Ovarian cancer symptoms, routes to diagnosis and survival – population cohort study in the ‘no screen’ arm of the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS)

This article consists of a citation of a published article describing research funded by the Health Technology Assessment programme under project number 16/46/01, and is provided as as part of the complete record of research outputs for this project. The original publication is available at: https://doi.org/10.1016/j.ygyno.2020.05.002 Objective There are widespread efforts to increase symptom awareness of ‘pelvic/abdominal pain, increased abdominal size/bloating, difficulty eating/feeling full and urinary frequency/urgency’ in an attempt to diagnose ovarian cancer earlier. Long-term survival of women with these symptoms adjusted for known prognostic factors is yet to be determined. This study explored the association of symptoms, routes and interval to diagnosis and long-term survival in a population-based cohort of postmenopausal women diagnosed with invasive epithelial tubo-ovarian cancer (iEOC) in the ‘no screen’ (control) UKCTOCS arm. Methods Of 101,299 women in the control arm, 574 were confirmed on outcome review to have iEOC between randomisation (2001–2005) and 31 December 2014. Data was extracted from medical notes and electronic records. A multivariable model was fitted for individual symptoms, time interval from symptom onset to diagnosis, route to diagnosis, speciality, morphological Type, age at diagnosis, year of diagnosis (period effect), stage, primary treatment, and residual disease. Results Women presenting with symptoms listed in the NICE guidelines (HR1.48, 95%CI1.16–1.89, p = 0.001) or the modified Goff Index (HR1·68, 95%CI1·32–2.13, p < 0.0001) had significantly worse survival than those who did not. Each additional presenting symptom decreased survival (HR1·20, 95%CI1·12–1·28, p < 0.0001). In multivariable analysis, in addition to advanced stage, increasing residual disease and inadequate primary treatment, abdominal pain and loss of appetite/feeling full were significantly associated with increased mortality. Conclusions The ovarian cancer symptom indices identify postmenopausal women with a poorer prognosis. This study however cannot exclude the possibility of better outcomes in those who are aware and act on their symptoms. Funding This publication was funded by the Health Technology Assessment programme as a part of award number 16/46/01. This article reports on one component of the research award Long term impact of screening on ovarian cancer mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS). For more information about this research please view the award page [https://fundingawards.nihr.ac.uk/award/16/46/01] DOI https://doi.org/10.1016/j.ygyno.2020.05.002

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Publication Details

Journal
Health Technology Assessment
Published
2025-03-01
DOI
https://doi.org/10.3310/tmny7993
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Ovarian cancer symptoms, routes to diagnosis and survival – population cohort study in the ‘no screen’ arm of the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS)

Health Technology Assessment
Ovarian cancer diagnosis and treatment
article

Ovarian cancer symptoms, routes to diagnosis and survival – population cohort study in the ‘no screen’ arm of the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS)

article en

Abstract

This article consists of a citation of a published article describing research funded by the Health Technology Assessment programme under project number 16/46/01, and is provided as as part of the complete record of research outputs for this project. The original publication is available at: https://doi.org/10.1016/j.ygyno.2020.05.002 Objective There are widespread efforts to increase symptom awareness of ‘pelvic/abdominal pain, increased abdominal size/bloating, difficulty eating/feeling full and urinary frequency/urgency’ in an attempt to diagnose ovarian cancer earlier. Long-term survival of women with these symptoms adjusted for known prognostic factors is yet to be determined. This study explored the association of symptoms, routes and interval to diagnosis and long-term survival in a population-based cohort of postmenopausal women diagnosed with invasive epithelial tubo-ovarian cancer (iEOC) in the ‘no screen’ (control) UKCTOCS arm. Methods Of 101,299 women in the control arm, 574 were confirmed on outcome review to have iEOC between randomisation (2001–2005) and 31 December 2014. Data was extracted from medical notes and electronic records. A multivariable model was fitted for individual symptoms, time interval from symptom onset to diagnosis, route to diagnosis, speciality, morphological Type, age at diagnosis, year of diagnosis (period effect), stage, primary treatment, and residual disease. Results Women presenting with symptoms listed in the NICE guidelines (HR1.48, 95%CI1.16–1.89, p = 0.001) or the modified Goff Index (HR1·68, 95%CI1·32–2.13, p < 0.0001) had significantly worse survival than those who did not. Each additional presenting symptom decreased survival (HR1·20, 95%CI1·12–1·28, p < 0.0001). In multivariable analysis, in addition to advanced stage, increasing residual disease and inadequate primary treatment, abdominal pain and loss of appetite/feeling full were significantly associated with increased mortality. Conclusions The ovarian cancer symptom indices identify postmenopausal women with a poorer prognosis. This study however cannot exclude the possibility of better outcomes in those who are aware and act on their symptoms. Funding This publication was funded by the Health Technology Assessment programme as a part of award number 16/46/01. This article reports on one component of the research award Long term impact of screening on ovarian cancer mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS). For more information about this research please view the award page [https://fundingawards.nihr.ac.uk/award/16/46/01] DOI https://doi.org/10.1016/j.ygyno.2020.05.002

Health Technology AssessmentVol. 29(10)
Brighton and Sussex Medical School (GB), Harvard University (US), University of Sussex (GB), Barts Health NHS Trust (GB), UNSW Sydney (AU), Massachusetts General Hospital (US), MRC Clinical Trials Unit at UCL (GB), CREATe Centre (GB), University College London (GB), London School of Economics and Political Science (GB)
Health Technology Assessment Programme
Openalex Percentile: Top 92%
Ovarian cancer diagnosis and treatment
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