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Record W2955177581 · doi:10.1097/mph.0000000000001538

Effective High-dose Interferon-α Therapy in a 13-Year-Old Girl With Erdheim-Chester Disease

2019· article· en· W2955177581 on OpenAlexaff
Özlem Tezol, Elvan Çağlar Çıtak, Yavuz Ayhan, Yüksel Balcı, Zehra Pınar Koç, Yasemin Yuyucu Karabulut

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicHistiocytic Disorders and Treatments
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsErdheim–Chester diseaseMedicineHistiocyteGirlHistiocytosisDiseasePathologyPediatricsDermatology

Abstract

fetched live from OpenAlex

Erdheim-Chester disease (ECD) is a proliferative disorder of non-Langerhans histiocytes with a higher incidence in the fifth to seventh decades and rarer occurrence in the pediatric population. Although ECD typically involves bone, it can also affect the central nervous system, cardiovascular system, retro-orbital space, retroperitoneal space, and kidneys, lungs, and skin. A 13-year-old Syrian girl who presented with multisystemic involvement was diagnosed with ECD. The B-Raf proto-oncogene V600E mutation was not detected in ECD lesions. Response to the high-dose interferon-α therapy was excellent in this pediatric patient. In this article, pediatric ECD case reports are also reviewed.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.284
Teacher spread0.274 · 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 designCase report
Domainnot available
GenreEmpirical

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

Citations7
Published2019
Admission routes1
Has abstractyes

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