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Nov 7, 2015 (publication date) through Nov 23, 2024
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Publication Name
World Journal of Gastroenterology
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1007-9327
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Kawai K, Sunami E, Yamaguchi H, Ishihara S, Kazama S, Nozawa H, Hata K, Kiyomatsu T, Tanaka J, Tanaka T, Nishikawa T, Kitayama J, Watanabe T. Nomograms for colorectal cancer: A systematic review. World J Gastroenterol 2015; 21(41): 11877-11886 [PMID: 26557011 DOI: 10.3748/wjg.v21.i41.11877] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v21/i41/11877.htm |
| Number | Citing Articles |
| 1 |
Dóra Révész, Sander van Kuijk, Floortje Mols, Fränzel J.B. van Duijnhoven, Renate M. Winkels, IJmert Kant, Piet A. Van Den Brandt, Luc J. Smits, Stéphanie O. Breukink, Ellen Kampman, Sandra Beijer, Matty P. Weijenberg, Martijn Bours. External Validation and Updating of Prediction Models for Estimating the 1-Year Risk of Low Health-Related Quality of Life in Colorectal Cancer Survivors. SSRN Electronic Journal 2022; doi: 10.2139/ssrn.4107083
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| 2 |
Zhen-yu Zhang, Qi-feng Luo, Xiao-wei Yin, Zhen-ling Dai, Shiva Basnet, Hai-yan Ge. Nomograms to predict survival after colorectal cancer resection without preoperative therapy. BMC Cancer 2016; 16(1) doi: 10.1186/s12885-016-2684-4
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| 3 |
Xiangze Wang, Minghui Zhao, Chensheng Zhang, Haobo Chen, Xingyu Liu, Yang An, Lu Zhang, Xiangqian Guo. Establishment and Clinical Application of the Nomogram Related to Risk or Prognosis of Hepatocellular Carcinoma: A Review. Journal of Hepatocellular Carcinoma 2023; : 1389 doi: 10.2147/JHC.S417123
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| 4 |
Yukihide Kanemitsu, Tomofumi Uotani, Shunsuke Tsukamoto, Hideki Ueno, Megumi Ishiguro, Soichiro Ishihara, Koji Komori, Kenichi Sugihara. Nomograms Predicting Survival, Recurrence and Beneficiary Identification of Adjuvant Chemotherapy in Treatment-naïve Patients with Rectal Cancer who Underwent Upfront Curative Resection: A multi-institutional study. Annals of Surgery Open 2024; 5(4): e508 doi: 10.1097/AS9.0000000000000508
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Izel Ozmen, Vera E.M. Grupa, Sergei Bedrikovetski, Nagendra N. Dudi-Venkata, Daitlin E. Huisman, Muriël Reudink, Gerrit D. Slooter, Tarik Sammour, Hidde M. Kroon, Freek Daams. Risk Nomogram Does Not Predict Anastomotic Leakage After Colon Surgery Accurately: Results of the Multi-center LekCheck Study. Journal of Gastrointestinal Surgery 2022; 26(4): 900 doi: 10.1007/s11605-021-05119-6
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Qian Qiu, Siju Li, Yong Chen, Xiaofeng Yan, Song Yang, Shi Qiu, Anzhou Peng, Yaokai Chen. Development, assessment and validation of a novel prediction nomogram model for risk identification of tracheobronchial tuberculosis in patients with pulmonary tuberculosis. BMJ Open Respiratory Research 2023; 10(1): e001781 doi: 10.1136/bmjresp-2023-001781
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| 7 |
Yanan Ma, Aimei Zhao, Jinjuan Zhang, Sumei Wang, Jiandong Zhang. Analysis of Clinical Characteristics and Prognosis with Cervical Adenosquamous Carcinoma: a Large Population-Based Study. Future Oncology 2021; 17(13): 1637 doi: 10.2217/fon-2020-1156
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Xiaoshuang Liu, Li Sha, Cheng Huang, Xiancheng Kong, Feihu Yan, Xiaohui Shi, Xuefeng Tang. A nomogram prediction model for lymph node metastasis risk after neoadjuvant chemoradiotherapy in rectal cancer patients based on SEER database. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1098087
