Inflammatory Status In Antipsychotic Free Schizophrenic Patients
Bibliographic record
Abstract
Background:Schizophrenia is associated with the activation of the immune/inflammatory system. C-reactive protein is an inflammatory marker of hepatic origin linked to metabolic and cardiovascular diseases and mortality in the general population. It may be associated with schizophrenia.Aim : The purpose of the present study was to examine whether CRP is elevated in the plasma of patients with schizophrenia.Methods: This was a cross-sectional case-control study conducted between June 2016 and July 2018 on antipsychotic-free schizophrenia patients compared to healthy controls. Patients were hospitalized at the psychiatric C department in Hedi Chaker University Hospital (UH) in Sfax. The diagnosis of schizophrenia was established according to DSM-5 criteria. The symptomsu2019 severity was evaluated by the positive and negative syndrome scale (PANSS). Cognitive functions were evaluated according to the Montreal Cognitive Assessment (MoCA) scale.The analysis of CRP levels was performed in the laboratory of Biochemistry in Habib Bourguiba UH in Sfax using an immunoturbidimetric method by Cobas 6000 Analyser (Rocheu00ae).Results:The sample consisted of 145 individuals: 45 with schizophrenia and 100 with no psychiatric disorder. The levels of CRP in the schizophrenia group were significantly increased compared to controls (6,58 u00b117 mg/L VS 1,79u00b11,87 mg/L ; p<0,01).In antipsychotic-free patients, CRP level was positively correlated with the severity of the psychopathology as measured by PANSS scale. This relationship was especially notable for positive but not negative symptoms (r=0,17, p=0,04).Conclusion:The elevation of CRP level is seen in drug-free chronic schizophrenia. However, studies with a larger sample size are required to confirm these results.
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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) | 0.002 | 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".