The Utility of the <scp>SUNTRAC</scp> Tool in Predicting Skin Cancers in Renal Transplant Patients

This study evaluates the SUNTRAC tool in guiding initial skin cancer risk stratification among renal transplant patients in New Zealand. Higher retrospectively applied SUNTRAC grades in 219 patients were associated with higher incidence of skin cancer, supporting the tool's effectiveness in guiding initial skin cancer risk stratification in this population.

Authors

Institutions

Publication Details

Journal
Australasian Journal of Dermatology
Published
2025-06-30
DOI
https://doi.org/10.1111/ajd.14558
Citations
2
Primary Topic
Nonmelanoma Skin Cancer Studies
Type
article
Field-Weighted Citation Impact
2.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Utility of the SUNTRAC Tool in Predicting Skin Cancers in Renal Transplant Patients

Seung Won Seol, Amanda MM Oakley, Samuel Reddish
2 citations
Australasian Journal of Dermatology
Nonmelanoma Skin Cancer Studies
2.71
article

The Utility of the SUNTRAC Tool in Predicting Skin Cancers in Renal Transplant Patients

Seung Won Seol, Amanda MM Oakley, Samuel Reddish
article en
2 citations

Abstract

This study evaluates the SUNTRAC tool in guiding initial skin cancer risk stratification among renal transplant patients in New Zealand. Higher retrospectively applied SUNTRAC grades in 219 patients were associated with higher incidence of skin cancer, supporting the tool's effectiveness in guiding initial skin cancer risk stratification in this population.

Australasian Journal of DermatologyVol. 66(5)
University of Auckland (NZ), Waikato District Health Board (NZ)
University of Auckland
Good health and well-being
Openalex Percentile: Top 10%
Nonmelanoma Skin Cancer Studies
2.71
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.