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Record W2759594404 · doi:10.1016/j.bbmt.2017.09.013

Donor Experiences of Second Marrow or Peripheral Blood Stem Cell Collection Mirror the First, but CD34+ Yields Are Less

2017· article· en· W2759594404 on OpenAlexaff
David F. Stroncek, Bronwen E. Shaw, Brent R. Logan, Deidre M. Kiefer, Bipin N. Savani, Paolo Anderlini, Christopher Bredeson, Peiman Hematti, Siddhartha Ganguly, Miguel Ángel Díaz, Hisham Abdel‐Azim, Ibrahim Ahmed, Dipnarine Maharaj, Matthew D. Seftel, Amer Beitinjaneh, Sachiko Seo, Jean A. Yared, Joerg Halter, Paul V. O’Donnell, Gregory A. Hale, Zachariah DeFilipp, Hillard Lazarus, Jane L. Liesveld, Zheng Zhou, Pashna N. Munshi, Richard F. Olsson, Kimberly A. Kasow, Jeff Szer, Galen E. Switzer, Pintip Chitphakdithai, Nirali N. Shah, Dennis L. Confer, Michael A. Pulsipher

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2017
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsCancerCare ManitobaOttawa HospitalUniversity of Ottawa
FundersGamida CellOffice of Naval ResearchHealth Resources and Services AdministrationOtsuka PharmaceuticalJuno TherapeuticsAstellas PharmaMedImmuneIncyteJanssen Scientific AffairsNational Institutes of HealthTelomere Diagnosticsbluebird bioAtara BiotherapeuticsSunesisSeattle GeneticsNational Heart, Lung, and Blood InstituteShireNovartis Pharmaceuticals CorporationChimerixMedical College of WisconsinTakeda OncologyUniversity of MinnesotaKaryopharm TherapeuticsU.S. NavyCelgeneMerckSpectrum PharmaceuticalsCerus CorporationBristol-Myers SquibbNational Marrow Donor ProgramSt. Baldrick's FoundationNIH Clinical CenterNational Institute of Allergy and Infectious DiseasesAngiocrine BioscienceFred Hutchinson Cancer Research CenterAstellas Pharma USSanofi GenzymePatient-Centered Outcomes Research InstituteMedacJazz PharmaceuticalsBe The Match FoundationAmgenActinium PharmaceuticalsNational Cancer InstituteGilead SciencesU.S. Department of Defense
KeywordsDonationMedicineBone marrowCD34Stem cellHaematopoiesisSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Little is known about the experiences of individuals donating peripheral blood stem cells (PBSCs) or marrow for a second time. To study this, unrelated donors making a second donation through the National Marrow Donor Program between 2004 and 2013 were evaluated. Experiences of second-time donors giving marrow (n = 118: first donation was PBSC in 76 and marrow in 42) were compared with those making only 1 marrow donation (n = 5829). Experiences of second-time donors giving PBSCs (n = 602) (first donation was PBSCs in 362; marrow in 240) were compared to first-time PBSC donors (n = 16,095). For donors giving a second PBSC or marrow donation there were no significant differences in maximum skeletal pain, maximum symptoms measured by an established modified toxicity criteria, and recovery time compared with those who donated only once. Notably, the yield of marrow nucleated cells and PBSC CD34 + cells with second donations was less. As previously noted with single first-time donations, female (PBSCs and marrow) and obese donors (PBSCs) had higher skeletal pain and/or toxicity with a second donation. PBSC donors who experienced high levels of pain or toxicity with the first donation also experienced high levels of these symptoms with their second donation and slower recovery times. In conclusion, for most donors second donation experiences were similar to first donation experiences, but CD34 + yields were less. Knowledge of the donor's first experience and stem cell yields may help centers decide whether second donations are appropriate and institute measures to improve donor experiences.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.027
GPT teacher head0.258
Teacher spread0.231 · 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

Citations7
Published2017
Admission routes1
Has abstractyes

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