Evidence map›Paper›PMID 39793598›Full record

Observational studyThe Lancet. Rheumatology2025

Advanced therapies in US veterans with rheumatoid arthritis-associated interstitial lung disease: a retrospective, active-comparator, new-user, cohort study.

Bryant R England, Joshua F Baker, Michael D George, Tate M Johnson, Yangyuna Yang, Punyasha Roul, Halie Frideres, Harlan Sayles, Fang Yu, Scott M Matson and 5 more

Abstract readObservational Study
In one paragraph

Observational study in The Lancet. Rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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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

15 authors.

Bryant R EnglandUS Department of Veterans Affairs (VA) Nebraska-Western Iowa Health Care System, Omaha, NE, USA; University of Nebraska Medical Center, Omaha, NE, USA. Electronic address: bryant.england@unmc.edu.
Joshua F BakerCorporal Michael J Crescenz VA Medical Center, Philadelphia, PA, USA; University of Pennsylvania, Philadelphia, PA, USA.
Michael D GeorgeUniversity of Pennsylvania, Philadelphia, PA, USA.
Tate M JohnsonUS Department of Veterans Affairs (VA) Nebraska-Western Iowa Health Care System, Omaha, NE, USA; University of Nebraska Medical Center, Omaha, NE, USA.
Yangyuna YangUniversity of Nebraska Medical Center, Omaha, NE, USA.
Punyasha RoulUniversity of Nebraska Medical Center, Omaha, NE, USA.
Halie FrideresUniversity of Nebraska Medical Center, Omaha, NE, USA.
Harlan SaylesUniversity of Nebraska Medical Center, Omaha, NE, USA.
Fang YuUniversity of Nebraska Medical Center, Omaha, NE, USA.
Scott M MatsonKansas University Medical Center, Kansas City, KS, USA.
Jorge RojasVA Puget Sound Health Care System, Seattle, WA, USA.
Brian C SauerVA Salt Lake City Health Care System, Salt Lake City, UT, USA; University of Utah, Salt Lake City, UT, USA.
Grant W CannonVA Salt Lake City Health Care System, Salt Lake City, UT, USA; University of Utah, Salt Lake City, UT, USA.
Jeffrey R CurtisUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Ted R MikulsUS Department of Veterans Affairs (VA) Nebraska-Western Iowa Health Care System, Omaha, NE, USA; University of Nebraska Medical Center, Omaha, NE, USA.

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI RIZZO, MATTHEW · 2016 to 2025
$42.8M
Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Diane E Mahoney · 2019 to 2026
$21.5M
Methods and Health Informatics CoreP30AR072583 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JEFFREY R. CURTIS · 2020 to 2026
$5.7M
BLRD VA I01 BX004660CSRD VA I01 CX001703CSRD VA IK2 CX002203HSRD VA SDR 02-237NIAMS NIH HHS P30 AR072583NIGMS NIH HHS P20 GM130423NIGMS NIH HHS U54 GM115458RRD VA I01 RX003644
6 · The paper itself

Abstract

backgroundUncertainty exists regarding patient outcomes when using TNF inhibitors versus other biological and targeted synthetic disease-modifying antirheumatic drugs (DMARDs) in rheumatoid arthritis-associated interstitial lung disease (ILD). We compared survival and respiratory hospitalisation outcomes following initiation of TNF-inhibitor or non-TNF inhibitor biological or targeted synthetic DMARDs for treatment of rheumatoid arthritis-associated ILD.

methodsWe did a retrospective, active-comparator, new-user, observational cohort study with propensity score matching following the target trial emulation framework using US Department of Veterans Affairs (VA) electronic and administrative health records. VA health-care enrollees with rheumatoid arthritis-associated ILD and no previous receipt of ILD-directed therapies (eg, antifibrotics) who initiated a TNF inhibitor or non-TNF inhibitor between Jan 1, 2006, and Dec 31, 2018, were included. Propensity score matching was performed using demographics, health-care use, health behaviours, comorbidity burden, rheumatoid arthritis-related severity factors, and ILD-related severity factors, including baseline forced vital capacity. Study outcomes were respiratory hospitalisation, all-cause mortality, and respiratory-related death over follow-up of up to 3 years, from VA, Medicare, and National Death Index data. People with lived experience of rheumatoid arthritis-associated ILD were not involved in the design or conduct of this study.

findingsOf 1047 patients with rheumatoid arthritis-associated-ILD who initiated biological or targeted synthetic DMARDs, we matched 237 patients who had initiated TNF inhibitors and 237 who had initiated non-TNF inhibitors (mean age 68 years [SD 9]); 434 (92%) of 474 were male and 40 (8%) were female. Death and respiratory hospitalisation did not significantly differ between groups (adjusted hazard ratio 1·21 [95% CI 0·92-1·58]). Respiratory hospitalisation (1·27 [0·91-1·76]), all-cause mortality (1·15 [0·83-1·60]), and respiratory mortality (1·38 [0·79-2·42]) did not differ between groups. Secondary, sensitivity, and subgroup analyses supported the primary findings.

interpretationIn US veterans with rheumatoid arthritis-associated ILD, no difference in outcomes were seen between those who started TNF inhibitors compared to those starting non-TNF biological or targeted synthetic DMARDs. These data do not support systematic avoidance of TNF inhibitors in all people with rheumatoid arthritis-associated ILD. Comparative efficacy trials in patients with rheumatoid arthritis-associated ILD are needed given the potential for residual confounding and selection bias in observational studies.

fundingUS Department of Veterans Affairs.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidLung Diseases, InterstitialAgedFemaleHospitalizationHumansMaleMiddle AgedPropensity ScoreRetrospective StudiesTumor Necrosis Factor InhibitorsUnited StatesUnited States Department of Veterans AffairsVeteransAntirheumatic AgentsTumor Necrosis Factor Inhibitors

Identifiers

PMID39793598
PMCPMC12337451

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.