Publikasi Scopus 926 artikel (Per 14 Maret 2022)

Pranata R., Yonas E., Huang I., Lim M.A., Nasution S.A., Kuswardhani R.A.T.
57201973901;57201987097;57208576645;57216039756;57189373134;36863900500;
Fibrosis-4 index and mortality in coronavirus disease 2019: a meta-analysis
2021
European journal of gastroenterology & hepatology
33
1S Suppl 1
e368
e374
8
Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia; Faculty of Medicine, Universitas YARSIJakarta, Indonesia; Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin General Hospital, Bandung, Indonesia; Division of Cardiology, Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia/Cipto Mangunkusumo National General HospitalJakarta, Indonesia; Division of Geriatrics, Department of Internal Medicine, Faculty of Medicine, Udayana University, Sanglah Teaching Hospital, Indonesia
Pranata, R., Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia; Yonas, E., Faculty of Medicine, Universitas YARSIJakarta, Indonesia; Huang, I., Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin General Hospital, Bandung, Indonesia; Lim, M.A., Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia; Nasution, S.A., Division of Cardiology, Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia/Cipto Mangunkusumo National General HospitalJakarta, Indonesia; Kuswardhani, R.A.T., Division of Geriatrics, Department of Internal Medicine, Faculty of Medicine, Udayana University, Sanglah Teaching Hospital, Indonesia
BACKGROUND/AIMS: In this meta-analysis, we aimed to evaluate the prognostic value of fibrosis-4 index (FIB-4) in COVID-19. METHODS: We performed a comprehensive literature search of PubMed, Embase, and Scopus databases on 26 November 2020. FIB-4 was calculated by [age (years) × AST (IU/L)]/[platelet count (109/L) × √ALT (U/L)]. A value above cutoff point was considered high and a value below cutoff point was considered low. The main outcome was mortality, the association between high FIB-4 and mortality was reported in odds ratio (OR). Sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic OR (DOR), area under the curve (AUC) were generated. RESULTS: There were 963 patients from five studies included in this systematic review and meta-analysis. Meta-analysis showed that high FIB-4 was associated with increased mortality [OR 3.96 (2.16-7.27), P < 0.001; I2: 41.3%]. High FIB-4 was associated mortality with a sensitivity of 0.56 (0.40-0.70), specificity of 0.80 (0.72-0.86), PLR 2.8 (1.8-4.2), NLR 0.55 (0.39-0.78), DOR 5 (2-10), and AUC of 0.77 (0.73-0.81). Fagan's nomogram indicated that for a pre-test probability (mortality) of 30%, a high FIB-4 was associated with 54% post-test probability and a low FIB-4 was associated with 19%, respectively. The funnel-plot analysis was asymmetrical, trim-and-fill analysis by imputation of a study on the left side using linear estimator resulted in an OR of 3.48 (1.97-6.14). Egger's test showed no indication of small-study effects (P = 0.881). CONCLUSION: High FIB-4 was associated with mortality in patients with COVID-19. Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.
area under the curve; fibrosis; human; meta analysis; platelet count; Area Under Curve; COVID-19; Fibrosis; Humans; Platelet Count; SARS-CoV-2
NLM (Medline)
14735687
35048648
Article
#N/A
#N/A
#N/A