Increased prevalence of toxoplasma gondii seropositivity in patients with treatment-resistant schizophrenia
Bibliographic record
Abstract
Introduction Previous studies suggested that patients with schizophrenia had an increased prevalence of antibodies against toxoplasma gondii (TG) and that those seropositive patients had higher symptom severity. However, there is no data on the relationship between treatment-resistant schizophrenia (TRS) and TG seroprevalence. Objectives To determine the association between TRS and TG seropositivity, and to further investigate the relationship between TG seropositivity and different clinical features of schizophrenia. Methods In this cross-sectional study, we included 210 male inpatients with schizophrenia. TG seropositivity was determined by ELFA assay. Treatment-resistance was defined as a failure of at least 2 adequate anti-psychotic trials. Data were analyzed using χ 2 test or Mann–Whitney test. Results The rate of TG seropositivity in the entire sample was 52.3%, whereas 47.6% of patients met the definition for treatment-resistance. Seropositive patients had twice the rate of treatment–resistance compared to seronegative patients (63.6% vs. 30.0%, P < 0.0001). Moreover, in the seropositive group, the patients were older (47.6 ± 12.2 vs. 39.81 ± 12.01 years, P < 0.0001), had higher number of previous hospitalizations (13.9 ± 11.7 vs. 9.6 ± 8.5, P = 0.0073), and increased Calgary depression scale for schizophrenia (CDSS) total score (7.8 ± 4.5 vs. 6.3 ± 3.8, P = 0.012). There were no differences between the groups in the age of disease onset, smoking, positive and negative syndrome scale (PANSS) total, positive and negative scores, and the life-time history of suicide attempts. Conclusions Our results support the hypothesis that TG seropositivity might contribute to treatment-resistance in schizophrenia, at least in male patients. Disclosure of interest The authors have not supplied their declaration of competing interest.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".