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Record W1989801762 · doi:10.1016/j.bbmt.2008.12.253

Matched Unrelated Bone Marrow Transplant for Omenn Syndrome

2009· article· en· W1989801762 on OpenAlexaff
Amit Nahum, Brenda Reid, Eyal Grunebaum, Chaim M. Roifman

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineBone marrowTransplantationSurgeryImmune systemInternal medicineGastroenterologyImmunology

Abstract

fetched live from OpenAlex

Little information is currently available on the outcome and the long term restoration of immune function in infants with Omenn syndrome (OS) treated with bone marrow transplantation (BMT). We prospectively followed patients with OS who received matched unrelated donor bone marrow transplantation at our center. Engraftment, immune reconstitution and transplant-related complications were recorded. Humoral and cellular immunity were evaluated. Six patients with OS were diagnosed at a mean age of 4.6 months. Two had mutations in the RMRP gene, one had mutations in DNA Ligase 4, while the rest genotype could not be determined. They received a matched unrelated donor bone marrow transplantation as the first BMT at the mean age of 9.4 months. All six patients are alive and well at a mean 95 months after transplant. All patients have evidence of full hemopoetic engraftment and robust immune reconstitution. Three out of six patients developed GvHD of Grade II or more, which was reversed in all patients by using short courses of high dose methylprednisolone. We have shown here that matched unrelated donor bone marrow transplantation is highly effective in curing patients with Omenn syndrome regardless of their genotype. This mode of treatment should be preferred for patients with OS when a related identical donor is not available.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.773

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 head0.007
GPT teacher head0.217
Teacher spread0.210 · 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 designBench or experimental
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

Citations1
Published2009
Admission routes1
Has abstractyes

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