Quality of Life Is Correlated to Anemia in Children and Adolescent Undergoing Hemodialysis
Bibliographic record
Abstract
INTRODUCTION: Anemia is a common symptom of end stage renal disease in children and adolescents. Anemia is one factor for patients with end stage renal disease that have an effect on quality of life. Therefore, the purpose of this study was to examine the correlation between the hemoglobin level and quality of life and fatigue level for children and adolescent in Jordan. MATERIALS & METHODS: A cross-sectional correlational design was used. A total of 121 children and adolescences were recruited from hemodialysis units at seven hospitals of three cities in Jordan. Data collected through the 34-item Pediatric Quality of Life Inventory 3.0 End-Stage Renal Disease (PedsQL 3.0 ESRD questionnaire. RESULTS: The results of this study demonstrated that 38 (31.4%) school-age children their age ranged from 6 to 12 years old, while adolescents (13-20) years old 83 (68.6%), and 67 (55.4) of them were female. Children and adolescents with ESRD reported low mean hemoglobin level over 7 months below 11.1g/dlSD (1.9). A significantly negative correlation between the PedsQL total scores with mean hemoglobin levels p<0.05 was reported, and positive correlation with fatigue sub-score p<0.05. CONCLUSIONS: It is essential for nurses and patients to recognize the relationship between anemia and low quality of life and high fatigue level for end stage renal disease children and adolescent patients. Finding of current study are facilitating to design especial program for improve the nutritional and health status for those ESRD 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".