International validation of a risk prediction algorithm for patients with malignant colorectal polyps. (7th October 2020)
- Record Type:
- Journal Article
- Title:
- International validation of a risk prediction algorithm for patients with malignant colorectal polyps. (7th October 2020)
- Main Title:
- International validation of a risk prediction algorithm for patients with malignant colorectal polyps
- Authors:
- Richards, C.
Levic, K.
Fischer, J.
Eglinton, T.
Ramsay, G.
Kumarasinghe, P.
Raftopoulos, S.
Brown, I. - Abstract:
- Abstract: Aim: The optimal management strategy for patients with endoscopically resected malignant colorectal polyps (MCP) has yet to be defined. The aim of this study was to validate a published decision‐making tool, termed the Scottish Polyp Cancer Study (SPOCS) algorithm, on a large international population. Methods: The SPOCS algorithm allocates patients to risk groups based on just two variables: the polyp resection margin and the presence of lymphovascular invasion (LVI). The risk groups are termed low (clear margin, LVI absent), medium (clear margin, LVI present) or high (involved/non‐assessable margin). The International Polyp Cancer Collaborative was formed to validate the algorithm on data from Australia, Denmark, UK and New Zealand. Results: In total, 1423 patients were included in the final dataset. 680/1423 (47.8%) underwent surgical resection and 108/680 (15.9%) had residual disease (luminal disease 8.8%, lymph node metastases 8.8%). The SPOCS algorithm classified 602 patients as low risk (in which 1.5% had residual disease), 198 patients as medium risk (in which 7.1% had residual disease) and 484 as high risk (in which 14.5% had residual disease) ( P < 0.001, χ 2 test). Receiver operating characteristic curve analysis demonstrated good accuracy of the algorithm in predicting residual disease (area under the curve 0.732, 95% CI 0.687–0.778, P < 0.001). When patients were designated as low risk, the negative predictive value was 98.5%. Conclusion: The SPOCSAbstract: Aim: The optimal management strategy for patients with endoscopically resected malignant colorectal polyps (MCP) has yet to be defined. The aim of this study was to validate a published decision‐making tool, termed the Scottish Polyp Cancer Study (SPOCS) algorithm, on a large international population. Methods: The SPOCS algorithm allocates patients to risk groups based on just two variables: the polyp resection margin and the presence of lymphovascular invasion (LVI). The risk groups are termed low (clear margin, LVI absent), medium (clear margin, LVI present) or high (involved/non‐assessable margin). The International Polyp Cancer Collaborative was formed to validate the algorithm on data from Australia, Denmark, UK and New Zealand. Results: In total, 1423 patients were included in the final dataset. 680/1423 (47.8%) underwent surgical resection and 108/680 (15.9%) had residual disease (luminal disease 8.8%, lymph node metastases 8.8%). The SPOCS algorithm classified 602 patients as low risk (in which 1.5% had residual disease), 198 patients as medium risk (in which 7.1% had residual disease) and 484 as high risk (in which 14.5% had residual disease) ( P < 0.001, χ 2 test). Receiver operating characteristic curve analysis demonstrated good accuracy of the algorithm in predicting residual disease (area under the curve 0.732, 95% CI 0.687–0.778, P < 0.001). When patients were designated as low risk, the negative predictive value was 98.5%. Conclusion: The SPOCS algorithm can be used to predict the risk of residual disease in patients with endoscopically resected MCPs. Surgery can be safely avoided in patients who have a clear margin of excision and no evidence of LVI. Abstract : This study, a collaboration between Scotland, Australia, New Zealand and Denmark aimed to define the optimal management strategy for patients with malignant colorectal polyps. The results confirmed the SPOCS algorithm (margin & LVI) can be used to accurately predict the risk of residual disease. … (more)
- Is Part Of:
- Colorectal disease. Volume 22:Number 12(2020)
- Journal:
- Colorectal disease
- Issue:
- Volume 22:Number 12(2020)
- Issue Display:
- Volume 22, Issue 12 (2020)
- Year:
- 2020
- Volume:
- 22
- Issue:
- 12
- Issue Sort Value:
- 2020-0022-0012-0000
- Page Start:
- 2105
- Page End:
- 2113
- Publication Date:
- 2020-10-07
- Subjects:
- Colorectal -- cancer -- polyp -- treatment -- malignant
Colon (Anatomy) -- Diseases -- Periodicals
Rectum -- Diseases -- Periodicals
616.34 - Journal URLs:
- http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=cdi ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/codi.15365 ↗
- Languages:
- English
- ISSNs:
- 1462-8910
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3322.110000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 23519.xml