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Adult Matched Sibling Blood Cell Transplants (BCT) after Myeloablative Conditioning Incorporating Daily Intravenous (IV) Busulfan (BU) and Low-Dose Antithymocyte Globulin (ATG): Outcomes with Particular Respect to Transplant-Related Mortality (TRM) in 140 Patients.

2004· article· en· W2495125619 on OpenAlexaff
James A. Russell, Ahsan M. Chaudhy, Oluyeme Jeje, Diana Quinlan, Douglas A. Stewart, Donald G. Morris, Nizhar J. Bahlis, Lynne Savoie, Christopher B. Brown, Loree Larratt, Michelle Geddes, A. Robert Turner

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsFoothills Medical Centre
Fundersnot available
KeywordsThymoglobulinMedicineBusulfanFolinic acidFludarabineInternal medicineGastroenterologyCumulative incidenceIncidence (geometry)RegimenGraft-versus-host diseaseSurgeryMethotrexateTransplantationChemotherapyHematopoietic stem cell transplantationCyclophosphamideKidney transplantationFluorouracil

Abstract

fetched live from OpenAlex

Abstract Intravenous BU allows more predictable exposure and is more convenient to administer once daily than the conventional four times daily regimen. Low-dose pretransplant ATG may reduce morbidity and mortality from graft-versus-host disease (GVHD). We have investigated a myeloablative regimen incorporating these agents in 140 adults aged 18–65 (median 47) receiving a first MRD SCT between 05/99 and 01/04. Conditioning comprised fludarabine (FLU) 50mg/m2on days −6 to −2 and IV BU (Busulfex, ESP Pharma) 3.2 mg/kg daily days −5 to −2 inclusive (FLUBUP) in 116 patients (pts) with additional TBI 200cGy x 2 in 24 (14 ALL, 8AML, 2 biphenotypic). Forty-three pts had standard-risk (SR) acute leukemia in CR1 (35 AML, 8 ALL), and 23 had active acute leukemia (HA) (18 AML±MDS, 3 ALL, 2 biphenotypic). A third group of 74 other (OTH) pts comprised 2 AML CR2, 2 ALL CR2, 2 CML (1 AP, 1CP2), 13 MDS, 11 MM, 24 NHL, 6 HD (2 with CLL), 8 CLL, 5 other. All pts were given cyclosporine A, “short course” methotrexate with folinic acid and Thymoglobulin (Genzyme) (ATG) 4.5 mg/kg in divided doses over 3 consecutive days pretransplant finishing D0. Followup of survivors is 6–61 months, median 26. Incidence of acute GVHD (aGVHD) grade II–IV was 19±4%, grade III–IV 6±2% and chronic GVHD (cGVHD) 66±5% (at 2 years). Projected TRM is 4±2% at 100 days, 10±3% at 1 year and 14±4% at 5 years. For acute leukemia pts projected TRM at one year is 5±5% vs 12±5% with (n = 24) and without (n = 47) TBI respectively (p = ns). Four non-relapse deaths occurred before day 100 one each from myocardial infarct (MI), acute GVHD, candidiasis and VOD. Ten deaths between days 102–569 were related to aGVHD in one and complications in pts with cGVHD in 9 (occurring in 1 pt after 2nd BCT for graft failure) including 1 VZV, 3 other infection, 1 PE, 1 MI. Of 11 follicular NHL pts 3 died of cGVHD and its complications after 1st BCT compared with 5 of 129 others (p = 0.02). Twelve of the transplant-related deaths were in 76 pts ≥ 46 years old compared with 2 in 64 younger pts (TRM = 23±6%, vs 4±3%, p = 0.01). Of 55 relapsed pts 17 are alive, 8 of these are in remission after more treatment and/or onset of GVHD. Projected 5-year disease-free survival and survival respectively is 46±5% and 57±5% for all pts, 62±8% and 76±7% for SR, 51±7% and 59±9% for OTH, and 9±6% and 16±8% for HA. This study indicates that: 1) regimen related mortality is low in MRD BCT recipients given this regimen 2) cGVHD is the main cause of TRM 3) pts with follicular NHL seem to be comparatively susceptible to death related to cGVHD 4) addition of 400cGy TBI does not increase risk of TRM and 5) older age remains a risk factor for TRM.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.008
GPT teacher head0.231
Teacher spread0.223 · 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 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".

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Citations0
Published2004
Admission routes1
Has abstractyes

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