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Record W4414364561 · doi:10.1177/26330040251362885

Gene therapy for children with X-linked myotubular myopathy: a plain language summary of publication for the ASPIRO study

2025· review· en· W4414364561 on OpenAlexaff
Perry B. Shieh, Wendy Hughes, M. Wood, Alan H. Beggs, Michael W. Lawlor, Julie Coats, Fatbardha Varfaj, Robert J. Graham, Nancy L. Kuntz, James J. Dowling, Wolfgang Müller‐Felber, C. Bönnemann, Ana Buj Bello, Laurent Servais, Victoria MacBean, Francesco Muntoni, A. Reghan Foley, Astrid Blaschek, Emma S. James, A. Seferian, Lindsay N. Alfano, Tina Duong, Mojtaba Noursalehi, Weston P. Miller, Jun Lee, Suyash Prasad, Salvador Rico

Bibliographic record

VenueTherapeutic Advances in Rare Disease · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsPlain languageDiseaseGenetic enhancementMEDLINEClinical trial

Abstract

fetched live from OpenAlex

What is this summary about? This summary describes the results of a research study (clinical trial) called ASPIRO that was published in the Lancet Neurology in 2023. This study looked at an investigational gene therapy called resamirigene bilparvovec (also known as AT132) as a possible treatment for children with a disease called X-linked myotubular myopathy (abbreviated as XLMTM).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.016
GPT teacher head0.317
Teacher spread0.300 · 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 designOther design
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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