Literature DB >> 26557011

Nomograms for colorectal cancer: A systematic review.

Kazushige Kawai1, Eiji Sunami1, Hironori Yamaguchi1, Soichiro Ishihara1, Shinsuke Kazama1, Hiroaki Nozawa1, Keisuke Hata1, Tomomichi Kiyomatsu1, Junichiro Tanaka1, Toshiaki Tanaka1, Takeshi Nishikawa1, Joji Kitayama1, Toshiaki Watanabe1.   

Abstract

AIM: To assist in the selection of suitable nomograms for obtaining desired predictions in daily clinical practice.
METHODS: We conducted electronic searches for journal articles on colorectal cancer (CRC)-associated nomograms using the search terms colon/rectal/colorectal/nomogram. Of 174 articles initially found, we retrieved 28 studies in which a nomogram for CRC was developed.
RESULTS: We discuss the currently available CRC-associated nomograms, including those that predict the oncological prognosis, the short-term outcome of treatments, such as surgery or neoadjuvant chemoradiotherapy, and the future development of CRC. Developing nomograms always presents a dilemma. On the one hand, the desire to cover as wide a patient range as possible tends to produce nomograms that are too complex and yet have C-indexes that are not sufficiently high. Conversely, confining the target patients might impair the clinical applicability of constructed nomograms.
CONCLUSION: The information provided in this review should be of use in selecting a nomogram suitable for obtaining desired predictions in daily clinical practice.

Entities:  

Keywords:  Cancer; Colon; Nomograms; Prognosis; Rectum

Mesh:

Year:  2015        PMID: 26557011      PMCID: PMC4631985          DOI: 10.3748/wjg.v21.i41.11877

Source DB:  PubMed          Journal:  World J Gastroenterol        ISSN: 1007-9327            Impact factor:   5.742


  43 in total

1.  Nomograms for predicting local recurrence, distant metastases, and overall survival for patients with locally advanced rectal cancer on the basis of European randomized clinical trials.

Authors:  Vincenzo Valentini; Ruud G P M van Stiphout; Guido Lammering; Maria Antonietta Gambacorta; Maria Cristina Barba; Marek Bebenek; Franck Bonnetain; Jean-Francois Bosset; Krzysztof Bujko; Luca Cionini; Jean-Pierre Gerard; Claus Rödel; Aldo Sainato; Rolf Sauer; Bruce D Minsky; Laurence Collette; Philippe Lambin
Journal:  J Clin Oncol       Date:  2011-07-11       Impact factor: 44.544

2.  Indication for neoadjuvant chemotherapy in patients with colorectal liver metastases based on a nomogram that predicts disease-free survival.

Authors:  Masayuki Okuno; Etsuro Hatano; Satoru Seo; Kojiro Taura; Kentaro Yasuchika; Akio Nakajima; Takefumi Yazawa; Hiroaki Furuyama; Hiroshi Kawamoto; Shintaro Yagi; Ryuta Nishitai; Takahisa Fujikawa; Akira Arimoto; Masazumi Zaima; Tsunehiro Yoshimura; Hiroaki Terajima; Satoshi Kaihara; Dai Manaka; Akira Tanaka; Shinji Uemoto
Journal:  J Hepatobiliary Pancreat Sci       Date:  2014-08-25       Impact factor: 7.027

3.  Nomogram prediction of metachronous colorectal neoplasms in patients with colorectal cancer.

Authors:  Kazushige Kawai; Soichiro Ishihara; Hironori Yamaguchi; Eiji Sunami; Joji Kitayama; Hiroaki Miyata; Toshiaki Watanabe
Journal:  Ann Surg       Date:  2015-05       Impact factor: 12.969

4.  Nomogram to predict anastomotic leakage after laparoscopic anterior resection with intracorporeal rectal transection and double-stapling technique anastomosis for rectal cancer.

Authors:  Han Hui Yao; Feng Shao; Qiang Huang; Yang Wu; Zhi Qiang Zhu; Wei Liang
Journal:  Hepatogastroenterology       Date:  2014 Jul-Aug

5.  External validation of two nomograms for predicting patient survival after hepatic resection for metastatic colorectal cancer.

Authors:  Yuji Takakura; Masazumi Okajima; Yukihide Kanemitsu; Shintaro Kuroda; Hiroyuki Egi; Takao Hinoi; Hirotaka Tashiro; Hideki Ohdan
Journal:  World J Surg       Date:  2011-10       Impact factor: 3.352

6.  Hsa-miR-31-3p expression is linked to progression-free survival in patients with KRAS wild-type metastatic colorectal cancer treated with anti-EGFR therapy.

