Effects of curcumin in patients with non-alcoholic fatty liver disease: A systematic review and meta-analysis
Why this work is in the frame
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Bibliographic record
Abstract
Background: Curcumin is an anti-inflammatory that is proposed to have a positive impact on patients with non-alcoholic fatty liver disease (NAFLD). We aim to assess the effects of curcumin in patients with NAFLD. Methods: Clinical trials from PubMed, Scopus, the Web of Science, and Cochrane CENTRAL with variables alanine transferase, aspartate transaminase, alkaline phosphatase, glycated hemoglobin (HBA1c), BMI, waist circumference, total cholesterol, total glycerides, high-density lipoproteins, and low-density lipoproteins were included. Homogeneous and heterogeneous were analyzed under a fixed-effects model and the random-effects model, respectively. Results: Fourteen clinical trials found that curcumin has no statistically significant effect on alanine transferase (MD = −2.20 [−6.03, 1.63], p = 0.26], aspartate transaminase (MD = 1.37 [−4.56, 1.81], p = 0.4), alkaline phosphatase (MD = 3.06 [−15.85, 9.73], p = 0.64), glycated hemoglobin (HBA1c), (MD = −0.06 [−0.13, 0.02], p = 0.16], and BMI (MD = 0.04 [−0.38, 0.46], p = 0.86). Curcumin reduced the waist circumference (MD = −4.87 [−8.50, −1.25], p = 0.008). Lipid profile parameters were not significant, except the total glycerides (MD = −13.22 [−24.19, −2.24], p = 0.02). Conclusions: Curcumin significantly reduces total glycerides and waist circumference in NAFLD.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it