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Record W4313389918 · doi:10.1177/1753495x221145574

Calcium-alkali syndrome as a rare cause of severe hypercalcemia requiring dialysis in early twin gestation

2022· article· en· W4313389918 on OpenAlexaff
Paul Beamish, C. Mansour, Irena Druce, PD O'Meara

Bibliographic record

VenueObstetric Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineGestationDialysisVomitingHyperparathyroidismPregnancyInternal medicinePediatrics

Abstract

fetched live from OpenAlex

Hypercalcemia is rare in women of child-bearing age, and most cases are due to primary hyperparathyroidism. A 28-year-old woman, 14 weeks pregnant with dichorionic diamniotic twins, presented to hospital with vomiting, muscle cramps, and weakness. She had been taking calcium carbonate for gastric reflux and nausea from 5 weeks of gestation. Investigations revealed severe hypercalcemia, metabolic alkalosis, and renal injury. She was transferred to intensive care, receiving fluid resuscitation and subcutaneous calcitonin followed by dialysis. Investigations revealed suppressed PTH and PTH-related peptide, negative malignancy screening and low vitamin D level. Calcium and renal function quickly normalized and with cessation of calcium carbonate remained normal throughout the rest of pregnancy. Reports of calcium-alkali syndrome causing severe hypercalcemia are scarce, with most cases occurring later in gestation. This case represents a dramatic presentation requiring renal replacement therapy early in twin gestation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.312
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations1
Published2022
Admission routes1
Has abstractyes

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