The protective effect of pneumococcal vaccination on cardiovascular disease in adults: A systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Epidemiological studies suggest that there is a link between pneumococcal infection and adverse cardiovascular outcomes such as myocardial infarction. Multiple studies have evaluated the protective effect of the 23-valent polysaccharide pneumococcal vaccination (PPV23), but results have varied. Therefore, a meta-analysis was conducted to summarize available evidence on the impact of PPV23 on cardiovascular disease. METHODS: A literature search from January 1946 to September 2019 was conducted across Embase, Medline and Cochrane. All studies were included that evaluated PPV23 compared with a control (placebo, no vaccine or another vaccine) for any cardiovascular events, including: myocardial infarction (MI), heart failure and cerebrovascular events. Risk ratios (RRs) were pooled using random effects models. RESULTS: Eighteen studies were included, with a total of 716,108 participants. Vaccination with PPV23 was associated with decreased risk of any cardiovascular event (RR: 0.91; 95% CI: 0.84-0.99), and MI (RR: 0.88; 95% CI: 0.79-0.98) in all age groups, with a significant effect in those aged ≥65 years, but not in the younger age group. Similarly, PPV23 vaccine was associated with significant risk reduction in all-cause mortality in all ages (RR: 0.78; 95% CI: 0.68-0.88), specifically in those aged ≥65 years (RR: 0.71; 95% CI: 0.60-0.84). A significant risk reduction in cerebrovascular disease was not observed following pneumococcal vaccination. CONCLUSIONS: Polysaccharide pneumococcal vaccination decreased the risk for some adverse cardiovascular events, specifically acute MI in the vaccinated population, particularly for those individuals aged ≥65 years. It would be highly beneficial to vaccinate the population who is at greater risk of cardiovascular diseases.
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.
How this classification was reachedexpand
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".