MétaCan
Menu
Back to cohort

CE: Tumor Lysis Syndrome: An Oncologic Emergency

2023· article· en· W4319460480 on OpenAlexaff
Stephanie Rivera-Gamma, Mary Elizabeth Davis

Bibliographic record

VenueAJN American Journal of Nursing · 2023
Typearticle
Languageen
FieldMedicine
TopicMethemoglobinemia and Tumor Lysis Syndrome
Canadian institutionsCanadian Pharmacists Association
Fundersnot available
KeywordsTumor lysis syndromeLysisMedicineIntracellularNucleic acidIntensive care medicineHyperkalemiaInternal medicineImmunologyBiologyChemotherapyBiochemistry

Abstract

fetched live from OpenAlex

ABSTRACT: Tumor lysis syndrome is an oncologic emergency caused by the release of intracellular material, such as potassium, phosphate, and nucleic acids, into the bloodstream from the disintegration (lysis) of tumor cells. This condition, which is characterized by electrolyte imbalances, can be life-threatening, causing arrhythmias, seizures, acute kidney injury, and multiple organ failure. The prevention and treatment of tumor lysis syndrome requires immediate recognition of patients at risk for its development. With this knowledge, nurses can better manage and monitor treatments, thereby preventing complications and achieving better patient outcomes.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.367
Teacher spread0.327 · 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 designObservational
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

Citations5
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAJN American Journal of NursingSame topicMethemoglobinemia and Tumor Lysis SyndromeFrench-language works237,207