Biochemical and imaging alterations of renal bone disease in newly detected predialysis and on maintenance dialysis patients
Bibliographic record
Abstract
Skeletal involvement in chronic kidney disease manifests long before the initiation of dialysis. This study aimed at identifying the extent of renal bone disease among predialysis and on maintenance dialysis patients. Thirty-two patients (Group 1) on maintenance hemodialysis (MHD) for a variable period of time were compared with 20 newly detected irregularly treated advanced renal failure (immediately predialysis), patients (Group 2) for their clinical, biochemical and imaging features. The mean age of Group 1 and Group 2 patients was 45+/-14 vs. 34+/-15 years (p<0.05). Comparison of blood biochemistries between Groups 1 and 2 showed serum creatinine 9.9+/-2.9 vs. 13.4+/-4.4 mg/dL (p<0.01); calcium 10.1+/-1.8 vs. 7.8+/-1.2 mg/dL (p<0.001); phosphate 4.4+/-1.2 vs. 7.9+/-2.1 mg/dL (p<0.001); alkaline phosphatase 116.4+/-31.7 vs. 85.7+/-30.6 IU/L (p<0.05); and parathormone 71.7+/-48.2 vs. 146.9+/-92.1 pg/mL (p<0.05). Radiological changes present in the 2 groups were as follows: osteopenia 63% vs. 65% (ns); trabecular resorption 53% vs. 20% (p<0.05); soft tissue calcification 31% vs. 10% (p<0.05); bone cysts 16% vs. 26% (ns); and subperiosteal bone resorption 16% vs. 20% (ns). Technetium 99 methylene diphosphonate (Tc-99 MDP) bone scans in both groups of patients showed similar increased uptake in wrist joint, tibia-fibula, costochondral junction, vertebral column, sternum, radius-ulna and mandible. X-ray findings were positive for bone involvement in 59% of cases, and Tc-99 scan was positive in 80% (p<0.05). It is concluded that newly detected, irregularly treated patients with advanced renal failure who are predialysis may present with deranged calcium homeostasis and a high prevalence of bone involvement similar to MHD patients.
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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 | 0.000 |
| 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) | 0.001 | 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".