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Record W4397042504 · doi:10.1681/asn.20233411s1952a

FollowME Fabry Pathfinders Registry: Renal Effectiveness in a Cohort of Patients on Migalastat Treatment for at Least Three Years

2023· article· en· W4397042504 on OpenAlexaff
Michael L. West, Derralynn Hughes, Gere Sunder–Plassmann, Ana Jovanović, Eva Brand, Daniel G. Bichet, Antonio Pisani, Albina Nowak, Roser Torrá, Olga Azevedo, Anna Lehman, Aleš Linhart, Jasmine Rutecki, Joseph Giuliano, Eva Krusinska

Bibliographic record

VenueJournal of the American Society of Nephrology · 2023
Typearticle
Languageen
FieldMedicine
TopicLysosomal Storage Disorders Research
Canadian institutionsUniversity of British ColumbiaUniversity of CalgaryUniversité de MontréalHôpital du Sacré-Cœur de MontréalDalhousie University
Fundersnot available
KeywordsMedicineCohortFabry diseaseInternal medicineUrologyDisease

Abstract

fetched live from OpenAlex

Background: The followME Fabry Pathfinders registry (EUPAS20599) is evaluating real-world safety, effectiveness and patient-reported outcomes for patients with Fabry disease who were enrolled into one of three groups: migalastat-amenable GLA variants receiving migalastat, any GLA variant receiving enzyme replacement therapy and migalastat-amenable GLA variants not receiving Fabry disease-specific therapy (untreated). Methods: We present effectiveness data across categories of kidney function at enrollment in a cohort of patients who had received ≥3 years of migalastat treatment. Enrolled patients were ≥12 years old with an estimated glomerular filtration rate (eGFR) >30 mL/min/1.73 m2. Results: As of August 2022, 125 patients (60.0% males; median age, 58.0 years) with amenable GLA variants had a mean migalastat exposure of 3.9 years. At enrollment, mean±SD eGFR was 83.7 ± 22.5 mL/min/1.73 m2, and overall, 17 (14.7%) patients had an eGFR <60 mL/min/1.73 m2. Median urine albumin: creatinine ratio was 19.0 mg/g (range 0-1124, n=40). Mean (SD) eGFR annualized rate of change (mL/min/1.73 m2/year) in the overall cohort was -0.9 (4.9). When analyzed by eGFR category at enrollment annualized change was -1.0 (3.9) in patients with eGFR ≥90 (33.6%), -1.0 (5.9) in patients with eGFR ≥60-90 (43.2%), and -0.4 (3.5) in patients with eGFR ≥30-60 (12.8%). Overall, 94.4% of patients did not experience a renal Fabry-associated clinical event (FACE: doubling of serum creatinine level from the start of analysis [two consecutive values]; end-stage renal disease requiring long term dialysis or transplantation). Seven patients each experienced one renal FACE for an incidence of 14.2/1000 patient-years. When excluding patients with the mostly cardiac variant p.N215S (69.6%, n=87) mean eGFR rate of change was -1.4 (4.6) mL/min/1.73 m2/year, n=81) and renal FACEs incidence was 20.9/1000 patient-years. Conclusions: These data support sustained effectiveness with migalastat, regardless of kidney function at enrollment, in an amenable real-world cohort of patients with Fabry disease. Funding: Commercial Support - Amicus Therapeutics

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)0.004
metaresearch head score (Gemma)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.315
Teacher spread0.289 · 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
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

Citations1
Published2023
Admission routes1
Has abstractyes

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