Hospital Cancer Registries serve as a vital source of information for clinical and epidemiological research, allowing the evaluation of patient care outcomes through therapeutic protocol analysis and patient survival assessment. This study aims to assess the trend of incompleteness in the epidemiological variables within the Hospital Cancer Registry of a renowned oncology center in a Brazilian state. An ecological time-series study was conducted using secondary data from the Hospital Santa Rita de Cássia Cancer Registry in Espírito Santo between 2000 and 2016. Data completeness was categorized as follows: excellent (50%), based on the percentage of missing information. Descriptive and bivariate statistical analyses were performed using the free software RStudio (version 2022.07.2) and R (version 4.1.0). The Mann–Kendall test was used to assess temporal trends between the evaluated years, and the Friedman test was employed to evaluate quality scores across the years. Among the variables assessed, birthplace, race/color, education, occupation, origin, marital status, history of alcohol and tobacco consumption, previous diagnosis and treatment, the most important basis for tumor diagnosis, tumor-node-metastasis staging (TNM) staging, and clinical tumor staging by group (TNM) showed the highest levels of incompleteness. Conversely, other epidemiological variables demonstrated excellent completeness, reaching 100% throughout the study period. Significant trends were observed over the years for history of alcohol consumption ( P < .001), history of tobacco consumption ( P < .001), TNM staging ( P = .016), clinical tumor staging by group (TNM) ( P = .002), first treatment received at the hospital ( P = .012), disease status at the end of the first treatment at the hospital ( P < .001), and family history of cancer ( P < .001), and tumor laterality ( P = .032). While most epidemiological variables within the Hospital Santa Rita de Cássia Cancer Registry exhibited excellent completeness, some important variables, such as TNM staging and clinical staging, showed high levels of incompleteness. Ensuring high-quality data within Cancer Registries is crucial for a comprehensive understanding of the health-disease process.

Background: Breast cancer poses a significant public health concern owing to its high prevalence and the risk of mortality associated with delayed diagnosis and treatment. The aim of this study was to assess the nutritional status of women with non-metastatic breast cancer and to identify factors associated with it. Methods: A cross-sectional observational study was conducted at a High Complexity Oncology Assistance Center in the southeast region of Brazil, with the aim of assessing the nutritional status in women undergoing treatment for stage I, II, or III breast cancer. Patients in palliative care or undergoing reconstructive surgery were excluded. Data collection took place between June 2022 and March 2023 and included questionnaires, physical examinations, laboratory tests, and anthropometric assessments. Nutritional status was assessed using measures such as BMI and skinfold thickness, while nutritional risk was assessed using the Nutritional Risk Screening (NRS-2002) tool. Results: Significant associations were found between nutritional risk and educational level (p = 0.03) and BMI (p = 0.01). Binary logistic regression analysis revealed a significant association between educational level and nutritional risk, indicating that lower educational level was associated with higher odds of nutritional risk (OR = 4.59; 95% CI = 1.01–21.04; p = 0.049). In addition, regarding BMI, it was observed that a BMI above 20.5 kg/m² was associated with a higher likelihood of nutritional risk (OR = 0.09; 95% CI = 0.01–0.89; p = 0.039). Conclusions: It is crucial to consider the nutritional status of breast cancer patients, alongside clinical factors, to offer comprehensive and personalized care. Gaining insight into the sociodemographic variables linked to nutritional risk can significantly contribute to our understanding of breast cancer. This knowledge, in turn, can aid in identifying effective strategies for public policy, health promotion, and prevention efforts aimed at tackling this condition.

