EPIDEMIOLOGICAL STUDY OF CANCER PATIENTS RECEIVING RADIOTHERAPY AT H. ADAM MALIK GENERAL HOSPITAL MEDAN

Abstract

The escalating global burden of cancer, characterized by its complex etiology and significant morbidity and mortality, necessitates a robust understanding of its epidemiological patterns, particularly in diverse healthcare settings. Radiotherapy remains a cornerstone of cancer treatment, offering curative and palliative benefits across a wide spectrum of malignancies. However, its efficacy and impact are intrinsically linked to patient demographics, tumor characteristics, and treatment protocols, which can exhibit considerable regional variations. Existing literature highlights the critical need for localized epidemiological data to inform public health strategies, optimize resource allocation, and tailor treatment approaches to specific populations. Recent global trends indicate a continued rise in cancer incidence, with a disproportionate impact on developing nations, underscoring the urgency of comprehensive epidemiological surveillance and research. Despite the availability of general cancer statistics, a significant gap persists in detailed, institution-specific epidemiological profiles of cancer patients receiving radiotherapy. Specifically, there is a dearth of granular data concerning the demographic, clinical, and pathological characteristics of cancer patients undergoing radiotherapy at tertiary referral hospitals in Indonesia, such as RSUP H. Adam Malik Medan. This lack of detailed local evidence hinders the development of targeted interventions, accurate prognostication, and effective long-term survivorship care within this crucial healthcare institution and its surrounding community. Therefore, this study aims to bridge this critical knowledge gap by conducting a comprehensive epidemiological investigation of cancer patients who received radiotherapy at RSUP H. Adam Malik Medan. The primary objective of this research is to systematically characterize the epidemiological profile of cancer patients undergoing radiotherapy at RSUP H. Adam Malik Medan from [Start Year] to [End Year], by identifying and analyzing the distribution of key demographic factors (e.g., age, gender, socioeconomic status), prevalent cancer types and stages at diagnosis, common sites of metastasis, and the types of radiotherapy regimens employed. Furthermore, this study aims to explore the association between these epidemiological variables and treatment outcomes, specifically focusing on treatment completion rates and documented treatment-related toxicities. Drawing upon established epidemiological frameworks and the principles of cancer survivorship research, we hypothesize that specific demographic and clinical characteristics will be significantly associated with both treatment adherence and the occurrence of adverse events, thereby informing personalized radiotherapy planning and supportive care strategies. This study employs a retrospective, descriptive epidemiological design, utilizing a quantitative approach to analyze existing patient data. The research design was chosen for its ability to provide a broad overview of the patient population and identify prevalent patterns within a defined period, offering a robust foundation for understanding the epidemiological landscape of radiotherapy recipients. The study population comprises all adult cancer patients (aged 18 years and above) who received at least one fraction of radiotherapy at RSUP H. Adam Malik Medan between [Start Date] and [End Date]. A comprehensive sample size calculation was not performed due to the nature of retrospective data extraction; instead, all eligible patients within the defined timeframe were included to ensure maximal representation of the target population. Patient data was systematically extracted from electronic medical records and hospital registries, employing a standardized data collection form designed to capture demographic information (age, gender, residence, occupation), clinical data (cancer type, stage at diagnosis, primary site, metastatic sites, treatment intent – curative/palliative), and radiotherapy details (treatment modality, total dose, fractionation schedule, duration of treatment). The validity and reliability of the extracted data were ensured through rigorous cross-referencing of information from multiple sources within the patient's medical file and by employing a standardized protocol for data abstraction by trained research personnel. Statistical analysis will involve descriptive statistics (frequencies, percentages, means, standard deviations) to summarize patient characteristics and treatment patterns. Inferential statistics, such as chi-square tests and logistic regression, will be employed to explore associations between demographic and clinical variables and treatment outcomes (e.g., treatment completion, toxicity), with appropriate significance levels set at p < 0.05. The analysis revealed a total of [Number] cancer patients who received radiotherapy during the study period. The demographic profile indicated a predominance of [e.g., male patients, patients aged 50-69 years], comprising [Percentage]% and [Percentage]% of the cohort, respectively. The most frequently diagnosed cancer types were [e.g., lung cancer (X%), breast cancer (Y%), and head and neck cancer (Z%)]. At the time of diagnosis, a significant proportion of patients presented with advanced disease, with [Percentage]% of cases diagnosed at Stage III or IV. Metastatic disease was a common characteristic, observed in [Percentage]% of patients, predominantly affecting [e.g., bone, liver, and lungs]. Radiotherapy was most frequently utilized with a curative intent for [e.g., head and neck cancers (X%) and early-stage breast cancers (Y%)], while palliative radiotherapy was primarily administered for [e.g., metastatic bone disease (Z%) and symptom relief in advanced lung cancer (W%)]. Analysis of treatment completion rates indicated that [Percentage]% of patients successfully completed their prescribed radiotherapy courses. However, a notable finding was the significant association between [e.g., younger age, advanced stage at diagnosis, and presence of metastases] and lower treatment completion rates (p < 0.05). Furthermore, secondary analysis identified that [e.g., patients receiving palliative radiotherapy] experienced a higher incidence of treatment-related toxicities, particularly [e.g., fatigue and mucositis], compared to those receiving curative intent treatment (effect size = [e.g., 0.45], p < 0.01). An unexpected but significant finding was the observed higher proportion of patients from [e.g., rural areas] presenting with advanced disease, suggesting potential disparities in early detection and access to healthcare. The primary trend observed was the substantial burden of advanced-stage cancers requiring radiotherapy, highlighting the need for enhanced screening and early intervention programs. In conclusion, this epidemiological study provides a detailed characterization of cancer patients undergoing radiotherapy at RSUP H. Adam Malik Medan, revealing a substantial burden of advanced-stage malignancies and highlighting key demographic and clinical predictors associated with treatment completion and toxicity. The findings underscore the critical need for targeted public health initiatives aimed at improving early cancer detection and access to timely treatment in the region. Theoretically, this research contributes to the growing body of evidence on cancer epidemiology in Southeast Asia, offering valuable insights into the specific challenges faced by a tertiary referral center. Practically, the identified associations offer actionable recommendations for healthcare providers at RSUP H. Adam Malik Medan to optimize radiotherapy planning, stratify patients based on risk factors for non-completion and toxicity, and enhance supportive care strategies. Future research should focus on prospective studies to validate these findings, investigate the impact of specific oncological interventions on treatment outcomes, and explore the socioeconomic determinants of cancer survivorship in this population.