Bibliographic record
Abstract
The aim of this cross-sectional study was to compare health-related quality of life (HRQOL) of Russian hemodialysis (HD) patients with the general population and international data, and to determine factors influencing HRQOL. One thousand forty-seven HD patients from 6 dialysis centers were studied (576 male, age 43.5 +/- 12.5 years, HD duration 55.0 +/- 47.2 months). Health-related quality of life was evaluated by SF-36. Self-appraisal Depression Scale (W. Zung), State-Trait Anxiety Inventory, and Level of Neurotic Asthenia Scale were used. Hemodialysis patients scored significantly lower than the general Russian population in the majority of SF-36 scales. The only exception was the Mental Health score, which was even better than the general population. The Mean physical component score (PCS) of HD patients was 36.9 +/- 9.7, and the mental component score was (MCS) 44.2 +/- 10.5. In multiple linear regression analysis, increasing age, HD duration, depression level and number of days of hospitalization in the past 6 months were significant independent predictors of low PCS along with a low level of serum albumin. Advancing age was also a predictive factor for low MCS along with increase of HD duration, depression level, trait anxiety, and level of asthenia. As far as we know, this is the first study to report on HRQOL of a large sample of Russian HD patients performed using SF-36. Compared with the general population, Russian HD patients had significantly lower scores on the majority of SF-36 scales, especially in the physical domain. The mean PCS and MCS were comparable with European data for HD patients. A number of demographic, clinical, and psychological variables affect HRQOL.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".