Effectiveness of body roundness index for the prediction of nonalcoholic fatty liver disease: a systematic review and meta-analysis
Open accessAbstract
BACKGROUND: Several anthropometric indices, such as body mass index and waist circumference, have been used as clinical screening tools for the prediction of nonalcoholic fatty liver disease (NAFLD). To further refine these clinical tools for NAFLD, the body roundness index (BRI) has recently been evaluated. In this systematic review and meta-analysis, the objective was to evaluate the relationship and predictive capability of the BRI in identifying NAFLD. METHODS: A comprehensive search was conducted in PubMed, Embase, Web of Science, and Scopus up to December 31, 2024. Eligibility criteria included observational studies on adults (≥ 18 years old) with measured BRI and its association with NAFLD. The Joanna Briggs Institute tool was used for risk of bias assessment. Meta-analyses used random-effects models to pool data on mean difference, odds ratio, sensitivity, specificity, and the area under the curve (AUC), with heterogeneity and publication bias assessed. RESULTS: Ten studies involving 59,466 participants were included. The pooled mean difference in BRI between the NAFLD and non-NAFLD groups was 1.73 (95% confidence interval [CI]: 1.31-2.15). The pooled sensitivity and specificity of BRI for diagnosing NAFLD were 0.806 and 0.692, respectively. The pooled AUC for BRI was 0.803 (95% CI: 0.775-0.830), indicating good diagnostic accuracy. Unlike subgroup analysis by country, subgroup analysis by sex showed no significant differences. Higher BRI values were associated with increased odds of NAFLD (pooled OR = 2.87, 95% CI: 1.39; 5.96). Studies provided mixed results on the predictive ability of BRI compared to other indices like body mass index, mostly favoring BRI over conventional indices. CONCLUSION: BRI demonstrates a good diagnostic performance for NAFLD, suggesting it may be a valuable clinical tool for NAFLD assessment. Further research is necessary to validate these findings and strengthen the evidence base.
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Written from the paper’s full text.
TL;DR
This systematic review and meta-analysis of 10 cross-sectional studies involving 59,466 adults found that the body roundness index (BRI) has good diagnostic accuracy for nonalcoholic fatty liver disease (NAFLD). Higher BRI was associated with greater odds of NAFLD, though heterogeneity was high and all included studies were cross-sectional.
Key findings
- The pooled mean difference in BRI between NAFLD and non-NAFLD groups was 1.73 (95% CI: 1.31–2.15); female subgroup MD was 2.07 (95% CI: 1.42–2.73) and male subgroup MD was 1.42 (95% CI: 0.81–2.03), with no statistically significant difference between sexes.
- Pooled sensitivity and specificity of BRI for diagnosing NAFLD were 0.806 and 0.692, respectively; pooled AUC was 0.803 (95% CI: 0.775–0.830), and the Reitsma-model AUC was 0.786 with partial AUC 0.801.
- Higher BRI values were associated with increased odds of NAFLD: pooled OR = 2.87 (95% CI: 1.39–5.96) per unit increase.
- Comparisons with other indices were mixed: some studies favored BRI over BMI, WC, and ABSI, while others found BMI, HSI, FLI, or TyG-related parameters had higher accuracy; country subgroup differences were significant, but sex subgroup differences were not.
Methods
- Systematic review and meta-analysis following PRISMA, registered with PROSPERO (CRD42024554538); searched PubMed, Embase, Web of Science, and Scopus to December 31, 2024 for observational studies in adults ≥18 years with measured BRI and NAFLD.
- Included 10 cross-sectional studies totaling 59,466 participants from the USA (n = 4), China (n = 2), Japan (n = 1), Taiwan (n = 1), Italy (n = 1), and Iran (n = 1); NAFLD was diagnosed by transient elastography in 4 studies and ultrasound in 6.
- Random-effects models (REML) pooled mean differences, odds ratios, sensitivity, specificity, and AUC; bivariate Reitsma model estimated AUC from sensitivity/specificity; heterogeneity assessed with I² and Cochran’s Q; subgroup analyses by sex and country, meta-regression on BMI, and Egger’s test/funnel plots for publication bias.
Limitations
- The paper states significant heterogeneity among included studies; cross-sectional designs preclude establishing cause-and-effect; NAFLD diagnostic methods varied and none used liver biopsy; there is no consensus on optimal BRI cut-off values; and heterogeneous reporting prevented pooling all included studies.
- Evident from the text: all included studies were cross-sectional, heterogeneity was very high (e.g., I² = 100% for the mean difference analysis and 96% for the AUC analysis), and country subgroup differences were significant, which may limit generalizability.
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Claims the paper makes
19 of 26 cited sources checked · 10 supported · 1 flagged · accuracy not yet measured
- Premisecitation
BRI outperformed other common anthropometric obesity-related measures, including BMI, WC, and ABSI, in assessing NAFLD risk.
“Additionally, BRI outperformed other common anthropometric obesity‐related measures, including BMI, WC, and a body shape index (ABSI), in assessing NAFLD risk [13].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [13] Jiang N, et al. Association between body roundness index and non-alcoholic fatty liver disease detected by fibroscan in America. J Clin Lab Anal. 2023;37(19–20):e24973. source
- Premisecitation
A study using data from a large cross-sectional survey found that participants with NAFLD had a higher BRI level compared to those in the non-NAFLD group.
“A study using data from a large cross-sectional survey found that participants with NAFLD had a higher BRI level compared to those in the non‐NAFLD group, and the prevalence of NAFLD was found to have a positive association with BRI, regardless of age, gender, and BMI.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [13] Jiang N, et al. Association between body roundness index and non-alcoholic fatty liver disease detected by fibroscan in America. J Clin Lab Anal. 2023;37(19–20):e24973. source
- Findingcitation
In Tian et al. [26], the OR for the 4th quartile of BRI compared to the first quartile for NAFLD was 72.08 (95% CI 48.66-106.77).
“In the study by Tian et al. [26], each quartile of BRI was compared to the first quartile regarding association with NAFLD, and their result showed the OR for the 4th quartile was 72.08 (95%CI: 48.66-106.77).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [26] Tian X, et al. Comparison of Obesity-Related indicators for nonalcoholic fatty liver disease diagnosed by transient elastography. Turk J Gastroenterol. 2023;34(10):1078–87. source
The Results section (Characteristics of the Study Population; page unavailable) says that NAFLD odds ratios increased across quartiles of each obesity-related index, which includes BRI. Our copy does not provide the claimed fourth-versus-first-quartile OR of 72.08 or its 95% CI of 48.66–106.77. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingcitation
Xie et al. [25] showed that the OR for the 4th quartile of BRI was 50.41 (28.71, 88.53) compared to the first quartile.
“Moreover, Xie et al. [25] showed that the OR for the 4th quartile was 50.41 (28.71, 88.53) compared to the first quartile (Table 2).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [25] Xie FF, et al. Comparison of obesity-related indices for identifying nonalcoholic fatty liver disease: a population-based cross-sectional study in China. Volume 20. LIPIDS IN HEALTH AND DISEASE; 2021. 1. source
- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Premisecitation
Liver biopsy is the gold standard for diagnosing and grading NAFLD.
“Although liver biopsy is the gold standard for diagnosing and grading NAFLD, however, it can not be used as a screening tool [39].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [39] Ando Y, Jou JH. Nonalcoholic fatty liver disease and recent guideline updates. Clin Liver Dis (Hoboken). 2021;17(1):23–8. source
In “How Should NAFLD Be Diagnosed, and How Should It Be Monitored?”, the review calls liver histology the gold standard for distinguishing steatohepatitis from simple steatosis and staging fibrosis. It also says biopsy should be considered only in select individuals because of its invasiveness and cost, supporting the screening limitation. It does not call biopsy the gold standard for diagnosing NAFLD generally; the review says diagnosis can use imaging or histology. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
BRI has been recognized as a reliable indicator for assessing NAFLD-associated conditions such as T2DM, insulin resistance, and metabolic syndrome.
“It has been recognized as a reliable indicator for assessing NAFLD-associated conditions such as T2DM, insulin resistance, and metabolic syndrome [45, 46].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [45] Zhao Q, et al. Capacity of a body shape index and body roundness index to identify diabetes mellitus in Han Chinese people in Northeast China: a cross-sectional study. Diabet Med. 2018;35(11):1580–7. source
- cites [46] Li Z, et al. Non-linear relationship between the body roundness index and metabolic syndrome: data from National health and nutrition examination survey (NHANES) 1999–2018. Br J Nutr. 2024;131(11):1852–9. source
The Conclusions (page unavailable) identify BRI as a better predictor of metabolic syndrome than other traditional anthropometric indices. The paper describes insulin resistance as a characteristic of metabolic syndrome and notes a relationship between metabolic syndrome and type 2 diabetes, but it does not establish BRI as an indicator for assessing either condition separately or in a NAFLD population. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Findingown data
Subgroup analysis by sex showed no significant differences.
“Unlike subgroup analysis by country, subgroup analysis by sex showed no significant differences.”
Quote in the paperNot a substantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
Higher BRI values were associated with increased odds of NAFLD (pooled OR = 2.8747, 95% CI 1.3862-5.9616 per unit increase).
