Acidosis and Renal Calcium Excretion in Experimental Chronic Renal Failure
Bibliographic record
Abstract
In renal failure, absolute calcium excretion is low, but fractional excretion (FE) of filtered load is increased. In order to determine the role of metabolic acidosis in contributing to increased FECa, we have studied thyroparathyroidectomized dogs in a control phase and following the induction of chronic renal failure, both during spontaneous metabolic acidosis and after correction with NaHCO3. FECa was 3.7% in controls and increased to 13.7% in azotemic acidotic dogs (p less than 0.01). After correction of acidosis FENa was not significantly changed, but FECa fell significantly, to 8.1% (p less than 0.01), while glomerular filtration rate, plasma calcium and filtered calcium load were unchanged. Thus although FECa is increased in nonacidotic azotemic dogs, acidosis further enhances calcium excretion by inhibiting renal tubular calcium reabsorption. These effects of metabolic acidosis may contribute to hypocalcemia and bone disease in azotemia.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".