SynthesisCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2013
Predicting cancer prognosis using interactive online tools: a systematic review and implications for cancer care providers.
Synthesis in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Communicating prognosis to women with early breast cancer - overview of prediction tools and the development and pilot testing of a decision aid.BMC health services research · 2019Pooled it
- The impact of a web-based prognostic calculator on prognostic confidence in outpatient palliative care.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Article
- Development and validation of risk of CPS decline (RCD): a new prediction tool for worsening cognitive performance among home care clients in Canada.BMC geriatrics · 2023Article
- A New Personalized Oral Cancer Survival Calculator to Estimate Risk of Death From Both Oral Cancer and Other Causes.JAMA otolaryngology-- head & neck surgery · 2023Article
- myBeST-A Web-Based Survival Prognostic Tool for Women with Breast Cancer in Malaysia: Development Process and Preliminary Validation Study.International journal of environmental research and public health · 2023Article
- Article
- Patient-centered outcomes for gastrointestinal cancer care: a scoping review protocol.BMJ open · 2022Article
- Prognostic disclosure in oncology - current communication models: a scoping review.BMJ supportive & palliative care · 2022Article
- A scoping review of interactive and personalized web-based clinical tools to support treatment decision making in breast cancer.Breast (Edinburgh, Scotland) · 2022Article
- Exploring Cancer Survivor Needs and Preferences for Communicating Personalized Cancer Statistics From Registry Data: Qualitative Multimethod Study.JMIR cancer · 2021Article
- Development and validation of a prediction model of poor performance status and severe symptoms over time in cancer patients (PROVIEW+).Palliative medicine · 2021Article
- Development and Assessment of a Model for Predicting Individualized Outcomes in Patients With Oropharyngeal Cancer.JAMA network open · 2021Article
- Development and Validation of a Prognostic Survival Model With Patient-Reported Outcomes for Patients With Cancer.JAMA network open · 2020Article
- Radiation therapy for the elderly-change of concepts in breast cancer?Translational cancer research · 2020Review
- Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults.Diagnostic and prognostic research · 2020Article
- Opportunities for personalised follow-up care among patients with breast cancer: A scoping review to identify preference-sensitive decisions.European journal of cancer care · 2019Article
- Communicating uncertainty in cancer prognosis: A review of web-based prognostic tools.Patient education and counseling · 2019Review
- Individualized prognostic calculators in the precision oncology era.Oncotarget · 2019Article
- Individualized survival prediction for patients with oropharyngeal cancer in the human papillomavirus era.Cancer · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.