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Record W2090778139 · doi:10.1016/j.bbmt.2011.12.033

A Randomized Phase III Trial Investigating 2 Gy TBI Vs. Flu/2 Gy TBI Conditioning for HLA-Matched Related Donor Hematopoietic Cell Transplantation (HCT): Tempo of CD3 and NK Cell Engraftment Determines Relapse and Progression Free Survival in Patients with Hematologic

2012· article· en· W2090778139 on OpenAlexaff
Brian Kornblit, Barry E. Storer, Rainer Storb, Parameswaran Hari, Vladan Vučinić, Richard T. Maziarz, T Chauncey, Michael A. Pulsipher, Benedetto Bruno, Finn Bo Petersen, Wolfgang Bethge, Kai Hübel, Jan Storek, David G. Maloney, Brenda M. Sandmaier

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2012
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineHematopoietic cellHuman leukocyte antigenTransplantationHematopoietic stem cell transplantationRandomized controlled trialTotal body irradiationOncologyImmunologyHaematopoiesisInternal medicineStem cellAntigenChemotherapy

Abstract

fetched live from OpenAlex

Nonmyeloablative conditioning with fludarabine (Flu) and 2 Gy TBI with MMF/CSP postgrafting immunosuppression results in reliable allogeneic engraftment. A retrospective analysis of pts conditioned with 2 Gy TBI alone prior to receiving PBSC from HLA-matched related donors showed that rejection primarily occurred in pts who pre-HCT had not received intensive chemotherapy. Addition of Flu (30 mg/m2/d x 3 d) in a subsequent cohort seemed associated with increased nonrelapse mortality (NRM). Here, we report results of a phase III randomized multi-institutional trial that asked whether Flu was needed in heavily pretreated pts to assure sustained engraftment of HLA-matched related grafts.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0090.002

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 head0.011
GPT teacher head0.263
Teacher spread0.252 · 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 designRandomized 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
Published2012
Admission routes1
Has abstractno

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