Renzi, C, Kaushal, A, Emery, J et al. (8 more authors) (2019) Comorbid chronic diseases and cancer diagnosis: disease-specific effects and underlying mechanisms. Nature Reviews Clinical Oncology, 16 (12). pp. 746-761. ISSN 1759-4774
Abstract
An earlier diagnosis is a key strategy for improving the outcomes of patients with cancer. However, achieving this goal can be challenging, particularly for the growing number of people with one or more chronic conditions (comorbidity/multimorbidity) at the time of diagnosis. Pre-existing chronic diseases might affect patient participation in cancer screening, help-seeking for new and/or changing symptoms and clinicians’ decision-making on the use of diagnostic investigations. Evidence suggests, for example, that pre-existing pulmonary, cardiovascular, neurological and psychiatric conditions are all associated with a more advanced stage of cancer at diagnosis. By contrast, hypertension and certain gastrointestinal and musculoskeletal conditions might be associated with a more timely diagnosis. In this Review, we propose a comprehensive framework that encompasses the effects of disease-specific, patient-related and health-care-related factors on the diagnosis of cancer in individuals with pre-existing chronic illnesses. Several previously postulated aetiological mechanisms (including alternative explanations, competing demands and surveillance effects) are integrated with newly identified mechanisms, such as false reassurances, or patient concerns about appearing to be a hypochondriac. By considering specific effects of chronic diseases on diagnostic processes and outcomes, tailored early diagnosis initiatives can be developed to improve the outcomes of the large proportion of patients with cancer who have pre-existing chronic conditions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2019, Springer Nature. This is an author produced version of a paper published in Nature Reviews Clinical Oncology. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Funding Information: | Funder Grant number Cancer Research UK Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Aug 2019 10:59 |
Last Modified: | 26 Jan 2020 01:38 |
Status: | Published |
Publisher: | Springer Nature |
Identification Number: | 10.1038/s41571-019-0249-6 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149667 |