Evidence map›Paper›PMID 36534561›Full record

ArticleDermatology practical & conceptual2022

Dermatopathological Correlation of Clinically Challenging Cutaneous Lesions: a Single Center Experience of 2184 Cases.

Yunus Ozcan, Emin Ozlu, Ebru Karagun, Belkiz Uyar, Mehmet Gamsizkan

Abstract read
In one paragraph

Article in Dermatology practical & conceptual, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yunus OzcanDepartment of Dermatology, Duzce Ataturk State Hospital, Duzce, Turkey.
Emin OzluDepartment of Dermatology, Faculty of Medicine, Duzce University, Duzce, Turkey.
Ebru KaragunDepartment of Dermatology, Faculty of Medicine, Istinye University, Istanbul, Turkey.
Belkiz UyarDepartment of Dermatology, Faculty of Medicine, Duzce University, Duzce, Turkey.
Mehmet GamsizkanDepartment of Pathology, Faculty of Medicine, Duzce University, Duzce, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although a trained eye can easily identify typical skin lesions, histopathological examination and clinicopathological correlation are critical in challenging cases. Objectives: The primary objective is to organize the final diagnoses reached following clinicopathological consensus in clinically challenging cutaneous lesions, identifying the most common diagnostic scenarios encountered by dermatopathologists and discussing their diverse differentials submitted by clinicians. The secondary objective is to investigate how the case profile and clinician decision-making processes evolved during the COVID-19 pandemic. Methods: Skin and mucosa samples collected by the dermatology department between 2016 and 2020 were classified based on pathology reports. For frequent diagnoses, preliminary diagnoses stated by clinicians on pathology requisition forms were reviewed. The years preceding and following the first nationally reported COVID-19 case were compared to investigate the pandemic's impact on the distribution of dermatology and dermatopathology cases. Results: One thousand nine hundred and eighty-nine reports were classified into 4 major categories: inflammatory (49.8%), neoplastic (30.1%), other diseases (7.1%), and non-diagnostic (12.8%). We further classified inflammatory diseases based on major tissue reaction patterns and neoplasms based on cell origin. We analyzed the leading diagnoses in each category, discussed their differential diagnoses, and provided clinicians with clues to reduce errors in practice. Following the pandemic, the overall number of pathology reports and patient admissions dropped dramatically, with significant changes in case profiles. Conclusions: We presented and discussed the frequently encountered confounding cases to sketch the diagnostic landscape. In the authors' experience, clinicopathological correlation can increase the rate of reaching the diagnosis by up to 75.3%.

Indexed as

clinicopathological correlationCOVID-19dermatologydermatopathology

Identifiers

PMID36534561
PMCPMC9682974

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