Abstract 13681: Association of Serum Trimethylamine N-oxide Levels With Cardiovascular Disease and All-Cause Mortality: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies
Bibliographic record
Abstract
Background: Trimethylamine N-oxide (TMAO), a gut microbiota-derived metabolite of red meat, has emerged as a potential biomarker for CVD and all-cause mortality. It is also found in preformed amounts in fish. However, the association between serum TMAO levels and CVD outcomes remain unclear. Aim: To conduct a systematic review and dose-response meta-analysis evaluating the association between serum TMAO and CVD and all-cause mortality in prospective cohort studies. Methods: A comprehensive literature search was conducted in MEDLINE, EMBASE, and Cochrane Library up to and including March 6, 2023. A manual search through references found in reviews and meta-analyses was also conducted. Studies reporting hazard ratios (HRs) or relative risks (RRs) with 95% confidence intervals (CIs) for the association between serum TMAO levels and CVD or all-cause mortality in adults ≥ 18 years with follow-up of ≥ 1 year were included. Random-effects models were utilized for pooled risk estimates and assess the dose-response. GRADE was used to evaluate certainty of evidence. Results: 2459 papers, 44 prospective cohort studies were included involving 84771 participants included in final analysis (fig.1). Pooled analyses revealed a significant positive association between elevated serum TMAO levels and the risk of total CVD (RR 1.29 [1.16-1.44]), CVD mortality (RR 1.51 [1.23-1.87]) and all-cause mortality (RR 1.30 [1.21,1.39]). Non-significant associations were found for MI, stroke, total CHD, MI mortality and CHD mortality. All outcomes were of low to very low certainty.Dose response analysis revealed a significant linear association with all-cause mortality (RR 1.01 [95% CI 1.01, 1.02] per 2μM/L) up to a threshold of 6μM/L and total CVD (RR 1.04 [1.02-1.06]). Conclusion: This study provides evidence supporting the positive association of serum TMAO levels with increased risk of total CVD, CVD mortality and all-cause mortality. A recent review found 13/15 studies demonstrated a strong positive correlation between TMAO and fish intake, complicating the hypotheses relating TMAO in red meat and CVD risk. Thus, further assessments of diet components are needed to explore the clinical implications of the associations found in our study.
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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 | 0.016 | 0.036 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.039 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".