Observational studyNature communications2021
Disease risk scores for skin cancers.
Observational study in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.
- The Role of Health Literacy in Skin Cancer Preventative Behavior and Implications for Intervention: A Systematic Review.Journal of prevention (2022) · 2024Pooled it
- Improving Melanoma Risk Stratification of Skin Color Type by Polygenic Scores of Skin Color and Melanoma.International journal of dermatology · 2026Article
- Environmental greenery and skin cancer risk: a prospective cohort study on incidence and mediating mechanisms.Archives of public health = Archives belges de sante publique · 2025Article
- Basal cell carcinoma risk prediction in survivors of childhood cancer.Journal of the National Cancer Institute · 2025Article
- A highly accurate risk factor-based XGBoost multiethnic model for identifying patients with skin cancer.Nature communications · 2025Article
- Novel Silicon-Based Fluorescent Nanocomposite Drug Carriers for Natural Compound Delivery in Melanoma Treatment.Journal of fluorescence · 2025Article
- Constructing multicancer risk cohorts using national data from medical helplines and secondary care.NPJ digital medicine · 2025Article
- Assessment of the Influence of UVR in Cutaneous Melanoma.Photodermatology, photoimmunology & photomedicine · 2025Review
- Smart Cancer-Targeting and Super-Sensitive Sensing of EuMolecules (Basel, Switzerland) · 2024Article
- Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm.Visual computing for industry, biomedicine, and art · 2024Article
- Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study.EClinicalMedicine · 2024Article
- Risk Factors and Innovations in Risk Assessment for Melanoma, Basal Cell Carcinoma, and Squamous Cell Carcinoma.Cancers · 2024Review
- Artificial intelligence and skin cancer.Frontiers in medicine · 2024Review
- Systemic immune-inflammation index values are associated with non-melanoma skin cancers: evidence from the National Health and Nutrition Examination Survey 2010-2018.Archives of medical science : AMS · 2024Article
- Article
- 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
- Skin Cancer Pathobiology at a Glance: A Focus on Imaging Techniques and Their Potential for Improved Diagnosis and Surveillance in Clinical Cohorts.International journal of molecular sciences · 2023Review
- Safety of photodynamic therapy combined with surgical excision in patients with actinic keratosis and risk factors for secondary cutaneous squamous cell carcinoma.American journal of translational research · 2023Article
- Discovery of 42 genome-wide significant loci associated with dyslexia.Nature genetics · 2022Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We trained and validated risk prediction models for the three major types of skin cancer- basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and melanoma-on a cross-sectional and longitudinal dataset of 210,000 consented research participants who responded to an online survey covering personal and family history of skin cancer, skin susceptibility, and UV exposure. We developed a primary disease risk score (DRS) that combined all 32 identified genetic and non-genetic risk factors. Top percentile DRS was associated with an up to 13-fold increase (odds ratio per standard deviation increase >2.5) in the risk of developing skin cancer relative to the middle DRS percentile. To derive lifetime risk trajectories for the three skin cancers, we developed a second and age independent disease score, called DRSA. Using incident cases, we demonstrated that DRSA could be used in early detection programs for identifying high risk asymptotic individuals, and predicting when they are likely to develop skin cancer. High DRSA scores were not only associated with earlier disease diagnosis (by up to 14 years), but also with more severe and recurrent forms of skin cancer.
Indexed as
Identifiers
What OpenQuestion holds
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.