Evidence map›Paper›PMID 37190132›Full record

ReviewCancers2023

Current Main Topics in Multiple Myeloma.

Sonia Morè, Laura Corvatta, Valentina Maria Manieri, Attilio Olivieri, Massimo Offidani

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Sonia MorèClinica di Ematologia Azienda Ospedaliero, Universitaria delle Marche, 60126 Ancona, Italy.
Laura CorvattaUnità Operativa Complessa di Medicina, Ospedale Profili, 60044 Fabriano, Italy.
Valentina Maria ManieriClinica di Ematologia Azienda Ospedaliero, Universitaria delle Marche, 60126 Ancona, Italy.
Attilio OlivieriClinica di Ematologia Azienda Ospedaliero, Universitaria delle Marche, 60126 Ancona, Italy.
Massimo OffidaniClinica di Ematologia Azienda Ospedaliero, Universitaria delle Marche, 60126 Ancona, Italy.ORCID 0000-0003-2749-7347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple Myeloma (MM) remains a difficult to treat disease mainly due to its biological heterogeneity, of which we are more and more knowledgeable thanks to the development of increasingly sensitive molecular methods that allow us to build better prognostication models. The biological diversity translates into a wide range of clinical outcomes from long-lasting remission in some patients to very early relapse in others. In NDMM transplant eligible (TE) patients, the incorporation of mAb as daratumumab in the induction regimens, followed by autologous stem cell transplantation (ASCT) and consolidation/maintenance therapy, has led to a significant improvement of PFS and OS.; however, this outcome remains poor in ultra-high risk MM or in those who did not achieve a minimal residual disease (MRD) negativity. Several trials are exploring cytogenetic risk-adapted and MRD-driven therapies in these patients. Similarly, quadruplets-containing daratumumab, particularly when administered as continuous therapies, have improved outcome of patients not eligible for autologous transplant (NTE). Patients who become refractory to conventional therapies have noticeably poor outcomes, making their treatment a difficult challenge in need of novel strategies. In this review, we will focus on the main points regarding risk stratification, treatment and monitoring of MM, highlighting the most recent evidence that could modify the management of this still incurable disease.

Indexed as

bispecific antibodiesCAR T cellminimal residual diseasemonoclonal antibodiesmultiple myeloma

Identifiers

PMID37190132
PMCPMC10136770

What OpenQuestion holds

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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.