Abstract 1571
Background
Papillary carcinoma is the most common type of thyroid cancer and if it is not treated early, it can spread throughout the body. Therefore, the first line of treatment for papillary thyroid cancer is the surgery by removing part of or the entire thyroid. Our study aims to establish the most effective surgical procedure (total thyroidectomy or partial thyroidectomy) to achieve better survival for stage I and II papillary carcinoma and evaluate the effect of the ethnicity, sex and age on patients' survival undergoing these surgical techniques.
Methods
We extracted the data from the Surveillance, Epidemiology, and End Results (SEER) 18 registries. We retrieved data of 3691 patients diagnosed with papillary thyroid cancer in 2010. We evaluated the 5-year overall survival of patients using the log-rank test. Patients were grouped into two groups. The first one underwent thyroid lobectomy (242) and the second underwent total thyroidectomy (3449). Patients were further grouped according to ethnicity (white, black, American or Asian), sex (female or male) and age group.
Results
We found that total thyroidectomy was associated with better 5-year overall survival rates in patients with early stage papillary carcinoma, compared to lobectomy (98.1% and 96.5%, respectively, P = 0.021). Moreover, total thyroidectomy showed better survival rates in females than males (98.6% and 95.7%, respectively, p = 0.000) and in young patients aged between 20-39 years (99.8%, p = 0.000). Meanwhile, surgical techniques were not significantly associated with patients’ ethnicity.
Conclusions
Total thyroidectomy was superior to lobectomy in early stages papillary thyroid carcinoma.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Sara Ahmed.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
4732 - Progesterone Receptor Isoform Ratio Dictates Antiprogestins/Progestins Effects on Metastatic Breast Cancer Models
Presenter: Maria Abascal
Session: Poster Display session 2
Resources:
Abstract
5737 - PAM50 and CGH-array genomic characterization of HER2-Equivocal Breast Cancers defined by the 2018 ASCO/CAP recommendations.
Presenter: Carine Ngo
Session: Poster Display session 2
Resources:
Abstract
1096 - OncotypeDX® predictive nomogram for recurrence score output: a machine learning system based on quantitative immunochemistry analysis - ADAPTED01
Presenter: Fabio Marazzi
Session: Poster Display session 2
Resources:
Abstract
5426 - Geriatric parameters predict both disease-related and patient-reported outcomes in older patients with breast cancer
Presenter: Willeke van der Plas-Krijgsman
Session: Poster Display session 2
Resources:
Abstract
5865 - Patients with a 21-gene assay in South East London differ from the TAILORx trial population
Presenter: Charalampos Gousis
Session: Poster Display session 2
Resources:
Abstract
1312 - Predictive tools in adjuvant breast cancer – what is the standard of evidence supporting their utility? A literature review examining validation of Adjuvant!, Cancermath and NHS Predict
Presenter: Alice Loft
Session: Poster Display session 2
Resources:
Abstract
2445 - Oncologic outcome of invasive lobular carcinoma: Is it different from that of invasive ductal carcinoma?
Presenter: Hee Jun Choi
Session: Poster Display session 2
Resources:
Abstract
2476 - Pathologic response and survival efficacy in patients with initial nodal involvement after neoadjuvant chemotherapy in early breast cancer
Presenter: SERAFIN MORALES Murillo
Session: Poster Display session 2
Resources:
Abstract
3761 - Chemotherapy-induced amenorrhea: prognostic impact on premenopausal Egyptian patients with breast cancer
Presenter: Khaled Abdel Karim
Session: Poster Display session 2
Resources:
Abstract
4687 - Predicting the presence of breast cancer using circulating small RNA in the serum
Presenter: Yumiko Koi
Session: Poster Display session 2
Resources:
Abstract