Literature DB >> 31389726

Red cell distribution width to platelet ratio for liver fibrosis: a systematic review and meta-analysis of diagnostic accuracy.

Gerasimos P Milas1, Vasilios Karageorgiou1, Evangelos Cholongitas1.   

Abstract

Introduction: Red cell distribution width to platelet ratio (RPR) may be a useful marker for the evaluation of liver fibrosis in chronic liver disease (CLD). We sought to investigate its value in fibrosis-related outcomes in a meta-analysis of diagnostic accuracy. Areas covered: We searched MEDLINE (1966-2019), Clinicaltrials.gov (2008-2019), Cochrane Central Register of Controlled Trials (CENTRAL) (1999-2019), Google Scholar (2004-2019) and WHO (International Clinical Trials Register Platform) databases using a structured algorithm. The articles were assessed by Quality Assessment of Diagnostic Accuracy Studies tool (QUADAS-2). In over 1,800 patients for each outcome, pooled sensitivity and specificity for a) significant fibrosis, b) advanced fibrosis and c) cirrhosis were: a) 0.635 and 0.769 with an AUC of 0.747, b) 0.607 and 0.783 with an AUC of 0.773, c) 0.739 and 0.768 with an AUC of 0.818 respectively. Similar results were found for chronic hepatitis B in all outcomes. Subgroup analysis indicated a high specificity for advanced fibrosis detection in primary biliary cirrhosis. Sensitivity analysis did not alter the results. Expert opinion: RPR is a good predictor of fibrosis, especially as severity of chronic liver disease progresses. Future research should elucidate its value in specific etiologies of chronic liver disease.

Entities:  

Keywords:  Non-invasive test; chronic liver disease; diagnostic accuracy; liver fibrosis; meta-analysis; primary care

Mesh:

Year:  2019        PMID: 31389726     DOI: 10.1080/17474124.2019.1653757

Source DB:  PubMed          Journal:  Expert Rev Gastroenterol Hepatol        ISSN: 1747-4124            Impact factor:   3.869


  3 in total

1.  Diagnostic Accuracy of the RDW for Predicting Death in COVID-19.

Authors:  Eduardo Guaní-Guerra; Brenda Torres-Murillo; Carolina Muñoz-Corona; José Carlos Rodríguez-Jiménez; Alejandro E Macías; David A Scavo-Montes; Jose A Alvarez
Journal:  Medicina (Kaunas)       Date:  2022-04-28       Impact factor: 2.948

2.  High-dimensional hepatopath data analysis by machine learning for predicting HBV-related fibrosis.

Authors:  Xiangke Pu; Danni Deng; Chaoyi Chu; Tianle Zhou; Jianhong Liu
Journal:  Sci Rep       Date:  2021-03-03       Impact factor: 4.379

3.  Early Mortality of Brain Infarction Patients and Red Blood Cell Distribution Width.

Authors:  Leonardo Lorente; María M Martín; Pedro Abreu-González; Antonia Pérez-Cejas; Agustín F González-Rivero; Luis Ramos-Gómez; Mónica Argueso; Jordi Solé-Violán; Juan J Cáceres; Alejandro Jiménez; Victor García-Marín
Journal:  Brain Sci       Date:  2020-03-26
  3 in total

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