Association of acute kidney injury with the risk of dementia: A meta-analysis protocol
Bibliographic record
Abstract
Abstract Acute kidney injury (AKI) is a complex disorder characterized by an abrupt decline in kidney function over a short period of time. Published epidemiological studies linked AKI with the development of dementia. This meta-analysis aims to understand the pooled risk of dementia in AKI patients compared to non-AKI patients. MEDLINE and Embase databases, and the grey literature in five sources were searched to identify the studies assessing the association of AKI with dementia. The Newcastle-Ottawa scale (NOS) will be used to determine the quality of included studies. The primary outcome of this study will be the risk of dementia among AKI patients compared to non-AKI patients. Subgroup analysis and sensitivity analysis will also be performed. Review Manager version 5.4.1 will be used to perform the meta-analysis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.042 | 0.071 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.017 | 0.033 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.047 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".