Accuracy of FGF‐21 and GDF‐15 for the diagnosis of mitochondrial disorders: A meta‐analysis

Abstract Objective Given their diverse phenotypes, mitochondrial diseases (MDs) are often difficult to diagnose. Fibroblast growth factor 21 (FGF‐21) and growth differentiation factor 15 (GDF‐15) represent promising biomarkers for MD diagnosis. Herein we conducted a meta‐analysis to compare their di...

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Main Authors: Yan Lin, Kunqian Ji, Xiaotian Ma, Shuangwu Liu, Wei Li, Yuying Zhao, Chuanzhu Yan
Format: Article
Language:English
Published: Wiley 2020-07-01
Series:Annals of Clinical and Translational Neurology
Online Access:https://doi.org/10.1002/acn3.51104
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spelling doaj-0bd68aed67e440a09576fa41f05118632021-05-03T01:24:35ZengWileyAnnals of Clinical and Translational Neurology2328-95032020-07-01771204121310.1002/acn3.51104Accuracy of FGF‐21 and GDF‐15 for the diagnosis of mitochondrial disorders: A meta‐analysisYan Lin0Kunqian Ji1Xiaotian Ma2Shuangwu Liu3Wei Li4Yuying Zhao5Chuanzhu Yan6Research Institute of Neuromuscular and Neurodegenerative Diseases and Department of Neurology Qilu Hospital Cheeloo College of MedicineShandong University Jinan Shandong 250000 ChinaResearch Institute of Neuromuscular and Neurodegenerative Diseases and Department of Neurology Qilu Hospital Cheeloo College of MedicineShandong University Jinan Shandong 250000 ChinaMitochondrial Medicine Laboratory Qilu Hospital (Qingdao) Shandong University Qingdao Shandong 266035 ChinaResearch Institute of Neuromuscular and Neurodegenerative Diseases and Department of Neurology Qilu Hospital Cheeloo College of MedicineShandong University Jinan Shandong 250000 ChinaResearch Institute of Neuromuscular and Neurodegenerative Diseases and Department of Neurology Qilu Hospital Cheeloo College of MedicineShandong University Jinan Shandong 250000 ChinaResearch Institute of Neuromuscular and Neurodegenerative Diseases and Department of Neurology Qilu Hospital Cheeloo College of MedicineShandong University Jinan Shandong 250000 ChinaResearch Institute of Neuromuscular and Neurodegenerative Diseases and Department of Neurology Qilu Hospital Cheeloo College of MedicineShandong University Jinan Shandong 250000 ChinaAbstract Objective Given their diverse phenotypes, mitochondrial diseases (MDs) are often difficult to diagnose. Fibroblast growth factor 21 (FGF‐21) and growth differentiation factor 15 (GDF‐15) represent promising biomarkers for MD diagnosis. Herein we conducted a meta‐analysis to compare their diagnostic accuracy for MDs. Methods We comprehensively searched PubMed, EMBASE, MEDLINE, the Web of Science, and Cochrane Library up to 1 January 2020. Data were analyzed by two independent reviewers. We obtained the sensitivity and specificity, positive and negative likelihood ratios (LR+ and LR‐), diagnostic odds ratios (DORs) and summary receiver operating characteristic (SROC) curves of each diagnostic method. Results Eight randomized controlled trials (RCTs) including 1563 participants (five encompassing 718 FGF‐21 assessments; seven encompassing 845 participants for GDF‐15) were included. Pooled sensitivity, specificity, DOR and SROC of FGF‐21 were 0.71 (95% CI 0.53, 0.84), 0.88(95% CI 0.82, 0.93), 18 (95% CI 6, 54), 0.90 (95% CI 0.87, 0.92), respectively, which were lower than GDF‐15 values; 0.83 (95% CI 0.65, 0.92), 0.92 (95% CI 0.84, 0.96), 52 (95% CI 13, 205), 0.94 (95% CI 0.92, 0.96). Interpretation FGF‐21 and GDF‐15 showed acceptable sensitivity and high specificity. Of the biomarkers, GDF‐15 had the highest diagnostic accuracy.https://doi.org/10.1002/acn3.51104
collection DOAJ
language English
format Article
sources DOAJ
author Yan Lin
Kunqian Ji
Xiaotian Ma
Shuangwu Liu
Wei Li
Yuying Zhao
Chuanzhu Yan
spellingShingle Yan Lin
Kunqian Ji
Xiaotian Ma
Shuangwu Liu
Wei Li
Yuying Zhao
Chuanzhu Yan
Accuracy of FGF‐21 and GDF‐15 for the diagnosis of mitochondrial disorders: A meta‐analysis
Annals of Clinical and Translational Neurology
author_facet Yan Lin
Kunqian Ji
Xiaotian Ma
Shuangwu Liu
Wei Li
Yuying Zhao
Chuanzhu Yan
author_sort Yan Lin
title Accuracy of FGF‐21 and GDF‐15 for the diagnosis of mitochondrial disorders: A meta‐analysis
title_short Accuracy of FGF‐21 and GDF‐15 for the diagnosis of mitochondrial disorders: A meta‐analysis
title_full Accuracy of FGF‐21 and GDF‐15 for the diagnosis of mitochondrial disorders: A meta‐analysis
title_fullStr Accuracy of FGF‐21 and GDF‐15 for the diagnosis of mitochondrial disorders: A meta‐analysis
title_full_unstemmed Accuracy of FGF‐21 and GDF‐15 for the diagnosis of mitochondrial disorders: A meta‐analysis
title_sort accuracy of fgf‐21 and gdf‐15 for the diagnosis of mitochondrial disorders: a meta‐analysis
publisher Wiley
series Annals of Clinical and Translational Neurology
issn 2328-9503
publishDate 2020-07-01
description Abstract Objective Given their diverse phenotypes, mitochondrial diseases (MDs) are often difficult to diagnose. Fibroblast growth factor 21 (FGF‐21) and growth differentiation factor 15 (GDF‐15) represent promising biomarkers for MD diagnosis. Herein we conducted a meta‐analysis to compare their diagnostic accuracy for MDs. Methods We comprehensively searched PubMed, EMBASE, MEDLINE, the Web of Science, and Cochrane Library up to 1 January 2020. Data were analyzed by two independent reviewers. We obtained the sensitivity and specificity, positive and negative likelihood ratios (LR+ and LR‐), diagnostic odds ratios (DORs) and summary receiver operating characteristic (SROC) curves of each diagnostic method. Results Eight randomized controlled trials (RCTs) including 1563 participants (five encompassing 718 FGF‐21 assessments; seven encompassing 845 participants for GDF‐15) were included. Pooled sensitivity, specificity, DOR and SROC of FGF‐21 were 0.71 (95% CI 0.53, 0.84), 0.88(95% CI 0.82, 0.93), 18 (95% CI 6, 54), 0.90 (95% CI 0.87, 0.92), respectively, which were lower than GDF‐15 values; 0.83 (95% CI 0.65, 0.92), 0.92 (95% CI 0.84, 0.96), 52 (95% CI 13, 205), 0.94 (95% CI 0.92, 0.96). Interpretation FGF‐21 and GDF‐15 showed acceptable sensitivity and high specificity. Of the biomarkers, GDF‐15 had the highest diagnostic accuracy.
url https://doi.org/10.1002/acn3.51104
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