The Suffering of Advanced Chronic Renal Patients and Their Relationship with Symptoms in Loja, Ecuador
Bibliographic record
Abstract
Advanced Chronic Kidney Disease (ACKD) supposes a public health problem in Ecuador that requires a comprehensive approach. In view of the scarcity of studies on the subject in this country, the objective of this research was to determine the signs and symptoms associated with the patients' physical, social and psychological spheres that allow properly developing palliative care. A longitudinal, prospective and observational study was conducted with ACKD patients. In order to assess the symptomatic burden and suffering of these patients, the Edmonton Symptom Assessment System Revised: renal (ESAS-r) for renal patients and the Distress Thermometer (DT) were used. The sample consisted of a total of 246 patients. The most common symptoms that affect them, causing them suffering in their daily lives, are those related to well-being, difficulty falling asleep and itching. It is necessary that health professionals adapt care measures and help patients undergoing renal treatment, especially those who have suffered the disease for a longer period of time, in order to alleviate the patients' suffering and therefore improve their daily lives. To such an end, a care plan could be designed that includes early palliative care.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".