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Record W2140486815 · doi:10.3109/10428194.2013.873537

Oligoclonal and monoclonal bands after single autologous stem cell transplant in patients with multiple myeloma: impact on overall survival and progression-free survival

2013· article· en· W2140486815 on OpenAlexaff
Victor H. Jimenez‐Zepeda, Donna Reece, Suzanne Trudel, Norman Franke, Andrew Winter, Christine Chen, Rodger E. Tiedemann, Vishal Kukreti

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2013
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineAutologous stem-cell transplantationMultiple myelomaInternal medicineOncologyMultivariate analysisOverall survivalProgression-free survivalclone (Java method)Stem cellMonoclonalMonoclonal antibodyImmunologyAntibodyBiology

Abstract

fetched live from OpenAlex

Abstract Recently, the occurrence of oligoclonal and monoclonal bands (OB/MB) unrelated to the original clone has been reported in patients with multiple myeloma who undergo autologous stem cell transplant (ASCT) and/or receive treatment with novel agents. The aim of our study was to assess the impact of OB/MB occurrence on overall (OS) and progression-free survival (PFS) for patients with MM undergoing single ASCT at our institution. All consecutive patients with documented MM undergoing single ASCT from January 2000 to December 2012 were evaluated. Ninety-nine patients (11.8%) developed OB/MB at day 100 post-ASCT (32.3%, OB and 67.7%, MB). Multivariate analysis identified the development of OBs/MBs as an independent favorable prognostic factor for OS and PFS (p = 0.008 and 0.012, respectively). In conclusion, the occurrence of OB/MB is an important prognostic factor in patients with MM who undergo ASCT. Its impact on clinical outcomes should be prospectively validated and its biological significance further elucidated.

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)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0010.000

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 head0.009
GPT teacher head0.231
Teacher spread0.223 · 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

Citations15
Published2013
Admission routes1
Has abstractyes

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