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Cited by 314

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Anastomotic leakage after curative anterior resection results in a higher prevalence of local recurrence

Bell, S W, Walker, K G, Rickard, M J F X, Sinclair, G, Dent, O F, Chapuis, P H, Bokey, E L·2003·British Journal of Surgery

Abstract

Background: The aim of this study was to determine whether leakage from a colorectal anastomosis following potentially curative anterior resection for rectal cancer is an independent risk factor for local recurrence. Methods: The study included all patients who had a potentially curative anterior resection with anastomosis for adenocarcinoma of the rectum between 1971 and 1991 at Concord Hospital. The data were collected prospectively, with complete follow-up for at least 5 years. The Kaplan–Meier method was used to compare time to recurrence between strata of categorical variables. Proportional hazards regression was used in multivariate modelling. Results: There were 403 patients in the study. After adjustment for lymph node metastases, the distal resection margin of resection, non-total anatomical dissection of the rectum and the level of anastomosis, multivariate analysis identified a significant association between anastomotic leakage and local recurrence (hazard ratio 3·8, 95 per cent confidence interval 1·8 to 7·9). Conclusion: Leakage following a colorectal anastomosis after potentially curative resection for adenocarcinoma of the rectum is an independent predictor of local recurrence.

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Crossref · 10.1002/bjs.4219

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Metadata

Authors
Bell, S. W., Walker, K. G., Rickard, M. J. F. X., Sinclair, G., Dent, O. F., Chapuis, P. H., & Bokey, E. L.
Venue
British Journal of Surgery
Published
2003-08-12
Volume
90
Issue
10
Pages
1261-1266
ISSN
  • 0007-1323 (ISSN-L)
  • 1365-2168
OpenAlex
W2045787558
Cited by
314
References
1
FWCI
3.32
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.