Effect of tree nuts on features of the metabolic syndrome: A systematic review and meta‐analysis of randomized controlled dietary 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
Objective To assess the effect of tree nuts on features of the metabolic syndrome (MetS), we conducted a systematic review and meta‐analysis of randomized dietary trials. Methods We searched MEDLINE, EMBASE, CINAHL, and the Cochrane Library (through May 25, 2012). We included relevant randomized dietary trials of ≥ 3 weeks reporting all 5 features of MetS (waist circumference, fasting glucose, triglycerides, HDL‐cholesterol [HDL‐C], blood pressure [BP]). Two independent reviewers extracted all relevant data. Data were pooled using the generic inverse variance method and expressed as mean differences (MD) with 95% CI. Heterogeneity was assessed by Cochran's Q and quantified by I2. Study quality was assessed by the Heyland score. Results 7 trials (n=1018) met the eligibility criteria. Diets high in tree nuts lowered triglycerides compared with control diets low in tree nuts (MD = −0.09 mmol/L [95% CI, −0.17, −0.01]). There was no effect on waist circumference, HDL‐C, BP, and fasting glucose, with evidence of heterogeneity in all analyses. Limitations Most of the trials were of short duration (<12 months) and of poor quality. Conclusion Pooled analyses show that diets high in tree nuts lower triglycerides. Longer and higher quality trials are warranted. Clinicaltrials.gov identifier: NCT01630980 Funding source: International Nut Council
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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 | 0.031 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.054 | 0.021 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it