The role of gastrointestinal specific anxiety and alexithymia as predictors of the severity of irritable bowel syndrome in women
Bibliographic record
Abstract
Aim. To analyze the role of gastrointestinal specific anxiety and alexithymia in predicting the severity of the disease in 194 women with moderate to severe IBS with refractory course (average duration of the disease 38.4 months). Methods of investigation. Gastrointestinal Symptom Rating Scale-IBS (GSRS-IBS), Irritable Bowel Syndrome Severity Scoring System (IBS-SSS), Visceral Sensitivity Index (VSI), TAS-20, HADS, and SF-12. Results. It was shown that in women, the severity of irritable bowel syndrome and the risks of refractory course are closely related to high alexithymia and uncontrolled gastrointestinal specific anxiety, which are also related to each other. Patients with severe IBS significantly differ from patients with moderate symptomocoplex manifestations (pain, bloating, diarrheal manifestations), satisfaction with the quality of life, pronounced symptoms of depression, visceral sensitivity and alexithymia, which contributes to the formation of a number of therapeutic barriers. Regression analysis showed that the severity of IBS was equally predicted by presence of alexithymia and gastrointestinal specific anxiety in the patient. Conclusions. Alexithymia, especially the difficulty of expressing negative emotions (for example, irritation, anger), describing feelings, desires to other people, was a stronger factor in women predicting the severity of IBS compared to gastrointestinal specific anxiety. The presented symptomatic picture of alexithymic manifestations in patients with IBS shows that violations of emotional awareness affect the pathogenesis, the spectrum of reinsurance and avoidance behavior.
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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 | 0.002 |
| 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) | 0.001 | 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".