“Higher BRI values were associated with increased odds of NAFLD (pooled OR = 2.87, 95% CI: 1.39; 5.96).”
- Also stated in: § Association of BRI with NAFLD · hedged
“The random effects model indicated a pooled OR of 2.8747 (95% CI: 1.3862; 5.9616, z = 2.84, p = 0.0045) for each unit increase in BRI, suggesting a statistically significant positive association between BRI and NAFLD.”
Quote in the paperSubstantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Also stated in: § Association of BRI with NAFLD · hedged
- Findingown data
The pooled mean difference in BRI between the NAFLD and non-NAFLD groups was 1.73 (95% CI 1.31-2.15).
“The pooled mean difference in BRI between the NAFLD and non-NAFLD groups was 1.73 (95% confidence interval [CI]: 1.31–2.15).”
- Also stated in: § Mean BRI in NAFLD vs. Non-NAFLD groups · plain
“The random effects model, which accounts for between-study variability, yielded a pooled MD of 1.73 (95% CI: 1.31–2.15, z = 8.10, p < 0.0001).”
Quote in the paperSubstantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Also stated in: § Mean BRI in NAFLD vs. Non-NAFLD groups · plain
- Findingown data
The pooled sensitivity of BRI for diagnosing NAFLD was 0.806.
“The pooled sensitivity and specificity of BRI for diagnosing NAFLD were 0.806 and 0.692, respectively.”
- Also stated in: § Diagnostic accuracy of BRI in NAFLD · boosted
“The pooled sensitivity from the random-effects model was 0.806 (95% CI: 0.768–0.840), demonstrating significant heterogeneity (I² = 96%, p < 0.0001).”
Quote in the paperSubstantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Also stated in: § Diagnostic accuracy of BRI in NAFLD · boosted
- Findingown data
Subgroup analysis by country showed significant differences.
“A test for subgroup differences by country using the random effects model revealed significant variability between subgroups (Q = 75.88, df = 5, p < 0.0001), indicating that the effect sizes varied significantly across countries (Supplementary Fig. 1).”
Quote in the paperNot a substantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
The pooled specificity of BRI for diagnosing NAFLD was 0.692.
“The pooled sensitivity and specificity of BRI for diagnosing NAFLD were 0.806 and 0.692, respectively.”
Quote in the paperSubstantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
Ten studies involving 59,466 participants were included in the systematic review and meta-analysis.
“Ten studies involving 59,466 participants were included.”
- Also stated in: § Study characteristics and risk of bias assessment · plain
“Overall, ten studies from countries including the USA (n = 4), China (n = 2), Japan (n = 1), Taiwan (n = 1), Italy (n = 1), and Iran (n = 1) were included.”
- Also stated in: § Study characteristics and risk of bias assessment · plain
“All studies had a cross-sectional design, and the total number of participants was 59,466.”
Quote in the paperSubstantial claim - Also stated in: § Study characteristics and risk of bias assessment · plain
- Findingown data
The pooled AUC for BRI in diagnosing NAFLD was 0.803 (95% CI 0.775-0.830).
“The pooled AUC for BRI was 0.803 (95% CI: 0.775–0.830), indicating good diagnostic accuracy.”
- Also stated in: § Diagnostic accuracy of BRI in NAFLD · plain
“The random effects model revealed a pooled AUC of 0.803 (95% CI: 0.775–0.830, z = 57.16, p < 0.0001), indicating a good diagnostic performance.”
Quote in the paperSubstantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Also stated in: § Diagnostic accuracy of BRI in NAFLD · plain
- Findingown data
Based on the Reitsma method, the estimated average sensitivity of BRI in diagnosing NAFLD was 0.806 (95% CI 0.765-0.841).
“Based on the Reitsma method, the estimated average sensitivity of the BRI in diagnosing NAFLD was 0.806, with a 95% CI between 0.765 and 0.841.”
Quote in the paperSubstantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
BRI had good discriminatory power for NAFLD.
“The analysis revealed that BRI significantly correlated with NAFLD and had good discriminatory power for NAFLD, indicating its clinical usefulness for NAFLD assessment.”
Quote in the paperSubstantial claim - Findingown data
The average false positive rate (1 - specificity) was 0.308 (95% CI 0.283-0.334).
“The average false positive rate, or 1 - specificity, was calculated at 0.308, with a 95% CI ranging from 0.283 to 0.334.”
Quote in the paperSubstantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
Comparison between female and male subgroups for AUC showed a difference of -0.04 (95% CI -0.12 to 0.04, z = -0.94, p = 0.3449), indicating no significant difference.
“The comparison between the subgroups showed a difference of -0.04 (95% CI: -0.12-0.04, z = -0.94, p = 0.3449), indicating no significant difference in diagnostic performance between female and male subgroups (Fig. 6).”
Quote in the paperNot a substantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
Subgroup analysis by country revealed significant differences in AUC (Q = 39.54, df = 5, p < 0.0001).
“Subgroup analysis using the random effects model revealed significant differences in AUC across countries (Q = 39.54, df = 5, p < 0.0001) (Supplementary Fig. 3).”
Quote in the paperNot a substantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
BRI significantly correlated with NAFLD.
“The analysis revealed that BRI significantly correlated with NAFLD and had good discriminatory power for NAFLD, indicating its clinical usefulness for NAFLD assessment.”
Quote in the paperSubstantial claim - Findingown data
In the female subgroup, the pooled MD of BRI was 2.07 (95% CI 1.42-2.73).
“In the female subgroup, which included five studies, the random effects model provided a pooled MD of 2.07 (95% CI: 1.42–2.73, z = 6.18, p < 0.0001).”
Quote in the paperNot a substantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
There were no statistically significant differences between male and female subgroups in diagnostic performance for NAFLD.
“Finally, there were no statistically significant differences between the male and female subgroups, indicating that the index can be used in all adults.”
- Also stated in: § Conclusion · plain
“Subgroup analysis showed no statistically significant difference in diagnostic performance between female and male subgroups.”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · plain
- Findingown data
Significant heterogeneity was present among studies for the pooled MD (I2 = 100%, Q = 58033.64, df = 13, p < 0.0001).
“The analysis showed significant heterogeneity among the studies, as indicated by the I² statistic of 100% (Q = 58033.64, df = 13, p < 0.0001) (Fig. 2).”
Quote in the paperNot a substantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingnone given
In the majority of included studies, the optimal BRI cut-off value for predicting NAFLD was greater than 4.
“In the majority of studies included in this systematic review, the optimal BRI cut-off value for predicting NAFLD was found to be greater than 4.”
Quote in the paperNot a substantial claim - Findingown data
Subgroup differences by country for MD were significant (Q = 75.88, df = 5, p < 0.0001).
“A test for subgroup differences by country using the random effects model revealed significant variability between subgroups (Q = 75.88, df = 5, p < 0.0001), indicating that the effect sizes varied significantly across countries (Supplementary Fig. 1).”
Quote in the paperNot a substantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
The meta-analysis included 11 evaluations of the sensitivity and specificity of BRI in diagnosing NAFLD.
“The meta-analysis included 11 evaluations of the sensitivity and specificity of the BRI in diagnosing NAFLD.”
Quote in the paperSubstantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
In the female subgroup, the pooled AUC was 0.820 (95% CI 0.771-0.868).
“For the female subgroup, comprising five studies, the random effects model estimated the pooled AUC at 0.820 (95% CI: 0.771–0.868, z = 33.16, p < 0.0001).”
Quote in the paperNot a substantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
The meta-analysis included 14 evaluations assessing the diagnostic accuracy of BRI for diagnosing NAFLD.
“The meta-analysis included 14 evaluations assessing the diagnostic accuracy of the BRI for diagnosing NAFLD.”
Quote in the paperSubstantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
In the male subgroup, the pooled MD of BRI was 1.42 (95% CI 0.81-2.03).
“The male subgroup analysis, which also included five studies, showed a pooled MD of BRI of 1.42 (95% CI: 0.81–2.03, z = 4.55, p < 0.0001).”
Quote in the paperNot a substantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
The AUC was 0.786.
“The AUC was 0.786, indicating good overall diagnostic accuracy of the BRI in identifying NAFLD.”
Quote in the paperSubstantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
Meta-regression showed no significant association between BMI and AUC (β = -0.0010, SE = 0.0052, z = -0.1926, p = 0.8472; 95% CI -0.0113 to 0.0093).
“The model revealed no significant association between BMI and AUC (β = -0.0010, SE = 0.0052, z = -0.1926, p = 0.8472; 95% CI: -0.0113 to 0.0093).”
Quote in the paperNot a substantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
In the female subgroup, the pooled sensitivity of BRI was 0.852 (95% CI 0.816-0.883).
“The sensitivity analysis for the female subgroup, also based on four studies, showed a pooled sensitivity of 0.852 (95% CI: 0.816–0.883), with substantial heterogeneity (I² = 83%, p = 0.0005).”
Quote in the paperNot a substantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
Higher BRI values were associated with increased odds of having NAFLD.
“Furthermore, higher BRI values were associated with increased odds of having NAFLD.”
