Evidence map›Paper›PMID 40650954›Full record

ArticleFuture science OA2025

Predictors of frontline doublet or triplet regimen initiation in transplant-ineligible newly diagnosed multiple myeloma.

Matthew J Pianko, Niodita Gupta-Werner, Bruno Emond, Patrick Lefebvre, Marie-Hélène Lafeuille, Annelore Cortoos, Shuchita Kaila

Abstract read
In one paragraph

Article in Future science OA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Matthew J PiankoDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-9295-9750
Niodita Gupta-WernerJohnson and Johnson Innovative Medicine, US Medical Affairs, Horsham, PA, USA.
Bruno EmondAnalysis Group, Inc, Montréal, QC, Canada.ORCID 0000-0002-0060-765X
Patrick LefebvreAnalysis Group, Inc, Montréal, QC, Canada.
Marie-Hélène LafeuilleAnalysis Group, Inc, Montréal, QC, Canada.
Annelore CortoosJohnson and Johnson Innovative Medicine, US Medical Affairs, Horsham, PA, USA.
Shuchita KailaJohnson and Johnson Innovative Medicine, US Medical Affairs, Horsham, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo identify predictors for initiation of frontline doublet versus triplet therapy for transplant-ineligible newly diagnosed multiple myeloma. MATERIALS AND

methodsUsing Flatiron Health data, a random forest model was used to identify baseline predictors of frontline doublet or triplet use.

resultsThe random forest model had good predictive power, with 74% probability of successfully predicting the regimen received (doublets or triplets) for a given patient. Regression analyses found that patients treated with doublets were more likely to be older (age ≥80 versus <60 years: odds ratio [OR] = 0.15,

conclusionsWhile frontline triplet therapies have shown improved efficacy over doublets with tolerable safety, doublet use remains in older and frail patients, creating an opportunity to improve outcomes in this particular patient population.

Indexed as

Doublet regimenfrailtyfrontline therapymachine learningnewly diagnosed multiple myelomapredictiontransplant-ineligibletriplet regimen

Identifiers

PMID40650954
PMCPMC12258182

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Registered trials

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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.