The interaction between social determinants of health and cervical cancer survival: A systematic review.

OBJECTIVE: This systematic review aimed to investigate what are the most relevant social determinants of health (SDH), how they are measured, how they interact among themselves and what is their impact on the outcomes of cervical cancer patients. METHODS: Search was performed in PubMed, Scopus, Web of Science, Embase, Cochrane, and Google Scholar databases from January 2001 to September 2022. The protocol was registered at PROSPERO (CRD42022346854). We followed the PICOS strategy: Population- Patients treated for cervical cancer in the United States; Intervention - Any SDH; Comparison- None; Outcome measures- Cancer treatment outcomes related to the survival of the patients; Types of studies- Observational studies. Two reviewers extracted the data following the PRISMA guidelines. Joanna Briggs Institute Critical Appraisal Checklist for Analytical Cross-Sectional Studies was used for risk of bias (ROB) assessment. RESULTS: Twenty-four studies were included (22 had low and 2 had moderate ROB). Most manuscripts analyzed data from public registries (83.3%) and only one SDH (54.17%). The SDH category of Neighborhood was not included in any study. Although the SDH were measured differently across the studies, not being married, receiving treatment at a low-volume hospital, and having public insurance (Medicaid or Medicare) or not being insured was associated with shorter survival of cervical cancer patients in most studies. CONCLUSIONS: There is a deficit in the number of studies comprehensively assessing the impact of SDH on cervical cancer treatment-related outcomes. Marital status, hospital volume and health insurance status are potential predictors of worse outcome.

Uterine Corpus Malignancies in Appalachia Kentucky: Incidence, Survival, and Related Health Disparities.

OBJECTIVES: Uterine cancer is the nation's most common gynecologic malignancy, but it is understudied in the geographically and socioeconomically diverse state of Kentucky (KY). Our aim was to assess the frequency, distribution, and survival of uterine corpus malignancies in KY, and specifically the differences between Appalachia (AP) and non-Appalachia (NAP) KY. METHODS: This population-based cohort study used Surveillance, Epidemiology, and End Results data and the Kentucky Cancer Registry to study uterine corpus malignancy between January 1, 2000 and December 31, 2014. The analysis looked at the incidence between diagnoses in AP and NAP. The evaluation criteria included tumor histology (type I, type II, sarcoma, and mixed uterine malignancy), age, race, smoking status, stage at diagnosis, insurance status, and county of residence at diagnosis. RESULTS: The overall age-adjusted incidence rate and survival are similar for US and KY populations; however, histologic types and distribution differ. Compared with the United States, the incidence of corpus cancers in KY is higher for type I (P = 0.03), but lower for type II (P = 0.003), sarcoma (P = 0.006), and mixed (P < 0.001). AP KY has a higher incidence of type I (P < 0.0001) and mixed malignancy (P = 0.04), younger age at diagnosis (P < 0.0001), larger non-Hispanic white population (P < 0.0001), fewer smokers (P = 0.002), and more uninsured and Medicaid recipients (P < 0.0001) compared with NAP KY. The hazard ratio for death is similar in AP and NAP KY (0.896; 95% confidence interval 0.795-1.009). CONCLUSIONS: Type I and mixed uterine corpus cancers have a higher age-adjusted incidence and a younger age at diagnosis in AP compared with NAP KY.