Quote in the paperSubstantial claim - Findingown data
Significant heterogeneity was present among included studies for OR (Q = 2620.33, df = 6, p < 0.001, I2 = 99.8%).
“Significant heterogeneity was present among the included studies (Q = 2620.33, df = 6, p < 0.001), with an I² value of 99.8%, indicating that a substantial portion of the observed variability is due to differences between the studies rather than random chance (Fig. 7).”
Quote in the paperNot a substantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
Significant heterogeneity was present among studies for AUC (Q = 348.24, df = 13, p < 0.0001, I2 = 96%).
“There was significant heterogeneity among the studies (Q = 348.24, df = 13, p < 0.0001), with an I² value of 96% (Fig. 6).”
Quote in the paperNot a substantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
The I2 estimate based on the Holling sample size unadjusted approach ranged from 89.9 to 95.7%, indicating high heterogeneity.
“I² estimate based on the Holling sample size unadjusted approach ranged from 89.9 to 95.7%, indicating high heterogeneity.”
Quote in the paperNot a substantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
All included studies had a cross-sectional design.
“All studies had a cross-sectional design, and the total number of participants was 59,466.”
Quote in the paperNot a substantial claim - Findingown data
There was no statistically significant difference between male and female subgroups in MD (coefficient -0.65, SE 0.46, z = -1.43, p = 0.1538, 95% CI -1.55 to 0.24).
“The results showed no statistically significant difference between male and female subgroups (estimated coefficient: -0.65, SE = 0.46, z = -1.43, p = 0.1538, 95% CI: -1.55-0.24) (Fig. 2).”
Quote in the paperNot a substantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
In the male subgroup, the pooled specificity of BRI was 0.711 (95% CI 0.678-0.742).
“For the male subgroup, the specificity analysis included four studies, resulting in a pooled specificity of 0.711 (95% CI: 0.678–0.742), with significant heterogeneity (I² = 91%, p < 0.0001).”
Quote in the paperNot a substantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
In the male subgroup, the pooled AUC was 0.781 (95% CI 0.718 to 0.843).
“The male subgroup analysis, also consisting of five studies, showed a pooled AUC of 0.781 (95% CI: 0.718 to 0.843, z = 24.42, p < 0.0001) under the random effects model.”
Quote in the paperNot a substantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
In the female subgroup, the pooled specificity of BRI was 0.678 (95% CI 0.622-0.729).
“The specificity analysis for the female subgroup, also based on four studies, showed a pooled specificity of 0.678 (95% CI: 0.622–0.729), with significant heterogeneity (I² = 97%, p < 0.0001) (Fig. 4).”
Quote in the paperNot a substantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
The partial AUC, adjusted for the observed false positive rates, was 0.801.
“The partial AUC, adjusted for the observed false positive rates, was 0.801, further supporting the BRI’s diagnostic utility.”
Quote in the paperNot a substantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingown data
In the male subgroup, the pooled sensitivity of BRI was 0.763 (95% CI 0.694-0.822).
“The sensitivity analysis for the male subgroup included four studies, yielding a pooled sensitivity of 0.763 (95% CI: 0.694–0.822), with high heterogeneity (I² = 97%, p < 0.0001).”
Quote in the paperNot a substantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Findingreasoning
Results regarding the comparison of predictive ability in identifying NAFLD were controversial.
“Results regarding the comparison of predictive ability in identifying NAFLD were controversial.”
Quote in the paperSubstantial claim - Interpretationown data
BRI demonstrates good diagnostic performance for NAFLD.
“BRI demonstrates a good diagnostic performance for NAFLD, suggesting it may be a valuable clinical tool for NAFLD assessment.”
- Also stated in: § Diagnostic accuracy of BRI in NAFLD · hedged
“The AUC was 0.786, indicating good overall diagnostic accuracy of the BRI in identifying NAFLD.”
Quote in the paperSubstantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Also stated in: § Diagnostic accuracy of BRI in NAFLD · hedged
- Interpretationreasoning
BRI may be a valuable clinical tool for NAFLD assessment.
“BRI demonstrates a good diagnostic performance for NAFLD, suggesting it may be a valuable clinical tool for NAFLD assessment.”
Quote in the paperSubstantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Interpretationown data
BRI can be used in all adults.
“indicating that the index can be used in all adults.”
Quote in the paperSubstantial claim - Interpretationown data
BRI is a good predictor of NAFLD.
“The current meta-analysis, including data on more than 59,000 individuals, is the first to demonstrate that BRI, a new body composition metric, is a good predictor of NAFLD.”
- Also stated in: § Discussion · boosted
“The results of this study established that BRI is a valuable tool and a powerful predictor of NAFLD.”
- Also stated in: § Conclusion · boosted
“In conclusion, BRI demonstrated a good diagnostic performance for NAFLD based on the findings of this study.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · boosted
- Premisecitation
Liver biopsy cannot be used as a screening tool due to its invasiveness, high cost, and limited availability.
“This is due to the limitations of biopsy, including its invasiveness, high cost, and limited availability [40].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] Gonzalez H, Jafri S, Gordon S. Role of liver biopsy in the era of Direct-Acting antivirals. Curr Gastroenterol Rep. 2013;15:307. source
- Interpretationown data
Higher BMI values were associated with larger MDs for BRI.
“This suggests that higher BMI values were associated with larger MDs for BRI.”
Quote in the paperNot a substantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Interpretationreasoning
BRI has clinical usefulness for NAFLD assessment.
“indicating its clinical usefulness for NAFLD assessment.”
Quote in the paperSubstantial claim - Interpretationown data
BMI did not significantly moderate the diagnostic accuracy of BRI.
“This suggests that BMI did not significantly moderate the diagnostic accuracy of the BRI.”
Quote in the paperSubstantial claim- Rests on an assumption: The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
- Interpretationown data
The current meta-analysis is the first to demonstrate that BRI is a good predictor of NAFLD.
“The current meta-analysis, including data on more than 59,000 individuals, is the first to demonstrate that BRI, a new body composition metric, is a good predictor of NAFLD.”
Quote in the paperSubstantial claim - Study design and conductown data
There was no strong evidence of publication bias.
“The test result was not statistically significant (t = -1.44, df = 12, p = 0.1752), indicating no strong evidence of publication bias.”
Quote in the paperNot a substantial claim - Study design and conductown data
All included studies were eligible based on the JBI risk of bias assessment.
“After assessing the risk of bias in the included studies based on the JBI tool, all studies were eligible to be included in the analyses (Supplementary Table 2).”
Quote in the paperSubstantial claim - Study design and conductreasoning
Due to the cross-sectional design of the included studies, it is not possible to establish a cause-and-effect relationship between BRI and NAFLD.
“Due to the cross-sectional design of the included studies, it is not possible establish a cause-and-effect relationship between the BRI and NAFLD.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Among the indices studied, BMI is not a reliable, strong diagnostic tool for NAFLD.
“However, among the indices studied, BMI is not a reliable, strong diagnostic tool for NAFLD.”
Quote in the paperSubstantial claim - Study design and conductown data
The limited number of included studies and high heterogeneity warrant cautious interpretation of the findings.
“While BRI appears to be a promising and cost-effective tool for NAFLD screening, the limited number of included studies and high heterogeneity among them warrant cautious interpretation of these findings.”
Quote in the paperSubstantial claim - Interpretationreasoning
These results highlight the possible utility of BRI as a non-invasive tool for assessing NAFLD.
“These results highlight the possible utility of BRI as a non-invasive tool for assessing NAFLD.”
Quote in the paperSubstantial claim- Rests on an assumption: Non-invasive anthropometric measures are affordable, cost-effective, easily implementable, and valuable for early detection and risk stratification of NAFLD.
- Premisecitation
Higher BRI values are related to greater visceral fat accumulation.
“BRI has a strong correlation with obesity, and higher BRI values are related to a greater accumulation of visceral fat [11].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] Rico-Martín S, et al. Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta-analysis. Obes Rev. 2020;21(7):e13023. source
- Study design and conductreasoning
There was significant and considerable heterogeneity among the included studies.
“There was significant and considerable heterogeneity among the included studies.”
Quote in the paperSubstantial claim - Study design and conductnone given
There is no consensus on the optimal cut-off values of BRI in the included studies.
“Additionally, there is no consensus on the optimal cut-off values of BRI in the included studies.”
Quote in the paperNot a substantial claim - Premisecitation
BRI has a strong correlation with obesity.
“BRI has a strong correlation with obesity, and higher BRI values are related to a greater accumulation of visceral fat [11].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] Rico-Martín S, et al. Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta-analysis. Obes Rev. 2020;21(7):e13023. source
- Classified as probably not a substantial claim. 25
- May combine two claims. 17
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataTwo full-text studies were excluded due to being non-English and not reporting BRI.
