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Record W4401925418 · doi:10.1080/23995270.2024.2383163

Plain Language Summary: Looking at treatment outcomes in people with Fabry disease who started agalsidase beta before the age of 30 years

2024· article· en· W4401925418 on OpenAlexaff
Robert J. Hopkin, Ana María Martins, Julia Alton, Camilla Tøndel

Bibliographic record

VenueFuture Rare Diseases · 2024
Typearticle
Languageen
FieldMedicine
TopicLysosomal Storage Disorders Research
Canadian institutionsCanadian Association of Gastroenterology
Fundersnot available
KeywordsFabry diseaseMedicinePediatricsBETA (programming language)DiseaseInternal medicineComputer science

Abstract

fetched live from OpenAlex

What did this study look at? An enzyme called alpha-galactosidase (alpha-Gal A) does not work properly or is absent in people with Fabry disease. Agalsidase beta (an enzyme replacement therapy) is a treatment for Fabry disease that substitutes for the non-working or absent alpha-Gal A enzyme. Using information from the Fabry Registry on young people who started agalsidase beta treatment between 5 and 30 years of age, researchers looked at the following over time: Kidney function decline.Heart muscle health.Fabry-related symptoms: ○ Stomach aches. ○ Diarrhoea. ○ Tingling or burning pain in hands and feet. ○ Pain crises (attacks of severe pain, also called Fabry crises).Characteristics of the people studied were: Males were younger than females when: ○ Symptoms first started. ○ Agalsidase beta treatment was first started.

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)0.002
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.078
Threshold uncertainty score0.262

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0780.012

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 head0.007
GPT teacher head0.273
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; 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 designObservational
Domainnot available
GenreOther

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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