Evidence map›Paper›PMID 39112458›Full record

ArticleBlood cancer journal2024

Measurable residual disease (MRD) dynamics in multiple myeloma and the influence of clonal diversity analyzed by artificial intelligence.

J Martinez-Lopez, N Lopez-Muñoz, A Chari, S Dorado, S Barrio, S Arora, A Kumar, A Chung, T Martin, J Wolf

Abstract read
In one paragraph

Article 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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. 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

10 authors.

J Martinez-LopezHematology Department, Hospital 12 de Octubre, Complutense University, CNIO, Madrid, Spain. jmarti01@ucm.es.ORCID 0000-0001-7908-0063
N Lopez-MuñozHematology Department, Hospital 12 de Octubre, Complutense University, CNIO, Madrid, Spain.ORCID 0000-0003-0090-6673
A ChariDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-0405-7480
S DoradoMedical Department, Altum Sequencing, Madrid, Spain.ORCID 0000-0002-4144-0315
S BarrioHematology Department, Hospital 12 de Octubre, Complutense University, CNIO, Madrid, Spain.
S AroraDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
A KumarDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
A ChungDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
T MartinDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-9133-9813
J WolfDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimal residual disease (MRD) assessment is a known surrogate marker for survival in multiple myeloma (MM). Here, we present a single institution's experience assessing MRD by NGS of Ig genes and the long-term impact of depth of response as well as clonal diversity on the clinical outcome of a large population of MM patients; 482 MM patients at the University of California, San Francisco (UCSF) diagnosed from 2008 to 2020 were analyzed retrospectively. MRD assessment was performed by NGS. PFS curves were plotted by the Kaplan-Meier method. In the newly diagnosed group, 119 of 304, achieved MRD negativity at the level of 10

Indexed as

Artificial IntelligenceMultiple MyelomaNeoplasm, ResidualAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID39112458
PMCPMC11306767

What OpenQuestion holds

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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.