“Upon conducting a thorough full-text review of these 12 studies, two were excluded due to being non-English [22] and not reporting BRI [23].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [22] Renyuan W, et al. Predictive value of different body obesity measures for nonalcoholic fatty liver disease. Chin J Health Manage. 2023;17(8):591–7.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [23] Suvarna R, et al. Anthropometric indices and type 2 diabetes mellitus as a risk factor in predicting nonalcoholic fatty liver Disease - A prospective study in Indian population. Indian J Community Med. 2022;47(3):386–90. source
Citation [23] is attached to the assertion that this study did not report BRI. The Results section explicitly reports a significant association between BRI and fatty-liver grade (P = 0.010) and gives a BRI correlation coefficient of 0.237. The non-English exclusion is attached to a different citation, [22]. (LLM, conf=0.94)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAnother population-based cross-sectional study discovered that BRI and WHtR have stronger correlations with NAFLD compared to ABSI and WHR.
“Another population-based cross-sectional study discovered that BRI and waist-to-height ratio (WHtR) have stronger correlations with NAFLD compared to ABSI and waist-to-hip ratio (WHR) [14].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [14] Motamed N, et al. Body roundness index and Waist-to-Height ratio are strongly associated with Non-Alcoholic fatty liver disease: A Population-Based study. Hepat Mon. 2016;16(9):e39575. source
May combine two claims.
PremisecitationBRI has limitations including the need for further validation in diverse populations and the lack of clear evidence demonstrating its superiority over conventional biomarkers in all clinical contexts.
“However, its limitations include the need for further validation in diverse populations and the lack of clear evidence demonstrating its superiority over conventional biomarkers in all clinical contexts [12].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [12] Kang SM, et al. Android fat depot is more closely associated with metabolic syndrome than abdominal visceral fat in elderly people. PLoS ONE. 2011;6(11):e27694. source
The Discussion (page unavailable) calls for further study because findings about DXA-measured android fat came from a small, single cohort of older adults. Our copy does not address BRI or its validation across populations or clinical contexts; searches for BRI, diverse-population validation, and superiority over conventional biomarkers found no relevant passage. (LLM, conf=0.78)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThis systematic review and meta-analysis adhered to PRISMA guidelines.
“This systematic review and meta-analysis adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [15].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [15] Page MJ, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. PLoS Med. 2021;18(3):e1003583. source
Classified as probably not a substantial claim.
PremisecitationThe prevalence of NAFLD was found to have a positive association with BRI, regardless of age, gender, and BMI.
“A study using data from a large cross-sectional survey found that participants with NAFLD had a higher BRI level compared to those in the non‐NAFLD group, and the prevalence of NAFLD was found to have a positive association with BRI, regardless of age, gender, and BMI.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [13] Jiang N, et al. Association between body roundness index and non-alcoholic fatty liver disease detected by fibroscan in America. J Clin Lab Anal. 2023;37(19–20):e24973. source
May combine two claims.
PremisecitationBRI offers potential advantages, such as incorporating both height and WC to provide a more comprehensive estimate of body composition, which may better reflect visceral adiposity compared to BMI alone.
“BRI offers potential advantages, such as incorporating both height and waist circumference (WC) to provide a more comprehensive estimate of body composition, which may better reflect visceral adiposity compared to body mass index (BMI) alone.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [12] Kang SM, et al. Android fat depot is more closely associated with metabolic syndrome than abdominal visceral fat in elderly people. PLoS ONE. 2011;6(11):e27694. source
The Results (Table 2; page unavailable) report separate correlations of BMI and waist circumference with visceral fat, while the Discussion addresses DXA and CT assessment of body composition. Searches for “body roundness index,” “BRI,” and height-and-waist-based estimation found no passage defining BRI or comparing its estimate of visceral adiposity with BMI. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn 2013, Thomas DM and colleagues presented the body roundness index (BRI) as a predictor of visceral adiposity tissue and body fat percentage.
“In 2013, Thomas DM and colleagues presented the body roundness index (BRI) as a predictor of visceral adiposity tissue and body fat percentage [10].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [10] Thomas DM, et al. Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model. Obes (Silver Spring). 2013;21(11):2264–71. source
May combine two claims.
PremisecitationImaging techniques are not ideal for mass screening due to significant drawbacks including high cost, lack of safety, lack of consensus, limited accessibility, and complexity.
“However, these methods are usually used for disease diagnosis and are not ideal for mass screening due to significant drawbacks, including high cost (CT and MRI scans), lack of safety (CT scans), lack of consensus (biomarker-based indices), limited accessibility (transient elastography, MRI scans), and complexity (MRI scans) [41, 42].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [41] Jang W, Song JS. Non-Invasive imaging methods to evaluate Non-Alcoholic fatty liver disease with fat quantification: A review. Diagnostics. 2023;13(11):1852. source
The Conclusions (page not provided) identify MRI as costly and time-consuming and CT radiation exposure as a drawback. They do not say these methods are unsuitable for mass screening or substantiate CT cost, lack of consensus for biomarker-based indices, or limited access to transient elastography and MRI. The review instead describes CT as readily available. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [42] Kechagias S, et al. Non-invasive diagnosis and staging of non-alcoholic fatty liver disease. Hormones. 2022;21(3):349–68. source
The Steatosis sections on computed tomography and magnetic resonance techniques (pages not provided) support CT radiation exposure and MRI’s cost, limited availability, and time demands. The serum-biomarker section says no algorithm can yet be recommended as an initial NAFLD screening tool. The copy does not identify high CT cost as a drawback, and the Clinical implications section calls VCTE the most widely available liver-stiffness measurement device, rather than describing it as having limited accessibility. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
FindingreasoningTwo studies [24, 25] were rated as low-quality evidence due to serious limitations in risk of bias, supporting weak recommendations.
“Two studies [24, 25] were rated as low-quality evidence due to serious limitations in risk of bias, supporting weak recommendations.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [24] Lin IT et al. Gender differences in the relationships among metabolic syndrome and various Obesity-Related indices with nonalcoholic fatty liver disease in a Taiwanese population. Int J Environ Res Public Health, 2021. 18(3). source
- cites [25] Xie FF, et al. Comparison of obesity-related indices for identifying nonalcoholic fatty liver disease: a population-based cross-sectional study in China. Volume 20. LIPIDS IN HEALTH AND DISEASE; 2021. 1. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe certainty of evidence for each outcome was assessed using the GRADE framework.
“The certainty of evidence for each outcome was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) framework [16].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [16] Santesso N, et al. GRADE guidelines 26: informative statements to communicate the findings of systematic reviews of interventions. J Clin Epidemiol. 2020;119:p126–135. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBRI incorporates additional body shape dimensions, including WC and height, to evaluate obesity and its associated health risks.
“Unlike conventional obesity-related anthropometric indices such as BMI, which primarily consider weight and height, BRI incorporates additional body shape dimensions, including WC and height, to accurately evaluate obesity and its associated health risks [10].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [10] Thomas DM, et al. Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model. Obes (Silver Spring). 2013;21(11):2264–71. source
The Introduction describes BRI as a measure of body girth relative to height, and the Results report slightly improved predictions of body fat and visceral adipose tissue compared with BMI. But the Discussion says it remains to be shown how BRI relates to mortality and other health markers, so the claim that it accurately evaluates associated health risks goes beyond the paper's findings. No page numbers are available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
Findingnone givenStudies provided mixed results on the predictive ability of BRI compared to other indices like BMI, mostly favoring BRI over conventional indices.
“Studies provided mixed results on the predictive ability of BRI compared to other indices like body mass index, mostly favoring BRI over conventional indices.”
Quote in the paperSubstantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAfter merging and removing duplicates, 23 unique studies remained.
“After merging the results and removing duplicate entries, the number of unique studies was reduced to 23.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe initial search yielded 70 results, with 14 from Embase, 16 from Web of Science, 17 from PubMed, and 23 from Scopus.
“The initial search yielded a total of 70 results, with 14 results from Embase, 16 from Web of Science, 17 from PubMed, and 23 from Scopus.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe controlled attenuation parameter (CAP) cut-off in transient elastography varied from 248 to 274 dB/m.
“The controlled attenuation parameter (CAP) cut-off in transient elastography varied from 248 to 274 dB/m.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe meta-analysis included data on more than 59,000 individuals.
“including data on more than 59,000 individuals”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenA consistent dose-response relationship was observed across multiple studies, with higher exposure levels associated with significantly increased odds of outcomes.
“A consistent dose-response relationship was observed across multiple studies, with higher exposure levels associated with significantly increased odds of outcomes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataTransient elastography and ultrasound were used to diagnose NAFLD in four and six studies, respectively.
“Transient elastography and ultrasound were used to diagnose NAFLD in four and six studies, respectively.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataTwenty-three studies were screened, leading to selection of 12 studies for full-text review.
“These 23 studies were screened for eligibility based on their titles and abstracts, leading to the selection of 12 studies for a full-text review.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingown dataThe meta-analysis incorporated data from 7 evaluations to evaluate the association between BRI and the odds of NAFLD.
“The meta-analysis incorporated data from 7 evaluations to evaluate the association between the BRI and the odds of NAFLD.”
Quote in the paperSubstantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
The quote only partly states this claim.
Findingown dataMeta-regression showed a significant positive association between BMI and the effect size for MD (β = 0.1994, SE = 0.0552, z = 3.6145, p = 0.0003; 95% CI 0.0913 to 0.3075).
