Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

Work flow of deciding the optimal number and locations of cutoff points.

More »

Fig 1 Expand

Table 1.

Distribution of the patients’ baseline characteristics.

More »

Table 1 Expand

Table 2.

Optimal cutoff point: Total number of lymph node metastasis vs. survival.

More »

Table 2 Expand

Table 3.

Optimal cutoff point of tumor size against risk of lymph node metastasis.

More »

Table 3 Expand

Fig 2.

BMI distribution against hazard ratio (HR) in the event of death.

Arrow marks position of the lowest HR. BMI histogram is illustrated with bars at the bottom of the figure.

More »

Fig 2 Expand

Table 4.

Multiple cutoff points: Body mass index (BMI) vs. death.

More »

Table 4 Expand

Fig 3.

Kaplan-Meier curves for the three risk groups of BMI using the validation cohort of 300 patients.

The log-rank test showed significant difference in risk of death between the groups (p = 0.028).

More »

Fig 3 Expand

Fig 4.

Nomogram of survival probabilities with independent risk factors using the validation cohort of 300 patients.

Survival probabilities after 1 year through 5 years are calculated based on the effects of the three risk factors.

More »

Fig 4 Expand

Table 5.

Multiple cutoff points: Depth of stromal invasion (in fraction) against risk of lymphovascular space invasion (LVSI).

More »

Table 5 Expand

Table 6.

Comparison of Findcut and X2: Stromal invasion vs. LVSI.

More »

Table 6 Expand