Valoración de los niveles de alexitimia en pacientes en hemodiálisis
Bibliographic record
Abstract
Introduction: Alexithymia is a mood alteration manifested by difficulty in becoming aware of one's feelings and fantasies, as well as being able to express them verbally. It has been related to the development of other pathologies and the presence of chronic diseases. In the case of renal failure, it has been associated with poorer adherence to treatment and increased risk of mortality. Therefore, we consider assessing the presence of alexithyma in a group of hemodialysis patients in our center. Methods: Sample of 63 patients on hemodialysis, men and women, aged between 22 and 83 years. Hemodialysis treatment time was also collected. Descriptive cross-sectional study with data collected between February and April 2019. The Toronto Alexithymia Scale was applied individually. Frequency values were quantified for test scores and mean comparisons were made for sex, age and time on dialysis. Results: We found that 22.2% of the sample (14 subjects) shows clinically relevant alexithymia values. No significant differences were found in alexithymia scores according to sex, age or time on dialysis. Conclusions: The findings of this study allow us to conclude that almost a quarter of dialysis patients has alexithymia, warning of the need for these people to receive specialized psychological treatment.
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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 | 0.001 | 0.002 |
| 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) | 0.001 | 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".