5-HT and S100β values in evaluating severity of cognitive impairment after traumatic brain injury
Bibliographic record
Abstract
INTRODUCTION: The aim of the study was to investigate the relationship between serum serotonin (5-HT) and central nervous system specific protein S100b application value in evaluating the severity of cognitive impairment after traumatic brain injury (TBI). MATERIAL AND METHODS: 102 patients with TBI treated in Jilin Neuropsychiatric Hospital from June 2018 to October 2020 were selected. According to Montreal Cognitive Assessment (MoCA) scale, patients were tested for cognitive function from multiple levels, such as attention, executive function, memory, and language. Patients with cognitive impairment were included into study group ( n = 64), and those without cognitive impairment were assigned to control group ( n = 58). Serum 5-HT and S100b were compared between the two groups with b level. Serum 5-HT and S100b were analyzed by receiver operating characteristic curve (ROC), b application value judging cognitive impairment. RESULTS: Serum 5-HT and S100b levels in the study group were significantly higher than those in the control group ( p < 0.05). In serum 5-HT and S100b, there was a significant negative correlation with a MoCA score ( r = -0.527, r = -0.436; p < 0.05, p < 0.05). Combined detection of serum 5-HT and S100b's area under ROC curve (AUC) was 0.810 (95% CI: 0.742-0.936, p < 0.05), sensitivity was 0.842, and specificity was 0.813. CONCLUSIONS: Serum 5-HT and S100b levels are closely related to the cognitive function of TBI patients. Combined detection is helpful to improve the accuracy of predicting 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 | 0.001 | 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 | 0.000 |
| 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".