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Record W2766769088 · doi:10.1016/j.bbmt.2017.10.030

Outcomes of Unrelated Donor Stem Cell Transplantion with Post-Transplant Cyclophosphamide for Graft-versus-Host Disease Prophylaxis in Patients with Severe Sickle Cell Disease

2017· article· en· W2766769088 on OpenAlexaff
Hemalatha G. Rangarajan, Rolla Abu‐Arja, Vinita B. Pai, Gregory M.T. Guilcher, Sandeep Soni

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2017
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineFludarabineBusulfanCyclophosphamideGraft-versus-host diseaseHematopoietic stem cell transplantationTransplantationTacrolimusInternal medicineSurgeryRegimenStem cellIncidence (geometry)GastroenterologyMycophenolateCalcineurinDiseaseChemotherapy

Abstract

fetched live from OpenAlex

Unrelated donor (URD) hematopoietic cell transplantation (HCT) in children with sickle cell disease (SCD) is associated with a high incidence of rejection and graft-versus-host disease (GVHD). We report on the first 4 patients with severe SCD who underwent URD HCT using a novel myeloablative and immunosuppressive regimen composed of busulfan, fludarabine, and antithymocyte globulin with a single dose of post-transplant cyclophosphamide along with tacrolimus and mycophenolate mofetil for GVHD prophylaxis. Three patients engrafted and remain disease-free after a median follow-up period of 2.5 years. One patient had primary graft failure attributed to low stem cell content of the graft. Of interest, none of the engrafted patients developed acute or chronic GVHD. This preparative regimen along with the use of post-transplant cyclophosphamide offers a promising approach for unrelated donor transplants in patients with SCD and needs further corroboration in larger number of patients.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.674

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 head0.005
GPT teacher head0.206
Teacher spread0.201 · 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

Citations14
Published2017
Admission routes1
Has abstractyes

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