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Cited by in CrossRef
Number Cited Articles
1
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 therapyBMC Cancer 2016; 16(1) doi: 10.1186/s12885-016-2684-4
2
Zvia Agur, Karin Halevi-Tobias, Yuri Kogan, Ofer Shlagman. Employing dynamical computational models for personalizing cancer immunotherapyExpert Opinion on Biological Therapy 2016; 16(11): 1373 doi: 10.1080/14712598.2016.1223622
3
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 CancerDiseases of the Colon & Rectum 2017; 60(10): 999 doi: 10.1097/DCR.0000000000000926
4
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 populationAnnals of Cancer Research and Therapy 2016; 24(2): 56 doi: 10.4993/acrt.24.56
5
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 PrognosisJournal of the National Comprehensive Cancer Network 2020; 18(1): 59 doi: 10.6004/jnccn.2019.7346
6
Pierosandro Tagliaferri, Mariamena Arbitrio, Antonella Ierardi, Domenico Ciliberto, Maria Teresa Di Martino, Pierfrancesco Tassone. Liquid Biopsy in Cancer PatientsCurrent Clinical Pathology 2017; : 7 doi: 10.1007/978-3-319-55661-1_2
7
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 StudyAnnals of Surgical Oncology 2020; 27(8): 2740 doi: 10.1245/s10434-020-08238-7
8
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 domainsBMC Medical Informatics and Decision Making 2020; 20(1) doi: 10.1186/s12911-020-1064-9
9
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 trialsOncotarget 2017; 8(58): 99150 doi: 10.18632/oncotarget.21845
10
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 cancerMedicine 2019; 98(52): e18498 doi: 10.1097/MD.0000000000018498
11
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
12
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 cancerBJS Open 2019; 3(2): 210 doi: 10.1002/bjs5.50125
13
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 cancerOncotarget 2016; 7(44): 72076 doi: 10.18632/oncotarget.12271
14
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 cancerCancer Medicine 2020; 9(7): 2363 doi: 10.1002/cam4.2896
15
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 cancerJapanese Journal of Clinical Oncology 2019; 49(5): 438 doi: 10.1093/jjco/hyz035
16
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 ApproachJournal of Gastrointestinal Surgery 2020; 24(5): 1165 doi: 10.1007/s11605-019-04373-z
17
Feixia Pan, Tianhui Chen, Xiaohui Sun, Kuanrong Li, Xiyi Jiang, Asta Försti, Yimin Zhu, Maode Lai. Prognosis Prediction of Colorectal Cancer Using Gene Expression ProfilesFrontiers in Oncology 2019; 9 doi: 10.3389/fonc.2019.00252
18
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 countScientific Reports 2016; 6(1) doi: 10.1038/srep39028
19
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 cancerOncotarget 2017; 8(18): 29857 doi: 10.18632/oncotarget.16167
20
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 adenocarcinomaJournal of Cellular Biochemistry 2018; 119(11): 8909 doi: 10.1002/jcb.27144
21
Jean-Emmanuel Bibault, Daniel T Chang, Lei Xing. Development and validation of a model to predict survival in colorectal cancer using a gradient-boosted machineGut 2020; : gutjnl-2020-321799 doi: 10.1136/gutjnl-2020-321799
22
Jianyuan Song, Zhuhong Chen, Daxin Huang, Yimin Wu, Zhuangbin Lin, Pan Chi, Benhua Xu. <p>Nomogram Predicting Overall Survival of Resected Locally Advanced Rectal Cancer Patients with Neoadjuvant Chemoradiotherapy</p>Cancer Management and Research 2020; : 7375 doi: 10.2147/CMAR.S255981
23
Ellen G. Engelhardt, Dóra Révész, Hans J. Tamminga, Cornelis J.A. Punt, Mirjam Koopman, Bregje D. Onwuteaka-Philipsen, Ewout W. Steyerberg, Ilse P. Jansma, Henrica C.W. De Vet, Veerle M.H. Coupé. Clinical Usefulness of Tools to Support Decision-making for Palliative Treatment of Metastatic Colorectal Cancer: A Systematic ReviewClinical Colorectal Cancer 2018; 17(1): e1 doi: 10.1016/j.clcc.2017.06.007
24
Joon-Hyop Lee, Sohee Jung, Won Seo Park, Eun Kyung Choe, Eunyoung Kim, Rumi Shin, Seung Chul Heo, Jae Hyun Lee, Kwangsoo Kim, Young Jun Chai. Prognostic nomogram of hypoxia-related genes predicting overall survival of colorectal cancer–Analysis of TCGA databaseScientific Reports 2019; 9(1) doi: 10.1038/s41598-018-38116-y
25
Susana Roselló, Matteo Frasson, Eduardo García-Granero, Desamparados Roda, Esther Jordá, Samuel Navarro, Salvador Campos, Pedro Esclápez, Stephanie García-Botello, Blas Flor, Alejandro Espí, Carlotta Masciocchi, Vincenzo Valentini, Andrés Cervantes. Integrating Downstaging in the Risk Assessment of Patients With Locally Advanced Rectal Cancer Treated With Neoadjuvant Chemoradiotherapy: Validation of Valentini's Nomograms and the Neoadjuvant Rectal ScoreClinical Colorectal Cancer 2018; 17(2): 104 doi: 10.1016/j.clcc.2017.10.014