“The model revealed a significant positive association between BMI and the effect size (β = 0.1994, SE = 0.0552, z = 3.6145, p = 0.0003; 95% CI: 0.0913 to 0.3075).”
Quote in the paperNot a substantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataTen studies from countries including the USA (n = 4), China (n = 2), Japan (n = 1), Taiwan (n = 1), Italy (n = 1), and Iran (n = 1) were included.
“Overall, ten studies from countries including the USA (n = 4), China (n = 2), Japan (n = 1), Taiwan (n = 1), Italy (n = 1), and Iran (n = 1) were included.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPublication bias was undetected in all studies, and no significant issues with inconsistency, indirectness, or imprecision were identified in the majority of the evidence.
“Publication bias was undetected in all studies, and no significant issues with inconsistency, indirectness, or imprecision were identified in the majority of the evidence.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBased on GRADE, 8 of 10 studies provided moderate-quality evidence, supporting strong recommendations for the association between exposure variables and outcomes in NAFLD patients.
“Based on GRADE, the majority of studies (8 out of 10) provided moderate-quality evidence, supporting strong recommendations for the association between exposure variables and outcomes in NAFLD patients.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe meta-analysis included 14 evaluations of the association between BRI and NAFLD.
“The meta-analysis included a total of 14 evaluations of the association between BRI and NAFLD.”
Quote in the paperNot a substantial claim- Rests on an assumption: The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBRI has been found to effectively predict metabolic syndrome in men and women from various subgroups.
“BRI has been found to effectively predict metabolic syndrome in men and women from various subgroups [11].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] Rico-Martín S, et al. Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta-analysis. Obes Rev. 2020;21(7):e13023. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThis systematic review and meta-analysis was registered with PROSPERO under registration number CRD42024554538.
“This systematic review and meta-analysis was registered with the International Prospective Register of Systematic Reviews (PROSPERO) under the registration number CRD42024554538.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationPublication bias was evaluated using Egger's test and visual inspection of funnel plots.
“Publication bias was evaluated using Egger’s test [21] and visual inspection of funnel plots.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Egger M, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–34. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningTwo reviewers independently assessed risk of bias using the Joanna Briggs Institute Critical Appraisal Checklist for Analytical Cross-Sectional Studies.
“As the study design of all included studies was cross-sectional, two reviewers (PF and AH) independently assessed the risk of bias in the included studies using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Analytical Cross-Sectional Studies (https://jbi.global/critical-appraisal-tools).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenTwo independent reviewers extracted data using a standardized data extraction form, with discrepancies resolved through discussion or third reviewer.
“Two independent reviewers (PF and SK) extracted data using a standardized data extraction form.”
- Also stated in: § Data extraction · plain
“Discrepancies between reviewers were resolved through discussion or consultation with the third reviewer (AH).”
Quote in the paperNot a substantial claim- Also stated in: § Data extraction · plain
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenVarious factors such as age, sex, comorbidities, and ethnicity could influence the diagnostic accuracy of anthropometric indices.
“Various factors, such as age, sex, comorbidities, and ethnicity, could influence the diagnostic accuracy of anthropometric indices.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductnone givenNot all studies used the same method to diagnose NAFLD, and none used liver biopsy.
“Not all studies used the same method to diagnose NAFLD in participants, and none of them used liver biopsy, the gold standard for NAFLD diagnosis.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThis study is the first systematic review and meta-analysis of BRI in patients with NAFLD.
“In the available literature, this study is the first systematic review and meta-analysis of BRI in patients with NAFLD.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe substantial heterogeneity could stem from variations in participants' comorbid conditions, study design, concomitant drug use, NAFLD diagnostic methods, dietary habits, adjusted covariates, and BRI threshold values.
“This substantial heterogeneity could stem from variations in the participants’ comorbid conditions and other characteristics, variations in study design, concomitant drug use, differences in NAFLD diagnostic methods, dietary habits, different adjusted covariates, and threshold values for the BRI.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThe included studies had heterogeneous methods for reporting data, so pooling all included studies was not possible.
“Lastly, the included studies had heterogeneous methods for reporting data; thus, pooling all included studies was not possible.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Study design and conductnone givenExtensive and rigorous methods were used to search published literature and perform meta-analysis.
“In this study, extensive and rigorous methods were used to search published literature and perform meta-analysis.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningBRI appears to be a promising and cost-effective tool for NAFLD screening.
“While BRI appears to be a promising and cost-effective tool for NAFLD screening, the limited number of included studies and high heterogeneity among them warrant cautious interpretation of these findings.”
Quote in the paperSubstantial claim- Rests on an assumption: Non-invasive anthropometric measures are affordable, cost-effective, easily implementable, and valuable for early detection and risk stratification of NAFLD.
The paper relies on this without support.
The reference standards used in the included studies (ultrasound and transient elastography with CAP cutoffs) accurately classify NAFLD.
“Transient elastography and ultrasound were used to diagnose NAFLD in four and six studies, respectively.”
“The controlled attenuation parameter (CAP) cut-off in transient elastography varied from 248 to 274 dB/m.”
The paper relies on this without support.
The BRI measurements and diagnostic accuracy estimates from the included studies are comparable enough to pool despite differences in populations, NAFLD diagnostic methods, and cutoffs.
“Since some studies have reported their data only for subgroups, the number of evaluations for each analysis differs from the included studies.”
“The meta-analysis included 14 evaluations assessing the diagnostic accuracy of the BRI for diagnosing NAFLD.”
The paper relies on this without support.
Non-invasive anthropometric measures are affordable, cost-effective, easily implementable, and valuable for early detection and risk stratification of NAFLD.
“Non-invasive anthropometric measures offer significant advantages for the initial assessment, screening, and risk stratification of NAFLD, particularly in resource-limited settings. These tools are affordable, cost-effective, and easily implementable, making them valuable for facilitating early detection and identifying individuals at risk for NAFLD.”
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentz = 8.1reported p < .0001 · recomputed p < .001
“z = 8.10, p < .0001”
- Consistentz = 6.18reported p < .0001 · recomputed p < .001
“z = 6.18, p < .0001”
- Consistentz = 4.55reported p < .0001 · recomputed p < .001
“z = 4.55, p < .0001”
- Consistentz = -1.43reported p = .1538 · recomputed p = .153
“z = -1.43, p = .1538”
- Consistentz = 3.6145reported p = .0003 · recomputed p < .001
“z = 3.6145, p = .0003”
- Consistentz = 57.16reported p < .0001 · recomputed p < .001
“z = 57.16, p < .0001”
- Consistentz = 33.16reported p < .0001 · recomputed p < .001
“z = 33.16, p < .0001”
- Consistentz = 24.42reported p < .0001 · recomputed p < .001
“z = 24.42, p < .0001”
- Consistentz = -0.94reported p = .3449 · recomputed p = .347
“z = -0.94, p = .3449”
- Consistentz = -0.1926reported p = .8472 · recomputed p = .847
“z = -0.1926, p = .8472”
- Consistentz = 2.84reported p = .0045 · recomputed p = .005
“z = 2.84, p = .0045”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Two different WHR odds ratios are both assigned to females
MinorThe same comparison of WHR with NAFLD gives two different odds ratios, 3.123 and 1.628, both labeled as female results, without distinguishing them otherwise.
“OR = 3.123 for females”
“OR = 1.628 for females”
Male odds ratio lies outside its confidence interval
MinorThe reported male odds ratio is 3.32, but its stated 95% confidence interval ends at 3.22.
“M (per SD): 3.32”
“(2.80–3.22)”
Xie overall median is below both sex-specific medians
MinorThe reported non-NAFLD median of 3.22 is below both the female median of 21.6 and the male median of 3.24. An overall median cannot be below both subgroup medians; the table itself notes that the female value may have been inaccurately reported.
“Non-NAFLD: 3.22 (2.72–3.84)”
“F, non-NAFLD: 21.6 (19.9–23.5)ѰM, NAFLD: 4.32 (3.73-5.00) M, non-NAFLD: 3.24 (2.75–3.84)”
Cites
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722 · cited 2× · see citing works
“The assessment of publication bias was conducted using a linear regression test of funnel plot asymmetry, as described by Egger et al. (1997).”
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Hanley, J. A., & McNeil, B. J. (1982) · Radiology · doi:10.1148/radiology.143.1.7063747 · Cited by 21,856 · cited 1× · see citing works
“In instances where the 95%CI for the AUC was not provided, the Hanley and McNeil (1982) [20] method was utilized to compute it.”
Wan, X., Wang, W., Liu, J., & Tong, T. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-135 · Cited by 11,735 · cited 1× · see citing works
“The methods developed by Wan et al. [18] and Luo et al. [19] were employed to convert median and interquartile range values into mean and standard deviation.”
How to perform a meta-analysis with R: a practical tutorial
Balduzzi, S., Rücker, G., & Schwarzer, G. (2019) · Evidence Based Mental Health · doi:10.1136/ebmental-2019-300117 · Cited by 5,827 · cited 1× · see citing works
“The statistical analysis for this meta-analysis was conducted using R version 4.4 with the ‘meta’ and ‘metafor’ packages [17].”
