Evidence map›Paper›PMID 34398972›Full record

ReviewInternational journal of cancer2021

Epidemiology, genetics and treatment of multiple myeloma and precursor diseases.

Kari Hemminki, Asta Försti, Richard Houlston, Amit Sud

Abstract readReview
In one paragraph

Review in International journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

  1. Pooled it
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  19. The numerous facets of 1q21Oncology letters · 2024
    Review
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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.

Kari HemminkiBiomedical Center, Faculty of Medicine, Charles University in Pilsen, Pilsen, Czech Republic.ORCID 0000-0002-2769-3316
Asta FörstiHopp Children's Cancer Center (KiTZ), Heidelberg, Germany.
Richard HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Amit SudDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID 0000-0002-6133-0164

Funding

Cancer Research UK (C1298/A8362) C1298/A8362
6 · The paper itself

Abstract

Multiple myeloma (MM) is a hematological malignancy caused by the clonal expansion of plasma cells. The incidence of MM worldwide is increasing with greater than 140 000 people being diagnosed with MM per year. Whereas 5-year survival after a diagnosis of MM has improved from 28% in 1975 to 56% in 2012, the disease remains essentially incurable. In this review, we summarize our current understanding of MM including its epidemiology, genetics and biology. We will also provide an overview of MM management that has led to improvements in survival, including recent changes to diagnosis and therapies. Areas of unmet need include the management of patients with high-risk MM, those with reduced performance status and those refractory to standard therapies. Ongoing research into the biology and early detection of MM as well as the development of novel therapies, such as immunotherapies, has the potential to influence MM practice in the future.

Indexed as

Biomarkers, TumorCyclin D1Exosome Multienzyme Ribonuclease ComplexGenetic Predisposition to DiseaseHistone DemethylasesHumansImmunotherapyMultiple MyelomaMutationPlasma CellsRepressor ProteinsRisk FactorsSurvival RateTranscriptional Elongation FactorsBiomarkers, TumorCCND1 protein, humanCDCA7L protein, humanCyclin D1DIS3 protein, humanELL2 protein, humanExosome Multienzyme Ribonuclease ComplexHistone DemethylasesKDM1A protein, humanRepressor ProteinsTranscriptional Elongation Factorsclinical presentationplasma cell diseaserisks factorssurvivaltreatment

Identifiers

PMID34398972
PMCPMC11497332

What OpenQuestion holds

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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.