Zinc Metabolism in Patients on Maintenance Hemodialysis
Bibliographic record
Abstract
Recent studies have focused attention on the possible role of zinc depletion in the pathogenesis of uremic symptoms such as dysgeusia and impotence. The present studies were undertaken to evaluate the prevalence of zinc deficiency and abnormalities of zinc metabolism in patients with end-stage renal disease. A total of 43 stable chronic hemodialysis patients were screened for evidence of zinc deficiency by measurement of fasting predialysis leukocyte and plasma zinc. The results were compared with those from 30 healthy volunteers. Seventeen of these 43 patients had 65Zn absorption measured, and in 9 the rate of disappearance of 65Zn from the body was also measured. The results were compared with those obtained in 20 healthy controls. The nutritional status of these 17 patients was estimated by global nutritional assessment and calculation of the Quetelet index while 9 of 17 had dietary zinc intake calculated from a diet history. The mean plasma zinc level was lower in the hemodialysis patients (11.7 +/- 2.3 mumol/l vs. 13.3 +/- 2.9 mumol/l in controls; p less than 0.05). The mean leukocyte zinc level was 0.81 +/- 0.27 mumol/g dry weight in dialysis patients and 0.81 +/- 0.22 mumol/g in controls (p greater than 0.2). The mean 65Zn absorption in the patients was 49 +/- 14% and in controls 53 +/- 12% (p greater than 0.2). Mean turnover of body 65Zn was 0.47 +/- 0.11%/day in patients and 0.43 +/- 0.18%/day in controls (p greater than 0.1). The mean 65Zn half-life was 154 +/- 29 days in patients and 187 +/- 75 days in controls (p greater than 0.05).(ABSTRACT TRUNCATED AT 250 WORDS)
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".