The Effects of Curcumin on Glycemic Control and Lipid Profiles Among Patients with Metabolic Syndrome and Related Disorders: A Systematic Review and Metaanalysis of Randomized Controlled Trials
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: This systematic review and meta-analysis of randomized controlled trials (RCTs), were performed to determine the effects of curcumin intake on glycemic control and lipid profiles among patients with metabolic syndrome (MetS) and related disorders. METHODS: We searched the following databases up until January 2018: MEDLINE, EMBASE, Web of Science, and Cochrane Central Register of Controlled Trials. The relevant data were extracted and evaluated for quality of the studies in accordance with the Cochrane risk of bias tool. Data were pooled using the inverse variance method and expressed as standardized mean difference (MDs) with 95% confidence intervals (95% CI). RESULTS: Twenty-six trials with 1890 participants were included in the current meta-analysis. The findings demonstrated the significant association between curcumin intake and reduced fasting glucose levels (SMD -0.78; 95% CI, -1.20, -0.37; P<0.001), homeostasis model of assessment-estimated insulin resistance (SMD -0.91; 95% CI, -1.52, -0.31; P=0.003) and HbA1c (SMD -0.92; 95% CI, -1.37, -0.47; P<0.001). In addition, curcumin supplementation was significantly associated with triglyceride (SMD -1.21; 95 % CI, -1.78, -0.65; P<0.001) and total cholesterol reduction (SMD -0.73; 95 % CI, -1.32, -0.13; P= 0.01). However, curcumin intake significantly increased insulin levels (SMD 0.92; 95% CI, 0.06, 1.78; P=0.036). We found no significant effect of curcumin supplementation on LDL- (SMD -0.52; 95% CI, -1.14, 0.11; P=0.10) and HDL-cholesterol levels (SMD 0.28; 95% CI, -0.22, 0.77; P=0.27). CONCLUSION: Overall, curcumin consumption was associated with a significant reduction in fasting glucose, HOMA-IR, HbA1c, triglycerides and total cholesterol levels among patients with MetS and related disorders, but did not affect LDL- and HDL-cholesterol levels.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.011 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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