Literature DB >> 23956026

Predicting cancer prognosis using interactive online tools: a systematic review and implications for cancer care providers.

Borsika A Rabin1, Bridget Gaglio, Tristan Sanders, Larissa Nekhlyudov, James W Dearing, Sheana Bull, Russell E Glasgow, Alfred Marcus.   

Abstract

Cancer prognosis is of keen interest for patients with cancer, their caregivers, and providers. Prognostic tools have been developed to guide patient-physician communication and decision-making. Given the proliferation of prognostic tools, it is timely to review existing online cancer prognostic tools and discuss implications for their use in clinical settings. Using a systematic approach, we searched the Internet, Medline, and consulted with experts to identify existing online prognostic tools. Each was reviewed for content and format. Twenty-two prognostic tools addressing 89 different cancers were identified. Tools primarily focused on prostate (n = 11), colorectal (n = 10), breast (n = 8), and melanoma (n = 6), although at least one tool was identified for most malignancies. The input variables for the tools included cancer characteristics (n = 22), patient characteristics (n = 18), and comorbidities (n = 9). Effect of therapy on prognosis was included in 15 tools. The most common predicted outcome was cancer-specific survival/mortality (n = 17). Only a few tools (n = 4) suggested patients as potential target users. A comprehensive repository of online prognostic tools was created to understand the state-of-the-art in prognostic tool availability and characteristics. Use of these tools may support communication and understanding about cancer prognosis. Dissemination, testing, refinement of existing, and development of new tools under different conditions are needed.

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Year:  2013        PMID: 23956026      PMCID: PMC3832108          DOI: 10.1158/1055-9965.EPI-13-0513

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  30 in total

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Journal:  Semin Oncol       Date:  2010-02       Impact factor: 4.929

Review 2.  Physician/patient decision aids for adjuvant therapy.

Authors:  Timothy J Whelan; Charles Loprinzi
Journal:  J Clin Oncol       Date:  2005-03-10       Impact factor: 44.544

3.  Smartphone apps as a source of cancer information: changing trends in health information-seeking behavior.

Authors:  Ambarish Pandey; Sayeedul Hasan; Divyanshu Dubey; Sasmit Sarangi
Journal:  J Cancer Educ       Date:  2013-03       Impact factor: 2.037

4.  Giving honest information to patients with advanced cancer maintains hope.

Authors:  Thomas J Smith; Lindsay A Dow; Enid Virago; James Khatcheressian; Laurel J Lyckholm; Robin Matsuyama
Journal:  Oncology (Williston Park)       Date:  2010-05       Impact factor: 2.990

5.  Assessing values for health: numeracy matters.

Authors:  S Woloshin; L M Schwartz; M Moncur; S Gabriel; A N Tosteson
Journal:  Med Decis Making       Date:  2001 Sep-Oct       Impact factor: 2.583

Review 6.  Comparisons of nomograms and urologists' predictions in prostate cancer.

Authors:  Phillip L Ross; Claudia Gerigk; Mithat Gonen; Ofer Yossepowitch; Ilias Cagiannos; Pramod C Sogani; Peter T Scardino; Michael W Kattan
Journal:  Semin Urol Oncol       Date:  2002-05

7.  Complexities in prognostication in advanced cancer: "to help them live their lives the way they want to".

Authors:  Elizabeth B Lamont; Nicholas A Christakis
Journal:  JAMA       Date:  2003-07-02       Impact factor: 56.272

8.  Toward the 'tipping point': decision aids and informed patient choice.

Authors:  Annette M O'Connor; John E Wennberg; France Legare; Hilary A Llewellyn-Thomas; Benjamin W Moulton; Karen R Sepucha; Andrea G Sodano; Jaime S King
Journal:  Health Aff (Millwood)       Date:  2007 May-Jun       Impact factor: 6.301

Review 9.  The impact of mobile handheld technology on hospital physicians' work practices and patient care: a systematic review.

Authors:  Mirela Prgomet; Andrew Georgiou; Johanna I Westbrook
Journal:  J Am Med Inform Assoc       Date:  2009-08-28       Impact factor: 4.497

Review 10.  Comparison of nomograms with other methods for predicting outcomes in prostate cancer: a critical analysis of the literature.

