Evidence map›Paper›PMID 37092598›Full record

ArticleThe Australasian journal of dermatology2023

Patterns and cost of care according to keratinocyte cancer risk stratification in a volunteer population screening clinic: Real-world data from the TRoPICS study.

Ruby Chia-Lin Lee, Upekha Liyanage, Kirsty Fry, Susan Brown, Lena von Schuckmann, Lynda Spelman, H Peter Soyer, Rachel E Neale, Louisa G Gordon, David C Whiteman and 3 more

Open access · hybridAbstract read
In one paragraph

Article in The Australasian journal of dermatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Ruby Chia-Lin LeeFrazer Institute, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-5562-2171
Upekha LiyanageFrazer Institute, The University of Queensland, Brisbane, Queensland, Australia.
Kirsty FryFrazer Institute, The University of Queensland, Brisbane, Queensland, Australia.
Susan BrownFrazer Institute, The University of Queensland, Brisbane, Queensland, Australia.
Lena von SchuckmannQueensland Institute of Dermatology, Queensland Skin and Cancer Foundation, Brisbane, Queensland, Australia.
Lynda SpelmanQueensland Institute of Dermatology, Queensland Skin and Cancer Foundation, Brisbane, Queensland, Australia.
H Peter SoyerDermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-4770-561X
Rachel E NealeQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Louisa G GordonQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
David C WhitemanQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Catherine M OlsenQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0003-4483-1888
Monika JandaCentre of Health Services Research, The University of Queensland, Brisbane, Queensland, Australia.
Kiarash KhosrotehraniFrazer Institute, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-6406-4076
The University of Queensland · AUQIMR Berghofer Medical Research Institute · AUSkin and Cancer Foundation · AUQueensland Health · AU

Funding

National Health and Medical Research Council 1063061National Health and Medical Research Council 1073898National Health and Medical Research Council 1155413National Health and Medical Research Council 1185416National Health and Medical Research Council APP1137127Research Training Program Stipend ScholarshipUniversity of Queensland Research Training Program Tuition Fee Offset Scholarship
6 · The paper itself

Abstract

backgroundRisk prediction tools have been developed for keratinocyte cancers (KCs) to effectively categorize individuals with different levels of skin cancer burden. Few have been clinically validated nor routinely used in clinical settings.

objectivesTo assess whether risk prediction tool categories associate with interventions including chemoprophylaxis for skin cancer, and health-care costs in a dermatologist-run screening clinic.

methodsAdult participants who presented to a walk-in screening facility were invited to participate. A self-completed KC risk prediction tool was used to classify participants into one of the five risk categories. Participants subsequently underwent full skin examination by a dermatologist. Dermatological interventions and skin cancer-related medical prescriptions were documented. Total health-care costs, both to the health-care system and patients were evaluated.

resultsOf the 507 participants recruited, 5-fluorouracil cream and nicotinamide were more frequently prescribed in the higher risk groups as chemoprophylaxis (p < 0.005). A significant association with high predicted risk was also observed in the use of cryotherapy and curettage and cautery (p < 0.05). The average health-care costs associated with a skin check visit increased from $90 ± 37 (standard deviation) in the lowest risk group to $149 ± 97 in the highest risk group (p < 0.0001).

conclusionsWe observed a positive association between higher predicted risk of skin cancer and the prescription of chemoprophylaxis and health-care costs involved with opportunistic community skin cancer screening. A clinical use of risk stratification may be to provide an opportunity for clinicians to discuss skin cancer prevention and chemoprophylaxis with individual patients.

Indexed as

Early Detection of CancerSkin NeoplasmsAdultFluorouracilHumansKeratinocytesRisk AssessmentFluorouracilchemoprophylaxiskeratinocyte carcinomarisk stratification

Identifiers

PMID37092598
PMCPMC10952310
OpenAlexW4366819869

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.