Cargando…

Estimation of fibrosis progression rates for chronic hepatitis C: a systematic review and meta-analysis update

OBJECTIVES: Mathematical models are increasingly important in planning for the upcoming chronic hepatitis C (CHC) elimination efforts. Such models require reliable natural history inputs to make accurate predictions on health and economic outcomes. Yet, hepatitis C virus disease progression is known...

Descripción completa

Detalles Bibliográficos
Autores principales: Erman, Aysegul, Krahn, Murray D., Hansen, Tawnya, Wong, Josephine, Bielecki, Joanna M., Feld, Jordan J., Wong, William W.L., Grootendorst, Paul, Thein, Hla-Hla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858137/
https://www.ncbi.nlm.nih.gov/pubmed/31719068
http://dx.doi.org/10.1136/bmjopen-2018-027491
_version_ 1783470890170712064
author Erman, Aysegul
Krahn, Murray D.
Hansen, Tawnya
Wong, Josephine
Bielecki, Joanna M.
Feld, Jordan J.
Wong, William W.L.
Grootendorst, Paul
Thein, Hla-Hla
author_facet Erman, Aysegul
Krahn, Murray D.
Hansen, Tawnya
Wong, Josephine
Bielecki, Joanna M.
Feld, Jordan J.
Wong, William W.L.
Grootendorst, Paul
Thein, Hla-Hla
author_sort Erman, Aysegul
collection PubMed
description OBJECTIVES: Mathematical models are increasingly important in planning for the upcoming chronic hepatitis C (CHC) elimination efforts. Such models require reliable natural history inputs to make accurate predictions on health and economic outcomes. Yet, hepatitis C virus disease progression is known to vary widely in the literature and published inputs are currently outdated. The objectives of this study were to obtain updated estimates of fibrosis progression rates (FPR) in treatment-naïve patients with CHC and to explore sources of heterogeneity. DESIGN: A systematic review was conducted using Ovid-MEDLINE, Ovid-EMBASE and PubMed databases (January 1990 to January 2018) to identify observational studies of hepatic fibrosis in treatment-naïve patients with CHC. OUTCOMES: Stage-constant FPRs were estimated for each study given the reported fibrosis scores and duration of infection. Stage-specific FPRs (ie, F0→F1; F1→F2; F2→F3; F3→F4) were estimated using Markov maximum likelihood estimation. Estimates were pooled using random-effects meta-analysis and heterogeneity was evaluated by stratification and random-effects meta-regression. RESULTS: The review identified 111 studies involving 131 groups of patients (n=42 693). The pooled stage-constant FPR was 0.094 (95% CI 0.088 to 0.100); stage-specific FPRs were F0→F1: 0.107 (95% CI 0.097 to 0.118); F1→F2: 0.082 (95% CI 0.074 to 0.091); F2→F3: 0.117 (95% CI 0.107 to 0.129); F3→F4: 0.116 (95% CI 0.104 to 0.131). Stratified analysis revealed substantial variation in progression by study population. Meta-regression indicated associations between progression and infection age, duration, source, viral genotype and study population. Findings indicate that FPRs display substantial heterogeneity across study populations and pooled values from more homogenous subpopulations should be considered when estimating prognosis. CONCLUSIONS: This large meta-analysis presents updated prognostic estimates for CHC derived from newer studies using better diagnostic methods and improves estimates for important patient populations in terms of clinical policy (eg, injection drug users, non-clinical populations, liver clinic patients) and should be a valuable resource for patients, clinicians and clinical policymakers.
format Online
Article
Text
id pubmed-6858137
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-68581372019-12-03 Estimation of fibrosis progression rates for chronic hepatitis C: a systematic review and meta-analysis update Erman, Aysegul Krahn, Murray D. Hansen, Tawnya Wong, Josephine Bielecki, Joanna M. Feld, Jordan J. Wong, William W.L. Grootendorst, Paul Thein, Hla-Hla BMJ Open Gastroenterology and Hepatology OBJECTIVES: Mathematical models are increasingly important in planning for the upcoming chronic hepatitis C (CHC) elimination efforts. Such models require reliable natural history inputs to make accurate predictions on health and economic outcomes. Yet, hepatitis C virus disease progression is known to vary widely in the literature and published inputs are currently outdated. The objectives