Síntomas asociados al sufrimiento en pacientes con enfermedad renal crónica en hemodiálisis
Bibliographic record
Abstract
Introduction: Insufficiently controlled symptoms could be a determining factor or aggravation of suffering in patients undergoing hemodialysis. However, research about this topic is not enough. Objectives: This study aims to describe suffering according to severity of symptoms in patients with End-Stage Renal Disease undergoing hemodialysis. Materials and Method: The study is transversal, descriptive and observational with some tasks of correlation in a sample of 31 patients. The assessment tools were; the interview, the instrument to detect wellbeing/disturbance proposed by Bayés and collaborators and a series of subscales of the Edmonton Symptom Assessment Scale/ESAS to identify the intensity and frequency of symptoms that could be associated to suffering. Results: 87.1 % of the sample showed a low presence of symptoms with severe intensity associated to suffering in the last 24 hours, 77.4% showed low presence in the last week and 61.3 % showed a low presence in a period of one month. No significant association was found between the presence of symptoms with severe intensity associated to suffering in 24 hours. Conclusions: The majority of subjects were characterized by low presence of symptoms with severe intensity associated to that suffering. The magnitude of a set of symptoms did not result in an important factor associated to the suffering in these patients.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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; both teacher heads agree on what is shown here.
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".