Evidence map›Paper›PMID 35302602›Full record

ArticleRheumatology (Oxford, England)2022

Automated quantification system predicts survival in rheumatoid arthritis-associated interstitial lung disease.

Ju Hyun Oh, Grace Hyun J Kim, Gary Cross, Joseph Barnett, Joseph Jacob, Seokchan Hong, Jin Woo Song

Abstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

23 citing papers in PubMed.

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  17. Towards the adoption of quantitative computed tomography in the management of interstitial lung disease.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ju Hyun OhDepartment of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Grace Hyun J KimDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, USA.
Gary CrossDepartment of Radiology, Royal Free Hospital, Royal Free London NHS Foundation Trust.
Joseph BarnettDepartment of Radiology, Royal Free Hospital, Royal Free London NHS Foundation Trust.
Joseph JacobDepartment of Respiratory Medicine.
Seokchan HongDepartment of Rheumatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jin Woo SongDepartment of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-5121-3522

Funding

Wellcome Trust 209553
6 · The paper itself

Abstract

objectiveThe prognosis of RA-associated interstitial lung disease (RA-ILD) is difficult to predict because of the variable clinical course. This study aimed to determine the prognostic value of an automated quantification system (AQS) in RA-ILD.

methodsWe retrospectively analysed the clinical data and high-resolution CT (HRCT) images of 144 patients with RA-ILD. Quantitative lung fibrosis (QLF, sum of reticulation and traction bronchiectasis) and ILD [QILD; sum of QLF, honeycombing (QHC), and ground-glass opacity (QGG)] scores were measured using the AQS.

resultsThe mean age was 61.2 years, 43.8% of the patients were male, and the 5-year mortality rate was 30.5% (median follow-up, 52.2 months). Non-survivors showed older age, higher ESR and greater AQS scores than survivors. In multivariable Cox analysis, higher QLF, QHC and QILD scores were independent prognostic factors along with older age and higher ESR. In receiver-operating characteristic curve analysis, the QLF score showed better performance in predicting 5-year mortality than the QHC and QGG scores but was similar to the QILD score. Patients with high QLF scores (≥12% of total lung volume) showed higher 5-year mortality (50% vs 17.4%, P < 0.001) than those with low QLF scores and similar survival outcome to patients with idiopathic pulmonary fibrosis (IPF). Combining with clinical variables (age, ESR) further improved the performance of QLF score in predicting 5-year mortality.

conclusionQLF scores might be useful for predicting prognosis in patients with RA-ILD. High QLF scores differentiate a poor prognostic phenotype similar to IPF.

Indexed as

Arthritis, RheumatoidIdiopathic Pulmonary FibrosisLung Diseases, InterstitialFemaleHumansMalePrognosisRetrospective StudiesTomography, X-Ray Computedfibrosisinterstitial lung diseasemortalityprognosisRA

Identifiers

PMID35302602
PMCPMC7615169

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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.