of this study were to obtain updated estimates of fibrosis progression rates (FPR) in treatment-naïve patients with CHC and to explore sources of heterogeneity. DESIGN: A systematic review was conducted using Ovid-MEDLINE, Ovid-EMBASE and PubMed databases (January 1990 to January 2018) to identify observational studies of hepatic fibrosis in treatment-naïve patients with CHC. OUTCOMES: Stage-constant FPRs were estimated for each study given the reported fibrosis scores and duration of infection. Stage-specific FPRs (ie, F0→F1; F1→F2; F2→F3; F3→F4) were estimated using Markov maximum likelihood estimation. Estimates were pooled using random-effects meta-analysis and heterogeneity was evaluated by stratification and random-effects meta-regression. RESULTS: The review identified 111 studies involving 131 groups of patients (n=42 693). The pooled stage-constant FPR was 0.094 (95% CI 0.088 to 0.100); stage-specific FPRs were F0→F1: 0.107 (95% CI 0.097 to 0.118); F1→F2: 0.082 (95% CI 0.074 to 0.091); F2→F3: 0.117 (95% CI 0.107 to 0.129); F3→F4: 0.116 (95% CI 0.104 to 0.131). Stratified analysis revealed substantial variation in progression by study population. Meta-regression indicated associations between progression and infection age, duration, source, viral genotype and study population. Findings indicate that FPRs display substantial heterogeneity across study populations and pooled values from more homogenous subpopulations should be considered when estimating prognosis. CONCLUSIONS: This large meta-analysis presents updated prognostic estimates for CHC derived from newer studies using better diagnostic methods and improves estimates for important patient populations in terms of clinical policy (eg, injection drug users, non-clinical populations, liver clinic patients) and should be a valuable resource for patients, clinicians and clinical policymakers. BMJ Publishing Group 2019-11-11 /pmc/articles/PMC6858137/ /pubmed/31719068 http://dx.doi.org/10.1136/bmjopen-2018-027491 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Gastroenterology and Hepatology
Erman, Aysegul
Krahn, Murray D.
Hansen, Tawnya
Wong, Josephine
Bielecki, Joanna M.
Feld, Jordan J.
Wong, William W.L.
Grootendorst, Paul
Thein, Hla-Hla
Estimation of fibrosis progression rates for chronic hepatitis C: a systematic review and meta-analysis update
title Estimation of fibrosis progression rates for chronic hepatitis C: a systematic review and meta-analysis update
title_full Estimation of fibrosis progression rates for chronic hepatitis C: a systematic review and meta-analysis update
title_fullStr Estimation of fibrosis progression rates for chronic hepatitis C: a systematic review and meta-analysis update
title_full_unstemmed Estimation of fibrosis progression rates for chronic hepatitis C: a systematic review and meta-analysis update
title_short Estimation of fibrosis progression rates for chronic hepatitis C: a systematic review and meta-analysis update
title_sort estimation of fibrosis progression rates for chronic hepatitis c: a systematic review and meta-analysis update
topic Gastroenterology and Hepatology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858137/
https://www.ncbi.nlm.nih.gov/pubmed/31719068
http://dx.doi.org/10.1136/bmjopen-2018-027491
work_keys_str_mv AT ermanaysegul estimationoffibrosisprogressionratesforchronichepatitiscasystematicreviewandmetaanalysisupdate
AT krahnmurrayd estimationoffibrosisprogressionratesforchronichepatitiscasystematicreviewandmetaanalysisupdate
AT hansentawnya estimationoffibrosisprogressionratesforchronichepatitiscasystematicreviewandmetaanalysisupdate
AT wongjosephine estimationoffibrosisprogressionratesforchronichepatitiscasystematicreviewandmetaanalysisupdate
AT bieleckijoannam estimationoffibrosisprogressionratesforchronichepatitiscasystematicreviewandmetaanalysisupdate
AT feldjordanj estimationoffibrosisprogressionratesforchronichepatitiscasystematicreviewandmetaanalysisupdate
AT wongwilliamwl estimationoffibrosisprogressionratesforchronichepatitiscasystematicreviewandmetaanalysisupdate
AT grootendorstpaul estimationoffibrosisprogressionratesforchronichepatitiscasystematicreviewandmetaanalysisupdate
AT theinhlahla estimationoffibrosisprogressionratesforchronichepatitiscasystematicreviewandmetaanalysisupdate