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Original Research

A Novel Nomogram for Prediction of Early Postoperative Complications of Total Gastrectomy for Gastric Cancer

, &
Pages 7579-7591 | Published online: 02 Oct 2021

Figures & data

Figure 1 Flow of patients through this retrospective study. Ultimately, 363 patients were enrolled who underwent TG for GC.

Figure 1 Flow of patients through this retrospective study. Ultimately, 363 patients were enrolled who underwent TG for GC.

Table 1 Comparison of Clinical and Pathological Data of the Patients

Figure 2 Distribution Figure: After matching between the two groups, the score distribution is consistent, and the matching effect is good.

Figure 2 Distribution Figure: After matching between the two groups, the score distribution is consistent, and the matching effect is good.

Figure 3 Histogram Figure: After matching between the two groups, the score distribution is consistent, and the matching effect is good.

Figure 3 Histogram Figure: After matching between the two groups, the score distribution is consistent, and the matching effect is good.

Table 2 Surgical and Pathological Outcome of the Patients

Table 3 Demographic or Characteristic Date of the Patient in Primary Cohort and Validation Cohort

Table 4 Univariate and Multivariable Analysis of Factors Influencing Early Postoperative Complications of Total Gastrectomy for Gastric Cancer

Figure 4 The nomogram for predicting the risk of early postoperative complications of total gastrectomy for gastric cancer. Cost, one-time consumables for surgery. LymphNodes, number of total lymph nodes. PositivelymphNodes, number of positive lymph nodes.

Figure 4 The nomogram for predicting the risk of early postoperative complications of total gastrectomy for gastric cancer. Cost, one-time consumables for surgery. LymphNodes, number of total lymph nodes. PositivelymphNodes, number of positive lymph nodes.

Figure 5 Calibration plots of primary cohort.

Notes: The y-axis is the actual rate. The x-axis is the predicted risk. The diagonal dotted line represents a perfect prediction by an ideal model. The solid line represents the bias-corrected performance of the nomogram, where a closer fit to the diagonal dotted line represents a better prediction.
Figure 5 Calibration plots of primary cohort.

Figure 6 Calibration plots of modeling cohort.

Figure 6 Calibration plots of modeling cohort.

Figure 7 Calibration plots of validation cohort.

Figure 7 Calibration plots of validation cohort.