BRIDGING THE GAP: A SYSTEMATIC REVIEW OF BARIATRIC SURGERY'S EFFECTS ON CARDIAC HEALTH
Bibliographic record
Abstract
Objective: This study compares preoperative and post-operative cardiac imaging measures to examine the effects of bariatric surgery on heart shape and function in obese patients. Methodology: Using PubMed, MedLine, Ovid, and Cinhal, this work searched the literature for bariatric, metabolic, weight loss, and obesity surgery as well as echocardiography, MRI, cardiac imaging, cardiac dimensions, & ventricular dimensions. Studies included had an initial follow-up of three months and reported on heart structural and function parameters obtained by MRI or echocardiography. Study excluded had conflicting or no preoperative or postoperative data. The Newcastle-Ottawa scale was used for quality assessment; PRISMA guidelines were followed for statistical analysis, which computed and pooled results using a model of random effects with 95% confidence intervals, weighted mean differences, and DerSimonian & Laird modelling. We looked at inter-study heterogeneity with the I2 statistic. Results: Bariatric surgery greatly improves a number of cardiac indices, including left atrium diameter (1.967 mm, 95% CI 0.980-2.954), left ventricular end-diastolic volume (13.28 ml, 95% CI 5.22-21.34 ml), as well as left ventricular mass index (11.2, 95% confidence intervals (CI) 8.2-14.1%). Positive increases were noted for the left ventricular ejection fraction (1.198, 95% CI 0.050-2.347) and the E/A ratio (0.189, 95% CI 0.113–0.265). Conclusion: In obese patients, bariatric surgery has been shown to have beneficial impacts on diastolic function, systolic function, and cardiac structure. The alteration of the enteric cardiac axis may be a contributing factor to these outcomes. However, future research endeavours should prioritize the acquisition of more robust evidence to precisely determine the most effective bariatric procedures for preventing and treating a diverse spectrum of obesity-related cardiac pathologies, in addition to further developing strategies for managing obesity cardiomyopathy.
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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 | 0.018 | 0.069 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.013 |
| Bibliometrics | 0.014 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 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".