Nephrology pre‐dialysis care affects the psychological adjustment, not only blood pressure, anemia, and phosphorus control
Bibliographic record
Abstract
Several studies have suggested that pre-dialysis care is associated with clinical outcomes. However, little has been reported on the influence of pre-dialysis care on the psychological adjustment to dialysis. The purpose of this study was to evaluate the impact of pre-dialysis care on psychological adjustment to dialysis and clinical characteristics. In this cross-sectional study, we enrolled 52 patients who started hemodialysis at our hospital. They were divided into two groups according to the time of referral to our hospital: the early referral group (over 1 year prior to first dialysis: 19 patients, mean age 69.3 ± 11.1) and the late referral group (within 1 year prior to first dialysis: 33 patients, mean age 72.3 ± 8.9). We measured the clinical characteristics and evaluated the psychological adjustment to dialysis by Shontz's stage theory. Compared with the late referral group, the early referral group had a significantly better clinical characteristics concerning blood pressure (140.2 ± 23.7 vs. 156.9 ± 23.3 mmHg, P = 0.0150), hemoglobin (10.3 ± 1.5 vs. 9.4 ± 1.0 g/dL, P = 0.0078), and phosphorus (4.5 ± 1.5 vs. 5.5 ± 1.3 mg/dL, P = 0.0166). In addition, psychological adjustment to dialysis evaluated by Shontz's stage theory was significantly better in the early referral group (P = 0.017). Our results indicate that nephrology pre-dialysis care affects not only blood pressure, anemia, and phosphorus control but also the psychological adjustment to dialysis.
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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 | 0.002 |
| 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 | 0.000 |
| 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".