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Record W2329368040 · doi:10.6004/jnccn.2007.0016

Role of Bone Marrow Transplantation in the Disease Pathway of Myeloma

2007· review· en· W2329368040 on OpenAlexaff
Jean‐Luc Harousseau, Philippe Moreau

Bibliographic record

VenueJournal of the National Comprehensive Cancer Network · 2007
Typereview
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsHotel Dieu Hospital
FundersCelgene
KeywordsMedicineMultiple myelomaThalidomideBortezomibAutologous stem-cell transplantationLenalidomideOncologyTransplantationInternal medicineSurgery

Abstract

fetched live from OpenAlex

In multiple myeloma, autologous stem cell transplantation (ASCT) has been considered a standard of care in younger patients. The introduction of novel agents (i.e., thalidomide, lenalidomide, and bortezomib) may change this scenario. These agents can be administered before or after ASCT with the goal of increasing the complete remission (CR) rate and prolonging remission. For instance, thalidomide given as maintenance therapy after double ASCT increases CR rate, event-free survival (EFS), and overall survival. Moreover, combinations of conventional chemotherapy with novel agents such as thalidomide or bortezomib yield CR rates and EFS comparable to those achieved with standard single ASCT. Prospective randomized studies are needed to evaluate the impact of novel agents versus or in combination with ASCT. Myeloablative conditioning regimens before allogeneic stem cell transplantation are being replaced with concurrent autologous-transplantation and reduced-intensity conditioning allogeneic stem cell transplantation. Transplant-related mortality associated with this procedure is lower, but more follow-up is needed before definite conclusions can be drawn.

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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.088
GPT teacher head0.392
Teacher spread0.304 · 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
GenreReview

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

Citations3
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the National Comprehensive Cancer NetworkSame topicMultiple Myeloma Research and TreatmentsFrench-language works237,207