Evidence map›Paper›PMID 33666788›Full record

ArticleInternational journal of clinical oncology2021

Development and external validation of a nomogram for predicting the effect of tumor size on cancer-specific survival of resected gallbladder cancer: a population-based study.

Yaodong Zhang, Tao Zhou, Sheng Han, Jiang Chang, Wangjie Jiang, Ziyi Wang, Changxian Li, Xiangcheng Li

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Article in International journal of clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yaodong Zhang *Key Laboratory on Living Donor Transplantation, Ministry of Health, Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Tao Zhou *Key Laboratory on Living Donor Transplantation, Ministry of Health, Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Sheng Han *Key Laboratory on Living Donor Transplantation, Ministry of Health, Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Jiang ChangKey Laboratory on Living Donor Transplantation, Ministry of Health, Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Wangjie JiangKey Laboratory on Living Donor Transplantation, Ministry of Health, Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Ziyi WangKey Laboratory on Living Donor Transplantation, Ministry of Health, Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Changxian LiKey Laboratory on Living Donor Transplantation, Ministry of Health, Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Xiangcheng LiKey Laboratory on Living Donor Transplantation, Ministry of Health, Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, Jiangsu, China. drxcli@njmu.edu.cn.

Funding

Jiangsu Provincial Key Research and Development Program BE2016789National Major Science and Technology Projects of China 2017ZX10203207-004-004National Natural Science Foundation of China 81670570National Natural Science Foundation of China 81700572Natural Science Foundation of Jiangsu Province BK20171077
6 · The paper itself

Abstract

backgroundThe impact of tumor size on account of the long-term survival results in gallbladder cancer (GBC) patients has been controversial. It is urgent necessary to identify the optimal cut-off value of tumor size in resected GBC, and we attempted to integrate tumor size with other prognostic factors into a prognostic nomogram to predict the cancer-specific survival (CSS) of GBC patients.

methods1639 patients with resected GBC were extracted from the Surveillance, Epidemiology and End Results (SEER) database. X-tile program was used to identify the optimal cut-off value of tumor size. A nomogram including tumor size was established to predict 1-, 3- and 5-year CSS based on the independent risk factors chosen by univariate and multivariable cox analyses. The precision of the nomogram for predicting survival was validated with Harrell's concordance index (C-index), calibration curves, and receiver operating characteristic curve (ROC) internally and externally.

resultsPatients with GBC were classified into 1-13 mm, 14-63 mm and 64 mm subgroup based on the optimal cut-off for tumor size in terms of CSS. The nomogram according to the independent factors was well calibrated and displayed better discrimination power than 7th tumor-node-metastasis (TNM) stage systems.

conclusionsThe results demonstrated that increased tumor size is closely associated with the worse CSS. Our novel nomogram, which outperforms the conventional TNM staging system, showed satisfactory accuracy and clinically practicality for predicting the outcome of resected GBC patients.

Indexed as

Gallbladder cancerNomogramSEERTumor size

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.