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Record W2091121234 · doi:10.1016/j.bbmt.2003.08.012

The source of cells for allografting

2003· review· en· W2091121234 on OpenAlexaff
Stephen Couban, Michael J. Barnett

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2003
Typereview
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsMedicinePeripheral bloodHaematopoiesisSiblingBone marrowDiseasePeripheralHematopoietic cellBone marrow transplantationPeripheral Blood Stem CellsImmunologyTransplantationHematopoietic stem cell transplantationInternal medicineStem cell

Abstract

fetched live from OpenAlex

Peripheral blood is used almost exclusively as the source of hematopoietic cells for autografting, but the best source of cells for allografting is the subject of considerable discussion and debate. Randomized studies comparing unstimulated bone marrow with G-CSF-mobilized peripheral blood in the sibling allogeneic setting have indicated a trend to more chronic graft-versus-host disease in peripheral blood recipients. However, whether the use of G-CSF-mobilized peripheral blood cells leads to more acute graft-versus-host disease is uncertain. Adults undergoing sibling allografting appear to benefit in terms of improved disease-free survival or improved overall survival with the use of G-CSF-mobilized peripheral blood. It is not clear, however, whether these benefits also extend to children or those undergoing matched unrelated transplantation.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.004

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 head0.307
Teacher spread0.277 · 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 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

Citations11
Published2003
Admission routes1
Has abstractyes

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