Challenges in diagnosing occupational allergic contact dermatitis: a case report

Thorough occupational history-taking and patch testing are essential for diagnosing ACD. Personalized health education and regular follow-ups, is crucial in monitoring lesion resolution and evaluating the effectiveness of preventive measures in workplace settings.

Authors

Institutions

Publication Details

Journal
Annals of Occupational and Environmental Medicine
Published
2025-04-17
DOI
https://doi.org/10.35371/aoem.2025.37.e7
Primary Topic
Contact Dermatitis and Allergies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Challenges in diagnosing occupational allergic contact dermatitis: a case report

Yin Cheng Lim, Jun Fai Yap, Muhammad Fadhli Mohd Yusoff, Kim Sui Wan et al.
Annals of Occupational and Environmental Medicine
Contact Dermatitis and Allergies
article

Challenges in diagnosing occupational allergic contact dermatitis: a case report

Yin Cheng Lim, Jun Fai Yap, Muhammad Fadhli Mohd Yusoff, Kim Sui Wan, Rama Krishna Supramaniam
article en

Abstract

Thorough occupational history-taking and patch testing are essential for diagnosing ACD. Personalized health education and regular follow-ups, is crucial in monitoring lesion resolution and evaluating the effectiveness of preventive measures in workplace settings.

Annals of Occupational and Environmental MedicineVol. 37
Ministry of Health (MY), University Malaya Medical Centre (MY), University of Malaya (MY)
Openalex Percentile: Top 85%
Contact Dermatitis and Allergies
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.