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Record W2097014087 · doi:10.1016/j.bbmt.2012.11.186

Safety and Efficacy From Intravenous Busulfan with PK-Directed Dosed Adjustment and Bortezomib Conditioning Regimen in Relapsed Multiple Myeloma Patients Undergoing a Second Autologous Hematopoietic Stem Cell Transplantation

2013· article· en· W2097014087 on OpenAlexaffabout
Voravit Ratanatharathorn, Edward A. Stadtmauer, Rosa F. Yeh, César O. Freytes, Juan J. Toro, Görgün Akpek, Entezam Sahovic, Guido Tricot, Paul Shaughnessy, Darrell White, Tulio E. Rodriguez, Scott R. Solomon, Louie H. Yu, Shiva Patil, Yiping Sun, Elizabeth Armstrong, Angela Smith, Agnes Elekes, Kazunobu Kato, Donna Reece

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2013
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsQueen Elizabeth II Health Sciences CentrePrincess Margaret Cancer CentreDalhousie University
Fundersnot available
KeywordsMedicineMultiple myelomaBusulfanBortezomibRegimenHematopoietic stem cell transplantationTransplantationSurgeryUrologyPharmacokineticsProgressive diseaseDosingAutologous stem-cell transplantationInternal medicineChemotherapy

Abstract

fetched live from OpenAlex

The aim of this prospective, multicenter Phase IIa study was to investigate whether daily intravenous busulfan (IV Bu) with bortezomib is a safe and effective conditioning regimen prior to second, salvage autologous hematopoietic stem cell transplantation (ASCT) for relapsed multiple myeloma (MM) 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 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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.216
Teacher spread0.209 · 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 designNon-randomized trial
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

Citations0
Published2013
Admission routes2
Has abstractyes

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