Invasive dental treatment and acute vascular events: A systematic review and meta‐analysis
Bibliographic record
Abstract
BACKGROUND: Acute infection/inflammation increases the risk of acute vascular events (AVEs). Invasive dental treatments (IDTs) trigger short-term acute inflammation. PURPOSE: The aim of this work is to critically appraise the evidence linking IDTs and AVEs. DATA SOURCES: Six bibliographical databases were searched up to 31 August 2021. A systematic review following PRISMA guidelines was performed. STUDY SELECTION: Intervention and observational studies reporting any AVEs following IDT were included. DATA EXTRACTION: Two reviewers independently extracted data and rated the quality of studies. Data were pooled using fixed-effect, inverse variance weights analysis. RISK OF BIAS: Risk of bias was assessed by the Newcastle-Ottawa Quality Assessment Scale for observational studies and the Cochrane Handbook-Rob 2.0 for randomized controlled trials. DATA SYNTHESIS: In 3 out of 16 clinical studies, a total of 533,175 participants, 124,344 myocardial infarctions, and 327,804 ischaemic strokes were reported. Meta-analysis confirmed that IDT did not increase incidence ratios (IR) for combined vascular events either at 1-4 weeks (IR of 1.02, 95% CIs: 0.92 to 1.13) and at 5-8 weeks (IR of 1.04, 95% CIs: 0.97 to1.10) after treatment. LIMITATIONS: A high level of heterogeneity (study designs and time point assessments) was found. CONCLUSION: Patients who received IDT exhibited no substantial increase in vascular risk over 8 weeks post treatment.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.021 | 0.008 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".