Evidence map›Paper›PMID 34391465›Full record

ReviewArthritis research & therapy2021

The role of lung ultrasound B-lines and serum KL-6 in the screening and follow-up of rheumatoid arthritis patients for an identification of interstitial lung disease: review of the literature, proposal for a preliminary algorithm, and clinical application to cases.

Yukai Wang, Shaoqi Chen, Shaoyu Zheng, Jianqun Lin, Shijian Hu, Jinghua Zhuang, Qisheng Lin, Xuezhen Xie, Kedi Zheng, Weijin Zhang and 5 more

Open access · goldAbstract readReview
In one paragraph

Review in Arthritis research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
5.3field-weighted citation impact, top 3% of its field
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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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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 at 5 institutions in 4 countries.

Yukai Wang *Department of Rheumatology and Immunology, Shantou Central Hospital, Shantou, Guangdong, China. stzxyywyk@126.com.ORCID 0000-0003-2468-3208
Shaoqi Chen *Department of Ultrasound, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China. 1036587183@qq.com.
Shaoyu ZhengDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, Guangdong, China.
Jianqun LinDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, Guangdong, China.
Shijian HuDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, Guangdong, China.
Jinghua ZhuangDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, Guangdong, China.
Qisheng LinDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, Guangdong, China.
Xuezhen XieDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, Guangdong, China.
Kedi ZhengDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, Guangdong, China.
Weijin ZhangDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, Guangdong, China.
Guangzhou DuDepartment of Radiology, Shantou Central Hospital, Shantou, Guangdong, China.
Guohong ZhangDepartment of Pathology, Shantou University Medical College, Shantou, Guangdong, China.
Anna-Maria Hoffmann-VoldDepartment of Rheumatology, Oslo University Hospital, Oslo, Norway.
Marco Matucci-Cerinic *Department of Experimental and Clinical Medicine & Division of Rheumatology, Azienda Ospedaliero Universitaria Careggi, University of Florence, Florence, Italy.
Daniel E Furst *Department of Experimental and Clinical Medicine & Division of Rheumatology, Azienda Ospedaliero Universitaria Careggi, University of Florence, Florence, Italy.
Shantou Central Hospital · CNAzienda Ospedaliero-Universitaria Careggi · ITShantou University · CNOslo University Hospital · NOUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Screening and follow-up of interstitial lung disease associated with rheumatoid arthritis (RA-ILD) is a challenge in clinical practice. In fact, the majority of RA-ILD patients are asymptomatic and optimal tools for early screening and regular follow-up are lacking. Furthermore, some patients may remain oligosymptomatic despite significant radiological abnormalities. In RA-ILD, usual interstitial pneumonia (UIP) is the most frequent radiological and pathological pattern, associated with a poor prognosis and a high risk to develop acute exacerbations and infections. If RA-ILD can be identified early, there may be an opportunity for an early treatment and close follow-up that might delay ILD progression and improve the long-term outcome.In connective tissue disease-associated interstitial lung disease (CTD-ILD), lung ultrasound (LUS) with the assessment of B-lines and serum Krebs von den Lungen-6 antigen (KL-6) has been recognized as sensitive biomarkers for the early detection of ILD. B-line number and serum KL-6 level were found to correlate with high-resolution computed tomography (HRCT), pulmonary function tests (PFTs), and other clinical parameters in systemic sclerosis-associated ILD (SSc-ILD). Recently, the significant correlation between B-lines and KL-6, two non-ionizing and non-invasive biomarkers, was demonstrated. Hence, the combined use of LUS and KL-6 to screen and follow up ILD in RA patients might be useful in clinical practice in addition to existing tools. Herein, we review relevant literature to support this concept, propose a preliminary screening algorithm, and present 2 cases where the algorithm was used.

Indexed as

Arthritis, RheumatoidLung Diseases, InterstitialAlgorithmsFollow-Up StudiesHumansLungMucin-1Mucin-1B-linesFollow upHigh-resolution computed tomographyKL-6Lung ultrasoundPulmonary function testsRheumatoid arthritis–associated interstitial lung diseaseScreen

Identifiers

PMID34391465
PMCPMC8364073
OpenAlexW3195673915

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.