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Record W2043356726 · doi:10.1016/j.bbmt.2008.12.507

Current Status of Allogeneic Hematopoietic Stem Cell Transplantation for Paroxysmal Nocturnal Hemoglobinuria

2009· review· en· W2043356726 on OpenAlexaff
Nelson A. Matos-Fernandez, Yasser R. Abou Mourad, William Cáceres, Mohamed A. Kharfan‐Dabaja

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2009
Typereview
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineParoxysmal nocturnal hemoglobinuriaEculizumabPancytopeniaHematopoietic stem cell transplantationContext (archaeology)HemoglobinuriaAdverse effectDiseaseTransplantationIntensive care medicineInternal medicineImmunologyAnemiaBone marrowAntibody

Abstract

fetched live from OpenAlex

Treatment of patients with paroxysmal nocturnal hemoglobinuria (PNH) has been traditionally empirical, primarily aiming at ameliorating symptoms or treating complications resulting from the disease. Novel therapies such as eculizumab result in stabilization of hemoglobin levels and improvement in quality of life, but does not cure PNH. Nonrandomized studies suggest that long-term remissions are achievable when using myeloablative or nonmyeloablative/reduced-intensity (NMT/RIC) allogeneic hematopoietic stem cell transplantation (HSCT) as treatment for PNH. Nevertheless, patients with previous life-threatening complications from PNH may be more appropriately treated with an NMT/RIC regimen, rather than a myeloablative approach, because of the increased transplant mortality associated with the latter. The decision to perform an allogeneic HSCT (allo-HSCT) should weigh disease prognosis, by incorporating known adverse prognostic factors such as previous history of thrombosis and/or evolution to pancytopenia, among others, against the risk of transplant-related complications. Selection of the appropriate candidate and, equally important, the right time to perform an allo-HCT are important questions that need to be answered in the context of large prospective randomized trials.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.811
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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)0.0000.000

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 head0.030
GPT teacher head0.300
Teacher spread0.270 · 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 designOther design
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

Citations36
Published2009
Admission routes1
Has abstractyes

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