The Effect of Nigella Sativa on Cardio-Metabolic Parameters: A Protocol for A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Background: Among non-communicable diseases, cardiovascular diseases (CVDs) account for 44% of all deaths. Among natural alternatives, Nigella sativa (NS) exert beneficial effects on cardio-metabolic factors. This is the first systematic review and meta-analysis protocol aimed to identify all the findings relevant to the effects of NS on cardio-metabolic factors among adults. Methods: This study was prepared according to PRISMA-P checklist based on Cochrane Handbook for Systematic Reviews of Interventions. An initial literature search was conducted in various databases using MeSH terms and related synonyms. Trials examining the effects of NS versus control group were included. Main outcomes consisted of blood pressure, lipid and glycemic factors, and atherogenic indices. Seven reviewers independently evaluated titles and abstracts, reviewed full texts, extracted information, and assessed the risk of bias. Methodological quality of each randomized controlled trial was assessed using the Cochrane Handbook and the GRADE system, while Newcastle-Ottawa Quality Assessment Scale was used for non-randomized studies. Continuous data of homogeneous studies were meta-analyzed via STATA. Mean differences were calculated as the effect size with 95% CIs. Heterogeneity assessment, sensitivity analysis, and publication bias were performed. Conclusion: The quality of both randomized and non-randomized studies was assessed. The evidence from this study can provide information for future clinical trials.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.004 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".