Growth differentiation factor-15 as a biomarker for intensive care unit-acquired weakness: a meta-analysis
BackgroundGrowth differentiation factor-15 (GDF-15) may be a potential biomarker for intensive care unit-acquired weakness (ICU-AW). In this study, we aimed to quantitative analysis the levels of GDF-15 in patients with ICU-AW and in non-ICU-AW, and then to determine its potential diagnostic utility...
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Frontiers Media S.A.
2025-01-01
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author | Bing-Han Wang Meng-Ying Qi Zheng Yang Gui-Lan He Si-Ya Meng |
author_facet | Bing-Han Wang Meng-Ying Qi Zheng Yang Gui-Lan He Si-Ya Meng |
author_sort | Bing-Han Wang |
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description | BackgroundGrowth differentiation factor-15 (GDF-15) may be a potential biomarker for intensive care unit-acquired weakness (ICU-AW). In this study, we aimed to quantitative analysis the levels of GDF-15 in patients with ICU-AW and in non-ICU-AW, and then to determine its potential diagnostic utility.MethodsTwo researchers separately conducted a systematic search of the relevant studies up to May 2023 in various literature databases (PubMed, Cochrane, Web of Science, Embase, and CINAHL). Studies were selected according to the inclusion and exclusion criteria, and quality evaluation of the included studies was conducted by using QUADAS-2 provided by Review Manager 5.3. The software packages Meta Disc (C1.4) and Stata17.0 were used for the meta-analysis. The data were combined with fixed-effects model, and the summary receiver operating characteristic curve was drawn to evaluate the overall diagnostic accuracy of GDF-15.ResultsWe identified 6 eligible studies comprising 401 patients with ICU-AW. The sensitivity, specificity, diagnostic odds ratio (DOR), and area under the curve (AUC) for the discriminative performance of GDF-15 as a diagnostic biomarker were 0.82 (95% confidence interval (CI):0.78–0.86), 0.83 (95% CI: 0.61–0.88), 21.39 (95% CI: 13.36–34.24), and 0.88 (95% CI: 0.85–0.91), respectively.ConclusionGDF-15 is a candidate biomarker in diagnosing of ICU-AW from non-ICU-AW. |
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institution | Kabale University |
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language | English |
publishDate | 2025-01-01 |
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spelling | doaj-art-09ea1ee5387d448ca23d50732363aaa82025-01-30T06:22:28ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-01-011210.3389/fmed.2025.14863611486361Growth differentiation factor-15 as a biomarker for intensive care unit-acquired weakness: a meta-analysisBing-Han Wang0Meng-Ying Qi1Zheng Yang2Gui-Lan He3Si-Ya Meng4Department of Critical Care Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital/Shenzhen Nanshan People’s Hospital, Shenzhen, ChinaDepartment of Critical Care Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital/Shenzhen Nanshan People’s Hospital, Shenzhen, ChinaDepartment of Critical Care Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital/Shenzhen Nanshan People’s Hospital, Shenzhen, ChinaDepartment of Nursing, Huazhong University of Science and Technology Union Shenzhen Hospital/Shenzhen Nanshan People’s Hospital, Shenzhen, ChinaDepartment of Critical Care Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital/Shenzhen Nanshan People’s Hospital, Shenzhen, ChinaBackgroundGrowth differentiation factor-15 (GDF-15) may be a potential biomarker for intensive care unit-acquired weakness (ICU-AW). In this study, we aimed to quantitative analysis the levels of GDF-15 in patients with ICU-AW and in non-ICU-AW, and then to determine its potential diagnostic utility.MethodsTwo researchers separately conducted a systematic search of the relevant studies up to May 2023 in various literature databases (PubMed, Cochrane, Web of Science, Embase, and CINAHL). Studies were selected according to the inclusion and exclusion criteria, and quality evaluation of the included studies was conducted by using QUADAS-2 provided by Review Manager 5.3. The software packages Meta Disc (C1.4) and Stata17.0 were used for the meta-analysis. The data were combined with fixed-effects model, and the summary receiver operating characteristic curve was drawn to evaluate the overall diagnostic accuracy of GDF-15.ResultsWe identified 6 eligible studies comprising 401 patients with ICU-AW. The sensitivity, specificity, diagnostic odds ratio (DOR), and area under the curve (AUC) for the discriminative performance of GDF-15 as a diagnostic biomarker were 0.82 (95% confidence interval (CI):0.78–0.86), 0.83 (95% CI: 0.61–0.88), 21.39 (95% CI: 13.36–34.24), and 0.88 (95% CI: 0.85–0.91), respectively.ConclusionGDF-15 is a candidate biomarker in diagnosing of ICU-AW from non-ICU-AW.https://www.frontiersin.org/articles/10.3389/fmed.2025.1486361/fullgrowth differentiation factor-15intensive care unit-acquired weaknessdiagnostic utilitymeta-analysisreview |
spellingShingle | Bing-Han Wang Meng-Ying Qi Zheng Yang Gui-Lan He Si-Ya Meng Growth differentiation factor-15 as a biomarker for intensive care unit-acquired weakness: a meta-analysis Frontiers in Medicine growth differentiation factor-15 intensive care unit-acquired weakness diagnostic utility meta-analysis review |
title | Growth differentiation factor-15 as a biomarker for intensive care unit-acquired weakness: a meta-analysis |
title_full | Growth differentiation factor-15 as a biomarker for intensive care unit-acquired weakness: a meta-analysis |
title_fullStr | Growth differentiation factor-15 as a biomarker for intensive care unit-acquired weakness: a meta-analysis |
title_full_unstemmed | Growth differentiation factor-15 as a biomarker for intensive care unit-acquired weakness: a meta-analysis |
title_short | Growth differentiation factor-15 as a biomarker for intensive care unit-acquired weakness: a meta-analysis |
title_sort | growth differentiation factor 15 as a biomarker for intensive care unit acquired weakness a meta analysis |
topic | growth differentiation factor-15 intensive care unit-acquired weakness diagnostic utility meta-analysis review |
url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1486361/full |
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