ObjectiveTo systematically evaluate effectiveness and safety of total thyroidectomy(TT) plus prophylactic central neck dissection(PCND) versus TT for stage cN0 papillary thyroid carcinoma(PTC). MethodsDatabases including PubMed, EMbase, The Cochrane Library(Issue1, 2015), WanFang Data, CBM, and CNKI were searched to collect the randomized controlled trails(RCTs) and non-RCTs about TT+PCND versus TT for stage cN0 PTC. The retrieval time was from inception to March 2015. The studies were screened according to the inclusion and exclusion criteria, the data were extracted and the quality was evaluated independently by 2 reviewers. Then the meta-analysis was conducted using RevMan 5.1 software. ResultsA total of 10 non-RCTs involving 3 661 patients were included. There were 1 774 cases in the TT+PCND group and 1 887 cases in the TT group. The results of meta-analysis showed that: Related to postoperative complications, compared with TT group, the postoperative transient hypocalcemia rate〔OR=0.40, 95% CI(0.33, 0.49), P < 0.000 01〕and permanent hypocalcemia rate were higher〔OR=0.32, 95% CI(0.19, 0.55), P < 0.000 1〕, the recurrence rate was lower〔OR=1.51, 95% CI(1.07, 2.13), P=0.02〕in the TT+PCND group. But there were no differences in the transient laryngeal nerve palsy rate〔OR=0.73, 95% CI(0.49, 1.09), P=0.13〕and permanent laryngeal nerve palsy rate〔OR=0.87, 95% CI(0.50, 1.52), P=0.62〕between the 2 groups. ConclusionsTT+PCND is superior to TT in treating stage cN0 PTC for it's lower recurrence, but it is raising transient hypocalcemia and permanent hypocalcemia rate at the same time. And it is similar as TT in transient laryngeal nerve palsy and permanent laryngeal nerve palsy rate. So TT+PCND is safe and feasible for treating stage cN0 PTC when its indications are strictly controlled. However, for the quantity and quality limitation of the included studies, this conclusion still requires to be further proved by performing large scale and high quality RCTs. It suggests that doctors should choose a best therapy for stage cN0 PTC patients according to an integrative disease assessment.
ObjectiveTo investigate the risk factors for central lymph node metastasis (CLNM) in patients with clinically negative lymph node (cN0 stage) papillary thyroid carcinoma (PTC).MethodsThe clinicopathological data of 250 patients with cN0 PTC who underwent thyroidectomy and central lymph node dissection (CLND) in Department of General Surgery of Xuzhou Central Hospital from June 2016 to June 2019 were retrospectively analyzed. The influencing factors of CLNM in patients with cN0 PTC were analyzed by univariate analysis and binary logistic regression, and then R software was used to establish a nomogram prediction model, receiver operating characteristic curve was used to evaluate the differentiation degree of the model, and Bootstrap method was used for internal verification to evaluate the calibration degree of the model.ResultsCLNM occurred in 147 of 250 patients with cN0 PTC, with an incidence of 58.8%. Univariate analysis showed that multifocal, bilateral, tumor diameter, and age were correlated with CLNM (P<0.01). The results of binary logistic regression analysis showed that multifocal, bilateral tumors, age≥45 years old, and tumor diameter>1 cm were independent risk factors for CLNM in patients with cN0 PTC (P<0.05). The area under the curve (AUC) of the nomogram prediction model established on this basis was 0.738, and the calibration prediction curve in the calibration diagram fitted well with the ideal curve.ConclusionsCLNM is more likely to occur in PTC. The nomogram model constructed in this study can be used as an auxiliary means to predict CLNM in clinical practice.
Objective To analyze the correlation among the clinicopathologic features, ultrasound imaging features, and axillary lymph node metastasis in breast cancer patients with negative clinical evaluation of axillary lymph nodes (cN0), and to establish a logistic regression model to predict axillary lymph node metastasis, so as to provide a reference for more accurate evaluation of axillary lymph node status in cN0 breast cancer patients. Methods The data of 501 female patients with cN0 breast cancer who were hospitalized and operated in the Affiliated Hospital of Wuhan University of Science and Technology (Xiaogan Central Hospital) from December 2013 to October 2020 were collected. Among them, 376 patients from December 2013 to December 2019 were selected to establish a prediction model for axillary lymph node metastasis of cN0 breast cancer. In the modeling group, the basic information, clinical pathological characteristics, and ultrasound imaging features of patients were analyzed by single factor analysis. The factors with statistical significance were included in the multivariate logistic regression analysis, and the logistic regression prediction model was established. The model was evaluated by the correction curve and Hosmer-Lemeshow test goodness of fit. The model was validated in the validation group (125 patients from January to October 2020), and the receiver operation characteristic (ROC) curve was drawn. Results The probability of positive axillary lymph nodes in 501 patients with cN0 breast cancer was 28.14% (141/501). The univariate analysis results of the modeling group showed that the histological grade, vascular invasion, progesterone receptor (PR), Ki-67, age, molecular typing, ultrasound breast imaging-reporting and data system (BI-RADS) grade were associated with axillary lymph node metastasis. Multivariate logistic regression analysis showed that the vascular infiltration, positive estrogen receptor (ER) , ultrasound BI-RADS grade 4C and Ki-67≥14% increased the probability of axillary lymph node metastasis (P<0.05). Using the above prediction factors to establish the prediction nomogram, the area under the ROC curve (AUC) of the modeling group was 0.72 [95%CI (0.66, 0.78)], the cut-off value was 0.30, the sensitivity was 61.00%, and the specificity was 71.20%. The newly established axillary lymph node transfer logistic regression model was applied to the validation group (n=125), and the AUC was 0.72 [95%CI (0.53, 0.76)]. The truncation value was 0.40, and the total coincidence rate was 69.60% (87/125), positive predictive value was 47.37% (18/38), and negative predictive value was 91.95% (80/87). Conclusions Vascular invasion, positive ER , ultrasound BI-RADS grade 4C, and Ki-67≥14% are risk predictors of axillary lymph node metastasis in cN0 breast cancer patients. The negative predictive value of the model is 91.95%, which has a higher value in predicting axillary lymph node metastasis in early breast cancer patients, and can provide a reference for screening exempt sentinel lymph node biopsy population.