Comparison of hematological inflammatory markers and comorbid conditions in patients with psoriasis vulgaris and lichen planus

NLR and PLR may be useful markers in distinguishing PV. NLR, with a higher AUC and specificity compared to PLR, may be considered a stronger marker. Furthermore, due to its high sensitivity for PsA, NLR could be more suitable for screening purposes rather than diagnosis.

Authors

Institutions

Publication Details

Journal
Cutaneous and Ocular Toxicology
Published
2025-06-13
DOI
https://doi.org/10.1080/15569527.2025.2519028
Primary Topic
Psoriasis: Treatment and Pathogenesis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of hematological inflammatory markers and comorbid conditions in patients with psoriasis vulgaris and lichen planus

Hamza Aktaş, Mehmet Semih Çelik
Cutaneous and Ocular Toxicology
Psoriasis: Treatment and Pathogenesis
article

Comparison of hematological inflammatory markers and comorbid conditions in patients with psoriasis vulgaris and lichen planus

Hamza Aktaş, Mehmet Semih Çelik
article en

Abstract

NLR and PLR may be useful markers in distinguishing PV. NLR, with a higher AUC and specificity compared to PLR, may be considered a stronger marker. Furthermore, due to its high sensitivity for PsA, NLR could be more suitable for screening purposes rather than diagnosis.

Cutaneous and Ocular ToxicologyVol. 44(3)
University of Health Science (KH), Diyarbakır Gazi Yaşargil Eğitim ve Araştırma Hastanesi (TR)
Openalex Percentile: Top 85%
Psoriasis: Treatment and Pathogenesis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.