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Original Research

Development of a simplified diagnostic indicators scoring system and validation for peptic ulcer perforation in a developing country

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Pages 187-194 | Published online: 25 Sep 2012

Figures & data

Table 1 Characteristics of patients with peptic ulcer perforation (cases) and nonperforation (controls)

Table 2 Regression coefficient, risk ratio, and 95% confidence interval of diagnostic indicators for peptic ulcer perforation from logistic regression

Figure 1 Receiver operating characteristic curve of risk for peptic ulcer perforation predicted by risk scoring (curved line) and a 50% chance prediction (diagonal line).

Note: Area under receiver operating characteristic curve = 0.9173.
Figure 1 Receiver operating characteristic curve of risk for peptic ulcer perforation predicted by risk scoring (curved line) and a 50% chance prediction (diagonal line).

Table 3 Item scoring scheme for predictors of peptic ulcer perforation derived from coefficients of select diagnostic indicators

Figure 2 Score predicted risk (dots) and logistic estimated risk (solid line) of peptic ulcer perforation (%) for each total score.

Figure 2 Score predicted risk (dots) and logistic estimated risk (solid line) of peptic ulcer perforation (%) for each total score.

Table 4 Distribution of risk for perforation among patients with peptic ulcer perforation and nonperforation