Effectiveness of Omega-3 Polysaturated Fatty Acids (Fish Oil) Supplementation for Treating Hypertriglyceridemia in Children and Adolescents
Bibliographic record
Abstract
Limited pharmacological options are available for management pediatric hypertriglyceridemia. We examined the effectiveness of dietary fish oil supplementation as a means to reduce triglyceride levels in pediatric patients. We reviewed 111 children aged 8 to 18 years with hypertriglyceridemia (≥1.5 mmol/L) undergoing treatment in a specialized dyslipidemia clinic. At the treating cardiologist's discretion, 60 subjects received nonprescription fish oil supplementation (500-1000 mg/d), while the remaining patients did not. Initially there were no baseline differences between groups, including the use of concomitant lipid-lowering medication. Treatment with fish oil was associated with a potential clinically relevant but non-statistically significant decrease in triglycerides and triglyceride-to-high-density lipoprotein (HDL) ratio. Fish oil had no effect on HDL-cholesterol, non-HDL-cholesterol, or total cholesterol. All associations remained unchanged when adjusted for body mass index z score, nutrition, physical activity, and screen time. Fish oil supplementation was not significantly effective in treating hypertriglyceridemia in pediatric patients.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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 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".