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Record W4300968070 · doi:10.22374/cjgim.v17i3.608

Three Separate Instances of Cytarabine-Induced SIADH

2022· article· en· W4300968070 on OpenAlexaffvenue
Daniele Valentini, Debapria Das

Bibliographic record

VenueCanadian Journal of General Internal Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicElectrolyte and hormonal disorders
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineCytarabineHyponatremiaChemotherapyComplicationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

We present a case of cytarabine-induced syndrome of inappropriate secretion of antidiuretic hormone (SIADH), a rare manifestation and complication, which based on review of the medical literature was reported only in one prior case report. It involves a 74-year-old male with acute myeloid leukemia who developed asymptomatic hyponatremia during three cycles of consolidation chemotherapy with high-dose cytarabine (HiDAC). Urine studies were consistent with SIADH. Due to the rapid onset and timing throughout all three cycles, the SIADH was suspected to be secondary to cytarabine. Serum sodium quickly corrected after the final administered dose of cytarabine in all cycles, and fluid restriction was only instituted during the third cycle. RésuméNous présentons un cas de syndrome de sécrétion inappropriée d’hormone antidiurétique (SIADH) induit par la cytarabine, une manifestation et une complication rares que l’on ne rapporte que dans une seule étude de cas antérieure reposant sur une revue de la documentation médicale1. Il s’agit d’un homme de 74 ans atteint d’une leucémie myéloïde aiguë (LMA) chez qui est apparue une hyponatrémie asymptomatique pendant trois cycles de chimiothérapie de consolidation à des doses élevées de cytarabine. Les analyses d’urine sont compat-ibles avec le SIADH. En raison de la rapidité d’apparition et de la périodicité tout au long des trois cycles, on soupçonne que ce syndrome est attribuable à la cytarabine. La concentration sérique du sodium s’est corrigée rapidement après l’administration de la dernière dose de cytarabine à chaque cycle, et une restriction liquidi-enne n’a été instaurée qu’au cours du troisième cycle.

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)0.005
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.284
Teacher spread0.258 · 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
Published2022
Admission routes2
Has abstractyes

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