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Record W4404374818 · doi:10.1158/1078-0432.ccr-24-1947

Update on Pediatric Surveillance Recommendations for <i>PTEN</i> Hamartoma Tumor Syndrome, <i>DICER1-</i> Related Tumor Predisposition, and Tuberous Sclerosis Complex

2024· review· en· W4404374818 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical Cancer Research · 2024
Typereview
Languageen
FieldMedicine
TopicTuberous Sclerosis Complex Research
Canadian institutionsMcGill UniversityMcGill Genome CentreHospital for Sick ChildrenUniversity of Toronto
FundersDivision of Cancer Epidemiology and Genetics, National Cancer InstituteManchester Biomedical Research CentreNational Cancer InstituteNational Institutes of HealthDepartment of Health and Social CareNational Institute for Health and Care Research
KeywordsPTENTuberous sclerosisMedicineMultidisciplinary approachHamartomaGenetic predispositionPediatricsOncologyPathologyPI3K/AKT/mTOR pathwayDiseaseGeneticsBiology

Abstract

fetched live from OpenAlex

Phosphate and tensin homolog hamartoma tumor syndrome, DICER1-related tumor predisposition, and tuberous sclerosis complex are rare conditions, which each increases risk for distinct spectra of benign and malignant neoplasms throughout childhood and adulthood. Surveillance considerations for each of these conditions focus on patient and family education, early detection, and multidisciplinary care. In this article, we present updated surveillance recommendations and considerations for children and adolescents with phosphate and tensin homolog hamartoma tumor syndrome, DICER1-related tumor predisposition, and tuberous sclerosis complex and provide suggestions for further research in each of these conditions.

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.

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)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.372
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.004
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0010.001

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 head0.432
GPT teacher head0.540
Teacher spread0.108 · 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