Evidence map›Paper›PMID 39134526›Full record

ReviewBlood cancer journal2024

A roadmap towards improving outcomes in multiple myeloma.

Mohamad Mohty, Thierry Facon, Florent Malard, Jean-Luc Harousseau

Abstract readReview
In one paragraph

Review in Blood cancer journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Emerging roles of RNA mInternational journal of oncology · 2026
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. TeclistamabHaematologica · 2025
    Article
  16. Review
  17. Article
  18. Review
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mohamad MohtySorbonne Université, Centre de Recherche Saint-Antoine INSERM UMRs938, Service d'Hématologie Clinique et de Thérapie Cellulaire, Hôpital Saint Antoine, AP-HP, Paris, France. mohamad.mohty@inserm.fr.ORCID 0000-0002-7264-808X
Thierry FaconDepartment of Hematology, Lille University Hospital, Lille, France.
Florent MalardSorbonne Université, Centre de Recherche Saint-Antoine INSERM UMRs938, Service d'Hématologie Clinique et de Thérapie Cellulaire, Hôpital Saint Antoine, AP-HP, Paris, France.ORCID 0000-0002-3474-0002
Jean-Luc HarousseauCentre René Gauducheau, Institut de Cancérologie de l'Ouest, Nantes-St Herblain, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a chronic hematologic malignancy that remains incurable, because most patients eventually relapse or become refractory to current treatments. MM is a major health problem, with a globally increasing incidence. While, increase in the choice of MM treatment, including new immunotherapies (bispecific monoclonal antibodies and chimeric antigen receptor (CAR)-T cell therapy), may allow to further improve MM patients' outcomes, some non-therapy-related key issues may represent a pre-requisite towards improving MM outcomes in the next few years. This includes, the necessity of real-world evidence data, of a better definition of frailty, of a dynamic disease risk assessment, of a better definition of high-risk disease, broader accessibility to novel drugs, and to ensure diversity and representation of underrepresented groups. These key issues will be discussed in the current perspective review.

Indexed as

Multiple MyelomaHumansImmunotherapyImmunotherapy, AdoptiveTreatment Outcome

Identifiers

PMID39134526
PMCPMC11319725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.