The Association of Asthma with Onset of Dementia-An Initial Exploration by Meta-Analysis
Bibliographic record
Abstract
Objective: A meta-analysis was performed to assess the association between asthma and dementia, aimed to provide initial exploration for further etiolotical/preventive/clinical discussion. Methods: A systematic search of Pubmed, Embase, Web of Science and Cochrane library databases was conducted to screening evidence. Cohort/case control studies that are focused on the association between asthma and the onset of dementia were identified in the current meta-analysis. The search time frame was from database establishment to August, 1st, 2023, with independent reviewers screening the literature. The quality of the literature was evaluated by Newcastle-Ottawa Quality Assessment Scale (NOS). R 4.3.2 was used in data analysis. Results: 9 studies including 234248 participants were included. The overall quality of the included studies was high, with an average NOS score of over 8. The results of the meta-analysis in the current study confirmed that there is an association between asthma and cognitive dysfunction. It is noteworthy that the significant association was found between all-severity levels-of-asthma and the risk of onset of all-types-of-dementia when we define it as dichotomous variable. Moreover, subgroup analysis revealed a high risk of dementia in specific asthma patients. Conclusion: Our findings showed a significant increase in the risk of dementia among patients with asthma, and this risk is not affected by the types of dementia, however it seems especially obviously among specific asthma patients.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".