Psychological Distress and Depression in Patients with Chronic Kidney Disease
Bibliographic record
Abstract
Depressive disorders are 1.5-4 times more prevalent in medically ill patients than in the general population. Mood disorders can be regarded as the final common pathway developing from the interaction among multiple pathophysiological, psychological, and socioeconomic stressors that chronic illness imposes on the individual. Symptoms of clinical depression affect approximately 25% patients on hemodialysis and can be associated with low quality of life and increased mortality. The epidemiology of depressive disorders is less well studied in the renal transplant population. However, depression is a risk factor for poor outcomes, such as graft failure and death after renal transplantation. A high prevalence of severe psychological distress in patients with advanced CKD and its impact on CKD outcomes call for screening and intervention integrated in routine renal care. Preliminary data indicate that some of the selective serotonin reuptake inhibitor agents and time-limited, manualized, structured psychotherapies can be safe and effective for treating depression in this population.
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 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) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".