Комплексная оценка фармакотерапии больных с первым психотическим эпизодом: применение сертиндола
Bibliographic record
Abstract
The aim of this investigation was to study the effects of Sertindole at initial stages of schizophrenia and schizophrenia spectrum disorders. It was a naturalistic investigation that involved 30 patients. All the patients underwent a clinical-psychopathological investigation, and also were evaluated by means of a number of instruments, such as PANSS, the Questionnaire for Assessment of Mental Patients Social Functioning and Quality of Life, the Calgary Depression Scale for Schizophrenia (CDSS) and the EuroQol. The researchers also evaluated the extrapyramidal symptoms, body mass index, and changes in the QTc interval abnormalities during psychotropic drug therapy. All the measurements were taken before starting medication and after 1, 2, 3 and 6 months of treatment with Sertindole. Patients' cognitive functions were evaluated by means of the test battery the Brief Assessment of Cognition in Schizophrenia (BACS). The results of this investigation show the effect of Sertindole (Serdolect) at initial stages of schizophrenia and schizophrenia spectrum disorders in patients with varying severity of symptoms. It provided rapid and at the same time gradual improvement, with even reduction of individual components of the syndrome. Very obvious was the effect of the medication on thought disorders and apathic-adynamic symptoms. As for neurocognitive functions, the improvements concerned mainly motor and executive functions. There was also a noticeable improvement of patientssocial functioning and their quality of life, and the medication was well tolerated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".