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Record W4385074099 · doi:10.1016/j.jtct.2023.07.013

Racial and Socioeconomic Disparities in Long-Term Outcomes in ≥1 Year Allogeneic Hematopoietic Cell Transplantation Survivors: A CIBMTR Analysis

2023· article· en· W4385074099 on OpenAlexaff
Brandon Blue, Ruta Brazauskas, Karen Chen, Jinalben Patel, Amer M. Zeidan, Amir Steinberg, Karen K. Ballen, Janette Kwok, Seth J. Rotz, Miguel Ángel Díaz, Amar H. Kelkar, Siddhartha Ganguly, John R. Wingard, Deepesh Lad, Akshay Sharma, Sherif M. Badawy, Hillard M. Lazarus, Hasan Hashem, David Szwajcer, Jennifer M. Knight, Neel S. Bhatt, Kristin Page, Sara Beattie, Yasuyuki Arai, Hongtao Liu, Staci D. Arnold, César O. Freytes, Muhammad Bilal Abid, Amer Beitinjaneh, Nosha Farhadfar, Baldeep Wirk, Lena E. Winestone, Vaibhav Agrawal, Jaime M. Preussler, Sachiko Seo, Shahrukh K. Hashmi, Leslie Lehmann, William A. Wood, Hemalatha G. Rangarajan, Wael Saber, Navneet S. Majhail

Bibliographic record

VenueTransplantation and Cellular Therapy · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsUniversity of ManitobaCancerCare Manitoba
FundersNational Institute of Allergy and Infectious DiseasesOffice of Naval ResearchPharmacyclicsSanofi GenzymeTakeda OncologyGenentechHealth Resources and Services AdministrationMorphoSysAdaptive BiotechnologiesAstellas Pharmabluebird bioKiadis PharmaOmeros CorporationPfizerIncyteMedacJazz PharmaceuticalsStemCyteBristol-Myers SquibbCSL BehringKaryopharm TherapeuticsCareDxActinium PharmaceuticalsDaiichi Sankyo EuropeNational Cancer InstituteGilead SciencesNational Heart, Lung, and Blood InstituteNovartis Pharmaceuticals CorporationAmgenAccentureSanofiGlaxoSmithKlineSeagenAstellas Pharma US
KeywordsMedicineTransplantationPopulationDemographySocioeconomic statusHematopoietic stem cell transplantationEthnic groupHematopoietic cellCohortGerontologyInternal medicineHaematopoiesisStem cellEnvironmental health

Abstract

fetched live from OpenAlex

Racial/ethnic minorities have demonstrated worse survival after allogeneic hematopoietic cell transplantation (HCT) compared to whites. Whether the racial disparity in HCT outcomes persists in long-term survivors and possibly may be even exacerbated in this population, which frequently transitions back from the transplant center to their local healthcare providers, is unknown. In the current study, we compared long-term outcomes among 1-year allogeneic HCT survivors by race/ethnicity and socioeconomic status (SES). The Center for International Blood and Marrow Transplant Research database was used to identify 5473 patients with acute myeloid leukemia, acute lymphocytic leukemia, chronic myeloid leukemia, or myelodysplastic syndromes who underwent their first allogeneic HCT between 2007 and 2017 and were alive and in remission for at least 1 year after transplantation. The study was restricted to patients who underwent HCT in the United States. SES was defined using patient neighborhood poverty level estimated from the recipient's ZIP code of residence; a ZIP code with ≥20% of persons below the federal poverty level was considered a high poverty area. The primary outcome was to evaluate the associations of race/ethnicity and neighborhood poverty level with overall survival (OS), relapse, and nonrelapse mortality (NRM). Cox regression models were used to determine associations of ethnicity/race and SES with OS, relapse, and NRM. Standardized mortality ratios were calculated to compare mortality rates of the study patients and their general population peers matched on race/ethnicity, age, and sex. The study cohort was predominately non-Hispanic white (n = 4385) and also included non-Hispanic black (n = 338), Hispanic (n = 516), and Asian (n = 234) patients. Overall, 729 patients (13%) resided in high-poverty areas. Significantly larger proportions of non-Hispanic black (37%) and Hispanic (26%) patients lived in high-poverty areas compared to non-Hispanic whites (10%) and Asians (10%) (P < .01). Multivariable analysis revealed no significant associations between OS, PFS, relapse, or NRM and race/ethnicity or poverty level when adjusted for patient-, disease- and transplantation-related covariates. Our retrospective cohort registry study shows that among adult allogeneic HCT recipients who survived at least 1 year in remission, there were no associations between race/ethnicity, neighborhood poverty level, and long-term outcomes.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.002
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.284
Teacher spread0.267 · 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

Citations10
Published2023
Admission routes1
Has abstractno

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