&lt;p&gt;Development and validation of prognostic nomograms for medullary thyroid cancer&lt;/p&gt;

Guan, Yongjun; Fang, Shi-ying; Chen, Linlin; Li, Zhengdong

doi:10.2147/ott.s196205

Cited by 7 publications

(6 citation statements)

References 33 publications

(31 reference statements)

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“…A nomogram is a graphical representation, which can be used to diagnose or predict disease occurrence or progression with multiple indicators. 13 Moreover, nomograms can provide a user-friendly interface, which has a demonstrated advantage over the traditional staging systems used to predict patient outcomes for many critical diseases. 14 , 15 As a result, nomogram has been proposed as an alternative method, or even as the new standard.…”

Section: Introductionmentioning

confidence: 99%

Prognostic Nomogram for Patients with Hepatitis E Virus-related Acute Liver Failure: A Multicenter Study in China

Wu¹,

Shi²,

Sheng³

et al. 2021

Journal of Clinical and Translational Hepatology

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Background and Aims Timely and effective assessment scoring systems for predicting the mortality of patients with hepatitis E virus-related acute liver failure (HEV-ALF) are urgently needed. The present study aimed to establish an effective nomogram for predicting the mortality of HEV-ALF patients. Methods The nomogram was based on a cross-sectional set of 404 HEV-ALF patients who were identified and enrolled from a cohort of 650 patients with liver failure. To compare the performance with that of the model for end-stage liver disease (MELD) scoring and CLIF-Consortium-acute-on-chronic liver failure score (CLIF-C-ACLFs) models, we assessed the predictive accuracy of the nomogram using the concordance index (C-index), and its discriminative ability using time-dependent receiver operating characteristics (td-ROC) analysis, respectively. Results Multivariate logistic regression analysis of the development set carried out to predict mortality revealed that γ-glutamyl transpeptidase, albumin, total bilirubin, urea nitrogen, creatinine, international normalized ratio, and neutrophil-to-lymphocyte ratio were independent factors, all of which were incorporated into the new nomogram to predict the mortality of HEV-ALF patients. The area under the curve of this nomogram for mortality prediction was 0.671 (95% confidence interval: 0.602–0.740), which was higher than that of the MELD and CLIF-C-ACLFs models. Moreover, the td-ROC and decision curves analysis showed that both discriminative ability and threshold probabilities of the nomogram were superior to those of the MELD and CLIF-C-ACLFs models. A similar trend was observed in the validation set. Conclusions The novel nomogram is an accurate and efficient mortality prediction method for HEV-ALF patients.

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Section: Introductionmentioning

confidence: 99%

Prognostic Nomogram for Patients with Hepatitis E Virus-related Acute Liver Failure: A Multicenter Study in China

Wu¹,

Shi²,

Sheng³

et al. 2021

Journal of Clinical and Translational Hepatology

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“…The Surveillance, Epidemiology, and End Results (SEER) database provides adequate clinical data on MTC patients, rendering prognostic evaluation for MTC. In a previous study, the prognosis nomogram of medullary thyroid cancer has been established, but it was not speci cally for adults, and the factors of radiotherapy and chemotherapy were not considered 12 . In the present study, relevant data were extracted from the SEER database for the identi cation of independent prognostic factors that in uenced the cancer-speci c survival (CSS) of adults MTC patients, followed by construction of a nomogram to predict CSS rate in adults MTC patients.…”

Section: Introductionmentioning

confidence: 99%

Clinical Characteristics and Nomogram for Adult Medullary Thyroid Carcinoma

Lin

Wang

et al. 2021

Preprint

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Objectives: The present study aimed to investigate the clinical characteristics and independent prognostic factors in adult patients with medullary thyroid carcinoma (MTC), followed by construction of nomogram-based prognostic prediction model for adult MTC.Methods: Relevant subjects were retrieved from Surveillance, Epidemiology, and End Results (SEER) program from January 1, 2004 through December 31, 2014. According to the multivariate analysis, the 3- and 5-year cancer-specific survival (CSS) in MTC patients was predicted by constructing a nomogram. Results: In total, 1279 patients diagnosed with primary MTC were extracted from the SEER database. The 3-, 5-and 10-year CSS rates were 91.11%, 88.32%, and 81.63%, respectively. The Cox proportional hazards model revealed that advanced AJCC stage and elderly age were independent unfavorable prognostic factors, and that surgery and radical lymph node dissection were protective prognostic factors (all P＜0.05). In addition, radiotherapy was independently related to the decreased survival. The C-index of nomogram was 0.902 (95% CI: 0.878–0.926) for the internal validations. Calibration plot revealed satisfactory agreement between the actual findings and predicted outcomes.Conclusion: The nomogram could individually and precisely predict the CSS of MTC patients, which could be used to facilitate in individualized prognostic assessment evaluation and clinical decision-making.

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“…This means that personalized treatment according to the potential prognosis of individual patients with thyroid cancer is critically important. Cox regression is currently the most widely used method to predict the risk factors for thyroid cancer [8][9][10][11]. It is used for a single end point for clinical outcome, but in fact clinical survival data are often associated with multiple outcomes, and these outcomes compete with each other, such as death due to cancer and death due to other causes.…”

Section: Introductionmentioning

confidence: 99%

Prognostic factors in patients with thyroid carcinoma: a competing-risks analysis

Wang

Yang

et al. 2020

Preprint

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Background: Cox proportional-hazards models are widely used to describe survival trends and identify prognostic factors for thyroid carcinoma, but the prognostic model is not accurate enough. This study therefore used a competing-risks model to identify the significant prognostic factors for different types of thyroid carcinoma.Methods: We identified 38,444 eligible patients in the SEER (Surveillance, Epidemiology, and End Result) database. The potential prognostic factors for thyroid carcinoma were analyzed by Cox regression analysis, cause-specific hazard function (CS) analysis, and subdistribution hazard function (SD).Results: Cox regression analysis, CS analysis and SD analysis found identifying age, being unmarried, no regional lymph nodes examined, AJCC-6 II, III, IV vs I , having follicular, medullary, anaplastic vs Papillary carcinomas, no surgery, no radioiodine, liver metastasis, and lung metastasis as the significant risk factors for thyroid carcinoma, while being female was protective factor. However, the results from the three multivariate models for being black, tumor size >1 cm, and brain metastasis were inconsistent.Conclusion: In addition to finding that age, pathological type, tumor size, AJCC-6 stage, surgery status, radioiodine status, metastasis as common factors affected the prognosis, we also found that women, being unmarried and had their regional lymph nodes examined can improve the prognosis of thyroid cancer. The discovery of these factors will provide evidences for the prevention and treatment of thyroid cancer.

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<p>Development and validation of prognostic nomograms for medullary thyroid cancer</p>

Cited by 7 publications

References 33 publications

Prognostic Nomogram for Patients with Hepatitis E Virus-related Acute Liver Failure: A Multicenter Study in China

Prognostic Nomogram for Patients with Hepatitis E Virus-related Acute Liver Failure: A Multicenter Study in China

Clinical Characteristics and Nomogram for Adult Medullary Thyroid Carcinoma

Prognostic factors in patients with thyroid carcinoma: a competing-risks analysis

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