Online prediction tools for melanoma survival : A comparison
© 2023 European Academy of Dermatology and Venereology..
BACKGROUND: Breslow thickness, patient age and ulceration are the three most valuable clinical and pathological predictors of melanoma survival. A readily available reliable online tool that accurately considers these and other predictors could be valuable for clinicians managing melanoma patients.
OBJECTIVE: To compare online melanoma survival prediction tools that request user input on clinical and pathological features.
METHODS: Search engines were used to identify available predictive nomograms. For each, clinical and pathological predictors were compared.
RESULTS: Three tools were identified. The American Joint Committee on Cancer tool inappropriately rated thin tumours as higher risk than intermediate tumours. The University of Louisville tool was found to have six shortcomings: a requirement for sentinel node biopsy, unavailable input of thin melanoma or patients over 70 years of age and less reliable hazard ratio calculations for age, ulceration and tumour thickness. The LifeMath.net tool was found to appropriately consider tumour thickness, ulceration, age, sex, site and tumour subtype in predicting survival.
LIMITATIONS: The authors did not have access to the base data used to compile various prediction tools.
CONCLUSION: The LifeMath.net prediction tool is the most reliable for clinicians in counselling patients with newly diagnosed primary cutaneous melanoma regarding their survival prospects.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:37 |
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| Enthalten in: |
Journal of the European Academy of Dermatology and Venereology : JEADV - 37(2023), 10 vom: 01. Okt., Seite 1999-2003 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Dixon, A [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 23.10.2023 Date Revised 23.10.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1111/jdv.19219 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM357131517 |
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| 245 | 1 | 0 | |a Online prediction tools for melanoma survival |b A comparison |
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| 500 | |a Date Revised 23.10.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023 European Academy of Dermatology and Venereology. | ||
| 520 | |a BACKGROUND: Breslow thickness, patient age and ulceration are the three most valuable clinical and pathological predictors of melanoma survival. A readily available reliable online tool that accurately considers these and other predictors could be valuable for clinicians managing melanoma patients | ||
| 520 | |a OBJECTIVE: To compare online melanoma survival prediction tools that request user input on clinical and pathological features | ||
| 520 | |a METHODS: Search engines were used to identify available predictive nomograms. For each, clinical and pathological predictors were compared | ||
| 520 | |a RESULTS: Three tools were identified. The American Joint Committee on Cancer tool inappropriately rated thin tumours as higher risk than intermediate tumours. The University of Louisville tool was found to have six shortcomings: a requirement for sentinel node biopsy, unavailable input of thin melanoma or patients over 70 years of age and less reliable hazard ratio calculations for age, ulceration and tumour thickness. The LifeMath.net tool was found to appropriately consider tumour thickness, ulceration, age, sex, site and tumour subtype in predicting survival | ||
| 520 | |a LIMITATIONS: The authors did not have access to the base data used to compile various prediction tools | ||
| 520 | |a CONCLUSION: The LifeMath.net prediction tool is the most reliable for clinicians in counselling patients with newly diagnosed primary cutaneous melanoma regarding their survival prospects | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Steinman, H K |e verfasserin |4 aut | |
| 700 | 1 | |a Kyrgidis, A |e verfasserin |4 aut | |
| 700 | 1 | |a Smith, H |e verfasserin |4 aut | |
| 700 | 1 | |a Sladden, M |e verfasserin |4 aut | |
| 700 | 1 | |a Zouboulis, C |e verfasserin |4 aut | |
| 700 | 1 | |a Argenziano, G |e verfasserin |4 aut | |
| 700 | 1 | |a Apalla, Z |e verfasserin |4 aut | |
| 700 | 1 | |a Lallas, A |e verfasserin |4 aut | |
| 700 | 1 | |a Longo, C |e verfasserin |4 aut | |
| 700 | 1 | |a Nirenberg, A |e verfasserin |4 aut | |
| 700 | 1 | |a Popescu, C |e verfasserin |4 aut | |
| 700 | 1 | |a Tzellos, T |e verfasserin |4 aut | |
| 700 | 1 | |a Cleaver, L |e verfasserin |4 aut | |
| 700 | 1 | |a Zachary, C |e verfasserin |4 aut | |
| 700 | 1 | |a Anderson, S |e verfasserin |4 aut | |
| 700 | 1 | |a Thomas, J M |e verfasserin |4 aut | |
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