Omega-3 fatty acids and acute coronary syndrome
Bibliographic record
Abstract
Omega-3 fatty acids have been promoted as cardioprotective nutrients but there is some controversy regarding their role in the prevention of cardiovascular diseases. Additionally, knowledge of their effects on acute coronary syndrome (ACS) is limited.We conducted a systematic review and meta-analysis to investigate the association between the consumption of fish, which are main source of omega-3 fatty acids, and the risk for ACS in the general population. We found that fish consumption was inversely associated with ACS risk. A dose-response relationship was observed and each 100 g serving of fish per week was associated with a 5% risk reduction in ACS. To provide more insight on the mechanisms through which omega-3 fatty acids may act to influence ACS risk, we investigated whether omega-3 fatty acid intake modulates the genetic predisposition to ACS. We undertook a case-only gene-diet interaction study of individuals with early onset ACS, using data from the GENESIS-PRAXY (GENdEr and Sex determInantS of Cardiovascular Disease from bench to beyond in PRemature Acute Coronary Syndrome) study. Our results indicate that potential interactions may exist between omega-3 fatty acids and ACS-associated polymorphisms, but replication is necessary for definite evidence.In conclusion, our findings suggest that omega-3 fatty acids are beneficial for ACS risk reduction and may interact with polymorphisms that confer ACS risk. Additional research is required to fully understand the mechanisms of omega-3 fatty acids in modifying the genetic risk of ACS.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".