Triglyceride glucose waist circumference and non alcoholic fatty liver disease: a systematic review and meta analysis
Bibliographic record
Abstract
BACKGROUND: Insulin resistance (IR) plays a noticeable role in the pathogenesis of non-alcoholic fatty liver disease (NAFLD). The triglyceride glucose-waist circumference (TyG-WC) index, a novel measure for assessing IR, may hold significant predictive value for NAFLD. However, the relationship between TyG-WC and the risk of NAFLD remains elusive. To investigate this association, this comprehensive meta-analysis was conducted. METHODS: A systematic electronic search was conducted using the PubMed, Embase, and Web of Science databases from their inception until July 2024 to identify observational studies assessing the relationship between TyG-WC and the risk of NAFLD. Joanna Briggs Institute's critical appraisal checklist was utilized to evaluate the quality of cross-sectional studies, while the Newcastle-Ottawa Scale (NOS) score was used to assess cohort studies. The principal summary outcomes included the mean difference (MD) and the corresponding 95% confidence interval (CI). RESULTS: In total, 10 studies comprising 38,518 participants were included in this meta-analysis, of whom 37% were diagnosed with NAFLD. The analysis revealed a significant MD between NAFLD and non-NAFLD cases (MD, 137.41; [95% CI, 121.52-153.31]). CONCLUSION: A significant MD was identified between NAFLD and non-NAFLD cases. The TyG-WC index was found to be positively correlated with the risk of NAFLD, suggesting that it may serve as a potential indicator for NAFLD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".