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Record W3022930418 · doi:10.1200/jco.19.00396

Composite GRFS and CRFS Outcomes After Adult Alternative Donor HCT

2020· article· en· W3022930418 on OpenAlexaff
Rohtesh S. Mehta, Shernan G. Holtan, Tao Wang, Michael Hemmer, Stephen R. Spellman, Mukta Arora, Daniel R. Couriel, Amin M. Alousi, Joseph Pidala, Hisham Abdel‐Azim, Vaibhav Agrawal, Ibrahim Ahmed, A. Samer Al‐Homsi, Mahmoud Aljurf, Joseph H. Antin, Medhat Askar, Jeffery J. Auletta, Vijaya Raj Bhatt, Lynette Chee, Saurabh Chhabra, Andrew Daly, Zachariah DeFilipp, James Gajewski, Robert Peter Gale, Usama Gergis, Peiman Hematti, Gerhard Hildebrandt, William J. Hogan, Yoshihiro Inamoto, Rodrigo Martino, Navneet S. Majhail, David I. Marks, Taiga Nishihori, Richard F. Olsson, Attaphol Pawarode, Miguel Ángel Díaz, Tim Prestidge, Hemalatha G. Rangarajan, Olle Ringdén, Ayman Saad, Bipin N. Savani, Hélène Schoemans, Sachiko Seo, Kirk R. Schultz, Melhem Solh, Thomas R. Spitzer, Jan Storek, Takanori Teshima, Leo F. Verdonck, Baldeep Wirk, Jean A. Yared, Jean‐Yves Cahn, Daniel J. Weisdorf

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsUniversity of CalgaryBC Children's HospitalUniversity of British Columbia
FundersNational Cancer InstituteNational Heart, Lung, and Blood Institute
KeywordsMedicineCRFSHazard ratioInternal medicineGastroenterologyHematopoietic stem cell transplantationGraft-versus-host diseaseOncologyTransplantationImmunologyConfidence intervalConditional random field

Abstract

fetched live from OpenAlex

PURPOSE There is no consensus on the best choice of an alternative donor (umbilical cord blood [UCB], haploidentical, one-antigen mismatched [7/8]–bone marrow [BM], or 7/8-peripheral blood [PB]) for hematopoietic cell transplantation (HCT) for patients lacking an HLA-matched related or unrelated donor. METHODS We report composite end points of graft-versus-host disease (GVHD)–free relapse-free survival (GRFS) and chronic GVHD (cGVHD)–free relapse-free survival (CRFS) in 2,198 patients who underwent UCB (n = 838), haploidentical (n = 159), 7/8-BM (n = 241), or 7/8-PB (n = 960) HCT. All groups were divided by myeloablative conditioning (MAC) intensity or reduced intensity conditioning (RIC), except haploidentical group in which most received RIC. To account for multiple testing, P < .0071 in multivariable analysis and P < .00025 in direct pairwise comparisons were considered statistically significant. RESULTS In multivariable analysis, haploidentical group had the best GRFS, CRFS, and overall survival (OS). In the direct pairwise comparison of other groups, among those who received MAC, there was no difference in GRFS or CRFS among UCB, 7/8-BM, and 7/8-PB with serotherapy (alemtuzumab or antithymocyte globulin) groups. In contrast, the 7/8-PB without serotherapy group had significantly inferior GRFS, higher cGVHD, and a trend toward worse CRFS (hazard ratio [HR], 1.38; 95% CI, 1.13 to 1.69; P = .002) than the 7/8-BM group and higher cGVHD and trend toward inferior CRFS (HR, 1.36; 95% CI, 1.14 to 1.63; P = .0006) than the UCB group. Among patients with RIC, all groups had significantly inferior GRFS and CRFS compared with the haploidentical group. CONCLUSION Recognizing the limitations of a registry retrospective analysis and the possibility of center selection bias in choosing donors, our data support the use of UCB, 7/8-BM, or 7/8-PB (with serotherapy) grafts for patients undergoing MAC HCT and haploidentical grafts for patients undergoing RIC HCT. The haploidentical group had the best GRFS, CRFS, and OS of all groups.

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)0.001
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 score0.023
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.101
GPT teacher head0.446
Teacher spread0.345 · 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

Citations49
Published2020
Admission routes1
Has abstractyes

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