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Record W4403428338 · doi:10.70270/8xa9mof

“A hot topic”: TTR amyloidosis gets its moment to shine at ESC 2024

2024· article· en· W4403428338 on OpenAlexaboutno aff
Sarah von Riedemann

Bibliographic record

VenueMednet · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsTransthyretinAmyloidosisMoment (physics)MedicinePathologyPhysicsClassical mechanics

Abstract

fetched live from OpenAlex

n transthyretin amyloidosis (ATTR), the liver produces an abnormal transthyretin (TTR) protein, which aggregates into amyloid fibrils that accumulate in peripheral nerves and the heart. Over time, this can lead to progressive cardiomyopathy (ATTR-CM), heart failure (HF), and premature mortality. At the recent meeting of the ESC there was much excitement and enthusiasm about ATTR-CM, largely inspired by the HELIOS-B trial of vutrisiran, an RNA interference (RNAi) agent that, if approved, would become only the second medication indicated for ATTR-CM. This report reviews the most relevant insights from the meeting into the diagnosis and management of ATTR-CM, with expert commentary on their relevance and implications for Canadian clinicians.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score1.000

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)0.0010.001

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 head0.014
GPT teacher head0.280
Teacher spread0.266 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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