Evidence map›Paper›PMID 42756563›Full record

ArticleMediterranean journal of rheumatology2026

Rheumatoid Arthritis-Associated Interstitial Lung Disease Mortality Trends in the United States: A Population-Based Analysis (1999-2020).

Farheen Malik, Jawad Ahmed, Mandar Shah, Ritika Uttam, Muhammad Fahimuddin

Abstract read
In one paragraph

Article in Mediterranean journal of rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

5 authors.

Farheen MalikInternal Medicine Residency Program, Jacobi Medical Centre - Albert Einstein College of Medicine, Bronx, NY, USA.
Jawad AhmedDepartment of Medicine, Northwest Health Porter, Valparaiso, IN, USA.
Mandar ShahInternal Medicine Residency Program, Jacobi Medical Centre - Albert Einstein College of Medicine, Bronx, NY, USA.
Ritika UttamInternal Medicine Residency Program, Jacobi Medical Centre - Albert Einstein College of Medicine, Bronx, NY, USA.
Muhammad FahimuddinDepartment of Medicine, Jacobi Medical Centre - Albert Einstein College of Medicine, Bronx, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate long term trends and demographic, racial, and geographic disparities in mortality related to rheumatoid arthritis associated interstitial lung disease (RA-ILD) in the United States from 1999 to 2020. Methods: Mortality data were taken from the CDC WONDER Multiple Cause of Death database for individuals aged 15 and older. Deaths were included if both ICD-10 codes for rheumatoid arthritis (M05-M06) and interstitial lung disease with fibrosis (J84.1) were recorded; juvenile RA (M08.0) was excluded. Age-adjusted mortality rates (AAMRs) per 100,000 individuals were computed using the 2000 U.S. standard population. Trends were analysed through average and segmented annual percent changes (AAPC, APC) by sex, age, race/ethnicity, geography, and rural urban classification. Results: Between 1999 and 2020, there were 10,171 RA-ILD related deaths. The overall AAMR was 0.2 per 100,000, declining from 0.2 in 1999 to 0.1 in 2020 (AAPC -3.08; 95% CI -4.79 to -2.28; p<0.01). Females represented 63.5% of deaths, exhibiting higher AAMRs than males (0.2 versus 0.1). American Indian/Alaska Native individuals had the highest mortality rate (0.5), while non-Hispanic Black and Asian/Pacific Islander groups had the lowest (0.1). The most significant decline occurred from 2014 to 2017 (APC -24.09; p<0.05). Geographic disparities persisted, especially in northern and western states. Conclusion: Mortality from RA-ILD has decreased over the past two decades, particularly post 2014, likely due to enhanced management and early detection of ILD. However, ongoing gender, racial, and regional disparities emphasise the necessity for equitable healthcare access.

Indexed as

CDC WONDERepidemiologyhealth disparitiesinterstitial lung diseasemortality trendsrheumatoid arthritis

Identifiers

PMID42756563
PMCPMC13583195

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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.