Literature DB >> 22366561

Adjuvant! Online is overoptimistic in predicting survival of Asian breast cancer patients.

Nirmala Bhoo-Pathy1, Cheng-Har Yip, Mikael Hartman, Nakul Saxena, Nur Aishah Taib, Gwo-Fuang Ho, Lai-Meng Looi, Awang M Bulgiba, Yolanda van der Graaf, Helena M Verkooijen.   

Abstract

BACKGROUND: Adjuvant! Online is a free web-based tool which predicts 10-year breast cancer outcomes and the efficacy of adjuvant therapy in patients with breast cancer. As its prognostic performance has only been validated in high income Caucasian populations, we validated the model in a middle income Asian setting.
METHODS: Within the University Malaya Hospital-Based Breast Cancer Registry, all 631 women who were surgically treated for invasive non-metastatic breast cancer between 1993 and 2000 were identified. The discriminative performance of Adjuvant! Online was tested using receiver operating characteristic (ROC) analysis. Calibration of the model was evaluated by comparing predicted 10-year overall survival with observed 10-year survival.
FINDINGS: Adjuvant! Online was fairly capable in discriminating between good and poor survivors, as attested by the area under ROC curve of 0.73 (95% Confidence Interval: 0.69-0.77). Overall, Adjuvant! Online predicted 10 year survival (70.3%) was significantly higher than the observed 10 year survival (63.6%, difference of 6.7%; 95% CI: 3.0-10.4%). The model was especially overoptimistic in women under 40 years and in women of Malay ethnicity, where survival was overestimated by approximately 20% (95% CI: 9.8-29.8%) and 15% (95% CI: 5.3-24.5%) respectively.
INTERPRETATION: Even though Adjuvant! Online is capable of discriminating between good and poor survivors, it systematically overestimates survival. These findings suggest that the model requires adaptation prior to use in Asian settings.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22366561     DOI: 10.1016/j.ejca.2012.01.034

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  26 in total

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2.  The treatment option of progressive disease in breast cancer during neoadjuvant chemotherapy: a single-center experience.

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Journal:  Cancer Biol Ther       Date:  2020-05-18       Impact factor: 4.742

3.  Personalized Prognostic Prediction Models for Breast Cancer Recurrence and Survival Incorporating Multidimensional Data.

Authors:  Xifeng Wu; Yuanqing Ye; Carlos H Barcenas; Wong-Ho Chow; Qing H Meng; Mariana Chavez-MacGregor; Michelle A T Hildebrandt; Hua Zhao; Xiangjun Gu; Yang Deng; Elizabeth Wagar; Francisco J Esteva; Debu Tripathy; Gabriel N Hortobagyi
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6.  Prediction of lymph node involvement in patients with breast tumors measuring 3-5 cm in a middle-income setting: the role of CancerMath.

Authors:  E N Pijnappel; N Bhoo-Pathy; J Suniza; M H See; G H Tan; C H Yip; M Hartman; N A Taib; H M Verkooijen
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7.  Underestimated survival predictions of the prognostic tools Adjuvant! Online and PREDICT in BRCA1-associated breast cancer patients.

Authors:  Grigorijs Plakhins; Arvids Irmejs; Andris Gardovskis; Signe Subatniece; Inta Liepniece-Karele; Gunta Purkalne; Uldis Teibe; Genadijs Trofimovics; Edvins Miklasevics; Janis Gardovskis
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8.  Prediction models for breast cancer prognosis among Asian women.

Authors:  Run Fan; Yufan Chen; Sarah Nechuta; Hui Cai; Kai Gu; Liang Shi; Pingping Bao; Yu Shyr; Xiao-Ou Shu; Fei Ye
Journal:  Cancer       Date:  2021-03-11       Impact factor: 6.921

9.  The predictive accuracy of PREDICT: a personalized decision-making tool for Southeast Asian women with breast cancer.

Authors:  Hoong-Seam Wong; Shridevi Subramaniam; Zarifah Alias; Nur Aishah Taib; Gwo-Fuang Ho; Char-Hong Ng; Cheng-Har Yip; Helena M Verkooijen; Mikael Hartman; Nirmala Bhoo-Pathy
Journal:  Medicine (Baltimore)       Date:  2015-02       Impact factor: 1.889

10.  Accuracy validation of adjuvant! online in Taiwanese breast cancer patients--a 10-year analysis.

Authors:  Kuo Yao-Lung; Chen Dar-Ren; Chang Tsai-Wang
Journal:  BMC Med Inform Decis Mak       Date:  2012-09-17       Impact factor: 2.796

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