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Record W1987935356 · doi:10.1097/mop.0000000000000041

What is new in the biology and treatment of pediatric rhabdomyosarcoma?

2013· review· en· W1987935356 on OpenAlexaff
Douglas S. Hawkins, Abha A. Gupta, Erin R. Rudzinski

Bibliographic record

VenueCurrent Opinion in Pediatrics · 2013
Typereview
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsUniversity of TorontoSickKids FoundationHospital for Sick Children
FundersNational Cancer Institute
KeywordsRhabdomyosarcomaMedicineRisk stratificationOncologyChromosomal translocationBioinformaticsInternal medicineSarcomaBiologyPathologyGeneticsGene

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The purpose of this review is to highlight some of the advances in the way we think about rhabdomyosarcoma (RMS). Recent outcome and biological analyses have shifted the risk stratification and treatment paradigms for pediatric RMS. RECENT FINDINGS: The presence or absence of the FOXO1 translocation is one of the most important prognostic factors in RMS. Future clinical studies will incorporate FOXO1 translocation status within risk stratification criteria. Molecular analyses have identified RAS/NF1, hedgehog, IL-4R, and ALK pathway abnormalities as potential therapeutic targets in RMS. Reductions in systemic therapy are possible, although radiation therapy remains essential to prevent local failures in most patients. SUMMARY: Although survival for RMS has not improved in recent years, refinement in risk stratification, further understanding of the biological drivers of the disease, and modifications in treatment intensity have set the stage for the next generation of studies in RMS.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
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 head0.175
GPT teacher head0.436
Teacher spread0.260 · 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.

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

Citations72
Published2013
Admission routes1
Has abstractyes

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