Authors:  Shahrokh F Shariat; Pierre I Karakiewicz; Nazareno Suardi; Michael W Kattan
Journal:  Clin Cancer Res       Date:  2008-07-15       Impact factor: 12.531

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  20 in total

Review 1.  Communicating uncertainty in cancer prognosis: A review of web-based prognostic tools.

Authors:  Mark Harrison; Paul K J Han; Borsika Rabin; Madelaine Bell; Hannah Kay; Luke Spooner; Stuart Peacock; Nick Bansback
Journal:  Patient Educ Couns       Date:  2018-12-12

Review 2.  Institute of medicine recommendations for improving the quality of cancer care: what do they mean for the general internist?

Authors:  Larissa Nekhlyudov; Neil Wenger
Journal:  J Gen Intern Med       Date:  2014-06-21       Impact factor: 5.128

3.  Individualized risk prediction of outcomes for oral cavity cancer patients.

Authors:  Victoria Prince; Emily L Bellile; Yilun Sun; Gregory T Wolf; Connor W Hoban; Andrew G Shuman; Jeremy M G Taylor
Journal:  Oral Oncol       Date:  2016-11-23       Impact factor: 5.337

4.  Providing clinicians and patients with actual prognosis: cancer in the context of competing causes of death.

Authors:  Nadia Howlader; Angela B Mariotto; Steven Woloshin; Lisa M Schwartz
Journal:  J Natl Cancer Inst Monogr       Date:  2014-11

5.  The Surveillance, Epidemiology, and End Results Cancer Survival Calculator SEER*CSC: validation in a managed care setting.

Authors:  Eric J Feuer; Borsika A Rabin; Zhaohui Zou; Zhuoqiao Wang; Xiaoqin Xiong; Jennifer L Ellis; John F Steiner; Laurie Cynkin; Larissa Nekhlyudov; Elizabeth Bayliss; Benjamin F Hankey
Journal:  J Natl Cancer Inst Monogr       Date:  2014-11

6.  Integrated analysis of the clinical consequence and associated gene expression of ALK in ALK-positive human cancers.

Authors:  Toshifumi Tsukahara
Journal:  Heliyon       Date:  2022-07-09

7.  Individualized outcome prognostication for patients with laryngeal cancer.

Authors:  Connor W Hoban; Lauren J Beesley; Emily L Bellile; Yilun Sun; Matthew E Spector; Gregory T Wolf; Jeremy M G Taylor; Andrew G Shuman
Journal:  Cancer       Date:  2017-11-07       Impact factor: 6.860

8.  Individualized survival prediction for patients with oropharyngeal cancer in the human papillomavirus era.

Authors:  Lauren J Beesley; Peter G Hawkins; Lahin M Amlani; Emily L Bellile; Keith A Casper; Steven B Chinn; Avraham Eisbruch; Michelle L Mierzwa; Matthew E Spector; Gregory T Wolf; Andrew G Shuman; Jeremy M G Taylor
Journal:  Cancer       Date:  2018-10-06       Impact factor: 6.860

9.  Variability in Predictions from Online Tools: A Demonstration Using Internet-Based Melanoma Predictors.

Authors:  Emily C Zabor; Daniel Coit; Jeffrey E Gershenwald; Kelly M McMasters; James S Michaelson; Arnold J Stromberg; Katherine S Panageas
Journal:  Ann Surg Oncol       Date:  2018-02-22       Impact factor: 5.344

10.  Development and Assessment of a Model for Predicting Individualized Outcomes in Patients With Oropharyngeal Cancer.

Authors:  Lauren J Beesley; Andrew G Shuman; Michelle L Mierzwa; Emily L Bellile; Benjamin S Rosen; Keith A Casper; Mohannad Ibrahim; Sarah M Dermody; Gregory T Wolf; Steven B Chinn; Matthew E Spector; Robert J Baatenburg de Jong; Emilie A C Dronkers; Jeremy M G Taylor
Journal:  JAMA Netw Open       Date:  2021-08-02
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