InfluentialThe PRISMA 2020 statement: An updated guideline for reporting systematic reviews
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · PLoS Medicine · doi:10.1371/journal.pmed.1003583 · Cited by 5,148 · cited 1× · see citing works
“This systematic review and meta-analysis adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [15].”
Luo, D., Wan, X., Liu, J., & Tong, T. (2018) · Statistical Methods in Medical Research · doi:10.1177/0962280216669183 · Cited by 4,066 · cited 1× · see citing works
“The methods developed by Wan et al. [18] and Luo et al. [19] were employed to convert median and interquartile range values into mean and standard deviation.”
MAFLD: a consensus-driven proposed nomenclature for metabolic associated fatty liver disease
Eslam, M., Sanyal, A. J., George, J., Sanyal, A., Neuschwander-Tetri, B., Tiribelli, C., Kleiner, D. E., Brunt, E., Bugianesi, E., Yki-Järvinen, H., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.11.312 · Cited by 3,286 · cited 1× · see citing works
“Recently, the nomenclature of NAFLD has been changed to metabolic dysfunction associated steatotic liver disease (MASLD) for a more precise reflection of its pathogenesis [7].”
Long-term follow-up of patients with NAFLD and elevated liver enzymes
Ekstedt, M., Franzén, L. E., Mathiesen, U. L., Thorelius, L., Holmqvist, M., Bodemar, G., & Kechagias, S. (2006) · Hepatology · doi:10.1002/hep.21327 · Cited by 2,302 · cited 1× · see citing works
“NAFLD comprises a range of histopathological conditions, including simple steatosis, nonalcoholic steatohepatitis (NASH), progressive cirrhosis, end-stage liver disease, and hepatocellular carcinoma (HCC) [2, 3].”
Santesso, N., Glenton, C., Dahm, P., Garner, P., Akl, E. A., Alper, B., Brignardello-Petersen, R., Carrasco-Labra, A., De Beer, H., Hultcrantz, M., et al. (2020) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2019.10.014 · Cited by 1,198 · cited 1× · see citing works
“The certainty of evidence for each outcome was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) framework [16].”
Thomas, D. M., Bredlau, C., Bosy-Westphal, A., Mueller, M., Shen, W., Gallagher, D., Maeda, Y., McDougall, A., Peterson, C. M., Ravussin, E., et al. (2013) · Obesity · doi:10.1002/oby.20408 · Cited by 1,074 · cited 3× · see citing works
“Unlike conventional obesity-related anthropometric indices such as BMI, which primarily consider weight and height, BRI incorporates additional body shape dimensions, including WC and height, to accurately evaluate obesity and its associated health risks [10].”
InfluentialPouwels, S., Sakran, N., Graham, Y. N. H., Leal, A., Pintar, T., Yang, W., Kassir, R., Singhal, R., Mahawar, K. K., & Ramnarain, D. (2022) · BMC Endocrine Disorders · doi:10.1186/s12902-022-00980-1 · Cited by 912 · cited 3× · see citing works
“Non-invasive assessments, including medical history, laboratory testing, and imaging, are commonly employed for preemptive diagnoses [8].”
InfluentialSumida, Y. (2014) · World Journal of Gastroenterology · doi:10.3748/wjg.v20.i2.475 · Cited by 693 · cited 1× · see citing works
“Although liver biopsy is considered the gold standard for diagnosing NAFLD/NASH, its screening application is controversial due to associated risks and limitations such as variability in sampling error, observer variability, and high costs [9].”
Li, L., Liu, D., Yan, H., Wang, Z., Zhao, S. ‐., & Wang, B. (2016) · Obesity Reviews · doi:10.1111/obr.12407 · Cited by 445 · cited 1× · see citing works
“As expected, individuals with obesity are 3.5 times more likely to develop NAFLD, and there is a clear correlation between BMI and the risk of NAFLD [50].”
InfluentialRico‐Martín, S., Calderón‐García, J. F., Sánchez‐Rey, P., Franco‐Antonio, C., Martínez Alvarez, M., & Sánchez Muñoz‐Torrero, J. F. (2020) · Obesity Reviews · doi:10.1111/obr.13023 · Cited by 355 · cited 2× · see citing works
“BRI has a strong correlation with obesity, and higher BRI values are related to a greater accumulation of visceral fat [11].”
The Gut Microbiota (Microbiome) in Cardiovascular Disease and Its Therapeutic Regulation
Rahman, M. M., Islam, F., Harun-Or-Rashid, M., Mamun, A. A., Rahaman, M. S., Islam, M. M., Meem, A. F. K., Sutradhar, P. R., Mitra, S., Mimi, A. A., et al. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.903570 · Cited by 267 · cited 1× · see citing works
“For instance, dysbiosis can lead to increased intestinal permeability, allowing endotoxins such as lipo-polysaccharides to enter the bloodstream and trigger inflammatory responses that exacerbate hepatic steatosis and fibrosis [36].”
Non-alcoholic fatty liver disease: Definition and subtypes
Han, S. K., Baik, S. K., & Kim, M. Y. (2022) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2022.0424 · Cited by 263 · cited 1× · see citing works
“Nonalcoholic fatty liver disease (NAFLD) is a condition characterized by the excessive accumulation of fat in the liver (histological presence of steatosis in more than 5% of hepatocytes) associated with insulin resistance in the absence of heavy alcohol consumption [1].”
Sheng, G., Lu, S., Xie, Q., Peng, N., Kuang, M., & Zou, Y. (2021) · Lipids in Health and Disease · doi:10.1186/s12944-021-01561-2 · Cited by 198 · cited 1× · see citing works
“Based on the study by Sheng et al., parameters associated with the triglyceride-glucose (TyG) index demonstrated the highest predictive capability, and BRI and BMI showed similar predictive power in diagnosing NAFLD [30].”
Kang, S. M., Yoon, J. W., Ahn, H. Y., Kim, S. Y., Lee, K. H., Shin, H., Choi, S. H., Park, K. S., Jang, H. C., & Lim, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027694 · Cited by 197 · cited 1× · see citing works
“However, its limitations include the need for further validation in diverse populations and the lack of clear evidence demonstrating its superiority over conventional biomarkers in all clinical contexts [12].”
Amini‐Salehi, E., Letafatkar, N., Norouzi, N., Joukar, F., Habibi, A., Javid, M., Sattari, N., Khorasani, M., Farahmand, A. M., Tavakoli, S., et al. (2024) · Archives of Medical Research · doi:10.1016/j.arcmed.2024.103043 · Cited by 182 · cited 1× · see citing works
“Approximately 30.2% of the global population is affected by NAFLD, which has recently become the primary cause of chronic liver disease, surpassing viral hepatitis [4, 5].”
InfluentialGarcía, J. F. C., Roncero‐Martín, R., Rico‐Martín, S., Jiménez, J. M., López‐Espuela, F., Santano‐Mogena, E., Alfageme-García, P., & Muñoz-Torrero, J. F. S. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182111607 · Cited by 174 · cited 1× · see citing works
“It proved to be a significantly better predictor of hypertension compared to ABSI and showed no significant difference compared to WC and WHtR in predicting hypertension [47].”
Nonalcoholic Fatty Liver Disease and Recent Guideline Updates
Ando, Y., & Jou, J. H. (2021) · Clinical Liver Disease · doi:10.1002/cld.1045 · Cited by 170 · cited 1× · see citing works
“Although liver biopsy is the gold standard for diagnosing and grading NAFLD, however, it can not be used as a screening tool [39].”
Petrescu, M. D., Vlaicu, S. I., Ciumărnean, L., Milaciu, M. V., Mărginean, C., Florea, M., Vesa, Ș. C., & Popa, M. (2022) · Medicina · doi:10.3390/medicina58050641 · Cited by 150 · cited 1× · see citing works
“Furthermore, visceral fat releases pro-inflammatory cytokines and adipokines, contributing to the development and progression of NAFLD [49].”
Zeng, X., Varady, K. A., Wang, X., Targher, G., Byrne, C. D., Tayyem, R., Latella, G., Bergheim, I., Valenzuela, R., George, J., et al. (2024) · Metabolism · doi:10.1016/j.metabol.2024.156028 · Cited by 131 · cited 1× · see citing works
“Cal-orie restriction, high-protein, or low-carbohydrate diets could improve hepatic steatosis in patients with NAFLD [32, 33].”
Ebrahimi, M., Seyedi, S. A., Nabipoorashrafi, S. A., Rabizadeh, S., Sarzaeim, M., Yadegar, A., Mohammadi, F., Bahri, R. A., Pakravan, P., Shafiekhani, P., et al. (2023) · Lipids in Health and Disease · doi:10.1186/s12944-023-01802-6 · Cited by 127 · cited 1× · see citing works
“In this study, the sROC curve initially showed an AUC of 0.95 (95% CI: 0.93–0.97), which decreased to 0.82 (95% CI: 0.79–0.85) in a second analysis, excluding the main source of heterogeneity [53].”
InfluentialZhao, Q., Zhang, K., Li, Y., Zhen, Q., Shi, J., Yu, Y., Tao, Y., Cheng, Y., & Liu, Y. (2018) · Diabetic Medicine · doi:10.1111/dme.13787 · Cited by 105 · cited 1× · see citing works
“It has been recognized as a reliable indicator for assessing NAFLD-associated conditions such as T2DM, insulin resistance, and metabolic syndrome [45, 46].”
