SynthesisInternational journal of environmental research and public health2020
Risk Prediction Models for Melanoma: A Systematic Review on the Heterogeneity in Model Development and Validation.
Synthesis in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
17 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- The Impact of Dietary Intake of Furocoumarins and Furocoumarin-Rich Foods on the Risk of Cutaneous Melanoma: A Systematic Review.Nutrients · 2025Pooled it
- Pooled it
- Independent evaluation of melanoma polygenic risk scores in UK and Australian prospective cohorts.The British journal of dermatology · 2022Pooled it
- The Value of Total Body Photography for the Early Detection of Melanoma: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Review
- Mitochondrial proteome landscape unveils key insights into melanoma severity and treatment strategies.Cancer · 2025Article
- Article
- Targeted Screening for Cancer: Learnings and Applicability to Melanoma: A Scoping Review.Journal of personalized medicine · 2024Article
- The Level of Agreement between Self-Assessments and Examiner Assessments of Melanocytic Nevus Counts: Findings from an Evaluation of 4548 Double Assessments.Current oncology (Toronto, Ont.) · 2024Article
- Artificial intelligence and skin cancer.Frontiers in medicine · 2024Review
- Development of an in chemico high-throughput screening method for the identification of skin sensitization potential.Archives of toxicology · 2023Article
- Inter-Rater Agreement in Assessing Risk of Bias in Melanoma Prediction Studies Using the Prediction Model Risk of Bias Assessment Tool (PROBAST): Results from a Controlled Experiment on the Effect of Specific Rater Training.Journal of clinical medicine · 2023Article
- An Updated Algorithm Integrated With Patient Data for the Differentiation of Atypical Nevi From Early Melanomas: the idScore 2021.Dermatology practical & conceptual · 2022Article
- Using the Prediction Model Risk of Bias Assessment Tool (PROBAST) to Evaluate Melanoma Prediction Studies.Cancers · 2022Article
- Assessment of the Predictive Value of Spectrophotometric Skin Color Parameters and Environmental and Behavioral Factors in Estimating the Risk of Skin Cancer: A Case-Control Study.Journal of clinical medicine · 2022Article
- Reporting Quality of Studies Developing and Validating Melanoma Prediction Models: An Assessment Based on the TRIPOD Statement.Healthcare (Basel, Switzerland) · 2022Article
- Patient similarity analytics for explainable clinical risk prediction.BMC medical informatics and decision making · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rising incidence of cutaneous melanoma over the past few decades has prompted substantial efforts to develop risk prediction models identifying people at high risk of developing melanoma to facilitate targeted screening programs. We review these models, regarding study characteristics, differences in risk factor selection and assessment, evaluation, and validation methods. Our systematic literature search revealed 40 studies comprising 46 different risk prediction models eligible for the review. Altogether, 35 different risk factors were part of the models with nevi being the most common one (
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Registered trials
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.