Melanoma risk, tumour stage, and melanoma-specific mortality in individuals with diabetes: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Cancer has become the leading diabetes-related cause of death in high-income countries, and more knowledge is needed to clarify the impact of diabetes on site-specific cancers. The purpose of this study is to assess the association between diabetes and malignant melanoma by conducting a comprehensive systematic review and meta-analysis. METHODS: Using predefined eligibility criteria, PubMed, The Cochrane Library and Web of Science were systematically searched up to February 22, 2023. Exposure was defined as diabetes or type 2 diabetes and the outcomes were defined as melanoma incidence, melanoma stage or melanoma-specific mortality. The identified articles were evaluated by two independent reviewers and quality assessment was conducted using the Newcastle-Ottawa Scale for observational studies. Meta-analyses were conducted using RevMan 5.4.1 on melanoma risk using adjusted risk estimates and on melanoma stage using a dichotomous model. RESULTS: The literature search revealed 20 studies in total eligible for inclusion, 14 for the analysis of melanoma risk, 3 for melanoma thickness and ulceration, and 4 for melanoma-specific survival. According to the meta-analyses, diabetes did not impact the risk of developing melanoma (RR:1.05, 95%CI:0.99-1.12, p = 0.10). However, type 2 diabetes was associated with more advanced melanoma stages at the time of diagnosis (Breslow-thickness > 1 mm: RR 1.35, 95%CI: 1.22-1.49, p = < 0.001) and presence of ulceration (RR 1.30, 95%CI: 1.00-1.68, p = 0.05). A meta-analysis on the association between diabetes and melanoma-specific mortality was not feasible due to diverse study designs. CONCLUSION: Our meta-analysis found no association between diabetes and the risk of developing melanoma, but diabetes was associated with increased tumour thickness and the presence of ulceration at the time of diagnosis. Further research is warranted to explore the association between diabetes melanoma stage and prognosis. TRIAL REGISTRATION: PROSPERO ID CRD42023394187.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.045 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".