Assessment of Current Medical Management Approaches for Thyroid Nodules and Cancer in a Tertiary Care Setting
Year: 2024
Type: article
Study design: Observational Study
Abstract: Background: Cancer and thyroid nodules are serious worldwide health issues that need accurate diagnosis and treatment to stop their development. Even with improvements in diagnostic techniques and therapeutic approaches, there are still unanswered questions about the best medical care. Objective: This study aimed to assess current medical treatment approaches for thyroid nodules and cancer, identifying areas for improvement and suggesting interventions to enhance patient outcomes. Methodology: The study's objective was to evaluate medical treatment modalities for thyroid nodules and cancer among hospitalized patients from January to December 2023. 290 patients in all were chosen depending on how often they visited the hospital. Standardized forms were used in the data gathering process to extract clinical and demographic information from databases and records. Descriptive statistics and multivariate logistic regression were used in the statistical analysis using SPSS 25.0. Results: The research examined 290 individuals with cancer and thyroid nodules, most of them were female (62.07%) and varied in age. Sixty-five percent of the samples showed benign nodules, with papillary thyroid carcinoma being the most common kind (39.31%). The most common treatment (45.86%) was levothyroxine therapy, which was successful in 75.19% of patients. Levothyroxine was shown to be substantially related with favorable outcomes (odds ratio: 2.50) by multivariate logistic regression. Hypothyroidism (9.77%-18.18%) and hyperthyroidism (4.51%-6.06%) were among the side effects. Conclusion: The study emphasizes the crucial role of levothyroxine in achieving positive outcomes and underscores the importance of effectively managing treatment-related complications to improve patient care.
Authors: Asif Iqbal, Zahid Mehboob, Ihtisham Haq
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4405907387