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Record W3089211657 · doi:10.1002/cncr.33171

Age no bar: A CIBMTR analysis of elderly patients undergoing autologous hematopoietic cell transplantation for multiple myeloma

2020· article· en· W3089211657 on OpenAlexaff
Pashna N. Munshi, David H. Vesole, Artur Jurczyszyn, Jan Maciej Zaucha, Andrew St. Martin, Omar Dávila, Vaibhav Agrawal, Sherif M. Badawy, Minoo Battiwalla, Saurabh Chhabra, Edward A. Copelan, Mohamed A. Kharfan‐Dabaja, Nosha Farhadfar, Siddhartha Ganguly, Shahrukh K. Hashmi, Maxwell M. Krem, Hillard M. Lazarus, Ehsan Malek, Kenneth R. Meehan, Hemant S. Murthy, Taiga Nishihori, Rebecca L. Olin, Richard F. Olsson, Jeffrey Schriber, Sachiko Seo, Gunjan L. Shah, Melhem Solh, Jason Tay, Shaji Kumar, Muzaffar H. Qazilbash, Nina Shah, Parameswaran Hari, Anita D’Souza

Bibliographic record

VenueCancer · 2020
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of Calgary
FundersJanssen BiotechNational Institute of Allergy and Infectious DiseasesOffice of Naval ResearchNational Heart, Lung, and Blood InstituteDaiichi Sankyo CompanyLegend BiotechJanssen PharmaceuticalsSanofi GenzymeDaiichi Sankyo EuropeTakeda OncologyKite PharmaAdaptive BiotechnologiesHealth Resources and Services AdministrationCytoSen TherapeuticsAtara BiotherapeuticsDaiichi-SankyoBiomedical Advanced Research and Development AuthorityAstellas PharmaSwedish Orphan BiovitrumGlaxoSmithKlineKiadis PharmaMiltenyi BiotecOmeros Corporationbluebird bioActinium PharmaceuticalsSeattle GeneticsTakeda Pharmaceuticals North AmericaRegeneron PharmaceuticalsChimerixMedical College of WisconsinMerck Sharp and DohmeNovartisJohnson and JohnsonMillennium Challenge CorporationCelgeneMedacJazz PharmaceuticalsNational Marrow Donor ProgramNational Cancer InstituteGenzymeTerumo BCTSt. Baldrick's FoundationBoston Children's HospitalMerckKyowa Hakko KirinSanofiCSL BehringBristol-Myers SquibbAstraZenecaAbbVieAstellas Pharma USAmgenNovartis Pharmaceuticals CorporationDana-Farber Cancer InstituteIncytePfizerBe The Match FoundationHistoGenetics
KeywordsMedicineHazard ratioMultiple myelomaInternal medicineConfidence intervalTransplantationHematopoietic stem cell transplantationMelphalanProportional hazards modelSurgeryGastroenterologyOncology

Abstract

fetched live from OpenAlex

Background Upfront autologous hematopoietic stem cell transplantation (AHCT) remains an important therapy in the management of patients with multiple myeloma (MM), a disease of older adults. Methods The authors investigated the outcomes of AHCT in patients with MM who were aged ≥70 years. The Center for International Blood and Marrow Transplant Research (CIBMTR) database registered 15,999 patients with MM in the United States within 12 months of diagnosis during 2013 through 2017; a total of 2092 patients were aged ≥70 years. Nonrecurrence mortality (NRM), disease recurrence and/or progression (relapse; REL), progression‐free survival (PFS), and overall survival (OS) were modeled using Cox proportional hazards models with age at transplantation as the main effect. Because of the large sample size, a P value <.01 was considered to be statistically significant a priori. Results An increase in AHCT was noted in 2017 (28%) compared with 2013 (15%) among patients aged ≥70 years. Although approximately 82% of patients received melphalan (Mel) at a dose of 200 mg/m 2 overall, 58% of the patients aged ≥70 years received Mel at a dose of 140 mg/m 2 . On multivariate analysis, patients aged ≥70 years demonstrated no difference with regard to NRM (hazard ratio [HR] 1.3; 99% confidence interval [99% CI], 1‐1.7 [ P = .06]), REL (HR, 1.03; 99% CI, 0.9‐1.1 [ P = 0.6]), PFS (HR, 1.06; 99% CI, 1‐1.2 [ P = 0.2]), and OS (HR, 1.2; 99% CI, 1‐1.4 [ P = .02]) compared with the reference group (those aged 60‐69 years). In patients aged ≥70 years, Mel administered at a dose of 140 mg/m 2 was found to be associated with worse outcomes compared with Mel administered at a dose of 200 mg/m 2 , including day 100 NRM (1% [95% CI, 1%‐2%] vs 0% [95% CI, 0%‐1%]; P = .003]), 2‐year PFS (64% [95% CI, 60%‐67%] vs 69% [95% CI, 66%‐73%]; P = .003), and 2‐year OS (85% [95% CI, 82%‐87%] vs 89% [95% CI, 86%‐91%]; P = .01]), likely representing frailty. Conclusions The results of the current study demonstrated that AHCT remains an effective consolidation therapy among patients with MM across all age 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)0.000
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 score0.023
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.028
GPT teacher head0.302
Teacher spread0.274 · 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

Citations77
Published2020
Admission routes1
Has abstractyes

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