Plasma Osteoprotegerin and Cognitive Impairment after IschemicStroke
Bibliographic record
Abstract
BACKGROUND: Plasma osteoprotegerin (OPG) has been linked to poor prognosis following stroke, but its impact on post-stroke cognitive impairment (PSCI) is unknown. The purpose of our work was to analyze the relationship of OPG with PSCI. METHODS: Our study included 613 ischemic stroke subjects with plasma OPG levels. We used the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) to assess PSCI. PSCI was defined as MMSE score <25 or MoCA score <23. RESULTS: =0.021), compared to that in the lowest tertile. We observed a positive linear relationship of plasma OPG levels with 3- month PSCI (P for linearity=0.046). Incorporating plasma OPG into conventional risk factors enhanced PSCI risk reclassification (all P <0.05). Consistent results were discovered when PSCI was evaluated using the MoCA score. CONCLUSION: High plasma OPG levels were related to an elevated risk of 3-month PSCI, indicating that OPG might be an effective biomarker for predicting PSCI.
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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) | 0.000 | 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 | 0.001 |
| 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".