Economic evaluation of non-invasive liver tests for the diagnosis of liver fibrosis in chronic liver diseases: a systematic review protocol.


Journal

JBI evidence synthesis
ISSN: 2689-8381
Titre abrégé: JBI Evid Synth
Pays: United States
ID NLM: 101764819

Informations de publication

Date de publication:
04 Oct 2023
Historique:
medline: 4 10 2023
pubmed: 4 10 2023
entrez: 4 10 2023
Statut: aheadofprint

Résumé

The objective of this review is to determine the costs and benefits of non-invasive liver tests versus liver biopsy in patients with chronic liver diseases. Hepatic diseases can lead to liver fibrosis, cirrhosis, and hepatocellular carcinoma. In the past, liver biopsy was the only option for diagnosing fibrosis degree; however, it is an invasive procedure that depends on the sample size to be able to deliver an accurate diagnosis. In recent years, non-invasive liver tests have been increasingly used to estimate liver fibrosis degree, however, there is a lack of economic assessments of technology implementation outcomes. This review will include partial (cost studies) and complete economic evaluation studies on hepatitis B, hepatitis C, alcoholic liver disease, and non-alcoholic fatty liver disease that compare non-invasive liver tests with liver biopsies. Studies published in English, French, Spanish, German, Italian, or Portuguese will be included. No date limits will be applied to the search. This review will identify published and unpublished studies. Published studies will be identified using MEDLINE (PubMed), Cochrane Library (CENTRAL), Embase (Elsevier), Web of Science, Scopus, and LILACS. Sources of unpublished studies and gray literature will include sources from health technology assessment agencies, clinical practice guidelines, regulatory approvals, advisories and warnings, and clinical trial registries, as well as Google Scholar. Two independent reviewers will screen and assess studies, and extract and critically appraise the data. Data extracted from the included studies will be analyzed and summarized to address the review objective using narratives, tables, and the JBI dominance ranking matrix. PROSPERO CRD42023404278.

Identifiants

pubmed: 37789815
doi: 10.11124/JBIES-23-00097
pii: 02174543-990000000-00219
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 JBI.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Marilia Mastrocolla de Almeida Cardoso (MM)

Health Technology Assessment Center, Hospital das Clínicas of Medical School (FMB), HCFMB, Botucatu, SP, Brazil.
The Brazilian Centre for Evidence-based Healthcare: A JBI Centre of Excellence, University of São Paulo, São Paulo, Brazil.

Lehana Thabane (L)

McMaster University, Department of Health Research Methods, Evidence, and Impact, Hamilton, ON, Canada.
St Joseph's Healthcare Hamilton, Biostatistics Unit, Hamilton ON, Canada.
University of Johannesburg, Faculty of Health Sciences, Johannesburg, South Africa.

Fernando Gomes Romeiro (FG)

São Paulo State University, Medical School (FMB), Department of Internal Medicine, Botucatu, SP, Brazil.

Giovanni Faria Silva (GF)

São Paulo State University, Medical School (FMB), Department of Internal Medicine, Botucatu, SP, Brazil.

Juliana Machado-Rugolo (J)

Health Technology Assessment Center, Hospital das Clínicas of Medical School (FMB), HCFMB, Botucatu, SP, Brazil.

Alan Francisco Fonseca (AF)

Health Technology Assessment Center, Hospital das Clínicas of Medical School (FMB), HCFMB, Botucatu, SP, Brazil.

Wendel Mombaque Dos Santos (WM)

The Brazilian Centre for Evidence-based Healthcare: A JBI Centre of Excellence, University of São Paulo, São Paulo, Brazil.

Juliana Tereza Coneglian de Almeida (JTC)

Health Technology Assessment Center, Hospital das Clínicas of Medical School (FMB), HCFMB, Botucatu, SP, Brazil.

Kednapa Thavorn (K)

Ottawa Hospital Research Institute, Ottawa, ON, Canada.
School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.

Jean-Eric Tarride (JE)

McMaster University, Department of Health Research Methods, Evidence, and Impact, Hamilton, ON, Canada.

Classifications MeSH