Vasudev, NS orcid.org/0000-0001-8470-7481, Wilson, M, Stewart, GD et al. (13 more authors) (2020) Challenges of early renal cancer detection: symptom patterns and incidental diagnosis rate in a multicentre prospective UK cohort of patients presenting with suspected renal cancer. BMJ Open, 10 (5). e035938. ISSN 2044-6055
Abstract
Objectives: To describe the frequency and nature of symptoms in patients presenting with suspected renal cell carcinoma (RCC) and examine their reliability in achieving early diagnosis.
Design: Multicentre prospective observational cohort study.
Setting and participants: Eleven UK centres recruiting patients presenting with suspected newly diagnosed RCC. Symptoms reported by patients were recorded and reviewed. Comprehensive clinico-pathological and outcome data were also collected.
Outcomes: Type and frequency of reported symptoms, incidental diagnosis rate, metastasis-free survival and cancer-specific survival.
Results: Of 706 patients recruited between 2011 and 2014, 608 patients with a confirmed RCC formed the primary study population. The majority (60%) of patients were diagnosed incidentally. 87% of patients with stage Ia and 36% with stage III or IV disease presented incidentally. Visible haematuria was reported in 23% of patients and was commonly associated with advanced disease (49% had stage III or IV disease). Symptomatic presentation was associated with poorer outcomes, likely reflecting the presence of higher stage disease. Symptom patterns among the 54 patients subsequently found to have a benign renal mass were similar to those with a confirmed RCC.
Conclusions: Raising public awareness of RCC-related symptoms as a strategy to improve early detection rates is limited by the fact that related symptoms are relatively uncommon and often associated with advanced disease. Greater attention must be paid to the feasibility of screening strategies and the identification of circulating diagnostic biomarkers.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Author(s) (or their employer(s)) 2020. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
Dates: |
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Institution: | The University of Leeds |
Funding Information: | Funder Grant number West Yorkshire Clinical Research Networks WYCLRN RDF/045 CC 802097 |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Apr 2020 12:37 |
Last Modified: | 25 Jun 2023 22:13 |
Status: | Published |
Publisher: | BMJ Publishing Group |
Identification Number: | 10.1136/bmjopen-2019-035938 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:159538 |