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Record W2007832072 · doi:10.1542/peds.2006-3209

Neonatal Hyperparathyroidism and Pamidronate Therapy in an Extremely Premature Infant

2007· article· en· W2007832072 on OpenAlexaff
Lisa M. Fox, Joel Sadowsky, Kevin P. Pringle, Alexa Kidd, J. R. Murdoch, David E.C. Cole, Esko Wiltshire

Bibliographic record

VenuePEDIATRICS · 2007
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineOsteomalaciaParathyroidectomyHyperparathyroidismPediatricsCalciumEndocrinologyInternal medicineVitamin D and neurologyParathyroid hormone

Abstract

fetched live from OpenAlex

We describe the use of pamidronate to control marked hypercalcemia in an extremely premature infant with neonatal hyperparathyroidism that resulted from an inactivating mutation (R220W) of the calcium-sensing receptor. Despite improvement in bone mineralization and subsequent parathyroidectomy with normalization of the serum calcium level, the combination of chronic lung disease, osteomalacia, and poor thoracic cage growth ultimately proved fatal. Pamidronate therapy seems to be safe in the short-term and effective in helping control hypercalcemia even in the very premature infant, allowing for planned surgical intervention when it becomes feasible.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.364
Teacher spread0.321 · 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

Citations52
Published2007
Admission routes1
Has abstractyes

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