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Record W2060556025 · doi:10.1016/j.bbmt.2012.06.018

Late Effects in Hematopoietic Cell Transplant Recipients with Acquired Severe Aplastic Anemia: A Report from the Late Effects Working Committee of the Center for International Blood and Marrow Transplant Research

2012· article· en· W2060556025 on OpenAlexaff
David Buchbinder, Diane J. Nugent, Ruta Brazauskas, Zhiwei Wang, Mahmoud Aljurf, Mitchell S. Cairo, Robert Chow, Christine Duncan, Lamis Eldjerou, Vikas Gupta, Gregory A. Hale, Joerg Halter, Brandon Hayes‐Lattin, Jack W. Hsu, David A. Jacobsohn, Rammurti T. Kamble, Kimberly A. Kasow, Hillard M. Lazarus, Paulette Mehta, Kasiani C. Myers, Susan K. Parsons, Jakob Passweg, Joseph Pidala, Vijay Reddy, Carmen M. Sales-Bonfim, Bipin N. Savani, Adriana Seber, Mohamed L. Sorror, Amir Steinberg, William A. Wood, Donna A. Wall, Jacek Winiarski, Lolie C. Yu, Navneet S. Majhail

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2012
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsUniversity of ManitobaCancerCare ManitobaPrincess Margaret Cancer Centre
FundersNational Institute of Allergy and Infectious DiseasesNational Cancer InstituteOffice of Naval ResearchNational Heart, Lung, and Blood InstituteTakeda OncologyTerumo BCTHealth Resources and Services AdministrationSwedish Orphan BiovitrumMiltenyi BiotecGenentechSeattle GeneticsCellGenixKiadis PharmaTherakosSigma-Tau PharmaceuticalsMedical College of WisconsinTarix PharmaceuticalsStemCyteBlue Cross and Blue Shield AssociationOtsuka AmericaNational Center for Advancing Translational SciencesHistoGeneticsTeva Pharmaceutical IndustriesWellPointOsiris TherapeuticsCelgeneAmgenAriad PharmaceuticalsGlaxoSmithKlineLeukemia and Lymphoma SocietyBe The Match FoundationU.S. Department of Health and Human ServicesSanofiNational Marrow Donor Program
KeywordsMedicineCumulative incidenceAplastic anemiaInternal medicineIncidence (geometry)TransplantationConfidence intervalAnemiaHematopoietic stem cell transplantationHematopoietic cellPopulationCohortSurgeryGastroenterologyBone marrowHaematopoiesisStem cell

Abstract

fetched live from OpenAlex

With improvements in hematopoietic cell transplant (HCT) outcomes for severe aplastic anemia (SAA), there is a growing population of SAA survivors after HCT. However, there is a paucity of information regarding late effects that occur after HCT in SAA survivors. This study describes the malignant and nonmalignant late effects in survivors with SAA after HCT. A descriptive analysis was conducted of 1718 patients post-HCT for acquired SAA between 1995 and 2006 reported to the Center for International Blood and Marrow Transplant Research (CIBMTR). The prevalence and cumulative incidence estimates of late effects are reported for 1-year HCT survivors with SAA. Of the HCT recipients, 1176 (68.5%) and 542 (31.5%) patients underwent a matched sibling donor (MSD) or unrelated donor (URD) HCT, respectively. The median age at the time of HCT was 20 years. The median interval from diagnosis to transplantation was 3 months for MSD HCT and 14 months for URD HCT. The median follow-up was 70 months and 67 months for MSD and URD HCT survivors, respectively. Overall survival at 1 year, 2 years, and 5 years for the entire cohort was 76% (95% confidence interval [CI]: 74-78), 73% (95% CI: 71-75), and 70% (95% CI: 68-72). Among 1-year survivors of MSD HCT, 6% had 1 late effect and 1% had multiple late effects. For 1-year survivors of URD HCT, 13% had 1 late effect and 2% had multiple late effects. Among survivors of MSD HCT, the cumulative incidence estimates of developing late effects were all <3% and did not increase over time. In contrast, for recipients of URD HCT, the cumulative incidence of developing several late effects exceeded 3% by 5 years: gonadal dysfunction 10.5% (95% CI: 7.3-14.3), growth disturbance 7.2% (95% CI: 4.4-10.7), avascular necrosis 6.3% (95% CI: 3.6-9.7), hypothyroidism 5.5% (95% CI: 2.8-9.0), and cataracts 5.1% (95% CI: 2.9-8.0). Our results indicated that all patients undergoing HCT for SAA remain at risk for late effects, must be counseled about, and should be monitored for late effects for the remainder of their lives.

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 score0.110
Threshold uncertainty score0.667

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 head0.018
GPT teacher head0.266
Teacher spread0.248 · 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

Citations38
Published2012
Admission routes1
Has abstractyes

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