Diagnostic Accuracy of Non-Invasive Diagnostic Tests for Nonalcoholic Fatty Liver Disease: A Systematic Review and Network Meta-Analysis
Yuxin Sun,1,* Die Hu,1,* Mingkun Yu,2 Shi-Bing Liang,3– 5 Youyou Zheng,6 Xin Wang,7 Guangdong Tong1,8 1Shenzhen Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, Shenzhen, People’s Republic of China; 2Department of Oncology, Binzhou Hospital...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Dove Medical Press
2025-01-01
|
| Series: | Clinical Epidemiology |
| Subjects: | |
| Online Access: | https://www.dovepress.com/diagnostic-accuracy-of-non-invasive-diagnostic-tests-for-nonalcoholic--peer-reviewed-fulltext-article-CLEP |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Yuxin Sun,1,* Die Hu,1,* Mingkun Yu,2 Shi-Bing Liang,3– 5 Youyou Zheng,6 Xin Wang,7 Guangdong Tong1,8 1Shenzhen Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, Shenzhen, People’s Republic of China; 2Department of Oncology, Binzhou Hospital of Traditional Chinese Medicine, Binzhou, People’s Republic of China; 3Clinical Study Center, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, People’s Republic of China; 4Centre for Evidence-Based Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, People’s Republic of China; 5Postdoctoral Research Station, Shandong University of Traditional Chinese Medicine, Jinan, People’s Republic of China; 6Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China; 7Department of Traditional Chinese Medicine, Sanbo Brian Hospital of Capital Medical University, Beijing, People’s Republic of China; 8Department of Liver Disease, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, People’s Republic of China*These authors contributed equally to this workCorrespondence: Guangdong Tong, Shenzhen Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, Shenzhen, People’s Republic of China, Email tgd755@163.comPurpose: In recent decades, numerous non-invasive tests (NITs) for diagnosing nonalcoholic fatty liver disease (NAFLD) have been developed, however, a comprehensive comparison of their relative diagnostic accuracies is lacking. We aimed to assess and compare the diagnostic accuracy of various NITs for NAFLD using network meta-analysis (NMA).Materials and Methods: We conducted a systematic search in seven databases up to April 2024 to identify studies evaluating the diagnostic values of NITs, with liver biopsy as the gold standard. The participants included patients with suspected or confirmed NAFLD, irrespective of age, sex, ethnicity. Statistical analysis was conducted using R 4.0.3 for Bayesian NMA and STATA 17.0 for pairwise meta-analysis. Sensitivity, specificity, diagnostic odds ratio (DOR), area under the receiver operating characteristic curve (AUC), and superiority index were calculated. Bayesian calculations were performed using the Rstan package, specifying parameters like MCMC chain count, iteration count, and operational cycles. The methodological quality of included studies was assessed using the QUADAS-2 tool.Results: Out of 15,877 studies, 180 were included in the quantitative synthesis, and 102 were used in head-to-head meta-analyses. For diagnosing steatosis stage 1, Hydrogen Magnetic Resonance Spectroscopy (H-MRS, DOR 15,745,657.6, 95% CI 17.2– 1,014,063.59) proved to be the most accurate. For significant fibrosis, HRI leading (DOR 80.94, 95% CI 6.46– 391.41), For advanced fibrosis, CK-18 showed the highest performance (DOR 102654.16, 95% CI 1.6– 134,059.8). For high-risk NASH, Real-Time Elastography showing the highest performance (DOR 18.1, 95% CI 0.7– 96.33). Meta-regression analyses suggested that variability in the diagnostic accuracy of NITs for NAFLD may result from differences in study design, thresholds, populations, and performance indicators.Conclusion: We conducted a network meta-analysis to rank the accuracy of these tests. While some results are promising, not all NITs demonstrate substantial accuracy, highlighting the need for validation with larger datasets. Future research should concentrate on studying the thresholds of NITs and enhancing the clarity of methodological reporting.Keywords: NAFLD, NIT, obesity, NMA, diagnostic |
|---|---|
| ISSN: | 1179-1349 |