Effects of Vitamin D Levels on Cardiovascular Diseases: A SystematicReview
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
Background: Cardiovascular diseases (CVDs) are a group of pathologies that involve heart and blood vessel disorders and are considered the main cause of death in the world. Epidemiological studies have shown the association between low vitamin D (VD) levels and CVD. This vitamin, in addition to acting on bone metabolism, plays a role in modulating the cardiovascular system. Objective: The present study assesses the effects of VD levels on CVD through a systematic literature review. Method: For this purpose, the PICO strategy was used to prepare the guiding question, and articles were searched in the PubMed, Scopus, Science Direct, and Web of Science databases by two authors independently. To guarantee the quality of the evidence of the articles included in the review, the Newcastle-Ottawa scale was used. The literature review followed the PRISMA recommendations. Results: In this review, 22,757 articles were identified, but only 10 were considered eligible, of which 70 % are prospective cohorts and 30 % are retrospective cohorts. The study showed that low 25(OH)D levels correlate with an increased risk of cardiovascular events and death from CVD, including in patients who had preexisting CVD. However, one article did not demonstrate this association. Conclusion: As a result, VD correlates with cardiovascular events and the risk of death.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| 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