2019
DOI: 10.1002/jso.25730
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Novel nomogram with microvascular density in the surgical margins can accurately predict the risk for anastomotic leakage after anterior resection for rectal cancer

Abstract: Abstracts Background Anastomotic leakage (AL) is a serious complication after anterior resection. The purpose of this study was to determine the role of microvascular density (MVD) in AL and to develop a nomogram to accurately predict AL. Methods This study retrospectively enrolled 477 consecutive patients who underwent anterior resection for rectal cancer from January 2011 to January 2019. Tissue samples of the resection margins were assessed for MVD. Univariate and multivariate regression analyses were used … Show more

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Cited by 6 publications
(3 citation statements)
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“…Consistently, our study showed that male patients and those with lower distance of tumor from the anal verge were more likely to have AL. Similarly, preoperative bowel stenosis or obstruction, preoperative anemia (<90 g/L) or massive blood loss during operation, diabetes, and nCRT that were also considered as predictors in our study, have also been reported in several other studies (19,29). A proximal bowel stenosis or even obstruction may induce the proximal and distal bowel tissue edema, and thus increase the incidence of AL after AR.…”
supporting
confidence: 85%
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“…Consistently, our study showed that male patients and those with lower distance of tumor from the anal verge were more likely to have AL. Similarly, preoperative bowel stenosis or obstruction, preoperative anemia (<90 g/L) or massive blood loss during operation, diabetes, and nCRT that were also considered as predictors in our study, have also been reported in several other studies (19,29). A proximal bowel stenosis or even obstruction may induce the proximal and distal bowel tissue edema, and thus increase the incidence of AL after AR.…”
supporting
confidence: 85%
“…Thus, the results in our study are likely to be more reliable and convincing. Moreover, compared to other studies, our model also showed a better predicting performance (11,12,19,20,(25)(26)(27) (Table 6).…”
mentioning
confidence: 45%
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