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Record W2055796763 · doi:10.1097/mph.0b013e31803b95b3

Epstein-Barr–associated Leiomyomatosis and T-cell Chimerism After Haploidentical Bone Marrow Transplantation for Severe Combined Immunodeficiency Disease

2007· article· en· W2055796763 on OpenAlexaff
Srilatha Atluri, Kathleen Neville, Mary M. Davis, Kent A. Robertson, Francis E. Marshalleck, Dennis P. O’Malley, Rebecca H. Buckley, Robert P. Nelson

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2007
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineImmunodeficiencyBone marrowTransplantationSevere combined immunodeficiencyEpstein–Barr virusImmunologyChemotherapyDiseaseHerpesviridaePathologyViral diseaseVirusImmune systemInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The clinical course of Epstein-Barr virus (EBV)-associated smooth muscle tumors is variable and there are no reports in patients with mixed T-cell chimerism after bone marrow transplantation (BMT). OBSERVATIONS: A child with X-linked severe combined immunodeficiency disease developed multiple renal and pulmonary leiomyomata 8 years after haploidentical BMT. Epstein-Barr viral DNA was detectable in the blood and in situ hybridization for EBV-encoded RNAs was positive in the tumor. The tumors have been radiographically stable, chimerism remains mixed, and plasma EBV DNA has been repeatedly negative for over 2 years after donor lymphocyte infusion. CONCLUSIONS: EBV-associated smooth muscle tumors may occur in patients who are partially reconstituted after BMT for severe combined immunodeficiency and may not require surgery or chemotherapy.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.001
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 head0.008
GPT teacher head0.272
Teacher spread0.264 · 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

Citations15
Published2007
Admission routes1
Has abstractyes

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