Evidence map›Paper›PMID 41757183›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Deep learning-derived quantitative interstitial abnormalities in early rheumatoid arthritis and healthy controls: A multicenter, prospective cross-sectional study.

Gregory C McDermott, Xiaosong Wang, Natalie A Davis, Misti L Paudel, Ying Qi, Emily Kowalski, Grace Qian, Liya S Getachew, Kevin T Mueller, Alene A Saavedra and 23 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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

33 authors.

Gregory C McDermottDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Xiaosong WangDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Natalie A DavisDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Misti L PaudelDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Ying QiDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Emily KowalskiDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Grace QianDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Liya S GetachewDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Kevin T MuellerDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Alene A SaavedraDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Lauren A O'KeeffeDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Madeleine BeauléDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Ritu GillDepartment of Radiology, Columbia University Medical Center, New York, NY, USA.
Staci GagneHarvard Medical School, Boston, MA, USA.
Suzanne ByrneHarvard Medical School, Boston, MA, USA.
Michael H ChoHarvard Medical School, Boston, MA, USA.ORCID 0000-0002-4907-1657
Edwin K SilvermanHarvard Medical School, Boston, MA, USA.
Madison NegronDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Massachusetts General Hospital, Boston, MA, USA.
Kathleen Mm VanniDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Caleb BoldenDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Massachusetts General Hospital, Boston, MA, USA.
Tina MahajanDivision of Rheumatology, University of Nebraska Medical Center, Omaha, NE, USA.
Erica Mulcaire-JonesDivision of Rheumatology, University of Michigan, Ann Arbor, MI, USA.
Neda KortamDivision of Rheumatology, University of Michigan, Ann Arbor, MI, USA.
Paul F DellaripaDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Pierre-Antoine JugeUniversité de Paris Cité, INSERM UMR 1152, F-75018, Paris, France.
Tracy J DoyleDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.
Marcy B BolsterHarvard Medical School, Boston, MA, USA.
Kevin D DeaneDivision of Rheumatology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Dinesh KhannaDivision of Rheumatology, University of Michigan, Ann Arbor, MI, USA.
Bryant R EnglandDivision of Rheumatology, University of Nebraska Medical Center, Omaha, NE, USA.
Raul San Jose EsteparHarvard Medical School, Boston, MA, USA.
George R WashkoHarvard Medical School, Boston, MA, USA.
Jeffrey A SparksDivision of Rheumatology, Inflammation, and Immunity, Mass General Brigham and Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0002-5556-4618

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI MIKULS, TED RICHARD · 2016 to 2025
$42.8M
GENETIC EPIDEMIOLOGY OF COPD (COPD GENE) TASK A: STUDY VISIT 4, COLLECTION OF COPDGENE STUDY DATA ANDBIOSPECIMENS AND OVERSIGHT OF THE COPDGENE STUDY75N92023D00011 · NHLBI · NATIONAL JEWISH HEALTH · PI NEWMAN, LEE S · 2023 to 2025
$29.6M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
VERITY: Value and Evidence in Rheumatology using bioInformaTics, and advanced analYticsP30AR072577 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Daniel Hal Solomon · 2017 to 2026
$9.8M
Joint Biology Consortium Resource-based CenterP30AR070253 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Peter A Nigrovic, Jeffrey Andrew Sparks · 2016 to 2026
$9.4M
Genetic and Genomic Characterization of the Occurrence and Progression of Interstitial Lung AbnormalitiesR01HL135142 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MICHAEL H. CHO, GARY MATTHEW HUNNINGHAKE · 2017 to 2026
$7.7M
Rheumatoid Arthritis-Related Autoantibodies, Articular Inflammation, and RA-Associated Interstitial Lung DiseaseR01AR077607 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SPARKS, JEFFREY ANDREW · 2021 to 2025
$3.7M
Rheumatoid Arthritis-associated Parenchymal Lung Disease: Clinical and Molecular PhenotypesR01HL155522 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Jeffrey Andrew Sparks, George R Washko · 2022 to 2026
$3.5M
Immunologic and Clinical Sequelae after COVID-19 in Patients with Systemic Autoimmune Rheumatic DiseasesR01AR080659 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Jeffrey Andrew Sparks · 2023 to 2026
$2.9M
CSRD VA IK2 CX002203HSRD VA I01 HX002972NHLBI NIH HHS 75N92023D00011NHLBI NIH HHS R01 HL135142NHLBI NIH HHS R01 HL155522NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897NIAMS NIH HHS P30 AR070253NIAMS NIH HHS P30 AR072577NIAMS NIH HHS R01 AR077607NIAMS NIH HHS R01 AR080659NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

Objective: Quantitative computed tomography (QCT) can automatically quantify parenchymal abnormalities on chest CT imaging using deep learning. We leveraged QCT to detect pulmonary abnormalities in patients with early rheumatoid arthritis (RA) compared to healthy controls. Methods: We analyzed high-resolution CT chest imaging from participants with early RA in the prospective, multicenter, SAIL-RA study and healthy non-smoking controls from the COPDGene study. A deep learning classifier quantified the percentage of normal lung, interstitial abnormalities, and emphysema for each participant. We compared the percentage of QCT features between early RA participants and healthy comparators and examined associations using multivariable linear regression. Results: We analyzed 200 participants with early RA (median RA duration 8.3 months, mean age 55.7 years, 74.5% female) and 104 healthy controls (mean age 62.0 years, 68.3% female). The median percentage of interstitial abnormalities on QCT was 3.7% (IQR 2.1, 6.1%) for early RA and 1.6% (IQR 0.8, 2.4%) for healthy controls (p<0.0001). Early RA was associated with 9.3% less normal lung on QCT than healthy controls, adjusted for age and sex (p<0.0001). Among RA participants, QCT interstitial abnormalities were associated with older age (multivariable β=0.1 per year, 95%CI 0.07-0.2, p<0.0001) and higher DAS28-ESR (multivariable β=0.6 per unit, 95%CI 0.01-1.3, p=0.046). Conclusion: Participants with early RA had less normal lung and more interstitial abnormalities on a deep learning-derived QCT measure than healthy controls. These results suggest that loss of normal lung is already present in early RA and emphasizes the urgent need for strategies to preserve lung health in RA.

Identifiers

PMID41757183
PMCPMC12934845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.