Evidence map›Paper›PMID 39819734›Full record

ArticleBMC rheumatology2025

Use of disease modifying anti-rheumatic drugs and risk of multiple myeloma in US Veterans with rheumatoid arthritis.

Kate Tokareva, Alexander C Peterson, Aaron Baraff, Sarah P Chung, Jennifer Barton, Joshua F Baker, Bryant R England, Ted R Mikuls, Nicholas L Smith, David G Coffey and 2 more

Abstract read
In one paragraph

Article in BMC rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Kate TokarevaUniversity of Washington, Seattle, WA, USA.
Alexander C PetersonERIC, VA Puget Sound, Seattle, WA, USA.
Aaron BaraffERIC, VA Puget Sound, Seattle, WA, USA.
Sarah P ChungVirginia Mason, Seattle, WA, USA.
Jennifer BartonPortland VA Medical Center and OHSU, Portland, OR, USA.
Joshua F BakerCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
Bryant R EnglandUniversity of Nebraska Medical Center and VA Nebraska-Western Iowa Health Care System, Omaha, NE, USA.
Ted R MikulsUniversity of Nebraska Medical Center and VA Nebraska-Western Iowa Health Care System, Omaha, NE, USA.
Nicholas L SmithERIC, VA Puget Sound, Seattle, WA, USA.
David G CoffeyDivision of Myeloma, University of Miami, Miami, FL, USA.
Noel S WeissDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Namrata SinghDepartment of Epidemiology, University of Washington, Seattle, WA, USA. nasingh@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiologic (b) and targeted synthetic (ts) disease-modifying anti-rheumatic drugs (DMARDs) used in the management of rheumatoid arthritis (RA) target inflammatory pathways implicated in the pathogenesis of multiple myeloma (MM). It is unknown whether use of b/tsDMARDs affects the incidence of MM.

methodsIn this cohort study using Veterans Health Administration (VHA) data, we identified Veterans newly diagnosed with RA from 1/1/2002 to 12/31/2018 using diagnostic codes and medication fills. DMARD exposure was categorized as follows: conventional synthetic (cs)DMARDs; bDMARDs, which included tumor necrosis factor inhibitors (TNFi), non-TNFi; and a tsDMARD, tofacitinib. A Cox proportional hazards model with time-varying exposure was used to estimate the hazard ratio for developing MM among those who received b/tsDMARD medications relative to b/tsDMARD-naïve persons.

results27,540 veterans with RA met eligibility criteria of whom 8322 (30%) took a b/tsDMARD during follow-up. There were 77 incident cases of MM over 192,000 person-years of follow-up. The age-adjusted incidence rate (IR) of MM among b/tsDMARD-naïve patients was 0.37 (95% CI 0.28-0.49) per 1000 person-years and 0.42 among current or former b/tsDMARD users (95% CI 0.25-0.65). Adjusting for age and other demographic characteristics, the hazard ratio for MM associated with use of b/tsDMARDs was 1.32 (95% CI 0.78, 2.26).

conclusionIn this study of Veterans with RA, the rate of MM did not differ between b/tsDMARD and csDMARD users. The relatively short duration of follow-up and few events limited our power to detect treatment-related differences in MM risk.

Indexed as

Multiple myelomaRheumatoid arthritisTumor necrosis factor inhibitors

Identifiers

PMID39819734
PMCPMC11740324

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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.