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Past, present and future of myoblast transplantation in the treatment of Duchenne muscular dystrophy

2010· review· en· W2146168670 on OpenAlexaff
Beniamino Palmieri, Jacques P. Tremblay, Daniele Lodi

Bibliographic record

VenuePediatric Transplantation · 2010
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineDuchenne muscular dystrophyTransplantationDystrophinImmunosuppressionMyocyteMuscular dystrophyBridge to transplantationInternal medicineHeart transplantation

Abstract

fetched live from OpenAlex

Palmieri B, Tremblay JP, Lodi D. Past, present and future of myoblast transplantation in the treatment of Duchenne muscular dystrophy. Pediatr Transplantation 2010: 14:813–819. © 2010 John Wiley & Sons A/S. Abstract: DMD is a genetic X‐linked recessive disease that affects approximately one in 3500 male births. Boys with DMD have progressive and predictable muscle destruction because of the absence of Dys, a protein present under the muscle fiber membrane. Dys deficiency induces contraction‐related membrane damages, activation of inflammatory‐necrosis‐fibrosis up to the cardiac‐diaphragmatic failure and death. This review supports the therapeutic role of MT associated with immunosuppression in DMD patients, describing the history and the rationale of such approach. The authors underline the importance to evaluate a protocol of myoblast intradermal multi‐injection to apply in young DMD patients.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.009
GPT teacher head0.262
Teacher spread0.253 · 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

Citations55
Published2010
Admission routes1
Has abstractyes

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