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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".