Unveiling the role of interleukin-13 in liver fibrosis of chronic hepatitis B patients: Development of a predictive model

The number of patients studied was 88. A prediction model for inverseLSM was formulated, had an R2 of 0.37, and consisted of age, platelet count, and ILcut5 with correlation coefficients of -0.221, 0.326, and -0.288, respectively. The model had no autocorrelation, multicollinearity, or significant outliers, a normal distribution appearance, and met the homoscedastic criterion. Elevated IL-13, decreased platelet count, and aging are linked to increased liver stiffness.

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Publication Details

Journal
PLoS ONE
Published
2026-03-23
DOI
https://doi.org/10.1371/journal.pone.0344791
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
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article

Unveiling the role of interleukin-13 in liver fibrosis of chronic hepatitis B patients: Development of a predictive model

Eka Surya Nugraha, Dolvy Girawan, Muhammad Begawan Bestari, Nenny Agustanti et al.
PLoS ONE
Liver Disease Diagnosis and Treatment
article

Unveiling the role of interleukin-13 in liver fibrosis of chronic hepatitis B patients: Development of a predictive model

Eka Surya Nugraha, Dolvy Girawan, Muhammad Begawan Bestari, Nenny Agustanti, Muhammad Palar Wijaya
article en

Abstract

The number of patients studied was 88. A prediction model for inverseLSM was formulated, had an R2 of 0.37, and consisted of age, platelet count, and ILcut5 with correlation coefficients of -0.221, 0.326, and -0.288, respectively. The model had no autocorrelation, multicollinearity, or significant outliers, a normal distribution appearance, and met the homoscedastic criterion. Elevated IL-13, decreased platelet count, and aging are linked to increased liver stiffness.

PLoS ONEVol. 21(3)
Good health and well-being
Openalex Percentile: Top 14%
Liver Disease Diagnosis and Treatment
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Unveiling the role of interleukin-13 in liver fibrosis of chronic hepatitis B patients: Development of a predictive model — Eka Surya Nugraha, Dolvy Girawan, et al. · PLoS ONE (2026) | TGRS Research Map | TGRS