Investigating the Impact of Ultra-Radical Surgery on Survival in Advanced Ovarian Cancer Using Population-Based Data in a Multicentre UK Study Article Swipe
Carole Cummins
,
Satyam Kumar
,
Joanna Long
,
Janos Balega
,
Tim Broadhead
,
Timothy J. Duncan
,
Richard J. Edmondson
,
Christina Fotopoulou
,
Rosalind Glasspool
,
Désirée Kolomainen
,
Simon Leeson
,
Ranjit Manchanda
,
Jo Morrison
,
Raj Naik
,
John Tidy
,
Nicholas Wood
,
Sudha Sundar
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/cancers14184362
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/cancers14184362
We investigated URS and impact on survival in whole patient cohorts with AOC treated within gynaecological cancer centres that participated in the previously presented SOCQER 2 study. National cancer registry datasets were used to identify FIGO Stage 3,4 and unknown stage patients from 11 cancer centres that had previously participated in the SOCQER2 study. Patient outcomes’ association with surgical ethos were evaluated using logistic regression and Cox proportional hazards. Centres were classified into three groups based on their surgical complexity scores (SCS); those practicing mainly low complexity, (5/11 centres with >70% low SCS procedures, 759 patients), mainly intermediate (3/11, 35–50% low SCS, 356 patients), or mainly high complexity surgery (3/11, >35% high SCS, 356 patients). Surgery rates were 43.2% vs. 58.4% vs. 60.9%. across mainly low, intermediate and high SCS centres, respectively, p < 0.001. Combined surgery and chemotherapy rates were 39.2% vs. 51.8% vs. 38.3% p < 0.000 across mainly low, intermediate and high complexity groups, respectively. Median survival was 23.1 (95% CI 19.0 to 27.2) vs. 22.0 (95% CI 17.6 to 26.3) vs. 17.9 months (95% CI 15.7 to 20.1), p = 0.043 in mainly high SCS, intermediate, and low SCS centres, respectively. In an age and deprivation adjusted model, compared to patients in the high SCS centres, patients in the low SCS group had an HR of 1.21 (95% CI 1.03 to 1.40) for death. Mainly high/intermediate SCS centres have significantly higher surgery rates and better survival at a population level. Centres that practice mainly low complexity surgery should change practice. This study provides support for the utilization of URS for patients with advanced OC.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/cancers14184362
- https://www.mdpi.com/2072-6694/14/18/4362/pdf?version=1663506941
- OA Status
- gold
- Cited By
- 16
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4296796056
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4296796056Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/cancers14184362Digital Object Identifier
- Title
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Investigating the Impact of Ultra-Radical Surgery on Survival in Advanced Ovarian Cancer Using Population-Based Data in a Multicentre UK StudyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-09-07Full publication date if available
- Authors
-
Carole Cummins, Satyam Kumar, Joanna Long, Janos Balega, Tim Broadhead, Timothy J. Duncan, Richard J. Edmondson, Christina Fotopoulou, Rosalind Glasspool, Désirée Kolomainen, Simon Leeson, Ranjit Manchanda, Jo Morrison, Raj Naik, John Tidy, Nicholas Wood, Sudha SundarList of authors in order
- Landing page
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https://doi.org/10.3390/cancers14184362Publisher landing page
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https://www.mdpi.com/2072-6694/14/18/4362/pdf?version=1663506941Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2072-6694/14/18/4362/pdf?version=1663506941Direct OA link when available
- Concepts
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Ovarian cancer, Medicine, Population, Cancer, Surgery, Oncology, Gynecology, Internal medicine, Environmental healthTop concepts (fields/topics) attached by OpenAlex
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-
16Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7, 2024: 4, 2023: 5Per-year citation counts (last 5 years)
- References (count)
-
26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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