A nomogram to predict skip metastasis in papillary thyroid cancer

Wang, Wenlong; Liu, Yang; Ouyang, Qianhui

doi:10.1186/s12957-020-01948-y

Cited by 36 publications

(33 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Not all PTC lesions are the same, and the lesion characteristics should be evaluated to determine which options are available for each patient [ 28 ]. Therefore, shared decision-making (SDM) should be recommended for clinical practice, which is an approach of care that involves the clinician using the best available evidence to discuss the attributes of different treatment options with patients to choose a method that makes intellectual and practical sense [ 29 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

Predicting factors of central lymph node metastasis and BRAFV600E mutation in Chinese population with papillary thyroid carcinoma

et al. 2021

View full text Add to dashboard Cite

Objective The aim of this study was to evaluate the predictive factors of central lymph node metastasis (CLNM) and BRAFV600E mutation in Chinese patients with papillary thyroid carcinoma (PTC). Methods A total of 943 PTC patients who underwent thyroidectomy from 2014 to 2016 at our hospital were enrolled. Those patients were divided into PTC > 10 mm and papillary thyroid microcarcinoma (PTMC) groups by tumor size. The BRAFV600E mutation was examined by quantitative real-time PCR. Univariate and multivariate analyses were used to examine risk factors associated with CLNM and the BRAFV600E mutation. Results The frequency of CLNM was 53% (505/943). Both univariate and multivariate analyses suggested that the risk factors for CLNM in PTC patients were male, younger age, and larger tumor size (P < 0.05). Coexistent Hashimoto thyroiditis (HT) was an independent protective factor against CLNM when the tumor was > 10 mm (P = 0.006). Stratified analysis revealed that male, age ≤ 30 years, and tumor size > 5 mm were independent risk factors for CLNM. The BRAFV600E mutation rate was 85%. Multivariate logistic regression analysis revealed that age (P < 0.001) and coexistent HT (P = 0.005) were independent predictive factors of BRAFV600E mutation in PTC patients. Only age was a risk factor for the BRAFV600E mutation when the tumor was > 10 mm (P = 0.004). In the PTMC group, the BRAFV600E mutation was significantly correlated with tumor size (P < 0.001) and coexistent HT (P = 0.03). Stratified analysis revealed that age > 30 years and tumor size > 5 mm were independent predictive factors of BRAFV600E mutation. Furthermore, the incidence of CLNM was significantly higher in BRAFV600E mutation-positive patients (P = 0.009) when the tumor was ≤ 5 mm. Conclusion The factors male, younger age (≤ 30 years), large tumor size (> 5 mm), and coexistent HT are independent predicative factors for CLNM. The BRAFV600E mutation is associated with both large size and without HT in PTMC patients, age > 30 years in the PTC > 10 mm group. The BRAFV600E mutation was an independent risk factor for CLNM when the tumor was ≤ 5 mm. For optimal management, these features should be comprehensively evaluated to determine the initial surgical approach for PTC patients.

show abstract

Section: Discussionmentioning

confidence: 99%

Predicting factors of central lymph node metastasis and BRAFV600E mutation in Chinese population with papillary thyroid carcinoma

et al. 2021

View full text Add to dashboard Cite

show abstract

“…All FNA performers received certification and support from the cytology and ultrasound technician. The final FNA results were verified by at least one experienced cytopathologist (21). Nodules smaller than 10 mm in size would receive US-guided FNA when at least one of the following requirements was met: Nodular location was close to thyroid capsule, trachea, or nerve; Patients had a family history of thyroid cancer or a history of radiotherapy; Enlargement of neck LN was observed by US or neck LN was suspicious of cancer metastasis.…”

Section: Fna Technique and Categorizationmentioning

confidence: 99%

The influence of nodule size on the aggressiveness of thyroid carcinoma varies with patient’s age

