Literature DB >> 22018885

Clinical decision aids in colon cancer: a comparison of two predictive nomograms.

Ian M Collins1, Fergal Kelleher, Charlotte Stuart, Marnie Collins, John Kennedy.   

Abstract

BACKGROUND: The risk of recurrence of colon cancer after curative surgery can be estimated by using decision aids. These aids use pathologic and patient factors to predict recurrence risk after adjuvant chemotherapy and have been validated when using clinical trial populations; however, the performance of 2 decision aids were compared by using a cohort of patients treated at a single center. PATIENTS AND METHODS: Patient data were used to estimate the risk of recurrence when using both the Adjuvant! for colon cancer and Memorial Sloan Kettering Cancer Center (MSKCC) decision aids. A receiver operator characteristic (ROC) curve analyzed the predicted chance of being disease free at 5 years against the actual outcome for each patient. This curve was then used to define cutoff points at a chosen sensitivity and specificity to stratify patients into risk groups, and survival curves for each group calculated.
RESULTS: Data on 134 patients were analyzed. The Pearson correlation between the 2 nomograms was 0.848 (P < .01). The ROC curve for the MSKCC nomogram had an area under the curve of 0.638. At a sensitivity and a specificity of 0.8, the MSKCC curve has a risk recurrence score of 69% and 84%, respectively. By using these cutoffs to stratify patients into 3 risk groups, a statistically significant difference in survival was found between high risk and low risk (P = .025).
CONCLUSION: Tools to predict risk or recurrence and estimate benefit from therapy may be enhanced in the future by using genetic profiling, but use of existing tools can help deliver a personalized approach to adjuvant therapy.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22018885     DOI: 10.1016/j.clcc.2011.07.001

Source DB:  PubMed          Journal:  Clin Colorectal Cancer        ISSN: 1533-0028            Impact factor:   4.481


  5 in total

1.  A clinical nomogram and heat map for assessing survival in patients with stage I non-small cell lung cancer after complete resection.

Authors:  Xun Cao; Yu-Zhen Zheng; Hong-Ying Liao; Xiang Guo; Yong Li; Zhen Wang; Li Zhang; Xu-Dong Wang; Xin Wang
Journal:  Ther Adv Med Oncol       Date:  2020-11-05       Impact factor: 8.168

2.  Clinical Calculator Based on Molecular and Clinicopathologic Characteristics Predicts Recurrence Following Resection of Stage I-III Colon Cancer.

Authors:  Martin R Weiser; Meier Hsu; Philip S Bauer; William C Chapman; Iván A González; Deyali Chatterjee; Deepak Lingam; Matthew G Mutch; Ajaratu Keshinro; Jinru Shia; Efsevia Vakiani; Tsuyoshi Konishi; Yoshifumi Shimada; Zsofia Stadler; Neil H Segal; Andrea Cercek; Leonard Saltz; Rona Yaeger; Anna Varghese; Maria Widmar; Iris H Wei; Emmanouil P Pappou; J Joshua Smith; Garrett Nash; Philip Paty; Julio Garcia-Aguilar; Mithat Gonen
Journal:  J Clin Oncol       Date:  2021-01-13       Impact factor: 44.544

3.  Use of a computerised decision aid (DA) to inform the decision process on adjuvant chemotherapy in patients with stage II colorectal cancer: development and preliminary evaluation.

Authors:  A Miles; I Chronakis; J Fox; A Mayer
Journal:  BMJ Open       Date:  2017-03-24       Impact factor: 2.692

4.  Contemporary Validation of a Nomogram Predicting Colon Cancer Recurrence, Revealing All-Stage Improved Outcomes.

Authors:  Tsuyoshi Konishi; Yoshifumi Shimada; Meier Hsu; Iris H Wei; Emmanouil Pappou; J Joshua Smith; Garrett M Nash; José G Guillem; Philip B Paty; Julio Garcia-Aguilar; Andrea Cercek; Rona Yaeger; Zsofia K Stadler; Neil H Segal; Anna Varghese; Leonard B Saltz; Jinru Shia; Efsevia Vakiani; Mithat Gönen; Martin R Weiser
Journal:  JNCI Cancer Spectr       Date:  2019-04-25

Review 5.  Recurrence Risk after Radical Colorectal Cancer Surgery-Less Than before, But How High Is It?

Authors:  Erik Osterman; Klara Hammarström; Israa Imam; Emerik Osterlund; Tobias Sjöblom; Bengt Glimelius
Journal:  Cancers (Basel)       Date:  2020-11-09       Impact factor: 6.639

  5 in total

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