Evidence map›Paper›PMID 40517540›Full record

ReviewHematological oncology2025

Multiple Myeloma Unpacked.

Francesca Gay, Edoardo Marchetti, Giuseppe Bertuglia

Abstract readReview
In one paragraph

Review in Hematological oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Anti-BCMA CAR-NK Cells Reveal Enhanced Cytolytic and Secretory Responses Against Myeloma Cells.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
    Article
  3. Review
  4. Identification of exhausted CD8Translational cancer research · 2026
    Article
  5. Influence ofBiomedicines · 2026
    Article
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. 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

3 authors.

Francesca GayDivision of Hematology, AOU Città della Salute e della Scienza, Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy.
Edoardo MarchettiDivision of Hematology, AOU Città della Salute e della Scienza, Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy.
Giuseppe BertugliaDivision of Hematology, AOU Città della Salute e della Scienza, Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a hematologic malignancy characterized by the clonal proliferation of plasma cells in the bone marrow. The current treatment landscape for multiple myeloma involves a combination of proteasome inhibitors, immunomodulatory drugs, monoclonal antibodies, and autologous stem cell transplantation, which have significantly improved survival outcomes in recent years. However, the disease remains challenging, particularly in relapsed and refractory cases. Ongoing clinical trials are evaluating new therapeutic options, including chimeric antigen receptor T cell therapy, bispecific antibodies, antibody drug conjugate and novel agents like Cereblon E3 Ligase Modulatory Drugs. This review summarizes the key diagnostic criteria, prognostic features, response assessment for MM and highlights the current treatment landscape.

Indexed as

Multiple MyelomaHumansPrognosisimmunotherapiesmyelomaresponse assessmentstaging

Identifiers

PMID40517540
PMCPMC12167648

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.