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Hao Wang, Dong Liu, Hanyang Liang, Zhengqing Ba, Yue Ma, Haobo Xu, Juan Wang, Tianjie Wang, Tao Tian, Jingang Yang, Xiaojin Gao, Shubin Qiao, Yanling Qu, Zhuoxuan Yang, Wei Guo, Min Zhao, Huiping Ao, Xiaodong Zheng, Jiansong Yuan, Weixian Yang. A Nomogram for Predicting Survival in Patients With Colorectal Cancer Incorporating Cardiovascular Comorbidities. Frontiers in Cardiovascular Medicine 2022; 9 doi: 10.3389/fcvm.2022.875560
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| 10 |
Dóra Révész, Sander M.J. van Kuijk, Floortje Mols, Fränzel J.B. van Duijnhoven, Renate M. Winkels, IJmert Kant, Piet A. van den Brandt, Luc J. Smits, Stéphanie O. Breukink, Ellen Kampman, Sandra Beijer, Matty P. Weijenberg, Martijn J.L. Bours. External validation and updating of prediction models for estimating the 1-year risk of low health-related quality of life in colorectal cancer survivors. Journal of Clinical Epidemiology 2022; 152: 127 doi: 10.1016/j.jclinepi.2022.09.019
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| 11 |
Zvia Agur, Karin Halevi-Tobias, Yuri Kogan, Ofer Shlagman. Employing dynamical computational models for personalizing cancer immunotherapy. Expert Opinion on Biological Therapy 2016; 16(11): 1373 doi: 10.1080/14712598.2016.1223622
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| 12 |
Jon D. Vogel, Cagla Eskicioglu, Martin R. Weiser, Daniel L. Feingold, Scott R. Steele. The American Society of Colon and Rectal Surgeons Clinical Practice Guidelines for the Treatment of Colon Cancer. Diseases of the Colon & Rectum 2017; 60(10): 999 doi: 10.1097/DCR.0000000000000926
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| 13 |
Michitaka Honda, Koji Oba, Chikuma Hamada, Sotaro Sadahiro, Shuhei Mayanagi, Mitsuro Kanda, Kosuke Kashiwabara, Junichi Sakamoto, Shigetoyo Saji, Takaki Yoshikawa. Prognostic Nomogram for Colorectal Cancer after Radical Resection in Japanese population. Annals of Cancer Research and Therapy 2016; 24(2): 56 doi: 10.4993/acrt.24.56
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| 14 |
Ting Xue, Hui Peng, Qiaoling Chen, Manman Li, Shaofeng Duan, Feng Feng. A CT-Based Radiomics Nomogram in Predicting the Postoperative Prognosis of Colorectal Cancer: A Two-center Study. Academic Radiology 2022; 29(11): 1647 doi: 10.1016/j.acra.2022.02.006
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| 15 |
Daniel Boakye, Viola Walter, Lina Jansen, Uwe M. Martens, Jenny Chang-Claude, Michael Hoffmeister, Hermann Brenner. Magnitude of the Age-Advancement Effect of Comorbidities in Colorectal Cancer Prognosis. Journal of the National Comprehensive Cancer Network 2020; 18(1): 59 doi: 10.6004/jnccn.2019.7346
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| 16 |
Atsuhiko Sumii, Koya Hida, Yoshiharu Sakai, Nobuaki Hoshino, Daisuke Nishizaki, Tomonori Akagi, Meiki Fukuda, Tomohiro Yamaguchi, Ichiro Takemasa, Takuya Tokunaga, Jun Watanabe, Masahiko Watanabe. Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer. International Journal of Clinical Oncology 2022; 27(7): 1173 doi: 10.1007/s10147-022-02157-1
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| 17 |
Longkai He, Xiaotong Wang, Ya Jin, Weipeng Xu, Jun Lyu, Yi Guan, Jingchao Wu, Shasha Han, Guosheng Liu. A Prognostic Nomogram for Predicting Overall Survival in Pediatric
Wilms Tumor Based on an Autophagy-related Gene Signature. Combinatorial Chemistry & High Throughput Screening 2022; 25(8): 1385 doi: 10.2174/1386207324666210826143727
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| 18 |
Zeynep GÜÇ. Halp Score: A Simple and Easily Accessible Index for Predicting Prognosis in Colorectal Cancer Patients. Genel Tıp Dergisi 2022; 32(5): 577 doi: 10.54005/geneltip.1179659
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| 19 |
Pierosandro Tagliaferri, Mariamena Arbitrio, Antonella Ierardi, Domenico Ciliberto, Maria Teresa Di Martino, Pierfrancesco Tassone. Liquid Biopsy in Cancer Patients. Current Clinical Pathology 2017; : 7 doi: 10.1007/978-3-319-55661-1_2
