Correlation between C-reactive Protein Levels with Cognitive Function and Body Mass Index in Schizophrenia
Bibliographic record
Abstract
AIM: The objectives of the study were to determine the correlation between C-reactive protein (CRP) levels with cognitive function and body mass index (BMI) in a patient with schizophrenia. METHODS: This is a numerical correlative analytic study with a cross-sectional approach by means of nonprobability sampling with consecutive sampling with inclusion and exclusion criteria from August 2019 to November 2019 in the Prof. Dr. M. Ildrem Psychiatric Hospital in Province of North Sumatra after getting approval from the Research Ethics Committee at the Faculty of Medicine, University of North Sumatra. RESULTS: There is a very strong correlation in which Pearson correlation test between the high-sensitivity CRP (HsCRP) value with BMI and the Montreal cognitive assessment Versi Indonesia score in schizophrenic patients with a correlation coefficient value of r = 0.951 and r = –0.743, respectively, with a very strong correlation (p < 0.001). CONCLUSIONS: Increased pro-inflammatory activity, especially HsCRP may cause impaired cognitive function in people with schizophrenia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".