[The role of psycho-autonomic status and the serotonergic system in patients with gastroesophageal reflux disease].
Bibliographic record
Abstract
OBJECTIVE: Identify the differences of the autonomic nervous system (ANS), serotonin levels, cognitive, behavioral and emotsinalnoy areas in groups of patients with reflux esophagitis (RE) and non-erosive reflux disease (NERD) and assess the impact on the disease. MATERIALS AND METHODS: The study included 71 patients rith gastroesophageal reflux disease (GERD), including 29 patients with ER, 42--NERD. Diagnosis was based on anamnesis, clinical research, fibrogastrocopy, pH-metry. Tested with a scale situational and personal anxiety Spielberg Hanina, diagnostic techniques and forms of aggression indicators A. Bass and A. Dark, the Toronto aleksitimicheskoy scale method for investigating the level of subjective control, clinical questionnaire for the identification and evaluation of neurotic states, personality questionnaire Bekhterevsky Institute, cardiointervalography, orthoklinostatik and cold test, determined the level of serotonin in the blood. RESULTS: Compared with the group of patients suffering from ER patients with NERD determined by the displacement in the direction of internality measure locus of control personality, and patients with ER, in contrast, had lower locus of control personality, a high level of situational anxiety, irritability, anxiety type of attitude to the situation of the disease associated with impaired autonomic software ANS activity. CONCLUSION: Patients with ER are more pronounced changes in cognitive-emotional sphere may have an impact on the course of disease and requiring psychological, medical correction.
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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 | 0.000 | 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) | 0.002 | 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".