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Hodgkin Lymphoma in a Child With Diamond Blackfan Anemia

2006· article· en· W2088811405 on OpenAlexaff
Nilgün Yarış, Erol Erduran, Ümit Çobanoğlu

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineMacrocytic anemiaDiamond–Blackfan anemiaMalignancyAnemiaLymphomaAplasiaHypoplasiaHepatocellular carcinomaPathologyDermatologyInternal medicine

Abstract

fetched live from OpenAlex

Diamond Blackfan anemia (DBA) is a rare disease characterized by aplasia or hypoplasia of erythroid lineage. Normochromic, usually macrocytic, but occasionally normocytic anemia and reticulocytopenia are characteristic findings of DBA. DBA is associated with an increased risk of malignancy. Most of the reported malignancies are acute myeloid leukemia. Solid tumors including hepatocellular carcinoma and osteosarcoma have also been identified. We could find 29 reported cases with DBA and malignancy. Two of them were diagnosed as Hodgkin lymphoma at 15 and 23 years, respectively. Here we report a 7-year-old boy with DBA who developed Hodgkin disease.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.252
Teacher spread0.246 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations11
Published2006
Admission routes1
Has abstractyes

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