Fibroblast growth factor 23 and α-Klotho serum concentration did not differ between children with autosomal dominant polycystic kidney disease and healthy controls
Bibliographic record
Abstract
Introduction Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited monogenous kidney disease that can also be seen in children. One of the indicators of changes in metabolism in ADPKD children according to the novel knowledge are fibroblast growth factor 23 (FGF-23) and -Klotho protein. Aim To observe whether children who suffer from ADPKD whilst preserving normal kidney function (eGFR > 90 ml/min/1.73 m2) have any changes in the concentration of FGF-23 and Klotho protein along with the growth of renal volume. Material and methods The study was a cross-sectional analysis of 70 children aged from 1 to 18.8 years. FGF-23 and Klotho were measured by the ELISA tests. Clinical and laboratory analysis comprised the following: ultrasound measurement of the total kidney volume (TKV), eGFR calculation, serum calcium, phosphate, and urinary albumin excretion. Results Serum concentration of FGF-23 did not differ between children suffering from ADPKD and the control group (27.77 pg/ml vs. 24.15 pg/ml; p = 0.96). -Klotho concentrations were also similar (1650 pg/ml vs. 1440 pg/ml; p = 0.14) between both groups. Klotho correlated significantly with FGF-23 (Rs = 0.55; p = 0.000002) and eGFR (Rs = 0.25; p = 0.039566). No significant relation was detected between FGF-23 or Klotho concentration and albumin excretion, TKV, age, or anthropometric measures. Conclusions FGF-23 and -Klotho concentration did not differ significantly between children suffering from ADPKD and the control group.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".