Psychosocial variables are associated with being wait-listed, but not with receiving a kidney transplant in the Dialysis Outcomes and Practice Patterns Study (DOPPS)
Bibliographic record
Abstract
BACKGROUND: Psychosocial factors are associated with clinical outcomes in patients with end-stage renal disease. It is not known if self-reported depression and quality of life influence the likelihood of being wait-listed and receiving a transplant. METHODS: Prevalent cross section of 18- to 65-year-old hemodialysis (HD) patients in the USA (N = 2033) and seven European countries (N = 4350) from the Dialysis Outcomes and Practice Patterns Study phase II and III was analyzed. Wait-listed patients (N = 1838) were followed until kidney transplantation. Self-reported depressive symptoms were assessed by the Center for Epidemiologic Studies-Depression scale, 10-item version (CES-D) and health-related quality of life (HR-QoL) by the Kidney Disease Quality of Life Short Form 12 scale Physical Component Score (PCS). RESULTS: At study entry, 27% (USA) to 53% (UK) of patients were wait-listed in participating countries. Variables associated with lower odds of being on the waiting list included worse HR-QoL, more severe depressive symptoms, older age, fewer years of education, lower serum albumin, lower hemoglobin, shorter time on dialysis and presence of multiple comorbid conditions. Among wait-listed patients, significantly lower transplantation rates were seen for females, blacks, patients having prior transplantation and multiple comorbid conditions but not PCS or CES-D. CONCLUSIONS: Fewer depressive symptoms and better HR-QoL are associated with being on the waiting list in prevalent HD patients but not with receiving a kidney transplant among wait-listed dialysis patients. Regular assessment of subjective well-being may help identify patients with reduced access to wait-listing and kidney transplantation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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".