A meta-analysis of total thyroidectomy and lobectomy outcomes in papillary thyroid microcarcinoma.

INTRODUCTION: Current research on the most effective surgical method for papillary thyroid microcarcinoma is in dispute. Specifically, whether a total thyroidectomy (TT) is superior to a thyroid lobectomy (LT) in terms of recurrence rate, postoperative complications, and recurrence-free survival is an issue to be addressed. The objective of this study was to compare TT with LT in terms of recurrence, postoperative complications, and recurrence-free survival. METHODS: In accordance with the Preferred Reporting Items for Systemic Reviews and Meta-Analyses standards, the PubMed, Embase, web of science and the Cochrane Library database were searched for relevant studies comparing TT versus LT. By pooling the relative risks (RR) of the 2 surgical procedures, perioperative results of the 2 group can be estimated. Recurrence-free survival was calculated from hazard ratios between the 2 surgical group. RESULTS: This meta-analysis included 8 studies involving 16,208 patients. In the TT group, there were fewer recurrences than in the LT group. (RR = 0.68; 95% confidence interval [CI], 0.39 to 1.18; P = .001). In subgroup analyses based on country and sample size, there were no significant differences between the 2 groups for the recurrence rates. We found that patients that underwent LT had lower total complication rates (RR = 15.12; 95% CI, 8.89 to 25.73; P = .009), wound recurrent laryngeal nerve injury and hypocalcemia. In terms of survival, TT can provide better recurrence-free survival than LT, with a hazard ratios of 0.57 (95% CI 0.36 to 0.90; P = .003). CONCLUSION: Comparing TT with LT, no statistical difference was found in recurrence rates between the 2 groups. In addition, the analysis showed a slight improvement in long-term recurrence-free survival for patients who underwent TT than for those who underwent LT, a finding with potential clinical implications for management decisions on papillary thyroid microcarcinoma treatment.

Survival benefit of active surveillance for papillary thyroid carcinoma: a propensity score matching analysis based on SEER database.

Background: Over-treatment of papillary thyroid microcarcinoma (PTMC) has become a common issue. Although active surveillance (AS) has been proposed as an alternative treatment to immediate surgery for PTMC, its inclusion criteria and mortality risk have not been clearly defined. The purpose of this study was to investigate whether surgery can achieve significant survival benefits in patients with larger tumor diameter of papillary thyroid carcinoma (PTC), in order to evaluate the feasibility of expanding the threshold for active surveillance. Methods: This study retrospectively collected data of patients with papillary thyroid carcinoma from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2019. The propensity score matching (PSM) method was used to minimize confounding factors and selection bias between the surgery and non-surgery groups, and to compare the clinical and pathological characteristics between the two groups based on the SEER cohort. Meanwhile, the impact of surgery on prognosis was compared using Kaplan-Meier estimates and Cox proportional hazard models. Results: A total of 175,195 patients were extracted from the database, including 686 patients who received non-surgical treatment, and were matched 1:1 with patients who received surgical treatment using propensity score matching. The Cox proportional hazard forest plot showed that age was the most important factor affecting overall survival (OS) of patients, while tumor size was the most important factor affecting disease-specific survival (DSS) of patients. In terms of tumor size, there was no significant difference in DSS between PTC patients with tumor size of 0-1.0cm who underwent surgical treatment and those who underwent non-surgical treatment, and the relative survival risk began to increase after the tumor size exceeded 2.0cm. Additionally, the Cox proportional hazard forest plot showed that chemotherapy, radioactive iodine, and multifocality were negative factors affecting DSS. Moreover, the risk of death increased over time, and no plateau phase was observed. Conclusion: For patients with papillary thyroid carcinoma (PTC) staged as T1N0M0, AS is a feasible management strategy. As the tumor diameter increases, the risk of death without surgical treatment gradually increases, but there may be a threshold. Within this range, a non-surgical approach may be a potentially viable management strategy. However, beyond this range, surgery may be more beneficial for patient survival. Therefore, it is necessary to conduct more large-scale prospective randomized controlled trials to further confirm these findings.

Nomogram predicts risk and prognostic factors for lung metastasis of anaplastic thyroid carcinoma: a retrospective study in the Surveillance Epidemiology and End Results (SEER) database.

Background: Lung metastasis (LM) is a frequent occurrence in patients with anaplastic thyroid cancer (ATC) and is often associated with a poor prognosis. However, there is currently a lack of specific research focusing on the diagnostic and prognostic evaluation of LM in ATC patients using nomograms. Consequently, the establishment of effective predictive models holds significant importance in providing guidance for clinical practice. Methods: We screened patients from Surveillance Epidemiology and End Results (SEER) database between 2000 and 2018. To identify independent risk factors for LM in patients with ATC, we conducted univariate and multivariate logistic regression analyses. We also conducted univariate and multivariate Cox proportional hazards regression analyses to identify independent prognostic factors for ATC patients with LM. Based on these analyses, we developed two novel nomograms. The performance of the nomograms was assessed using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results: A cohort of 540 ATC patients was enrolled in the study, among whom 181 patients (33.5%) were identified with LM at the time of initial diagnosis. The independent risk factors for LM in patients with ATC included tumor size, extent of surgery, lateral cervical lymph node metastasis, and radiotherapy. Furthermore, tumor size, extent of surgery, radiotherapy, and chemotherapy were identified as independent factors influencing the prognosis of ATC patients with LM. The accuracy of the two nomograms in predicting the occurrence and prognosis of LM in ATC patients was confirmed through the analysis of ROC curves, calibration, DCA curves, and Kaplan-Meier (K-M) survival curves on both the training and validation sets. Conclusions: The two nomograms are highly accurate in predicting LM in patients with ATC and in forecasting patient outcomes for patients with lung metastases. Consequently, they offer valuable support for personalized clinical decision-making in future clinical practice.