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Record W2078778946 · doi:10.4021//jmc.v4i6.1029

Cinacalcet and Acute Heart Failure on Dialysis - A New Association

2013· article· en· W2078778946 on OpenAlexvenueno aff
Suzanne Forbes, Dhakshinamurthy Vijay Anand, R. Andrew Archibald, Neil Ashman

Bibliographic record

VenueJournal of Medical Cases · 2013
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsCinacalcetMedicineSecondary hyperparathyroidismCalcimimeticInternal medicineDialysisParathyroid hormoneCardiologyBone remodelingUrologyCalcium

Abstract

fetched live from OpenAlex

Secondary hyperparathyroidism (SHPT) is common in end stage renal disease and is associated with abnormal bone and mineral metabolism, vascular calcification, bone fracture and increased cardiovascular risk. Cinacalcet is an increasingly widely-used calcimimetic agent for the control of SHPT in such patients and trial data has confirmed its use as an efficacious strategy in achieving target parathyroid hormone (PTH) targets. Here we describe a previously undocumented side-effect of cinacalcet treatment in a man on haemodialysis who developed a new and severe dilated cardiomyopathy in clear association with starting cinacalcet. This subsequently resolved fully after withdrawal of the drug. This case, we believe, is the first documented case of severe left ventricular systolic dysfunction temporally associated with cinacalcet use. J Med Cases. 2013;4(6):389-392 doi: https://doi.org/10.4021/jmc1029w

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)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.307
Teacher spread0.292 · 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
Published2013
Admission routes1
Has abstractyes

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