Mamic, P., Chaikijurajai, T., & Tang, W. H. W. (2020) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2020.12.001 · Cited by 99 · cited 1× · see citing works
“Furthermore, gut microbiota influences energy metabolism and fat storage, which may indirectly affect BRI measurements by modulating visceral adiposity and body fat distribution [37].”
Toll-like receptors and metabolic (dysfunction)-associated fatty liver disease
Khanmohammadi, S., & Kuchay, M. S. (2022) · Pharmacological Research · doi:10.1016/j.phrs.2022.106507 · Cited by 93 · cited 1× · see citing works
“Approximately 30.2% of the global population is affected by NAFLD, which has recently become the primary cause of chronic liver disease, surpassing viral hepatitis [4, 5].”
InfluentialSelf-citationMotamed, N., Rabiee, B., Hemasi, G. R., Ajdarkosh, H., Khonsari, M. R., Maadi, M., Keyvani, H., & Zamani, F. (2016) · Hepatitis Monthly · doi:10.5812/hepatmon.39575 · Cited by 80 · cited 2× · see citing works
“Another population-based cross-sectional study discovered that BRI and waist-to-height ratio (WHtR) have stronger correlations with NAFLD compared to ABSI and waist-to-hip ratio (WHR) [14].”
InfluentialLin, I.-T., Lee, M.-Y., Wang, C.-W., Wu, D.-W., & Chen, S.-C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18030857 · Cited by 69 · cited 1× · see citing works
“Two studies [24, 25] were rated as low-quality evidence due to serious limitations in risk of bias, supporting weak recommendations.”
Li, H., Zhang, Y., Luo, H., & Lin, R. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.977625 · Cited by 65 · cited 1× · see citing works
“Two studies showed that the strongest association between BRI and NAFLD was seen in normal weight (OR: 1.77; 95%CI: 2) [13, 27].”
InfluentialMao, T., He, Q., Yang, J., Jia, L., & Xu, G. (2024) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-024-01268-1 · Cited by 58 · cited 1× · see citing works
“BRI is also practical for detecting urate levels, hyperuricemia, and gout, highlighting the impact of central obesity on uric acid levels [48].”
Ismaiel, A., Jaaouani, A., Leucuta, D., Popa, S., & Dumitrascu, D. L. (2021) · Biomedicines · doi:10.3390/biomedicines9121890 · Cited by 56 · cited 1× · see citing works
“Moreover, it was found that VAI can predict NAFLD with AUCs of 0.767 and 0.732, respectively [52].”
InfluentialJang, W., & Song, J. S. (2023) · Diagnostics · doi:10.3390/diagnostics13111852 · Cited by 55 · cited 1× · see citing works
“…for disease diagnosis and are not ideal for mass screening due to significant drawbacks, including high cost (CT and MRI scans), lack of safety (CT scans), lack of consensus (biomarker-based indices), limited accessibility (transient elastography, MRI scans), and complexity (MRI scans) [41, 42].”
Li, Z., Fan, C., Huang, J., Chen, Z., Yu, X., & Qian, J. (2024) · British Journal of Nutrition · doi:10.1017/s0007114524000357 · Cited by 50 · cited 1× · see citing works
“It has been recognized as a reliable indicator for assessing NAFLD-associated conditions such as T2DM, insulin resistance, and metabolic syndrome [45, 46].”
Khanmohammadi, S., Tavolinejad, H., Aminorroaya, A., Rezaie, Y., Ashraf, H., & Vasheghani‐Farahani, A. (2022) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-022-01114-z · Cited by 42 · cited 1× · see citing works
“Several non-invasive anthropometric measures, such as WC, WHtR, BMI, LAP, conicity index, and ABSI, have been studied in cardiovascular diseases and NAFLD and have provided valuable insights into assessing NAFLD risk and its screening [43, 44].”
Self-citationNon-invasive diagnosis and staging of non-alcoholic fatty liver disease
Kechagias, S., Ekstedt, M., Simonsson, C., & Nasr, P. (2022) · Hormones · doi:10.1007/s42000-022-00377-8 · Cited by 39 · see citing works
Nonalcoholic fatty liver disease and non-liver comorbidities
Manikat, R., & Nguyen, M. H. (2023) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2022.0442 · Cited by 37 · cited 1× · see citing works
“NAFLD is a major public health issue because of its high prevalence as well as its close association with other public health issues such as metabolic syndrome, type 2 diabetes mellitus (T2DM), obesity, cardiovascular diseases, and dyslipid-emia [6].”
Naghipour, A., Amini-Salehi, E., Orang Gorabzarmakhi, M., Shahdkar, M., Fouladi, B., Alipourfard, I., & Sanat, Z. M. (2023) · Systematic Reviews · doi:10.1186/s13643-023-02299-x · Cited by 37 · cited 1× · see citing works
“Gut dysbiosis, characterized by an imbalance in microbial composition, has been linked to NAFLD development through mechanisms involving systemic inflammation, insulin resistance, and altered metabolic pathways [34, 35].”
Xie, F., Pei, Y., Zhou, Q., Cao, D., & Wang, Y. (2021) · Lipids in Health and Disease · doi:10.1186/s12944-021-01560-3 · Cited by 34 · cited 3× · see citing works
“In contrast, the results of Xie et al. demonstrated that in total, BMI (AUC = 0.841) had the highest predictive power for NAFLD among all the indices, followed by WC, AVI, and BRI (AUC = 0.817); however, after stratifying by sex, BRI was the best predictor of NAFLD in females (AUC = 0.849) [25].”
InfluentialProcino, F., Misciagna, G., Veronese, N., Caruso, M., Chiloiro, M., Cisternino, A., Notarnicola, M., Bonfiglio, C., Bruno, I., Buongiorno, C., et al. (2018) · Liver international (Print) · doi:10.1111/liv.13970 · Cited by 28 · cited 2× · see citing works
“Also, based on the results of Procino et al. BRI was a better NAFLD predictor than BMI, but the AUROC was wider for the hepatic steatosis index (HSI) and FLI than other indices [28].”
Zhang, Y., Li, B., Liu, N., Wang, P., & He, J. (2021) · International Journal of Endocrinology · doi:10.1155/2021/6678755 · Cited by 28 · cited 1× · see citing works
“Several non-invasive anthropometric measures, such as WC, WHtR, BMI, LAP, conicity index, and ABSI, have been studied in cardiovascular diseases and NAFLD and have provided valuable insights into assessing NAFLD risk and its screening [43, 44].”
Zhao, E., Wen, X., Qiu, W., & Zhang, C. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e23429 · Cited by 28 · see citing works
Role of Liver Biopsy in the Era of Direct-Acting Antivirals
Gonzalez, H. C., Jafri, S. M., & Gordon, S. C. (2013) · Current Gastroenterology Reports · doi:10.1007/s11894-012-0307-z · Cited by 25 · see citing works
Waist to height ratio in nonalcoholic fatty liver disease – Systematic review and meta-analysis
Ismaiel, A., Hosiny, B. E., Ismaiel, M., Leucuta, D., Popa, S., Cătană, C.-S., & Dumitrascu, D. L. (2023) · Clinics and Research in Hepatology and Gastroenterology · doi:10.1016/j.clinre.2023.102160 · Cited by 24 · cited 1× · see citing works
“The MD in WHtR between the two groups was 0.073 (95% CI 0.058–0.088), with an AUC of 0.815 (95% CI 0.780–0.849) for predicting NAFLD [51].”
InfluentialWang, H., Zhang, Y., Liu, Y., Li, H., Xu, R., Fu, H., Yan, C., & Qu, B. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1163682 · Cited by 23 · cited 1× · see citing works
“Moreover, Wang et al. found that In NAFLD screening, BMI (AUC = 0.89; 95%CI: 0.883–0.894) had the highest accuracy, followed by lipid accumulation product (LAP) (AUC = 0.87; 95%CI: 0.863– 0.874) [ 29].”
InfluentialJiang, N., Zhang, S., Chu, J., Yang, N., & Lu, M. (2023) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.24973 · Cited by 20 · cited 5× · see citing works
“This insulin resistance impairs the liver’s capability to metabolize free fatty acids [13].”
InfluentialScreening for NAFLD—Current Knowledge and Challenges
Forlano, R., Sigon, G., Mullish, B. H., Yee, M. S., & Manousou, P. (2023) · Metabolites · doi:10.3390/metabo13040536 · Cited by 19 · cited 1× · see citing works
“Regular screening can result in the timely diagnosis and management of NAFLD in young individuals [38].”
Factors That Predict the Progression of Non-alcoholic Fatty Liver Disease (NAFLD)
Parameswaran, M., Hasan, H. A., Sadeque, J., Jhaveri, S., Avanthika, C., Arisoyin, A. E., Dhanani, M., & Rath, S. M. (2021) · Cureus · doi:10.7759/cureus.20776 · Cited by 18 · cited 1× · see citing works
“NAFLD develops gradually over the years, underscoring the significance of early diagnosis and intervention to prevent its progression to more advanced liver complications, such as cirrhosis and HCC [31].”
