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.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".