Effects of the Mediterranean diet on inflammation, quality of life, and mortality in autoimmune diseases: A systematic review featured in the Italian National Guidelines “La Dieta Mediterranea”
Bibliographic record
Abstract
BACKGROUND: Autoimmune diseases (ADs) are chronic inflammatory disorders with increasing global prevalence and substantial health and economic burden. The Mediterranean diet (MD), known for its anti-inflammatory and immunomodulatory properties, may offer complementary benefits in the management of these conditions. METHODS: This review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 and Meta-analysis of Observational Studies in Epidemiology guidelines. A comprehensive search of PubMed/MEDLINE, Scopus, Embase, and Cochrane Library was performed up to February 28, 2024. Study quality was assessed using the Newcastle-Ottawa Scale or Risk of Bias tool, based on study design. The certainty of evidence was evaluated with the NUTRIGRADE approach. Eligible studies included studies evaluating MD adherence in individuals with ADs. Data were synthesized narratively and quantitatively. RESULTS: Fifteen studies (5 randomized controlled trials, 6 cross-sectional, 3 pre-post trials, and 1 cohort) involving patients with rheumatoid arthritis, Crohn's disease, ulcerative rectocolitis, multiple sclerosis, and celiac disease were included. Higher MD adherence was associated with improved quality of life in patients with multiple sclerosis and celiac disease (moderate certainty), and to a lesser extent in rheumatoid arthritis (low certainty). Reductions in C-reactive protein were observed in some studies, but findings were inconsistent and of low certainty. One cohort study reported reduced mortality in patients with Crohn's disease and inflammatory bowel disease. Limited evidence suggested favorable effects on gut microbiota and body composition. CONCLUSIONS: Adherence to the MD may provide benefits in quality of life and inflammation-related outcomes among patients with ADs. However, the overall certainty of evidence remains limited.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.009 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".