Patients with cancer undergoing chemotherapy may have different cancer symptom clusters (CSC) that negatively impact their quality of life (QoL). These symptoms can sometimes arise from the disease itself or as a result of their cancer treatment. This study aimed to: examine the feasibility of longitudinal testing of CSC pattern and QoL in a sample of adult cancer patients undergoing outpatient chemotherapy; to identify the cardiovascular risk of patients with cancer undergoing outpatient chemotherapy; and to investigate the most prevalent CSC and their impact on the QoL of these patients. A longitudinal pilot study was conducted with eleven participants with a mean age of 56.09 years (range: 27–79) diagnosed with malignant neoplasm and undergoing outpatient chemotherapy treatment were evaluated during 6 cycles of chemotherapy. The CSC, cardiovascular risk, and QoL were assessed using the MSAS, FRS, and EQ-5D-3L™, respectively. Descriptive statistical and non-parametric bivariate analyses were performed. Patients who started chemotherapy treatment generally had a low to moderate cardiovascular risk and were likely to have a family history of hypertension, acute myocardial infarction, and stroke. Cardiovascular risk was found to be correlated with patient age (Rho _s  = 0.64; P = .033). In addition, the results showed a reduction in the QoL scoring over the 6 chemotherapy sessions. Regarding the most prevalent CSC, 2 clusters were identified: the neuropsychological symptom cluster (difficulty concentrating-sadness-worry) and the fatigue-difficulty sleeping cluster. Between the first and sixth chemotherapy sessions, there was a decrease in the perception of “mild” severity (P = .004) and an increase in the perception of “severe” and “very severe” (P = .003) for all symptoms. Adequate attention to CSC should be the basis for the accurate planning of effective interventions to manage the symptoms experienced by cancer patients.

Background/Objectives: Cancer, a leading cause of mortality globally and in Brazil, is influenced by environmental and behavioral factors, often linked to nutritional deficiencies such as low body mass index and muscle wasting, exacerbating prognostic outcomes and mortality rates. Timely nutritional interventions during chemotherapy are pivotal, necessitating continuous nutritional assessment for effective patient care management. This study aimed to assess the nutritional status of non-metastatic cancer patients undergoing chemotherapy and identify factors influencing their nutritional status. Patient evaluation involved sociodemographic data, clinical profiles, anthropometric measurements, blood biochemical analyses, and nutritional status classification employing the Patient-Generated Subjective Global Assessment (PG-SGA) criteria. Statistical analysis was performed using R software. Results: Suspected malnutrition was identified in 5.81% of patients, with a significant association observed with gender, indicating a higher prevalence among men. Cancer stages II and III, along with a positive family history, correlated with heightened risk of malnutrition. Patients with suspected malnutrition exhibited older age, lower weight, body mass index (BMI), and reduced circumferences, underscoring the necessity of comprehensive nutritional assessment for optimized patient management during treatment. Conclusions: This study underscores a notable prevalence of malnutrition, particularly among patients with lower weight and BMI, affirming the reliability of PG-SGA criteria.

Objectives: to analyze the completeness of variables from Hospital-Based Cancer Registries of cases of prostate neoplasm in the Oncology Care Network of a Brazilian state between 2000 and 2020. Methods: an ecological time series study, based on secondary data on prostate cancer Hospital-Based Cancer Registries prostate. Data incompleteness was classified as excellent (50%), according to the percentage of lack of information. Results: there were 13,519 cases of prostate cancer in the Hospital-Based Cancer Registries analyzed. The variables “family history of cancer” (p<0.001), “alcoholism” (p<0.001), “smoking” (p<0.001), “TNM staging” (p<0.001) had a decreasing trend, while “clinical start of treatment” (p<0.001), “origin” (p=0.008) and “occupation” (p<0.001) indicated an increasing trend. Conclusions: most Hospital-Based Cancer Registries variables showed excellent completeness, but important variables had high percentages of incompleteness, such as TNM and clinical staging, in addition to alcoholism and smoking.

This ecological time series study aimed to examine the temporal trends in the completeness of epidemiological variables from a hospital-based cancer registry (HbCR) of a reference center for pediatric oncology in Brazil from 2010 to 2016. Completeness categories were based on the percentage of missing data, with the categories excellent (50%). Descriptive and bivariate analyses were performed using R.4.1.0; a Mann–Kendall trend test was performed to examine the temporal trends. Variables with the highest incompleteness included race/color (17.24% in 2016), level of education (51.40% in 2015), TNM (56.88% in 2012), disease status at the end of the first treatment (12.09% in 2013), cancer family history (79.12% in 2013), history of alcoholic consumption (39.25% in 2015), history of tobacco consumption (38.32% in 2015), and type of admission clinic (10.28% in 2015). Nevertheless, most variables achieved 100% completeness and were classified as excellent across the time series. A significant trend was observed for race/color, TNM, and history of tobacco consumption. While most variables maintained excellent completeness, the increasing incompleteness trend in race/color and decreasing trend in TNM underscore the importance of reliable and complete HbCRs for personalized cancer care, for planning public policies, and for conducting research on cancer control.