The influence of family history of schizophrenic spectrum disorders on the clinical presentation of schizophrenia
Bibliographic record
Abstract
Objective: to identify the characteristics of the clinical debut of schizophrenia, as well as clinical aspects related to hereditary aggravation within schizophrenic spectrum disorders.Materials and methods: patients with a confirmed diagnosis of F20.0 “Paranoid schizophrenia” selected according to inclusion/non-inclusion criteria participated in the study. Material was collected through clinical interviewing, analysis of medical records and documentation, and self-questionnaires.Results: a total of 264 individuals participated in the study. Hereditary aggravation with schizophrenic spectrum disorders within two generations was detected in 127 of them (48.1%). Our results showed that having a family history of schizophrenic spectrum disorders correlated with earlier age of schizophrenia debut (p=0.018) and higher scores on the Calgary Depression Scale (p=0.013).Conclusions: the findings may serve as an effective tool for developing more accurate diagnostic strategies in individuals at high risk of developing schizophrenia due to hereditary aggravation, as well as for the subsequent treatment of these individuals.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".