CHIMES-I: Sub-Group Analyzes of the Effects of NeuroAiD According to Baseline Brain Imaging Characteristics among Patients Randomized in the CHIMES Study
Bibliographic record
Abstract
RATIONALE: The clinical effects of neuroprotective and/or neurorestorative therapies may vary according to location and size of the ischemic injury. Imaging techniques can be useful in stratifying patients for trials that may be beneficial against particular ischemic lesion characteristics. AIM: To test the hypothesis that the efficacy of NeuroAiD compared with placebo in improving functional outcome and reducing neurological deficit in patients with cerebral infarction of intermediate severity varies between sub-groups of patients randomized in the main Chinese Medicine Neuroaid Efficacy on Stroke study when categorized according to baseline imaging characteristics. DESIGN: This is a retrospective cohort sub-group analysis of patients who participated in the main Chinese Medicine Neuroaid Efficacy on Stroke study, a multicenter, double-blind, placebo-controlled trial that recruited 1100 patients within 72 h of ischemic stroke onset with National Institutes of Health Stroke Scale 6-14 and were randomized to either NeuroAiD or placebo taken four capsules three times daily for three months. Review of the baseline images to classify the acute stroke lesions in terms of size, location, and extent of involvement will be performed retrospectively by two readers who will remain blinded as to treatment allocation and outcomes of the subjects. STUDY OUTCOMES: The primary efficacy end-point in the main Chinese Medicine Neuroaid Efficacy on Stroke study is the modified Rankin Scale grades at three-months. Secondary efficacy end-points are the National Institutes of Health Stroke Scale score at three-months; difference of National Institutes of Health Stroke Scale scores between baseline and 10 days and between baseline and three-months; difference of National Institutes of Health Stroke Scale sub-scores between baseline and 10 days and between baseline and three-months; modified Rankin Scale at 10 days, one-month, and three-months; Barthel index at three-months; and Mini Mental State Examination at 10 days and three-months. Analysis of these primary and secondary end-points will be performed for sub-groups defined in this study after review of the baseline brain imaging: nonlacunar and lacunar, cortical and sub-cortical, hemispheric vs. brainstem, Alberta Stroke Program Early CT score <7 and 7-10, and score <8 and 8-10.
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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 | 0.012 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".