scholarly journals Peer Review #2 of "Nomograms for predicting overall survival and cancer-specific survival in young patients with pancreatic cancer in the US based on the SEER database (v0.2)"

2020 ◽  
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Peer Review ◽  
Young Patients ◽  
Seer Database ◽  
Cancer Specific Survival ◽  
The Us

scholarly journals Nomograms for predicting overall survival and cancer-specific survival in young patients with pancreatic cancer in the US based on the SEER database

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8958 ◽  
Author(s):  
Min Shi ◽  
Biao Zhou ◽  
Shu-Ping Yang
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Young Patients ◽  
Seer Database ◽  
Training Set ◽  
Cancer Specific Survival ◽  
Factors Affecting ◽  
Ajcc Stage ◽  
Validation Set ◽  
Cox Analysis

Background The incidence of young patients with pancreatic cancer (PC) is on the rise, and there is a lack of models that could effectively predict their prognosis. The purpose of this study was to construct nomograms for predicting the overall survival (OS) and cancer-specific survival (CSS) of young patients with PC. Methods PC patients younger than 50 years old from 2004 to 2015 in the Surveillance, Epidemiology, and End Results (SEER) database were selected and randomly divided into training set and validation set. Univariable and forward stepwise multivariable Cox analysis was used to determine the independent factors affecting OS. The Fine and Gray competing risk regression model was used to determine the independent factors affecting CSS. We used significant variables in the training set to construct nomograms predicting prognosis. The discrimination and calibration power of models were evaluated by concordance index (C-index), calibration curve and 10-flod cross-validation. Results A total of 4,146 patients were selected. Multivariable Cox analysis showed that gender, race, grade, pathological types, AJCC stage and surgery were independent factors affecting OS. The C-index of the nomogram predicting OS in training and validation was 0.733 (average = 0.731, 95% CI [0.724–0.738]) and 0.742 (95% CI [0.725–0.759]), respectively. Competing risk analysis showed that primary site, pathological types, AJCC stage and surgery were independent factors affecting CSS. The C-index of the nomogram predicting CSS in training and validation set was 0.792 (average = 0.765, 95% CI [0.742–0.788]) and 0.776 (95% CI [0.773–0.779]), respectively. C-index based on nomogram was better in training and validation set than that based on AJCC stage. Calibration curves showed that these nomograms could accurately predict the 1-, 3- and 5-year OS and CSS both in training set and validation set. Conclusions The nomograms could effectively predict OS and CSS in young patients with PC, which help clinicians more accurately and quantitatively judge the prognosis of individual patients.

scholarly journals Postoperative Nomogram for predicting Cancer-Specific and Overall Survival Among Patients with Medullary Thyroid Cancer

2020 ◽  
Author(s):  
Li Chen ◽  
Yizeng Wang ◽  
Ke Zhao ◽  
Yuyun Wang ◽  
Dongyang Li ◽  
...  
Keyword(s):  
Overall Survival ◽  
Lymph Nodes ◽  
Total Thyroidectomy ◽  
Cox Regression ◽  
Test Group ◽  
Training Group ◽  
Seer Database ◽  
Cancer Specific Survival ◽  
Lymph Nodes Dissection ◽  
Neck Lymph Nodes

Abstract Background Medullary thyroid carcinoma (MTC) accounts for 1% -2% of thyroid cancer in the United States based on the latest Surveillance, Epidemiology, and End Results (SEER) data, this study aimed to construct a comprehensive predictive nomogram based on various clinical variables in MTC patients who undergo total thyroidectomy and neck lymph nodes dissection.Methods Data regarding 1237 MTC patients who undergo total thyroidectomy and neck lymph nodes dissection from 2004 to 2015 were obtained from the SEER database. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent predictors. These independent factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year overall survival and cancer-specific survival among these MTC patients.Result A total of 1237 patients enrolled from the SEER database were randomly divided into the training group (n = 867) and the test group (n = 370). Univariate and multivariate Cox regression analyses were used to identify meaningful independent prognostic factors (P <0.05). Tumor size, age, metastasis status, and LNR were selected as independent predictors of overall survival (OS) and cancer-specific survival (CSS). Finally, two nomograms were developed, the predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the training group were 0.828 and 0.904, respectively. The predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the test group were 0.813 and 0.828.Conclusion Nomograms constructed by using various clinical variables can make more comprehensive and accurate predictions for MTC patients who undergo total thyroidectomy and neck lymph nodes. These predictive nomograms help identify postoperative high-risk MTC patients and facilitate patient counseling on clinical prognosis and follow-up.

