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Record W2523876999 · doi:10.14740/jmc.v7i10.2646

Severe Hypocalcemia After the Administration of Zoledronic Acid for Osteoporotic Fracture

2016· article· en· W2523876999 on OpenAlexvenueno aff
Do‐Hee Kim

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineZoledronic acidBisphosphonateOsteoporosisvitamin D deficiencyVitamin D and neurologyInternal medicineKidney diseaseMalignancyHypoparathyroidismGastroenterologyUrologySurgery

Abstract

fetched live from OpenAlex

Zoledronic acid is a potent intravenous bisphosphonate used in the treatment of osteoporosis and malignancy-induced hypercalcemia or bone metastasis. Although zoledronic acid generally seems to be safe and well-tolerated, rare but life-threatening nephrotoxicity or hypocalcemia may occur. The majority of cases of hypocalcemia with zoledronic acid have been seen in patients with underlying malignancy and are asymptomatic or mild. Vitamin D deficiency, renal failure, hypoparathyroidism, and hypomagnesemia have been reported as risk factors for hypocalcemia. Here, the author reports a case of severe symptomatic hypocalcemia following the administration of zoledronic acid for the treatment of osteoporotic fracture. This patient also had underlying but unrecognized vitamin D deficiency and chronic kidney disease. Following the administration of calcium and vitamin D, her symptoms improved and calcium levels returned to normal within several days. To avoid serious hypocalcemia with zoledronic acid, calcium and vitamin D status and renal function should be assessed and corrected if appropriate. J Med Cases. 2016;7(10):441-444 doi: http://dx.doi.org/10.14740/jmc2646w

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)0.003
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
Metaresearch0.0000.003
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 integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.334
Teacher spread0.311 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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