Risk of Stroke and Myocardial Infarction After Sudden Sensorineural Hearing Loss: A Meta‐Analysis
Bibliographic record
Abstract
Objectives/Hypothesis The pathophysiology of idiopathic sudden sensorineural hearing loss (ISSNHL) is still unknown, but labyrinthine artery infarction has been proposed. The objective of this study was to perform a systematic review and conduct a meta‐analysis assessing the risk of developing stroke and myocardial infarction after presentation with ISSNHL. Methods A systematic literature review was conducted using Pubmed, Embase, Web of Science, and Cochrane Libraries. All studies investigating an association between ISSNHL and stroke and/or myocardial infarction (MI) were included. Adhering to the MOOSE guideline, two independent reviewers extracted data, assessed risk of bias, and evaluated the relevance and quality of evidence. Results Three observational studies evaluating the risk of stroke in ISSNHL were included (n = 6,521 patients). All individual study results indicated an increased relative risk of stroke after ISSNHL (unadjusted relative risk range 1.21–1.63). Pooled adjusted hazard ratios revealed a 1.42‐fold increased risk of stroke after ISSNHL (hazard ratio [HR] 1.42; 95% confidence interval [CI] 1.15–1.75, I 2 = 55%). Subgroup analysis of one study demonstrated that the increased risk is only present in adults aged above 50 years (HR 1.23; 95% CI 1.07–1.42). Five observational studies evaluating the risk of MI in patients with ISSNHL were included (n = 61,499 patients). Pooled analyses demonstrated that ISSNHL was not associated with MI (HR 1.08, 95% CI 0.87–1.34). Conclusion ISSNHL may be an independent risk factor for the subsequent development of stroke especially in a subgroup of elderly patients. More studies are needed to confirm this association and to assess whether such patients would benefit from cardiovascular risk assessment and management to prevent future strokes. Laryngoscope , 131:1369–1377, 2021
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 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".