scholarly journals Postoperative Nomogram for Predicting Cancer-Specific and Overall Survival among Patients with Medullary Thyroid Cancer

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Li Chen ◽  
Yizeng Wang ◽  
Ke Zhao ◽  
Yuyun Wang ◽  
Xianghui He
Keyword(s):  
Overall Survival ◽  
Lymph Nodes ◽  
Total Thyroidectomy ◽  
Cox Regression ◽  
Test Group ◽  
Training Group ◽  
Seer Database ◽  
Cancer Specific Survival ◽  
Lymph Nodes Dissection ◽  
Neck Lymph Nodes

Background. Medullary thyroid carcinoma (MTC) accounts for 1%–2% of thyroid cancer in the United States based on the latest Surveillance, Epidemiology, and End Results (SEER) data, and this study aimed to construct a comprehensive predictive nomogram based on various clinical variables in MTC patients who underwent total thyroidectomy and neck lymph nodes dissection. Methods. Data regarding 1,237 MTC patients who underwent total thyroidectomy and neck lymph nodes dissection from 2004 to 2015 were obtained from the SEER database. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent predictors. These independent factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year overall survival, and cancer-specific survival among these MTC patients. Result. A total of 1,237 patients enrolled from the SEER database were randomly divided into the training group (n = 867) and the test group (n = 370). Univariate and multivariate Cox regression analyses were used to identify meaningful independent prognostic factors ( P < 0.05 ). Tumor size, age, metastasis status, and LNR were selected as independent predictors of overall survival (OS) and cancer-specific survival (CSS). Finally, two nomograms were developed, and the predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the training group was 0.828 and 0.904, respectively. The predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the test group was 0.813 and 0.828. Conclusion. Nomograms constructed by using various clinical variables can make more comprehensive and accurate predictions for MTC patients who underwent total thyroidectomy and neck lymph nodes. These predictive nomograms help identify postoperative high-risk MTC patients and facilitate patient counseling on clinical prognosis and follow-up.

Prediction of Minor Salivary Gland Carcinoma: A Novel Nomogram and Risk Classification System for Overall Survival and Cancer-Specific Survival

2020 ◽  
pp. 019459982093832
Author(s):  
Ling-feng lan ◽  
Chen-kai Gao ◽  
Chao-wu Ma
Keyword(s):  
Overall Survival ◽  
Salivary Gland ◽  
Minor Salivary Gland ◽  
Proportional Hazard ◽  
Seer Database ◽  
Concordance Index ◽  
Salivary Gland Carcinoma ◽  
Cancer Specific Survival ◽  
Cox Proportional Hazard ◽  
Gland Carcinoma

Objective Minor salivary gland carcinoma (MiSGC) is rare, and the understanding of this disease is insufficient. This study aimed to identify independent risk factors and develop a nomogram for evaluating the overall survival (OS) and cancer-specific survival (CSS) of patients with MiSGC. Study Design Retrospective cohort study. Setting SEER database (Surveillance, Epidemiology, and End Results). Subjects and Methods We collected data from patients diagnosed with MiSGC between 2004 and 2015 from the SEER database. According to patient registration, all patients were randomly allocated to training sets and validation sets (2:1). Then, Kaplan-Meier product limit curves and Cox proportional hazard regressions were performed to estimate the prognostic effect of variables. Nomograms based on Cox proportional hazard regressions were established to estimate 3- and 5-year OS and CSS. Finally, the nomogram was developed by the training set, and validation was performed with the concordance index, calibration curves, and decision curve analyses. Results In total, 1787 MiSGC cases were registered in SEER. The concordance index for internal validation of OS and CSS prediction was 0.842 and 0.816; that of external validation was 0.871 and 0.831. The calibration plots showed good consistency between nomogram prediction and actual survival. The decision curve analysis showed substantial net benefits of the new predictive model. Conclusions We constructed nomograms and a corresponding risk classification system predicting the OS and CSS of patients with MiSGC. These tools can generate simple-to-use clinical risk grouping and determine the relationship between adjuvant therapy and active surveillance.

