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Record W3195493284 · doi:10.1016/j.jtct.2021.08.010

Allogeneic Transplantation to Treat Therapy-Related Myelodysplastic Syndrome and Acute Myelogenous Leukemia in Adults

2021· article· en· W3195493284 on OpenAlexafffund
Leland Metheny, Natalie S. Callander, Aric C. Hall, Mei-Jei Zhang, Khalid Bo-Subait, Hailin Wang, Vaibhav Agrawal, A. Samer Al‐Homsi, Amer Assal, Ulrike Bacher, Amer Beitinjaneh, Nelli Bejanyan, Vijaya Raj Bhatt, Christopher Bredeson, Michael Byrne, Mitchell S. Cairo, Jan Černý, Zachariah DeFilipp, Miguel Ángel Díaz, César O. Freytes, Siddhartha Ganguly, Michael R. Grunwald, Shahrukh K. Hashmi, Gerhard Hildebrandt, Yoshihiro Inamoto, Christopher G. Kanakry, Mohamed A. Kharfan‐Dabaja, Hillard M. Lazarus, Jong Wook Lee, Sunita Nathan, Taiga Nishihori, Richard F. Olsson, David A. Rizzieri, Bipin N. Savani, Mary Lynn Savoie, Sachiko Seo, Marjolein van der Poel, Leo F. Verdonck, John L. Wagner, Jean A. Yared, Christopher S. Hourigan, Partow Kebriaei, Mark R. Litzow, Brenda M. Sandmaier, Wael Saber, Daniel J. Weisdorf, Marcos de Lima

Bibliographic record

VenueTransplantation and Cellular Therapy · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of CalgaryOttawa Hospital
FundersJanssen PharmaceuticalsJanssen BiotechJanssen Research and DevelopmentNational Institute of Allergy and Infectious DiseasesOffice of Naval ResearchPatient-Centered Outcomes Research InstituteSanofi GenzymeCelgeneU.S. NavyHealth Resources and Services AdministrationCytoSen TherapeuticsKyowa Hakko KirinDaiichi-SankyoJanssen Scientific AffairsCSL BehringBC Children's HospitalNational Institutes of HealthSeattle GeneticsNational Heart, Lung, and Blood InstituteShireBristol-Myers SquibbUniversity of Wisconsin-MadisonMayo ClinicGovernment of South AustraliaPfizerGlaxoSmithKlineU.S. Department of DefenseBoston Children's HospitalNational Cancer InstituteGilead Sciences
KeywordsMedicineInternal medicineMyeloid leukemiaRegimenTransplantationMyelodysplastic syndromesLeukemiaHematopoietic stem cell transplantationOncologySurgeryBone marrow

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

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)0.0020.000

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 head0.012
GPT teacher head0.251
Teacher spread0.239 · 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".

Quick stats

Citations29
Published2021
Admission routes2
Has abstractno

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Same venueTransplantation and Cellular TherapySame topicAcute Myeloid Leukemia ResearchFrench-language works237,207