Figures & data
Table 1 Patient characteristics
Table 2 Univariate and multivariate logistic regression model for risk factors of AL
Figure 2 Nomogram for predicting anastomotic leakage (C index 0.645) after rectal cancer surgery. Incidence of anastomotic leakage was estimated by summing scores of sex, ASA score, and neoadjuvant radiotherapy.
![Figure 2 Nomogram for predicting anastomotic leakage (C index 0.645) after rectal cancer surgery. Incidence of anastomotic leakage was estimated by summing scores of sex, ASA score, and neoadjuvant radiotherapy.](/cms/asset/1f0b02e7-d09f-477b-a5ef-0e04af45e3b7/dcmr_a_12189483_f0002_b.jpg)
Figure 3 (A) ROC curve for the nomogram. AUC was 0.645 (95% CI 0.762–0.903). (B) Nomogram calibration curve. The y‐axis represents the actual probability of anastomotic leakage. The x‐axis represents predicted anastomotic leakage probability. The ideal line represents a perfect prediction model. The apparent line represents the performance of the nomogram, and a close fit to the ideal line represents a good prediction.
![Figure 3 (A) ROC curve for the nomogram. AUC was 0.645 (95% CI 0.762–0.903). (B) Nomogram calibration curve. The y‐axis represents the actual probability of anastomotic leakage. The x‐axis represents predicted anastomotic leakage probability. The ideal line represents a perfect prediction model. The apparent line represents the performance of the nomogram, and a close fit to the ideal line represents a good prediction.](/cms/asset/a03edd8e-c931-4f95-add0-ec79fd94d3f5/dcmr_a_12189483_f0003_b.jpg)