Cancer survivors may experience unmet needs beyond the end of their treatment. This paper aimed to explore the prevalence and most frequently found unmet needs and to identify factors associated with higher levels of total unmet needs and with each domain separately. Five databases were searched using the keywords neoplasms, survivors, needs assessment, health services’ needs and demands. The results were presented based on the strength of the evidence (strong, moderate and weak association) and the categorisation of the pooled prevalence of at least one unmet need (high, moderate, low). Twenty‐six studies were included in the review. A higher prevalence of at least one reported unmet need was observed in survivors with less time since treatment and in women with breast cancer. The most frequently reported unmet needs were fear of cancer recurrence and requesting up to date information. Strong evidence was found for an association between a higher number of unmet needs and younger age, higher anxiety and poorer quality of life. Future studies on unmet needs should report how unmet needs are associated with each domain separately. This might solve the inconclusive evidence found for the stage of the disease at diagnosis and depression.

Prevalence of multiple sclerosis varies with geographic latitude. We hypothesized that this fact might be partially associated with the influence of latitude on circadian rhythm and consequently that genetic variability of key circadian rhythm regulators, ARNTL and CLOCK genes, might contribute to the risk for multiple sclerosis. Our aim was to analyse selected polymorphisms of ARNTL and CLOCK, and their association with multiple sclerosis. A total of 900 Caucasian patients and 1024 healthy controls were compared for genetic signature at 8 SNPs, 4 for each of both genes. We found a statistically significant difference in genotype (ARNTL rs3789327, P = 7.5·10−5; CLOCK rs6811520 P = 0.02) distributions in patients and controls. The ARNTL rs3789327 CC genotype was associated with higher risk for multiple sclerosis at an OR of 1.67 (95% CI 1.35–2.07, P = 0.0001) and the CLOCK rs6811520 genotype CC at an OR of 1.40 (95% CI 1.13–1.73, P = 0.002). The results of this study suggest that genetic variability in the ARNTL and CLOCK genes might be associated with risk for multiple sclerosis.