Authors:  Gilles Manceau; Sandrine Imbeaud; Raphaële Thiébaut; François Liébaert; Karine Fontaine; Francis Rousseau; Bérengère Génin; Delphine Le Corre; Audrey Didelot; Marc Vincent; Jean-Baptiste Bachet; Benoist Chibaudel; Olivier Bouché; Bruno Landi; Frédéric Bibeau; Karen Leroy; Frédérique Penault-Llorca; Jean-Luc Van Laethem; Pieter Demetter; Sabine Tejpar; Simona Rossi; Neda Mosakhani; Pia Osterlund; Raija Ristamäki; Virinder Sarhadi; Sakari Knuutila; Valérie Boige; Thierry André; Pierre Laurent-Puig
Journal:  Clin Cancer Res       Date:  2014-04-25       Impact factor: 12.531

7.  Postoperative nomogram for disease-specific survival after an R0 resection for gastric carcinoma.

Authors:  Michael W Kattan; Martin S Karpeh; Madhu Mazumdar; Murray F Brennan
Journal:  J Clin Oncol       Date:  2003-10-01       Impact factor: 44.544

8.  Predicting organ space surgical site infection with a nomogram.

Authors:  Luiz F de Campos-Lobato; Luiz F Campos-Lobato; Brian Wells; Elizabeth Wick; Kevin Pronty; Ravi Kiran; Feza Remzi; Jon D Vogel
Journal:  J Gastrointest Surg       Date:  2009-09-16       Impact factor: 3.452

9.  Neutrophil/lymphocyte ratio predicts chemotherapy outcomes in patients with advanced colorectal cancer.

Authors:  W Chua; K A Charles; V E Baracos; S J Clarke
Journal:  Br J Cancer       Date:  2011-03-29       Impact factor: 7.640

10.  Nomogram to predict ypN status after chemoradiation in patients with locally advanced rectal cancer.

Authors:  E Jwa; J H Kim; S Han; J-h Park; S-B Lim; J C Kim; Y S Hong; T W Kim; C S Yu
Journal:  Br J Cancer       Date:  2014-06-26       Impact factor: 7.640

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  19 in total

1.  Predicting Overall Survival in Patients with Metastatic Rectal Cancer: a Machine Learning Approach.

Authors:  Beiqun Zhao; Rodney A Gabriel; Florin Vaida; Nicole E Lopez; Samuel Eisenstein; Bryan M Clary
Journal:  J Gastrointest Surg       Date:  2019-08-29       Impact factor: 3.452

2.  Nomograms for predicting overall and cancer-specific survival in patients with papillary renal cell carcinoma: a population-based study using SEER database.

Authors:  Haicui Yan; Xiyi Wei; Aimin Wu; Yeqin Sha; Xiao Li; Feng Qi
Journal:  Transl Androl Urol       Date:  2020-06

3.  External Validation of a Nomogram Developed for Predicting Overall Survival in Gastric Cancer Patients with Insufficient Number of Examined Lymph Nodes.

Authors:  Mehmet Kubat; Mustafa Omer Yazicioglu; Bahadir Osman Bozkirli; Riza Haldun Gundogdu
Journal:  Sisli Etfal Hastan Tip Bul       Date:  2022-03-28

4.  Nomograms to predict survival after colorectal cancer resection without preoperative therapy.

Authors:  Zhen-Yu Zhang; Qi-Feng Luo; Xiao-Wei Yin; Zhen-Ling Dai; Shiva Basnet; Hai-Yan Ge
Journal:  BMC Cancer       Date:  2016-08-19       Impact factor: 4.430

5.  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.

Authors:  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
Journal:  Oncotarget       Date:  2017-10-12

6.  Development and validation of nomograms for predicting survival in patients with non-metastatic colorectal cancer.

Authors:  Huihong Jiang; Erjiang Tang; Dan Xu; Ying Chen; Yong Zhang; Min Tang; Yihua Xiao; Zhiyong Zhang; Xiaxing Deng; Huaguang Li; Moubin Lin
Journal:  Oncotarget       Date:  2017-05-02

7.  Preoperative combined hemoglobin, albumin, lymphocyte and platelet levels predict survival in patients with locally advanced colorectal cancer.

Authors:  Huihong Jiang; Huaguang Li; Ajian Li; Erjiang Tang; Dan Xu; Yin Chen; Yong Zhang; Min Tang; Zhiyong Zhang; Xiaxing Deng; Moubin Lin
Journal:  Oncotarget       Date:  2016-11-01

8.  A Refined Staging Model for Resectable Pancreatic Ductal Adenocarcinoma Incorporating Examined Lymph Nodes, Location of Tumor and Positive Lymph Nodes Ratio.

Authors:  Yunda Song; Zhenxin Chen; Luohai Chen; Chaobin He; Xin Huang; Fangting Duan; Jun Wang; Xiangming Lao; Shengping Li
Journal:  J Cancer       Date:  2018-09-08       Impact factor: 4.207

9.  A Prognostic Nomogram for Cervical Cancer after Surgery from SEER Database.

Authors:  Ce Wang; Chunyan Yang; Wenjie Wang; Bairong Xia; Kang Li; Fengyu Sun; Yan Hou
Journal:  J Cancer       Date:  2018-10-10       Impact factor: 4.207

10.  A nomogram improves AJCC stages for colorectal cancers by introducing CEA, modified lymph node ratio and negative lymph node count.

Authors:  Zhen-Yu Zhang; Wei Gao; Qi-Feng Luo; Xiao-Wei Yin; Shiva Basnet; Zhen-Ling Dai; Hai-Yan Ge
Journal:  Sci Rep       Date:  2016-12-12       Impact factor: 4.379

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