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Record W2314619822 · doi:10.2174/1566523043346516

Getting to the Heart of the Matter: Exploring Opportunities for Gene Therapy Treatment of Dystrophic Cardiomyopathy

2004· review· en· W2314619822 on OpenAlexaff
Steven M. Kolodziejczyk, Lynn A. Megeney

Bibliographic record

VenueCurrent Gene Therapy · 2004
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsUniversity of OttawaOttawa Hospital
Fundersnot available
KeywordsCardiomyopathyMuscular dystrophyGenetic enhancementMedicineDuchenne muscular dystrophyBioinformaticsDiseaseSkeletal muscleHeart diseaseModalitiesCardiologyHeart failureGeneInternal medicineGeneticsBiology

Abstract

fetched live from OpenAlex

Muscular dystrophies are broadly classed as skeletal muscle disease entities of genetic origin. Accordingly, the development and application of gene therapy treatment modalities has focused on skeletal muscle gene replacement. Irrespective of this generalization, most forms of dystrophy are accompanied by progressive cardiomyopathy and cardiac involvement in muscular dystrophies is now recognized as an independent risk for patient morbidity. In this review, we summarize the available murine strains most suitable for modeling the dystrophic myocardium and discuss the use of adenoviral based vector systems as the preferred gene delivery vehicle for modulating dystrophic cardiomyopathy.

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)0.000
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: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.004

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 head0.215
GPT teacher head0.353
Teacher spread0.138 · 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
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
Published2004
Admission routes1
Has abstractyes

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