A Review Study Toward Clinical and Histopathological Diagnosis Agreement in Skin Diseases.
| Autor: | Sopjani S; Medical Faculty, University of Prishtina & Department of Dermatovenerology, University Clinical Center of Kosovo, Prishtina, Kosovo., Akay BN; Department of Dermatology, Faculty of Medicine, Ankara University, Ankara, Turkey., Daka A; Medical Faculty, University of Prishtina & Department of Dermatovenerology, University Clinical Center of Kosovo, Prishtina, Kosovo. |
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| Jazyk: | angličtina |
| Zdroj: | Medical archives (Sarajevo, Bosnia and Herzegovina) [Med Arch] 2022 Dec; Vol. 76 (6), pp. 438-442. |
| DOI: | 10.5455/medarh.2022.76.438-442 |
| Abstrakt: | Background: It is important to evaluate the agreement between clinical diagnosis and histopathological diagnosis. The aim of this study was to review studies and to calculate the degree of agreement between clinical and histopathological diagnosis. Objective: The aim of this review was to find out the concordance level between clinical and histopathological diagnosis; to find out in which type of pathology concordance was the highest; to identify the types of pathologies for which biopsy was mostly performed and the anatomical region selected for biopsy. Results and Discussion: Review was carried out in accordance with the PRISMA 2020 flow diagram for the selection of articles that met the criteria (years 2005-2021). Articles were found in Google scholar, PubMed, Scopus databases using different keywords. The main criterion was to involve studies that reported data about clinical and histopathological diagnosis. A mean concordance value was calculated and resulted of 72.8 % (95% CI). Conclusion: To our knowledge, our study was the first review done regarding concordance between clinical and histopathological diagnosis in skin diseases with the aim to provide researchers with enriched literature and encourage them to bring about an appropriate systematic review study. Competing Interests: The authors declare no conflict of interests. (© 2022 Sidita Sopjani, Bengü Nisa Akay, Aferdita Daka.) |
| Databáze: | MEDLINE |
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