Évaluation prospective de la douleur à la ponction de la fistule artérioveineuse en hémodialyse chronique
Bibliographic record
Abstract
Dialysis patients experience tremendous symptom burden and substantial impaired health-related quality of life (HRQL).We determined the association between symptom burden and HRQL in 591 hemodialysis patients.Patients completed the modified Edmonton Symptom Assessment System and the Kidney Dialysis Quality of Life Short Form at baseline and after six months.There were no demographic, serological, or dialysis-related predictors for either HRQL or symptom burden. Pain, tiredness, lack of well-being, and depression were the only independent predictors of mental HRQL, accounting for 42.5% of the variation in the baseline mental health composite (MHC). Pain, fatigue, lack of well-being, and shortness of breath were the only independent predictors of physical HRQL, accounting for 38.5% of the variation in the baseline physical health composite (PHC). After follow-up, only changes in depression, anxiety, tiredness, and lack of appetite were independently associated with a change in MHC score, accounting for 48.7% of the variability. Only changes in pain, tiredness, and lack of appetite were independently associated with a change in PHC, accounting for 44.6% of the variability in the final multivariate regression model. No change in biochemical parameters predicted a change in either the MHC or the PHC.Symptom burden in end-stage renal disease was substantial and had a tremendous negative impact on all aspects of hemodialysis patients' HRQL. These patients, therefore, would likely benefit from the institution of programs to reduce symptom burden.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".