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Record W4246608042 · doi:10.14740/cr838

A Case of Acute Heart Failure due to Immune Checkpoint Blocker Nivolumab

2019· article· en· W4246608042 on OpenAlexvenueno aff
Munish Sharma, Giselle Alexandra Suero‐Abreu, Bernard Kim

Bibliographic record

VenueCardiology Research · 2019
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNivolumabFulminantCardiologyInternal medicineHeart failureCardiomyopathyImmune checkpointMyocarditisDiseaseBlockadeImmunotherapyCancer

Abstract

fetched live from OpenAlex

Immune checkpoint inhibitors can be potentially cardiotoxic. It has not been frequently reported in the literature. Cardiomyopathy with these agents can have early onset and may start with non-specific symptoms like fatigue, weakness before presenting with obvious features of acute heart failure. Rapid progression and fulminant course of this disease necessitate high index of clinical suspicion and early diagnosis. High-dose steroids should be instituted early to blunt the immune response against myocardium. Further bigger studies are needed to fully understand the pathogenesis of this condition. Cardiol Res. 2019;10(2):120-123 doi: https://doi.org/10.14740/cr838

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score0.539

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.364
Teacher spread0.329 · 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 designBench or experimental
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

Citations14
Published2019
Admission routes1
Has abstractyes

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