A Nomogram for Predicting Lymph Nodal Metastases in Patients with Appendiceal Cancers: An Analysis of SEER Database

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A Nomogram for Predicting Lymph Nodal Metastases in Patients with Appendiceal Cancers: An Analysis of SEER Database. / Wang, Dan; Liu, Chongshun; Yan, Tingyu; Li, Chenglong; Güngör, Cenap; Yang, Qionghui; Xu, Yang; Zhao, Lilan; Pei, Qian; Tan, Fengbo; Li, Yuqiang.

In: J INVEST SURG, Vol. 34, No. 8, 08.2021, p. 924-930.

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@article{a737495bbbed4156b0e7f74240f1e08f,
title = "A Nomogram for Predicting Lymph Nodal Metastases in Patients with Appendiceal Cancers: An Analysis of SEER Database",
abstract = "BACKGROUNDS: Appendiceal cancers are usually diagnosed after appendectomy accidentally. The need for subsequent right hemicolectomy in these patients was determined by the potential risk of regional lymph node (LN) metastasis. Establishing a nomogram to forecast the potential risk of lymph node metastasis of appendiceal cancer could help in the next step of treatment.METHODS: Patients with appendiceal cancer undergoing surgery was queried in the American cancer database of Surveillance, Epidemiology and End Results database from 2004 to 2016. A nomogram was established based on Logistic regression model.RESULTS: Finally, 3,075 patients were diagnosed with appendectomy cancer from 2004 to 2016. Among them, there were 2028 (65.9%) cases with negative lymph nodes, 1047 (34.1%) cases with positive lymph nodes. Risk factors associated with lymph node metastasis include age, histological type, tissue grade, T stage, distant metastasis, and tumor size. We drew the ROC curves of the training group(0.754, P < 0.001) and the validation group (0.775, P < 0.001) respectively. C-index values of predictions were 0.772 (95%CI, 0.750-0.793) and 0.776 (95%CI, 0.746-0.807), and Brier score were 0.178 and 0.172 in training and validation group respectively. All of them showed excellent performance of the nomogram in our study.CONCLUSION: A new nomogram was created to assess the potential risk of LN metastasis in patients of appendiceal cancer by utilizing age, tumor histology, tumor pathologic grade, tumor size, T-stage, and M-stage. The nomogram could provide a strong reference for the right hemicolectomy and facilitate clinic decision.",
author = "Dan Wang and Chongshun Liu and Tingyu Yan and Chenglong Li and Cenap G{\"u}ng{\"o}r and Qionghui Yang and Yang Xu and Lilan Zhao and Qian Pei and Fengbo Tan and Yuqiang Li",
year = "2021",
month = aug,
doi = "10.1080/08941939.2019.1711467",
language = "English",
volume = "34",
pages = "924--930",
journal = "J INVEST SURG",
issn = "0894-1939",
publisher = "informa healthcare",
number = "8",

}

RIS

TY - JOUR

T1 - A Nomogram for Predicting Lymph Nodal Metastases in Patients with Appendiceal Cancers: An Analysis of SEER Database

AU - Wang, Dan

AU - Liu, Chongshun

AU - Yan, Tingyu

AU - Li, Chenglong

AU - Güngör, Cenap

AU - Yang, Qionghui

AU - Xu, Yang

AU - Zhao, Lilan

AU - Pei, Qian

AU - Tan, Fengbo

AU - Li, Yuqiang

PY - 2021/8

Y1 - 2021/8

N2 - BACKGROUNDS: Appendiceal cancers are usually diagnosed after appendectomy accidentally. The need for subsequent right hemicolectomy in these patients was determined by the potential risk of regional lymph node (LN) metastasis. Establishing a nomogram to forecast the potential risk of lymph node metastasis of appendiceal cancer could help in the next step of treatment.METHODS: Patients with appendiceal cancer undergoing surgery was queried in the American cancer database of Surveillance, Epidemiology and End Results database from 2004 to 2016. A nomogram was established based on Logistic regression model.RESULTS: Finally, 3,075 patients were diagnosed with appendectomy cancer from 2004 to 2016. Among them, there were 2028 (65.9%) cases with negative lymph nodes, 1047 (34.1%) cases with positive lymph nodes. Risk factors associated with lymph node metastasis include age, histological type, tissue grade, T stage, distant metastasis, and tumor size. We drew the ROC curves of the training group(0.754, P < 0.001) and the validation group (0.775, P < 0.001) respectively. C-index values of predictions were 0.772 (95%CI, 0.750-0.793) and 0.776 (95%CI, 0.746-0.807), and Brier score were 0.178 and 0.172 in training and validation group respectively. All of them showed excellent performance of the nomogram in our study.CONCLUSION: A new nomogram was created to assess the potential risk of LN metastasis in patients of appendiceal cancer by utilizing age, tumor histology, tumor pathologic grade, tumor size, T-stage, and M-stage. The nomogram could provide a strong reference for the right hemicolectomy and facilitate clinic decision.

AB - BACKGROUNDS: Appendiceal cancers are usually diagnosed after appendectomy accidentally. The need for subsequent right hemicolectomy in these patients was determined by the potential risk of regional lymph node (LN) metastasis. Establishing a nomogram to forecast the potential risk of lymph node metastasis of appendiceal cancer could help in the next step of treatment.METHODS: Patients with appendiceal cancer undergoing surgery was queried in the American cancer database of Surveillance, Epidemiology and End Results database from 2004 to 2016. A nomogram was established based on Logistic regression model.RESULTS: Finally, 3,075 patients were diagnosed with appendectomy cancer from 2004 to 2016. Among them, there were 2028 (65.9%) cases with negative lymph nodes, 1047 (34.1%) cases with positive lymph nodes. Risk factors associated with lymph node metastasis include age, histological type, tissue grade, T stage, distant metastasis, and tumor size. We drew the ROC curves of the training group(0.754, P < 0.001) and the validation group (0.775, P < 0.001) respectively. C-index values of predictions were 0.772 (95%CI, 0.750-0.793) and 0.776 (95%CI, 0.746-0.807), and Brier score were 0.178 and 0.172 in training and validation group respectively. All of them showed excellent performance of the nomogram in our study.CONCLUSION: A new nomogram was created to assess the potential risk of LN metastasis in patients of appendiceal cancer by utilizing age, tumor histology, tumor pathologic grade, tumor size, T-stage, and M-stage. The nomogram could provide a strong reference for the right hemicolectomy and facilitate clinic decision.

U2 - 10.1080/08941939.2019.1711467

DO - 10.1080/08941939.2019.1711467

M3 - SCORING: Journal article

C2 - 31931634

VL - 34

SP - 924

EP - 930

JO - J INVEST SURG

JF - J INVEST SURG

SN - 0894-1939

IS - 8

ER -