Serum Selenium Levels in Hemodialysis Patients Are Significantly Lower than Those in Healthy Controls
Bibliographic record
Abstract
Serum selenium levels have been thought to be decreased in hemodialysis patients; however, results of previous studies have been inconsistent. Population-based hemodialysis patients (n = 1,041) and randomly recruited healthy controls (n = 384) were enrolled. Serum selenium levels were determined by inductively coupled plasma mass spectrometry and compared in hemodialysis patients and controls using analysis of covariance after adjustment for confounding factors with p < 0.1 as the result of the multiple regression analysis. Age, serum albumin levels, hsCRP levels, LDLC levels, HDLC levels, regular drinking habit and hemodialysis treatment were significantly associated with serum selenium levels in multiple regression analysis. Multivariate-adjusted means (95% CIs) of serum selenium levels were 103 μg/l (101-105) in hemodialysis patients and 117 μg/l (114-121) in controls. Selenium levels in hemodialysis patients were decreased. Whether decreased serum selenium levels contribute to increased risks for morbidity and mortality in hemodialysis patients should be examined.
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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 | 0.001 | 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".