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Record W2132619403 · doi:10.1016/j.bbmt.2014.07.021

Hospital Length of Stay in the First 100 Days after Allogeneic Hematopoietic Cell Transplantation for Acute Leukemia in Remission: Comparison among Alternative Graft Sources

2014· article· en· W2132619403 on OpenAlexaff
Karen K. Ballen, Steven Joffe, Ruta Brazauskas, Zhiwei Wang, Mahmoud Aljurf, Görgün Akpek, Christopher E. Dandoy, Haydar Frangoul, César O. Freytes, Nandita Khera, Hillard M. Lazarus, Charles F. LeMaistre, Paulette Mehta, Susan K. Parsons, David Szwajcer, Celalettin Üstün, William A. Wood, Navneet S. Majhail

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2014
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsUniversity of ManitobaCancerCare Manitoba
FundersNational Institute of Allergy and Infectious DiseasesNational Cancer InstituteOffice of Naval ResearchNational Heart, Lung, and Blood InstituteCellGenixHospiraBiogen IdecGenentechBioMarin PharmaceuticalBlue Cross and Blue Shield AssociationCelgeneOsiris TherapeuticsU.S. Public Health ServiceTerumo BCTLeukemia and Lymphoma SocietyTexas InstrumentsNational Marrow Donor ProgramAABBWellPointAstellas Pharma USOtsuka America PharmaceuticalAmgenBe The Match FoundationOncology Nursing SocietySigma-Tau PharmaceuticalsMedical College of WisconsinBailey Family Foundation
KeywordsMedicineTransplantationUmbilical cordLeukemiaSurgeryAcute leukemiaCord bloodBone marrowHematopoietic stem cell transplantationPopulationHaematopoiesisInternal medicineGastroenterologyStem cellImmunology

Abstract

fetched live from OpenAlex

Several studies have shown comparable survival outcomes with different graft sources, but the relative resource needs of hematopoietic cell transplantation (HCT) by graft source have not been well studied. We compared total hospital length of stay in the first 100 days after HCT in 1577 patients with acute leukemia in remission who underwent HCT with an umbilical cord blood (UCB), matched unrelated donor (MUD), or mismatched unrelated donor (MMUD) graft between 2008 and 2011. To ensure a relatively homogenous study population, the analysis was limited to patients with acute myelogenous leukemia and acute lymphoblastic leukemia in first or second complete remission who underwent HCT in the United States. To account for early deaths, we compared the number of days alive and out of the hospital in the first 100 days post-transplantation. For children who received myeloablative conditioning, the median time alive and out of the hospital in the first 100 days was 50 days for single UCB recipients, 54 days for double UCB recipients, and 60 days for MUD bone marrow (BM) recipients. In multivariate analysis, use of UCB was significantly associated with fewer days alive and out of the hospital compared with MUD BM. For adults who received myeloablative conditioning, the median time alive and out of the hospital in first 100 days was 52 days for single UCB recipients, 55 days for double UCB recipients, 69 days for MUD BM recipients, 75 days for MUD peripheral blood stem cell (PBSC) recipients, 63 days for MMUD BM recipients, and 67 days for MMUD PBSC recipients. In multivariate analysis, UCB and MMUD BM recipients had fewer days alive and out of the hospital compared with recipients of other graft sources. For adults who received a reduced-intensity preparative regimen, the median time alive and out of the hospital during the first 100 days was 65 days for single UCB recipients, 63 days for double UCB recipients, 79 days for MUD PBSC recipients, and 79 days for MMUD PBSC recipients. Similar to the other 2 groups, receipt of UCB was associated with a fewer days alive and out of the hospital. In conclusion, length of stay in the first 100 days post-transplantation varies by graft source and is longer for UCB HCT recipients. These data provide insight into the resource needs of patients who undergo HCT with these various graft sources.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.315
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.009
GPT teacher head0.256
Teacher spread0.247 · 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.

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".

Quick stats

Citations46
Published2014
Admission routes1
Has abstractyes

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