Urinary AD7c-NTP is Associated With Cognitive Recovery After Ischemic Stroke
Bibliographic record
Abstract
Urinary Alzheimer-associated neuronal thread protein (AD7c-NTP) is regarded as a biomarker for β-amyloid protein deposition in Alzheimer disease (AD). The value of AD7c-NTP in predicting post-stroke cognitive recovery was worth exploring. In total, 224 patients with first-ever stroke were enrolled in this retrospective study. Cognitive assessment was evaluated by Mini-Mental State Examination (MMSE), and cognitive improvement was defined as MMSE scores ≥27 or 4-score elevation at 3-month follow-up after stroke. The AD7c-NTP level was 0.68±0.40 ng/mL in the 135 patients with cognitive improvement, while the AD7c-NTP level was 1.49±0.99 ng/mL in the 89 patients without improvement ( P <0.001). Those displaying better cognitive recovery also had younger ages, higher MMSE scores, and lower NIHSS scores on admission. In multivariable logistic regression analysis, AD7c-NTP concentration (OR=9.14, 95% CI: 4.52-18.49, P <0.001), age (OR=1.04, 95% CI: 1.01-1.08, P =0.012), and NIHSS score on admission (OR=1.17, 95% CI: 1.07-1.28, P <0.001) remained the independent risk factors affecting cognitive recovery. The area under the receiver operating characteristics curve for AD7c-NTP in predicting unfavorable cognitive function was 0.80 (sensitivity: 0.73 and specificity: 0.84). Urinary AD7c-NTP is a valuable biomarker associated with post-stroke cognitive recovery. It might be adopted to discriminate coexisting AD pathology from vascular cognitive impairment.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.003 | 0.001 |
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".