVE: Describe the characteristics and analyze the accuracy of the dermatology content that is most often shared on the most popular social networks. MATERIALS AND METHODS: The content most often shared on social networks (Facebook, Pinterest, Twitter, and Reddit) between March 2019 and March 2020 was analyzed using the keywords: acne, alopecia/hair loss, psoriasis, eczema, melanoma, skin cancer, rash, and rosacea. The total number of interactions, skin disease, topic, and origin was collected from each of the records. The content was analyzed and was categorized as precise, confusing, or imprecise based on the scientific evidence available. RESULTS: A total of 385 websites were included. About 44.7% of the shared content was rated as imprecise, 20% as confusing, and 35.3% as precise. The records classified as imprecise obtained a higher mean number of interactions (P < 0.05). No differences were found in terms of the level of certainty and the dermatosis studied, whereas they did exist in relation to their topic and origin (P < 0.001). Of the contents classified as imprecise, the most frequent topic and origin were "alternative medicines" and "individual opinions, articles not affiliated with health institutions, nor peer reviewed," respectively. CONCLUSIONS: The majority of the contents often shared on social networks are below acceptable quality standards. Strategies are needed to discredit imprecise information and promote the dissemination of evidence-based dermatology information.