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| 20 |
Syed Nabeel Zafar, Chung-Yuan Hu, Rebecca A. Snyder, Amanda Cuddy, Y. Nancy You, Lisa M. Lowenstein, Robert J. Volk, George J. Chang. Predicting Risk of Recurrence After Colorectal Cancer Surgery in the United States: An Analysis of a Special Commission on Cancer National Study. Annals of Surgical Oncology 2020; 27(8): 2740 doi: 10.1245/s10434-020-08238-7
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| 21 |
Dóra Révész, Sander M. J. van Kuijk, Floortje Mols, Fränzel J. B. van Duijnhoven, Renate M. Winkels, Huub Hoofs, I Jmert Kant, Luc J. Smits, Stéphanie O. Breukink, Lonneke V. van de Poll-Franse, Ellen Kampman, Sandra Beijer, Matty P. Weijenberg, Martijn J. L. Bours. Development and internal validation of prediction models for colorectal cancer survivors to estimate the 1-year risk of low health-related quality of life in multiple domains. BMC Medical Informatics and Decision Making 2020; 20(1) doi: 10.1186/s12911-020-1064-9
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| 22 |
Sara Lahoz, Adela Rodríguez, Laia Fernández, Teresa Gorría, Reinaldo Moreno, Francis Esposito, Helena Oliveres, Santiago Albiol, Tamara Saurí, David Pesantez, Gisela Riu, Miriam Cuatrecasas, Pedro Jares, Leire Pedrosa, Estela Pineda, Antonio Postigo, Antoni Castells, Aleix Prat, Joan Maurel, Jordi Camps. Mutational Status of SMAD4 and FBXW7 Affects Clinical Outcome in TP53–Mutated Metastatic Colorectal Cancer. Cancers 2022; 14(23): 5921 doi: 10.3390/cancers14235921
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| 23 |
Guo-Tian Ruan, Meng-Meng Song, Kang-Ping Zhang, Hai-Lun Xie, Qi Zhang, Xi Zhang, Meng Tang, Xiao-Wei Zhang, Yi-Zhong Ge, Ming Yang, Li-Chen Zhu, Han-Ping Shi. A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter study. Nutrition & Metabolism 2023; 20(1) doi: 10.1186/s12986-022-00719-8
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| 24 |
Michitaka Honda, Koji Oba, Takashi Akiyoshi, Hiromichi Maeda, Kosuke Kashiwabara, Mitsuro Kanda, Shuhei Mayanagi, Toru Aoyama, Chikuma Hamada, Sotaro Sadahiro, Yosuke Fukunaga, Masashi Ueno, Junichi Sakamoto, Shigetoyo Saji, Takaki Yoshikawa. Development and validation of a prognostic nomogram for colorectal cancer after radical resection based on individual patient data from three large-scale phase III trials. Oncotarget 2017; 8(58): 99150 doi: 10.18632/oncotarget.21845
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| 25 |
Guo Wu, Jun-Gang Liu, Xiao-Liang Huang, Chun-Yin Wei, Franco Jeen PC, Wei-Shun Xie, Shao-Mei Chen, Chu-Qiao Zhang, Wei-Zhong Tang. A nomogram for preoperative prediction of lymphatic infiltration in colorectal cancer. Medicine 2019; 98(52): e18498 doi: 10.1097/MD.0000000000018498
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| 26 |
Zhengbing Wang, Yawei Wang, Yan Yang, Yi Luo, Jiangtao Liu, Yingjie Xu, Xuan Liu. A competing-risk nomogram to predict cause-specific death in elderly patients with colorectal cancer after surgery (especially for colon cancer). World Journal of Surgical Oncology 2020; 18(1) doi: 10.1186/s12957-020-1805-3
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| 27 |
N. C. A. Vermeer, Y. Backes, H. S. Snijders, E. Bastiaannet, G. J. Liefers, L. M. G. Moons, C. J. H. van de Velde, K. C. M. J. Peeters. National cohort study on postoperative risks after surgery for submucosal invasive colorectal cancer. BJS Open 2019; 3(2): 210 doi: 10.1002/bjs5.50125
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| 28 |
Huihong Jiang, Huaguang Li, Ajian Li, Erjiang Tang, Dan Xu, Yin Chen, Yong Zhang, Min Tang, Zhiyong Zhang, Xiaxing Deng, Moubin Lin. Preoperative combined hemoglobin, albumin, lymphocyte and platelet levels predict survival in patients with locally advanced colorectal cancer. Oncotarget 2016; 7(44): 72076 doi: 10.18632/oncotarget.12271
