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Record W2559128200 · doi:10.3747/pdi.2015.00215

Intraperitoneal Calcitriol for Treatment of Severe Hyperparathyroidism in Children with Chronic Kidney Disease: A Therapy Forgotten

2016· article· en· W2559128200 on OpenAlexaff
Rahul Chanchlani, Susan Ackerman, Elizabeth Piva, Elizabeth Harvey

Bibliographic record

VenuePeritoneal Dialysis International · 2016
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsSickKids FoundationMcMaster Children's HospitalHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineCalcitriolSecondary hyperparathyroidismKidney diseaseAlfacalcidolPeritoneal dialysisHyperparathyroidismVitamin D and neurologyInternal medicineGastroenterologyUrologySurgeryOsteoporosisParathyroid hormoneCalciumBone mineral

Abstract

fetched live from OpenAlex

Active Vitamin D sterols such as calcitriol and alfacalcidol are quite effective in the treatment of mineral bone disease secondary to chronic kidney disease. However, some children on peritoneal dialysis (PD) are resistant to oral formulations of active Vitamin D, and use of an intravenous formulation in such patients is inconvenient. In these children, intraperitoneal (IP) calcitriol has been shown to be effective in the treatment of secondary hyperparathyroidism. However, its use has declined. We report 2 children, aged 1 and 9.5 years, on chronic cycler PD with severe secondary hyperparathyroidism refractory to oral active Vitamin D who were successfully treated with IP calcitriol for a period of 12 and 4 months, respectively. We also discuss the published literature on the efficacy of IP calcitriol for treatment of secondary hyperparathyroidism and specific considerations for its use in PD patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.626

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.286
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2016
Admission routes1
Has abstractyes

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