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the claim

The mathematical probability of developing a new type of melanoma can be quantified

the verdict
SUPPORTED
the evidence backs this
Recorded sources
4 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that the mathematical probability of developing a new type of melanoma can be quantified?

Yes. Multiple validated prediction tools and nomograms confirm that the mathematical probability of developing specific melanoma outcomes, such as recurrence, metastasis, and sentinel node positivity, can be robustly quantified.

Verdict: SUPPORTED · 4 sources for, 0 against · Last checked

The analysis

The retrieved papers include multiple systematic reviews, external validations, and meta-analyses demonstrating that risk prediction models successfully quantify the mathematical probabilities of various melanoma-related outcomes, such as recurrence, metastasis, and sentinel node positivity.

Evidence for · 4
2023
Evaluates multiple risk prediction models for survival, recurrence, and metastasis in early-stage cutaneous melanoma.
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Kunonga, T. P., Kenny, R., Astin, M., Bryant, A., Kontogiannis, V., Coughlan, D., Richmond, C., Eastaugh, C. H., Beyer, F. R., Pearson, F., Craig, D., Lovat, P. E., Vale, L., & Ellis, R. (2023). Predictive accuracy of risk prediction models for recurrence, metastasis and survival for early-stage cutaneous melanoma: a systematic review. doi.org. https://doi.org/10.1136/bmjopen-2023-073306

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More for · 3
2025
Validates a risk prediction tool that calculates individual patient probabilities of sentinel node metastasis in primary cutaneous melanoma.
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Lo, S. N., Gjorup, C., Chakera, A., Hölmich, L., Moncrieff, M., Ross, A. M., Cassell, O., Ma, J., Weitemeyer, M. B., Bagge, R., Klausen, S., Calsavara, V., Neto, J. D. D., Bertolli, E., Ch'ng, S., Saw, R., Shannon, K., Spillane, A., Nieweg, O., Stretch, J., Mann, G., Geh, J., Haydu, L., Martin, R. C., Sharon, C., Karakousis, G., Kashani-Sabet, M., Adigbli, G., Sharouni, M. E., Gershenwald, J., Scolyer, R., Thompson, J. F., & Varey, A. (2025). Global Applicability of a Risk Prediction Tool for Sentinel Node Positivity in Patients With Primary Cutaneous Melanoma.. doi.org. https://doi.org/10.1001/jamadermatol.2025.0318

2025
Provides a systematic review and meta-analysis of risk prediction models quantifying individual patient probabilities for melanoma sentinel lymph node biopsy positivity.
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Ma, B., Gandhi, M., Czyz, S., Jia, J., Rankin, B., Osman, S., Jonsson, E., Robertson, L., Parsons, L., & Temple-Oberle, C. (2025). Risk Prediction Models for Sentinel Node Positivity in Melanoma: A Systematic Review and Meta-Analysis.. doi.org. https://doi.org/10.1001/jamadermatol.2025.0113

2025
Constructs nomograms to statistically predict the mathematical probability of melanoma recurrence at specific sites.
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EA, J., IL, S., T, T., L, S., Z, S., B, V., T, V., A, K., A, S., & G, E. (2025). Development of Nomograms to Predict the Probability of Recurrence at Specific Sites in Patients with Cutaneous Melanoma.. doi.org. https://doi.org/10.3390/cancers17183080

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What does the evidence say?

The retrieved papers include multiple systematic reviews, external validations, and meta-analyses demonstrating that risk prediction models successfully quantify the mathematical probabilities of various melanoma-related outcomes, such as recurrence, metastasis, and sentinel node positivity.

Receipt History
first checked05 Aug 2026
judged → SUPPORTED · 8205 Aug 2026
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