Amini‐Salehi, E., Nayak, S. S., Maddineni, G., Mahapatro, A., Keivanlou, M., Moghadam, S. S., Vakilpour, A., Aleali, M. S., Joukar, F., Hashemi, M., et al. (2024) · Annals of Medicine and Surgery · doi:10.1097/ms9.0000000000001740 · Cited by 17 · cited 1× · see citing works
“Gut dysbiosis, characterized by an imbalance in microbial composition, has been linked to NAFLD development through mechanisms involving systemic inflammation, insulin resistance, and altered metabolic pathways [34, 35].”
Khanmohammadi, S., Ramos‐Molina, B., & Kuchay, M. S. (2023) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2023.102788 · Cited by 15 · cited 1× · see citing works
“NAFLD comprises a range of histopathological conditions, including simple steatosis, nonalcoholic steatohepatitis (NASH), progressive cirrhosis, end-stage liver disease, and hepatocellular carcinoma (HCC) [2, 3].”
Self-citationSepehrinia, M., Khanmohammadi, S., Rezaei, N., & Kuchay, M. S. (2024) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2024.11.032 · Cited by 15 · cited 1× · see citing works
“Cal-orie restriction, high-protein, or low-carbohydrate diets could improve hepatic steatosis in patients with NAFLD [32, 33].”
Self-citationTian, X., Ding, N., Su, Y., & Qin, J. (2023) · Turkish Journal of Gastroenterology · doi:10.5152/tjg.2023.23101 · Cited by 14 · cited 2× · see citing works
“Also, Tian et al. showed that BRI (AUC = 0.8268) and abdominal volume index (AVI) (AUC = 0.8353) had better diagnostic ability for NAFLD than BMI (AUC = 0.8126) [26].”
InfluentialSuvarna, R., Nasir, M. A., Stanley, W., & Prabhu, M. M. (2022) · Indian Journal of Community Medicine · doi:10.4103/ijcm.ijcm_1213_21 · Cited by 6 · cited 1× · see citing works
“Upon conducting a thorough full-text review of these 12 studies, two were excluded due to being non-English [22] and not reporting BRI [23].”
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- Renyuan W, et al. Predictive value of different body obesity measures for nonalcoholic fatty liver disease. Chin J Health Manage. 2023;17(8):591–7.
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Sorted by citations
Hua, X., Gan, Y., & Lv, X. (2025) · Lipids in Health and Disease · doi:10.1186/s12944-025-02806-0 · Cited by 7 · see citing works
“…assessment, we selected two distinct adiposity metrics as potential mediators: Body Mass Index (BMI), a measure of general obesity, and Body Roundness Index (BRI), an indicator of central obesity derived from height and waist circumference to quantify body shape and predict visceral adiposity [27].”
Azarboo, A., Fallahtafti, P., Jalali, S., et al. (2025) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-025-01912-4 · Cited by 5 · see citing works
“The body roundness index (BRI) showed good diagnostic accuracy (AUC = 0.803) and an increased risk of MASLD (OR = 2.87) [48], while the VAI showed moderate performance with an AUC of 0.767 for MASLD, with limited subgroup differences [46].”
InfluentialSelf-citationZhuo-Fan, X. I. E., Zhang, H., Zao-liang, M. A., et al. (2025) · Chinese Journal of Analytical Chemistry · doi:10.1016/j.cjac.2025.100600 · Cited by 2 · see citing works
Zhou, X.-H., Li, Z.-Y., Yang, D.-N., Shen, Q.-M., Zhou, Y.-X., Tan, Y.-T., Li, H.-L., & Xiang, Y.-B. (2026) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2026.113121 · Cited by 2 · see citing works
Li, L., Lin, M., Qin, Z., et al. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1624617 · Cited by 1 · see citing works
Li, S.-L., Guo, S.-X., Zhang, M.-H., Guo, J., Hou, Z.-H., Zhang, H.-W., Zhang, S., Li, J., & Peng, X. (2026) · Scientific Reports · doi:10.1038/s41598-026-49030-z · Cited by 1 · see citing works
Gautam, S., Bhattarai, A., Simran, K. C., Singh, R., Sah, S. K., Budha, B., Poudel, C. M., & Khanal, R. R. (2026) · PLoS ONE · doi:10.1371/journal.pone.0353676 · Cited by 1 · see citing works
“These quantitative patterns are consistent with meta-analytic evidence showing WtHR and WC frequently outperform BMI for lipid endpoints [5,22] BRI AUC 0.803, OR 2.87, supporting BRI’s value for liver-disease risk assessment beyond BMI or WC [31,32].”
InfluentialBody roundness index and mental health in middle-aged and elderly adults: a prospective cohort study
Gu, J., Bao, Y., Li, Y., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-06994-8 · Cited by 1 · see citing works
Białecka-Dębek, A., Wierzbicka, E., Januszko, O., Pietruszka, B., Szybalska, A., & Mossakowska, M. (2025) · Nutrients · doi:10.3390/nu17233666
“Additionally, BRI demonstrated higher predictive value for metabolic conditions such as nonalcoholic fatty liver disease (NAFLD) [36].”
Takeuchi, M. (2025) · medRxiv · doi:10.64898/2025.12.19.25342719
Yu, J.-N., Ge, H., Gao, Z.-W., Feng, J.-X., Gao, Y., Cong, J., Zhu, M.-Y., Shi, B.-C., Guan, M., Gao, J.-S., et al. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1705555 · Cited by 1 · see citing works
Shin, J., Heo, S., Lee, Y.-J., Kwon, Y., & Lee, J. (2026) · BMC Gastroenterology · doi:10.1186/s12876-026-04679-8
“A recent meta-analysis of 10 cross-sectional studies with 59,466 participants revealed an association between BRI and NAFLD [19].”
InfluentialYousefiasl, M., Abadifard, E., Khanmohammadi, S., et al. (2026) · Health Science Reports · doi:10.1002/hsr2.72542
Self-citationQi, L., Li, B., Xue, J., et al. (2026) · BMC Gastroenterology · doi:10.1186/s12876-026-04906-2
“While Khanmohammadi et al. [54] reported lower diagnostic accuracy for the body roundness index (BRI) in identifying NAFLD, with a sensitivity of 0.81 and specificity of 0.69.”
InfluentialJoint association of body roundness index and HOMA-IR with risk of MASLD in Korean populations
Lee, K.-S., Ahn, S.-H., Son, D., & Lee, Y. (2026) · BMC Endocrine Disorders · doi:10.1186/s12902-026-02361-4
“These findings are consistent with previous studies supporting the utility of HOMA-IR [10, 28–30] as a marker of insulin resistance and BRI as a marker of visceral adiposity and MASLD risk [7, 31, 32].”
Du, J., Zeng, K., Zhang, F., Wang, Y., Liu, M., Huang, J., Chen, S., Zhao, Y., & Lin, Y. (2026) · Diabetologia · doi:10.1007/s00125-026-06797-0
Xuan, Y., Yu, J., & Yao, Q. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1868410
“While BRI has been linked to MASLD in a nonlinear manner, with stronger predictive power, no epidemiologic evidence supports the hypothesis that BRI mediates the pathway from CHG to MASLD (37, 38).”
Liu, J., Yang, W., & Li, S. (2026) · Medicine · doi:10.1097/md.0000000000049981
“[34] Greater heterogeneity among individuals with very high BRI and the smaller number of observations in the upper range may also contribute to the flattening of the curve.”
Yao, H., Wang, Y., Zhou, F., Wang, F., Wang, X., & Du, R. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1930822
“…evidence beyond the Chinese context supports our findings: in U.S. children and adolescents aged 8–17 years, BRI outperformed BMI in predicting cardio-metabolic risk (37), and a 2025 systematic review and meta-analysis confirmed BRI’s predictive value for NAFLD (pooled OR = 2.87; AUC = 0.803) (38).”
Influential
- Authors
- Khanmohammadi, S., Fallahtafti, P., Habibzadeh, A., Ezzatollahi Tanha, A., Alamdari, A. A., Fallahtafti, P., & Shafi Kuchay, M.
- Affiliations
- Children's Medical Center (IR)
- Tehran University of Medical Sciences (IR)
- Shahid Beheshti University (IR)
- Corresponding author
- Khanmohammadi, Shaghayegh
- Venue
- Lipids in Health and Disease
- Published
- 2025-03-27
- Volume
- 24
- Issue
- 1
- Pages
- 117-117
- ISSN
- 1476-511X (ISSN-L)
- PMC
- PMC11948846
- OpenAlex
- W4408867690
- Cited by
- 19
- References
- 53
- Citations by year
- 2026: 12 · 2025: 7
- FWCI
- 4.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Lipids in Health and Disease (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- body roundness index, non-alcoholic fatty liver disease, anthropometric indices, diagnostic accuracy, screening, body mass index, waist circumference, sex differences
- MeSH terms
- Adult, Anthropometry, Female, Humans, Male, Body Mass Index, Waist Circumference, Non-alcoholic Fatty Liver Disease
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-20.
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