Meng¹,

Wang²,

Zhang³

et al. 2021

Gland Surg

Self Cite

View full text Add to dashboard Cite

Background: Thyroid nodule size is one of the key parameters that determines the operative approach for thyroid carcinoma. It is necessary to evaluate the influence of nodule size on the aggressiveness of thyroid carcinoma. The eighth edition of staging system has updated the prognostic age cutoff from 45 to 55 years old. It is needed to re-evaluate the difference in aggressiveness of thyroid carcinoma between younger (<55 years old) and older (≥55 years old) patients. Importantly, whether the influence of nodule size on the aggressiveness of thyroid carcinoma varies according to the new age stratification remains to be explored. Methods: Medical records from patients were retrospectively reviewed. Patients with a documented thyroid ultrasonography (US), US-guided fine needle aspiration (FNA) and histopathology were included. The risks of unfavorable events such as central-compartment neck lymph node (CLN) metastasis, lateral-compartment neck lymph node (LLN) metastasis and gross extrathyroidal extension (ETE) were analyzed in four subsets of patients according to size and age.Results: Large nodule size (≥10 mm) significantly increased the frequencies of CLN metastasis, LLN metastasis and gross ETE (P<0.05). The frequency of CLN metastasis was significantly higher in younger patients compared with that in older ones. Logistic regression analysis recognized large nodule size as an independent risk factor for all CLN metastasis (OR: 3.304, 95% CI: 2.473-4.415), LLN metastasis (OR: 9.673, 95% CI: 4.542-20.597), and gross ETE (OR: 2.430, 95% CI: 1.508-3.916). Secondly, in younger patients, frequencies of all CLN metastasis, LLN metastasis and gross ETE were significantly higher in nodules ≥10 mm than in nodules <10 mm (P<0.001). However, in older patients, no significant difference was found in the frequencies of LLN metastasis or gross ETE between nodules <10 mm and ≥10 mm. Logistic regression analysis showed, in younger patients, large nodule size was an independent risk factor for all CLN

show abstract

“…The nomogram is a useful and popular visual graph that illustrates the probability of occurrence of predicted events so as to guide clinical treatments [12][13][14]. Several past studies have reported that nomogram has good risk-prediction ability for post-surgical survival prognostication in patients with malignant tumors [15,16].…”

Section: Introductionmentioning

confidence: 99%

A nomogram model to predict the venous thromboembolism risk after surgery in patients with gynecological tumors

Wang

Wei

Zhou

et al. 2021

Thrombosis Research

View full text Add to dashboard Cite

Venous thromboembolism (VTE) is a common post-surgical complication of gynecological malignant tumors that has serious implications on the prognosis and quality-of-life of patients. However, there exists only a few recognized specific evaluation models for the occurrence of VTE after gynecological malignant tumor surgery. We aimed to establish a nomogram model that could predict the probability of post-surgical VTE in patients with gynecological malignancies. Methods: We collected the clinical information of 673 patients who underwent surgery for gynecological malignant tumor in our hospital between January 2014 and May 2020. To reduce bias from confounding factors between groups, a 1:1 ratio propensity score matching (PSM) method was performed; meanwhile, univariate and multivariate analyses were applied to analyze the risk factors of VTE after surgeries. A nomogram prediction model was accordingly established and internally validated. Results: The predictors contained in the nomogram model included age, D-dimer value, body mass index (BMI), and surgical approach. The C-index of the model was 0.721 (95% confidence interval: 0.644-0.797), with good discrimination and calibration effect. The internally verified C-index value was 0.916. Decision curve analysis confirmed that the nomogram model was clinically useful when the incidence of thrombosis in patients was 10-75%. Conclusions: Considering the risk factors of VTE after surgery for gynecological malignant tumor, a highperformance nomogram model was established and then validated to provide individual risk assessment and guide treatment decisions.

show abstract

A nomogram to predict skip metastasis in papillary thyroid cancer

Cited by 36 publications

References 27 publications

Predicting factors of central lymph node metastasis and BRAFV600E mutation in Chinese population with papillary thyroid carcinoma

Predicting factors of central lymph node metastasis and BRAFV600E mutation in Chinese population with papillary thyroid carcinoma

The influence of nodule size on the aggressiveness of thyroid carcinoma varies with patient’s age

A nomogram model to predict the venous thromboembolism risk after surgery in patients with gynecological tumors

Contact Info

Product

Resources

About