Bibliographic record
Abstract
Uremic itching is a common problem with multifactorial etiology seen in hemodialysis patients. This study was carried out to determine the factors affecting and incidence of itching in patients undergoing hemodialysis treatment. The descriptive study was carried out in 130 patients who underwent hemodialysis treatment because of end-stage renal disease in Eastern Turkey between October 2014 and December 2014. A questionnaire prepared by the researcher based on the literature and the Visual Analog Scale were used for data collection. The data were collected by the researcher through face-to-face interviews in the hemodialysis unit. The evaluation of data obtained in the research has been performed using SPSS 16.0 software using percentages, chi-square analysis, and t-test. As a result of the study, 85.4% of the patients were found to have itching, the severity of itching was 4.86 ± 3.01 according to Visual Analog Scale, and itching of the patients was found to be affected by serum phosphorus and parathyroid hormone levels. Uremic itching continues to be seen as a problem in hemodialysis 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 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 | 0.000 | 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) | 0.001 | 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".