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Record W2039431106 · doi:10.1080/10428190400015022

Allogeneic stem cell transplantation for mantle cell lymphoma--does it deserve a better look?

2004· article· en· W2039431106 on OpenAlexaff
Joshua Rifkind, Peter Mollee, Hans A. Messner, Jeffrey H. Lipton

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2004
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMantle cell lymphomaMedicineTransplantationLymphomaStem cellPopulationAutologous stem-cell transplantationInternal medicineSurgeryOncologyBiology

Abstract

fetched live from OpenAlex

Mantle cell lymphoma is a subtype of non-Hodgkin's lymphoma. Mantle cell is generally considered incurable with a median overall survival of about 3 years. It is most common in 50 - 70 year old individuals and for this reason transplantation is not a common therapeutic option. Autologous stem cell transplantation does not appear to improve survival with most patients relapsing after transplant and no disease-free plateau. We present 6 mantle cell patients that had a mean of 3 different types of therapy prior to allogeneic transplantation. Allogeneic transplantation is associated with substantial mortality post-transplant from acute toxicity and GVHD. Despite the extensive amount of pretransplant therapy in our patient population, there was no transplant related mortality. All patients are alive and in remission a median of 4.3 plus years after transplantation. Survival from the date of diagnosis is a median of 6.5 plus years. The results of this series would suggest that in a selected group of patients allogeneic stem cell transplantation may be the treatment of choice for lymphomas not curable by standard therapy or autotransplant.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations9
Published2004
Admission routes1
Has abstractyes

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