Alexithymia; an often missed condition prevelant in the practice of nephrology
Bibliographic record
Abstract
Aim: Alexithymia is a disorder associated with difficulty in recognizing and expressing feelings, which can lead to an increased susceptibility to disease development that makes alexithymia a possible risk factor for chronic kidney disease (CKD). This study was performed to evaluate for alexithymia in pre-dialysis CKD and end-stage renal disease patients undergoing hemodialysis.Material and Method: The study was conducted in the Nephrology Outpatient Department and Hemodialysis unit of Ümraniye Research and Training Hospital. The patients had to have a diagnosis of CKD. Demographic data form, routine biochemical follow up data of patients, Toronto Alexithymia Scale (TAS), and Hospital Depression and Anxiety Scale (HADS) were used in this study. The statistical significance level was determined as p<0.05.Results: A total of 111 patients (mean age 58.10±13.48 years, 61% female) were included in the study, 83.9% of whom were found to have alexithymia. The incidence of alexithymia in CDK patients was significantly higher than that in the control group (p=0.004); however, no statistically significant difference was detected in its incidence between the hemodialysis and pre-dialysis groups (p>0.05). The results showed that increased incidence of depression resulted in a 4.47-fold (p=0.035) increase in the incidence of alexithymia. Conclusion: Alexithymia has been found to be high in patients with chronic kidney disease. Therefore, it is essential that we be aware of patients’ emotional stress and assess them for depression, anxiety, and alexithymia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".