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Record W4412602895 · doi:10.1016/j.jacl.2025.07.008

Brief communication: Strong concordance of the North American Familial Chylomicronemia Syndrome Score with a positive genetic diagnosis in patients from the Balance study

2025· article· en· W4412602895 on OpenAlexaff
Alan S. Brown, Philippe Moulin, Andrew Dibble, Veronica Alexander, Lu Li, Daniel Gaudet, Joseph L. Witztum, Sotirios Tsimikas, Robert A. Hegele

Bibliographic record

VenueJournal of clinical lipidology · 2025
Typearticle
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsWestern UniversityUniversité du Québec à Chicoutimi
FundersIonis Pharmaceuticals
KeywordsMedicineConcordanceBalance (ability)PediatricsInternal medicinePhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with familial chylomicronemia syndrome (FCS) are often misdiagnosed. A positive genetic diagnosis is considered definitive, but clinical scoring systems can also identify affected patients. The North American FCS (NAFCS) Score is intended to identify patients likely to have positive DNA testing, but its sensitivity has not been quantified. OBJECTIVE: To evaluate NAFCS Scores in patients from the Balance study. METHODS: We calculated NAFCS Scores in 66 patients with genetically confirmed FCS from the Balance study of olezarsen. RESULTS: We found that 95.5% (63/66) and 74.2% (49/66) of patients had NAFCS Scores ≥45 ("likely FCS") and ≥60 ("definite FCS"), respectively. In contrast, no patient had a score <30 ("unlikely FCS"), while 4.5% (3/66) had scores between 30 and 44 ("uncertain FCS"). CONCLUSION: The strong concordance between NAFCS Score ≥45 and a positive genetic diagnosis of FCS suggests that either approach can be used for diagnosis except in "uncertain FCS" cases, which require genetic testing. The score might also clinically support an FCS diagnosis when genetic testing is indeterminate due to variants of unknown significance.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.324
Teacher spread0.304 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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