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. 2025 Oct 13;12:1655302. doi: 10.3389/fmed.2025.1655302

FIGURE 2.

Two forest plots display odds ratios on a logarithmic scale from 0.01 to 10.00. Panel A shows a Univariate Logistic Regression with various factors like scarheight, sex, and location_location2. Panel B depicts a Multivariate Logistic Regression focusing on factors such as scarheight, course, and BMI. Both plots include horizontal lines and points to indicate confidence intervals and effect sizes, respectively.

Forest plots of univariate and multivariate logistic regression analyses for clinical variables in the training set. (A) Univariate analysis showing odds ratios (OR) with 95% confidence intervals (CI) for each variable on a log scale (0.01 to 10.00), ordered by increasing OR. Arrows indicate CIs extending beyond axis limits. Scarheight demonstrates the strongest positive association with poor outcome. (B) Multivariate analysis for selected variables (p < 0.1 in univariate), with scarheight as the primary risk factor. Log-scaled x-axis (0.01 to 10.00); arrows for extended CIs.