GDNF, EGF and IGF-1 Levels in Acute and Remitted Schizophrenia Patients and Their Association with Symptom Severity: A Prospective Study
Bibliographic record
Abstract
The research explores difference of GDNF, EGF and IGF-1 levels between acute/remitted schizophrenia patients and healthy controls and associates their levels with symptom severity. GDNF was found to be significantly lower in schizophrenia patients at 8th week (remitted) than in healthy controls, IGF-1 was found to be significantly lower in schizophrenia patients at 4th week and 8th week; EGF levels were found to be significantly lower at all measurement times (baseline(acute), 4th and 8th week(remitted)). At 8th week there is significantly negative correlation of all marker levels with PANSS negative and PANSS total scores. Calgary Depression Scale of Schizophrenia also was done to schizophrenia patients at all measurement times in order to exclude comorbid depression that might contributes different marker levels.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".