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Record W1985410833 · doi:10.1182/blood-2008-01-128686

Is allergic disease curable or transferable with allogeneic hematopoietic cell transplantation?

2008· review· en· W1985410833 on OpenAlexaff
Faisal Khan, Teal S. Hallstrand, Michelle Geddes, William R. Henderson, Jan Storek

Bibliographic record

VenueBlood · 2008
Typereview
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsUniversity of Calgary
FundersFondation pour la Recherche Médicale
KeywordsImmunologyMedicineTransplantationDiseaseAllergyHematopoietic stem cell transplantationPathologyInternal medicine

Abstract

fetched live from OpenAlex

In the pathogenesis of allergic asthma/rhinitis, 2 main types of cells play a role: hematolymphatic cells (mast cells, eosinophils, T cells, B cells) and nonhematolymphatic cells (airway smooth muscle cells, epithelial cells). It is not known which one of the 2 cell types plays the primary role. Here we review the literature on allergic disease transfer and potential cure with allogeneic hematopoietic cell transplantation (HCT), as transferability and curability would support a primary role of hematolymphatic cells and have implications for donor selection for HCT and possible future treatment of severe allergic disease with HCT. A total of 18 nonallergic recipients were reported to develop allergic disease after transplantation; however, conclusive information for transfer was available for only 5 cases. Allergic disease was reported to abate in 3 allergic recipients; however, conclusive information for "cure" was available for only 2 cases. Problems in interpreting the reports include incomplete data on allergic disease in the donor or recipient before transplantation, not knowing the denominator, and the lack of controls. In summary, review of the literature generates the hypothesis that allergic disease is transferable and curable with HCT. A prospective study, including appropriate controls, is needed to evaluate this hypothesis.

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 score0.932
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.280
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.

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

Citations37
Published2008
Admission routes1
Has abstractyes

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