Parathyroid hormone and biochemical profile in chronic kidney disease patients in South India
Bibliographic record
Abstract
Renal osteodystrophy is an important complication of chronic kidney disease characterized by abnormal bone turnover with varied bone histologic changes. Etiology is multifactorial including abnormalities of serum calcium, phosphorus, and 1,25(OH)(2)-vitamin D deficiency; secondary hyperparathyroidism; age; cause of kidney disease; diet; renal replacement therapy; and drug therapy. In addition, there is evidence that there may be ethnic differences. Our study is a description of a case series of hormonal and biochemical abnormalities of bone disease in end-stage renal disease patients in South India. A total of 115 patients were studied; 86% were on hemodialysis and 14% were on peritoneal dialysis (age, 47.31 +/- 14.66 years). Sixty-eight percent were men. Diabetes was the cause of end-stage renal disease in 29.5%. Intact parathyroid hormone (PTH) level was 124.6 +/- 174.9 pg/mL and less than twice normal in 69.5% of patients. Hypocalcemia was present in 16.5% and hyperphosphatemia in 35.7% of patients. Empirical vitamin D was prescribed in 40% of patients. Age, sex, diabetic status, and vitamin D use were similar in patients with high PTH (130 pg/mL) and low PTH levels (< 130 pg/mL). Bone histologic studies were not performed owing to economic limitation. But the biochemical and hormonal results are suggestive of a mild form of osteodystrophy in Indian patients. Etiology remains uncertain but differences in dietary intake, tropical climate, vitamin D activation, vitamin D receptor polymorphism, parathyroid gland sensitivity, and PTH target organ sensitivity may account for the difference in pattern in bone disease.
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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 | 0.001 | 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".