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| 29 |
Jungang Liu, Xiaoliang Huang, Wenkang Yang, Chan Li, Zhengtian Li, Chuqiao Zhang, Shaomei Chen, Guo Wu, Weishun Xie, Chunyin Wei, Chao Tian, Lingxu Huang, Franco Jeen, Xianwei Mo, Weizhong Tang. Nomogram for predicting overall survival in stage II‐III colorectal cancer. Cancer Medicine 2020; 9(7): 2363 doi: 10.1002/cam4.2896
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| 30 |
Jieyun Zhang, Zhe Gong, Yiwei Gong, Weijian Guo. Development and validation of nomograms for prediction of overall survival and cancer-specific survival of patients with Stage IV colorectal cancer. Japanese Journal of Clinical Oncology 2019; 49(5): 438 doi: 10.1093/jjco/hyz035
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| 31 |
Beiqun Zhao, Rodney A. Gabriel, Florin Vaida, Nicole E. Lopez, Samuel Eisenstein, Bryan M. Clary. Predicting Overall Survival in Patients with Metastatic Rectal Cancer: a Machine Learning Approach. Journal of Gastrointestinal Surgery 2020; 24(5): 1165 doi: 10.1007/s11605-019-04373-z
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| 32 |
Rui-zhe Zheng, Jiang Xie, Shui-qiang Zhang, Wen Li, Bo Dong, Yin-wei Cong, Zhi-qiang Wang, Giuseppe Nigri. Log Odds of Positive Lymph Node- (LODDS-) Based Competing-Risk Nomogram for Predicting Prognosis of Resected Rectal Cancer: A Development and Validation Study. Gastroenterology Research and Practice 2020; 2020: 1 doi: 10.1155/2020/9706732
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| 33 |
You-Ran Liu, Yan Wang, Juan Chen, Shan Luo, Xiaomei Ji, Huadong Wang, Li Zhang. Developing and Validating a Nomogram for Non-Adherence to Inhaler Therapy Among Elderly Chronic Obstructive Pulmonary Disease Patients Based on the Social Ecological Model. Patient Preference and Adherence 2024; : 1741 doi: 10.2147/PPA.S472625
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Zhen-yu Zhang, Wei Gao, Qi-feng Luo, Xiao-wei Yin, Shiva Basnet, Zhen-ling Dai, Hai-yan Ge. A nomogram improves AJCC stages for colorectal cancers by introducing CEA, modified lymph node ratio and negative lymph node count. Scientific Reports 2016; 6(1) doi: 10.1038/srep39028
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Yongfu Xiong, Wenxian You, Min Hou, Linglong Peng, He Zhou, Zhongxue Fu. Nomogram Integrating Genomics with Clinicopathologic Features Improves Prognosis Prediction for Colorectal Cancer. Molecular Cancer Research 2018; 16(9): 1373 doi: 10.1158/1541-7786.MCR-18-0063
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Huihong Jiang, Erjiang Tang, Dan Xu, Ying Chen, Yong Zhang, Min Tang, Yihua Xiao, Zhiyong Zhang, Xiaxing Deng, Huaguang Li, Moubin Lin. Development and validation of nomograms for predicting survival in patients with non-metastatic colorectal cancer. Oncotarget 2017; 8(18): 29857 doi: 10.18632/oncotarget.16167
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Yan‐Yan Li, Chun Yang, Pingting Zhou, Shijie Zhang, Yuan Yao, Dong Li. Genome‐scale analysis to identify prognostic markers and predict the survival of lung adenocarcinoma. Journal of Cellular Biochemistry 2018; 119(11): 8909 doi: 10.1002/jcb.27144
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Robert Glynne-Jones, Stuart Glynne-Jones. The concept and use of the neoadjuvant rectal score as a composite endpoint in rectal cancer. The Lancet Oncology 2021; 22(7): e314 doi: 10.1016/S1470-2045(21)00053-X
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Xiao-Min Zhai, Jia-Jia Dong, Hong-Lei Zhang, Jun Yuan, Xue-Jing Hao, Rui Guo. Development and Validation of a Nomogram to Predict the Risk of Tinnitus Severity in Patients With Unilateral Subjective Tinnitus. Ear, Nose & Throat Journal 2023; doi: 10.1177/01455613231200762
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