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Record W4405533599 · doi:10.1136/bcr-2024-262595

Severe hypophosphataemia and hypocalcaemia following intravenous ferric derisomaltose and denosumab administration

2024· article· en· W4405533599 on OpenAlexafffund
Justin Kritzinger, Jonathan Wyse, Andrew C. Karaplis

Bibliographic record

VenueBMJ Case Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsJewish General HospitalMcGill University
FundersCanadian Institutes of Health Research
KeywordsHypocalcaemiaDenosumabMedicineCalcitriolHypophosphatemiaInternal medicineHyperphosphatemiaEndocrinologyParathyroid hormoneVitamin D and neurologyFibroblast growth factor 23CalciumOsteoporosis

Abstract

fetched live from OpenAlex

vitamin D. Commonly prescribed therapies for iron-deficiency anaemia (IDA) such as ferric carboxymaltose and ferric derisomaltose (FDM) have been shown to disrupt phosphorus homeostasis, resulting in hypophosphataemia. Similarly, denosumab use can result in hypocalcaemia due to the inhibition of osteoclastic maturation, activity and survival. Here, we report the development of severe hypophosphataemia and hypocalcaemia in a patient with osteoporosis and IDA following treatment with denosumab and FDM. The patient remained asymptomatic; however, supplementation with calcium, phosphorus and calcitriol replacement was required prior to eventual normalisation of serum levels. Often concomitantly prescribed, little guidance exists regarding electrolyte disturbances following the administration of FDM and denosumab. While hypophosphataemia and hypocalcaemia are relatively uncommon when prescribed individually, synergistic effects likely exist that warrant regular monitoring and occasional supplementation.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.690

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 head0.017
GPT teacher head0.314
Teacher spread0.297 · 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 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

Citations2
Published2024
Admission routes2
Has abstractyes

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