Long-term outcomes of preoperative radiotherapy in locally advanced breast cancer: Analysis of Surveillance, Epidemiology, and End Results (SEER) database.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12600-e12600
Author(s):  
Zhe Pan ◽  
Zhiyuan Yao ◽  
Mingkai Huang ◽  
Junfeng Huang ◽  
Xiang Ao
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Advanced Breast Cancer ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Advanced Breast ◽  
Multimodality Therapy ◽  
Breast Cancer Specific Survival ◽  
Seer Database ◽  
Cancer Specific Survival

e12600 Background: Currently the treatment paradigm for locally advanced breast cancer (LABC) is multimodality therapy with neoadjuvant systematic treatment, surgery and postoperative radiation therapy (RT). However, with improving outcomes from systematic therapy, the survival rates remain unpromising, which leads to the investigation of the concept of preoperative RT in LABC due to the potential advantages including a possible tumor downstaging and better cosmetic outcomes. We evaluated the overall survival (OS) and breast cancer specific survival (BCSS) of preoperative versus postoperative RT in LABC patients. Methods: Patients diagnosed with non-inflammatory LABC (defined as T3 N1, T4 N0, any N2 or N3, and M0) who received RT before or after surgery between 2010 and 2015 were identified using the SEER database. OS and BCSS were analyzed using Kaplan-Meier method and multivariate Cox proportional hazards model. Results: Among 19249 patients with LABC, 140 (0.7%) received preoperative RT and 19109 (99.3%) received postoperative RT. Overall, 5-year survival and BCSS are 59% and 63% in the preoperative RT group while 77% and 80% in the postoperative RT group. In all patients, treatment with preoperative RT was significantly associated with poor OS (HR 1.82, 95%CI 1.25 to 2.45, P < 0.001) and BCSS (HR 2.00, 95%CI 1.46 to 2.73, P < 0.001) after adjustment for other clinically relevant factors. However, there were no significant difference in terms of both OS and BCSS in ER+ (OS: HR 1.44, 95%CI 0.91 to 2.27, P = 0.12; BCSS: HR 1.55, 95%CI 0.94 to 2.54, P = 0.08) and HER2+ patients (OS: HR 1.33, 95%CI 0.55 to 3.22, P = 0.53; BCSS: HR 1.64, 95%CI 0.67 to 3.97, P = 0.28). Conclusions: Overall, preoperative RT in LABC may reduce overall survival and breast cancer specific survival. However, OS and BCSS were independent of radiation sequence for ER+ and HER2+ patients. This finding warrants further exploration of potential mechanisms of the disparity and the definitive role of preoperative RT in the multimodality therapy of LABC patients.

scholarly journals Pancreatic Cancer: 80 Years of Surgery—Percentage and Repetitions

HPB Surgery ◽  
2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Birgir Gudjonsson
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Survival Rate ◽  
Actual Number ◽  
Resection Rate ◽  
Survival Percentage ◽  
The Us ◽  
Original Group ◽  
The Mean ◽  
Actual Survival

Objective. The incidence of pancreatic cancer is estimated to be 48,960 in 2015 in the US and projected to become the second and third leading causes of cancer-related deaths by 2030. The mean costs in 2015 may be assumed to be $79,800 per patient and for each resection $164,100. Attempt is made to evaluate the results over the last 80 years, the number of survivors, and the overall survival percentage. Methods. Altogether 1230 papers have been found which deal with resections and reveal survival information. Only 621 of these report 5-year survivors. Reservation about surgery was first expressed in 1964 and five-year survival of nonresected survivors is well documented. Results. The survival percentage depends not only on the number of survivors but also on the subset from which it is calculated. Since the 1980s the papers have mainly reported the number of resections and survival as actuarial percentages, with or without the actual number of survivors being reported. The actuarial percentage is on average 2.75 higher. Detailed information on the original group (TN), number of resections, and actual number of survivors is reported in only 10.6% of the papers. Repetition occurs when the patients from a certain year are reported several times from the same institution or include survivors from many institutions or countries. Each 5-year survivor may be reported several times. Conclusion. Assuming a 10% resection rate and correcting for repetitions and the life table percentage the overall actual survival rate is hardly more than 0.3%.

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