Evidence map›Paper›PMID 29200420›Full record

ReviewClinical advances in hematology & oncology : H&O2017

The effect of novel therapies in high-molecular-risk multiple myeloma.

Guido Lancman, Douglas Tremblay, Kevin Barley, Bart Barlogie, Hearn Jay Cho, Sundar Jagannath, Deepu Madduri, Erin Moshier, Samir Parekh, Ajai Chari

Abstract readReview
In one paragraph

Review in Clinical advances in hematology & oncology : H&O, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
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  3. 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

10 authors.

Guido LancmanIcahn School of Medicine at Mount Sinai, New York, New York.
Douglas TremblayIcahn School of Medicine at Mount Sinai, New York, New York.
Kevin BarleyIcahn School of Medicine at Mount Sinai, New York, New York.
Bart BarlogieIcahn School of Medicine at Mount Sinai, New York, New York.
Hearn Jay ChoIcahn School of Medicine at Mount Sinai, New York, New York.
Sundar JagannathIcahn School of Medicine at Mount Sinai, New York, New York.
Deepu MadduriIcahn School of Medicine at Mount Sinai, New York, New York.
Erin MoshierIcahn School of Medicine at Mount Sinai, New York, New York.
Samir ParekhIcahn School of Medicine at Mount Sinai, New York, New York.
Ajai ChariIcahn School of Medicine at Mount Sinai, New York, New York.

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Deanna L Benson · 2015 to 2026
$35.4M
NCI NIH HHS P30 CA196521
6 · The paper itself

Abstract

Multiple myeloma is a heterogeneous disease with a prognosis that varies with patient factors, disease burden, tumor biology, and treatments. Certain molecular abnormalities confer a worse prognosis and thus are considered high-risk. These include t(4;14), del(17p), t(14;16), t(14;20), hypodiploidy, and gain(1q)/del(1p). In our previous review in 2013, we discussed the effect of available therapies on prognosis in these high-risk patients. Since then, seven phase 3 clinical trials in relapsed myeloma with 1 to 3 lines of therapy have been conducted, resulting in the approval of panobinostat, ixazomib, daratumumab, and elotuzumab, as well as additional data on carfilzomib. In our current review of these studies, all the novel therapies resulted in an improvement in progression-free survival for high-risk patients, but none of the trials provided clear statistical evidence that they overcame high-risk status. Moreover, there are several limitations in the currently available data. For example, the patient's Revised International Staging System score is generally not reported, and even when it is reported, it is usually at the time of initial diagnosis rather than at the time of study entry. Furthermore, the methodology used to determine risk suffers from technologic issues. Finally, the clonal and allele burden and concurrent molecular abnormalities can affect risk status and prognosis. To determine the optimal therapy for high-risk patients, future clinical trials should provide standardized risk assessments for all patients in addition to hazard ratios for Kaplan-Meier survival curves of high-risk patients vs those of standard-risk patients to determine if high-risk status has truly been overcome by a novel agent.

Indexed as

Antibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBoron CompoundsDisease-Free SurvivalGlycineHumansHydroxamic AcidsIndolesKaplan-Meier EstimateMultiple MyelomaOligopeptidesPanobinostatPrognosisAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBoron CompoundscarfilzomibdaratumumabelotuzumabGlycineHydroxamic AcidsIndolesixazomibOligopeptidesPanobinostat

Identifiers

PMID29200420
PMCPMC5993678

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.