Conventional versus Reduced-Frequency Follow-Up in Early-Stage Melanoma Survivors: A Systematic Review with Meta-Analysis.
Karolina RichterTomasz StefuraNikola KłosJonasz TempskiMarta Kołodziej-RzepaMichał KisielewskiTomasz WojewodaWojciech M WysockiPublished in: Current oncology (Toronto, Ont.) (2023)
To date, there have been multiple studies and clinical guidelines or recommendations for complex management of melanoma patients. The most controversial subjects included the frequency of follow-up. This study provides a coherent and comprehensive comparison of conventional vs. reduced-frequency follow-up strategies for early-stage melanoma patients. The value of our study consists in the precise analysis of a large collection of articles and the selection of the most valuable works in relation to the topic according to rigorous criteria, which allowed for a thorough study of the topic. The search strategy was implemented using multiple databases. The inclusion criteria were randomized clinical trial or cohort studies that compared the outcomes of a conventional follow-up schedule versus a reduced-frequency follow-up schedule for patients diagnosed with melanoma. In this study, authors analyzed recurrence and 3-year survival. Meta-analysis of outcomes presented by Deckers et al. and Moncrieff et. al. did not reveal a significant difference favoring one of the groups (OR 1.14; 95%CI: 0.65-2.00; p = 0.64). The meta-analysis of 3-year overall survival included two studies. The statistical analysis showed no significant difference in favor of the conventional follow-up group. (OR 1.10; 95%CI: 0.57-2.11; p = 0.79). Our meta-analysis shows that there is no advantage in a conventional follow-up regimen over a reduced-frequency regimen in early-stage melanoma patients.
Keyphrases
- early stage
- end stage renal disease
- newly diagnosed
- systematic review
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- patient reported outcomes
- gene expression
- randomized controlled trial
- artificial intelligence
- machine learning
- clinical trial
- deep learning
- neoadjuvant chemotherapy
- lymph node
- big data
- meta analyses
- case control