Evidence map›Paper›PMID 32949373›Full record

ArticleInternational journal of hematology2021

Clinical and prognostic significance of t(4;14) translocation in multiple myeloma in the era of novel agents.

Shuku Sato, Wataru Kamata, Satomi Okada, Yotaro Tamai

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Article in International journal of hematology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Shuku SatoDivision of Hematology, Shonan Kamakura General Hospital, 1370-1 Okamoto, Kamakura, Kanagawa, 247-0072, Japan. ocukuhs719@gmail.com.ORCID http://orcid.org/0000-0003-1025-1201
Wataru KamataDivision of Hematology, Shonan Kamakura General Hospital, 1370-1 Okamoto, Kamakura, Kanagawa, 247-0072, Japan.
Satomi OkadaDivision of Hematology, Shonan Kamakura General Hospital, 1370-1 Okamoto, Kamakura, Kanagawa, 247-0072, Japan.
Yotaro TamaiDivision of Hematology, Shonan Kamakura General Hospital, 1370-1 Okamoto, Kamakura, Kanagawa, 247-0072, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Translocation t(4;14) is an independent prognostic factor for adverse outcome in multiple myeloma (MM). However, reports concerning the therapeutic effects of novel drugs on t(4;14) MM are few. We retrospectively investigated the clinical and prognostic significance of symptomatic MM cases with t(4;14) treated with novel therapies. Ninety-three patients (IgG, 56; IgA, 23; BjP, 14) newly diagnosed with MM were included (median age, 71 years; median observation period, 27.8 months). t(4;14) MM was diagnosed in 17 (IgG, 7; IgA, 9; BjP, 1) patients (18%). An association between t(4;14) and the IgA isotype was confirmed (p = 0.02). Overall survival (OS) at 3 years was lower in the t(4;14) patients than without t(4;14) group (81.2% vs 66.7%, p = 0.04). Multivariate analysis showed that t(4;14) was an independent predictor of OS (hazard ratio [HR], 7.58; 95.0% confidence interval [CI], 1.43-39.9; p = 0.0017). The ORR after autologous blood stem cell transplantation (ASCT) did not differ with or without t(4;14); progression-free survival tended to be prolonged in the group without t(4;14) (p = 0.088). Thus, even in the era of novel drugs, t(4;14) MM still has a poor prognosis, and triplet consolidation therapy should be continued.

Indexed as

Chromosomes, Human, Pair 14Chromosomes, Human, Pair 4Translocation, GeneticAgedAged, 80 and overBiomarkers, TumorCombined Modality TherapyDisease ManagementFemaleGenetic Predisposition to DiseaseHumansKaplan-Meier EstimateMaleMiddle AgedMultiple MyelomaPrognosisBiomarkers, TumorDaratumumabMultiple myelomaNovel drugsOverall response rateOverall survivalPrognosist(4;14) translocation

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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.