Evidence map›Paper›PMID 31712348›Full record

ArticleBMJ open2019

Evaluation of the efficacy of 3D total-body photography with sequential digital dermoscopy in a high-risk melanoma cohort: protocol for a randomised controlled trial.

Clare Amy Primiero, Aideen M McInerney-Leo, Brigid Betz-Stablein, David C Whiteman, Louisa Gordon, Liam Caffery, Joanne F Aitken, Elizabeth Eakin, Sonya Osborne, Len Gray and 4 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Value of Total Body Photography for the Early Detection of Melanoma: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  2. Article
  3. DermIDS: Dermatology imaging data structure for scalable and interoperable AI systems.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Development and Validation of a Total Body Photo-Numeric Freckling Density Scale.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  13. Article
  14. Overdiagnosis in Melanoma Screening: Is It a Real Problem?Dermatology practical & conceptual · 2023
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

14 authors.

Clare Amy PrimieroThe University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-2944-0013
Aideen M McInerney-LeoThe University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.
Brigid Betz-StableinThe University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.
David C WhitemanCancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Louisa GordonPopulation Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Liam CafferyThe University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.
Joanne F AitkenSchool of Public Health, The University of Queensland, Brisbane, Queensland, Australia.
Elizabeth EakinFaculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
Sonya OsborneSchool of Nursing and Midwifery, University of Southern Queensland, Toowoomba, Queensland, Australia.
Len GrayCentre for Online Health, Centre for Health Services Research, The University of Queensland, Woolloongabba, Queensland, Australia.
B Mark SmithersFaculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
Monika JandaThe University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.
H Peter SoyerThe University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia p.soyer@uq.edu.au.
Anna FinnaneSchool of Public Health, The University of Queensland, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMelanoma is Australia's fourth most common cancer. Early detection is fundamental in maximising health outcomes and minimising treatment costs. To date, population-based screening programmes have not been justified in health economic studies. However, a skin surveillance approach targeting high-risk individuals could improve the cost-benefit ratio. METHODS AND ANALYSIS: This paper describes a 2-year longitudinal randomised controlled trial (RCT) to compare routine clinical care (control) with an intensive skin surveillance programme (intervention) consisting of novel three-dimensional (3D) total-body photography (TBP), sequential digital dermoscopy and melanoma-risk stratification, in a high-risk melanoma cohort. Primary outcomes will evaluate clinical, economic and consumer impact of the intervention. Clinical outcomes will evaluate differences in the rate of lesion excisions/biopsies per person, benign to malignant ratio for excisions and thickness of melanomas diagnosed. A health economic analysis using government data repositories will capture healthcare utilisation and costs relating to skin surveillance. Consumer questionnaires will examine intervention acceptability, the psychological impact, and attitudes towards melanoma risk and sun protective behaviour. Secondary outcomes include the development of a holistic risk algorithm incorporating clinical, phenotypic and genetic factors to facilitate the identification of those most likely to benefit from this surveillance approach. Furthermore, the feasibility of integrating the intervention with teledermatology to enhance specialist care in remote locations will be evaluated. This will be the first RCT to compare a targeted surveillance programme utilising new 3D TBP technology against current routine clinical care for individuals at high risk of melanoma. ETHICS AND DISSEMINATION: This study has received Human Research Ethics Committee (HREC) approval from both Metro South Health HREC (HREC/17/QPAH/816) and The University of Queensland HREC (2018000074). TRIAL REGISTRATION NUMBER: ANZCTR12618000267257; Pre-results.

Indexed as

DermoscopyImaging, Three-DimensionalPhotographyAustraliaCost-Benefit AnalysisHumansMelanomaPublic Health SurveillanceRandomized Controlled Trials as TopicSkin NeoplasmsSurveys and Questionnairesearly detectionmelanomaRCTtotal-body photography

Identifiers

PMID31712348
PMCPMC6858160

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.