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Record W2738009647 · doi:10.1056/nejmc1705994

ANGPTL3 Inhibition in Homozygous Familial Hypercholesterolemia

2017· letter· en· W2738009647 on OpenAlexaff
Daniel Gaudet, Daniel A. Gipe, Robert Pordy, Zahid Ahmad, Marina Cuchel, Prediman K. Shah, Kuang-Yuh Chyu, William J. Sasiela, Kuo‐Chen Chan, Diane Brisson, Étienne Khoury, Poulabi Banerjee, Viktoria Gusarova, Jesper Gromada, Neil Stahl, George D. Yancopoulos, G. Kees Hovingh

Bibliographic record

VenueNew England Journal of Medicine · 2017
Typeletter
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsUniversité de MontréalUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsMedicineFamilial hypercholesterolemiaInternal medicineCholesterol

Abstract

fetched live from OpenAlex

Evinacumab, a monoclonal antibody that blocks ANGPTL3, was administered to nine adults with homozygous familial hypercholesterolemia. At 4 weeks, LDL cholesterol was reduced by a mean of 49%, with a mean absolute change from baseline of −157 mg per deciliter.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.025
GPT teacher head0.285
Teacher spread0.260 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations329
Published2017
Admission routes1
Has abstractyes

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