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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]
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 SurvivorsSSRN Electronic Journal 2022;  doi: 10.2139/ssrn.4107083
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 therapyBMC Cancer 2016; 16(1) doi: 10.1186/s12885-016-2684-4
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 ReviewJournal of Hepatocellular Carcinoma 2023; : 1389 doi: 10.2147/JHC.S417123
4
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 StudyJournal of Gastrointestinal Surgery 2022; 26(4): 900 doi: 10.1007/s11605-021-05119-6
5
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 tuberculosisBMJ Open Respiratory Research 2023; 10(1): e001781 doi: 10.1136/bmjresp-2023-001781
6
Yanan Ma, Aimei Zhao, Jinjuan Zhang, Sumei Wang, Jiandong Zhang. Analysis of clinical characteristics and prognosis with cervical adenosquamous carcinoma: a large population-based studyFuture Oncology 2021; 17(13): 1637 doi: 10.2217/fon-2020-1156
7
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 databaseFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1098087
8
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 ComorbiditiesFrontiers in Cardiovascular Medicine 2022; 9 doi: 10.3389/fcvm.2022.875560
9
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 survivorsJournal of Clinical Epidemiology 2022; 152: 127 doi: 10.1016/j.jclinepi.2022.09.019
10
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
11
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
12
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
13
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 StudyAcademic Radiology 2022; 29(11): 1647 doi: 10.1016/j.acra.2022.02.006
14
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
15
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 cancerInternational Journal of Clinical Oncology 2022; 27(7): 1173 doi: 10.1007/s10147-022-02157-1
16
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 SignatureCombinatorial Chemistry & High Throughput Screening 2022; 25(8): 1385 doi: 10.2174/1386207324666210826143727
17
Zeynep GÜÇ. Halp Score: A Simple and Easily Accessible Index for Predicting Prognosis in Colorectal Cancer PatientsGenel Tıp Dergisi 2022; 32(5): 577 doi: 10.54005/geneltip.1179659
18
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
19
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
20
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
21
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 CancerCancers 2022; 14(23): 5921 doi: 10.3390/cancers14235921
22
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 studyNutrition & Metabolism 2023; 20(1) doi: 10.1186/s12986-022-00719-8
23
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
24
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
25
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
26
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
27
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
28
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
29
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
30
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
31
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 StudyGastroenterology Research and Practice 2020; 2020: 1 doi: 10.1155/2020/9706732
32
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
33
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
34
Yongfu Xiong, Wenxian You, Min Hou, Linglong Peng, He Zhou, Zhongxue Fu. Nomogram Integrating Genomics with Clinicopathologic Features Improves Prognosis Prediction for Colorectal CancerMolecular Cancer Research 2018; 16(9): 1373 doi: 10.1158/1541-7786.MCR-18-0063
35
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
36
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
37
Robert Glynne-Jones, Stuart Glynne-Jones. The concept and use of the neoadjuvant rectal score as a composite endpoint in rectal cancerThe Lancet Oncology 2021; 22(7): e314 doi: 10.1016/S1470-2045(21)00053-X
38
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 TinnitusEar, Nose & Throat Journal 2023;  doi: 10.1177/01455613231200762
39
Georgiana Bianca Constantin, Dorel Firescu, Raul Mihailov, Iulian Constantin, Ioana Anca Ștefanopol, Daniel Andrei Iordan, Bogdan Ioan Ștefănescu, Rodica Bîrlă, Eugenia Panaitescu. A Novel Clinical Nomogram for Predicting Overall Survival in Patients with Emergency Surgery for Colorectal CancerJournal of Personalized Medicine 2023; 13(4): 575 doi: 10.3390/jpm13040575
40
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 2021; 70(5): 884 doi: 10.1136/gutjnl-2020-321799
41
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
42
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
43
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
44
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
45
Chengxin Xu, Fengfeng Zhang, WanRong Cheng, Yanbo Zhu. Prediction models for overall and cancer-specific survival in patients with metastatic early-onset colorectal cancer: a population-based studyInternational Journal of Colorectal Disease 2023; 38(1) doi: 10.1007/s00384-023-04369-x