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Record W4415521520 · doi:10.1038/s41408-025-01387-6

35 years of academic trials focusing on high-dose therapy and autologous stem cell transplantation: the Intergroupe Francophone du Myélome (IFM) experience

2025· review· en· W4415521520 on OpenAlexaff
Philippe Moreau, Cyrille Hulin, Alexis Talbot, Hélène Demarquette, Léo Caillot, Thomas Chalopin, Arthur Bobin, Xavier Leleu, Lionel Karlin, Denis Caillot, Cécile Sonntag, Pierre Feugier, Murielle Roussel, Romain Gounot, Margaret Macro, Mohamad Mohty, Laurent Garderet, Frédérique Orsini-Piocelle, Laure Vincent, Nathalie Meuleman, Jean Fontan, Lydia Montes, Marie-Christiane Vekemans, Martine Escoffre‐Barbe, Jean‐Richard Eveillard, Jean‐Marc Schiano de Colella, Jérôme Lambert, Jean‐Yves Mary, Jean‐Paul Fermand, Bertrand Arnulf, Jill Corre, Hervé Avet‐Loiseau, Thierry Façon, Jean‐Luc Harousseau, Cyrille Touzeau, Aurore Perrot

Bibliographic record

VenueBlood Cancer Journal · 2025
Typereview
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsLenalidomideMultiple myelomaFrenchAutologous stem-cell transplantationClinical trialTransplantationStem cellStandard of care

Abstract

fetched live from OpenAlex

Frontline high-dose therapy (HDT) is, in 2025, the standard of care for patients with multiple myeloma (MM) who are eligible for autologous stem cell transplantation (ASCT). Prior to high-dose melphalan, induction therapy with quadruplet combinations is also proposed systematically when possible. Lenalidomide maintenance until progression is also recommended per international guidelines. This strategy has been developed over recent decades, based on results of phase 3 trials designed and conducted by different academic groups. With these therapeutic advances, the median overall survival (OS) for patients with MM has increased from 5 years in the 1990s, to over 15 years at present. Here, we present the contribution of the French myeloma cooperative group Intergroupe Francophone du Myélome (IFM) to these advances in the newly diagnosed transplant-eligible (NDTE) setting.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.092
GPT teacher head0.396
Teacher spread0.305 · 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 designOther design
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

Citations2
Published2025
Admission routes1
Has abstractyes

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