Walter, FM, Thompson, MJ, Wellwood, I et al. (12 more authors) (2019) Evaluating diagnostic strategies for early detection of cancer: the CanTest framework. BMC CANCER, 19. ARTN 586. ISSN 1471-2407
Abstract
Novel diagnostic triage and testing strategies to support early detection of cancer could improve clinical outcomes. Most apparently promising diagnostic tests ultimately fail because of inadequate performance in real-world, low prevalence populations such as primary care or general community populations. They should therefore be systematically evaluated before implementation to determine whether they lead to earlier detection, are cost-effective, and improve patient safety and quality of care, while minimising over-investigation and over-diagnosis.
Methods
We performed a systematic scoping review of frameworks for the evaluation of tests and diagnostic approaches.
Results
We identified 16 frameworks: none addressed the entire continuum from test development to impact on diagnosis and patient outcomes in the intended population, nor the way in which tests may be used for triage purposes as part of a wider diagnostic strategy. Informed by these findings, we developed a new framework, the ‘CanTest Framework’, which proposes five iterative research phases forming a clear translational pathway from new test development to health system implementation and evaluation.
Conclusion
This framework is suitable for testing in low prevalence populations, where tests are often applied for triage testing and incorporated into a wider diagnostic strategy. It has relevance for a wide range of stakeholders including patients, policymakers, purchasers, healthcare providers and industry.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
Keywords: | Cancer; Diagnostic strategies; Early detection; Diagnosis; Conceptual framework; Primary care |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Dentistry (Leeds) > Dentistry (Leeds) |
Funding Information: | Funder Grant number Cancer Research UK Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Jul 2019 11:36 |
Last Modified: | 11 Mar 2020 08:04 |
Status: | Published |
Publisher: | BMC |
Identification Number: | 10.1186/s12885-019-5746-6 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149135 |
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