Transient hyperphosphatasemia in pediatric renal transplant patients – Is there a need for concern and when?
Bibliographic record
Abstract
Kutílek Š, Skálová S, Vethamuthu J, Geier P, Feber J. Transient hyperphosphatasemia in pediatric renal transplant patients – Is there a need for concern and when? Pediatr Transplantation 2012: 16: E5–E9. © 2010 John Wiley & Sons A/S. Abstract: TH of infancy and early childhood is characterized by transiently increased S‐ALP, predominantly its bone or liver isoforms. There are neither signs of metabolic bone disease or hepatopathy corresponding to the increased S‐ALP, nor a common underlying/triggering disease. TH may also occur in children post‐renal Tx, which may raise significant concerns and anxiety. We describe four patients aged 2.8–7 yr in whom the TH occurred at 11–34 (median = 28) months after Tx and lasted from 40 to 105 (median = 63) days. No obvious cause/trigger of TH could be found; the clinical status and bone turnover were not altered. In cases of TH post‐Tx, we recommend the evaluation of basic biochemical indices and wrist X‐ray. If these results are normal, TH is most likely the diagnosis and the S‐ALP can be monitored over the next three months without further testing. In patients with persisting TH for more than three months and/or in children with pre‐existing or suspected metabolic bone disease, further evaluation may be indicated. In conclusion, TH is a benign disorder in patients post‐Tx. Detailed investigation including bone biopsy is only indicated in patients with persisting TH.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".