Evidence map›Paper›PMID 42167890›Full record

Observational studyRMD open2026

Serum KL-6 and lung ultrasound B-lines: a combined non-invasive model for screening and predicting interstitial lung disease in idiopathic inflammatory myopathy.

Weijin Zhang, Qiongbing Zheng, Shaoyu Zheng, Guangzhou Du, Qichuan Zhang, Shuhan Wu, Guoxin Huang, Zexuan Zhou, Kedi Zheng, Jianqun Lin and 10 more

Abstract readObservational Study
In one paragraph

Observational study in RMD open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

20 authors.

Weijin Zhang *Department of Rheumatology and Immunology, Shantou Central Hospital, Shantou, China.ORCID 0000-0002-1477-7465
Qiongbing Zheng *Department of Neurology, Shantou Central Hospital, Shantou, China.
Shaoyu Zheng *Department of Rheumatology and Immunology, Shantou Central Hospital, Shantou, China.
Guangzhou DuDepartment of Radiology, Shantou Central Hospital, Shantou, China.
Qichuan ZhangDepartment of Pulmonary and Critical Care Medicine, Shantou Central Hospital, Shantou, China.
Shuhan WuDepartment of Pulmonary and Critical Care Medicine, Shantou Central Hospital, Shantou, China.
Guoxin HuangClinical Research Center, Shantou Central Hospital, Shantou, China.
Zexuan ZhouDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, China.
Kedi ZhengDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, China.
Jianqun LinDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, China.
Shijian HuDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, China.
Qisheng LinDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, China.
Jinghua ZhuangDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, China.
Qingzi ChenDepartment of Ultrasound, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Barbara RuaroDepartment of Pulmonology, Cattinara Hospital, University of Trieste, Trieste, Italy.
Anna-Maria Hoffmann-VoldRheumatology Department, Oslo University Hospital, Oslo, Norway.ORCID 0000-0001-6467-7422
Marco Matucci-CerinicUnit of Immunology, Rheumatology, Allergy and Rare Diseases, IRCCS San Raffaele, Milan, Italy.ORCID 0000-0002-9324-3161
Daniel E FurstUnit of Immunology, Rheumatology, Allergy and Rare Diseases, IRCCS San Raffaele, Milan, Italy.
Shaoqi ChenDepartment of Ultrasound, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.ORCID 0000-0002-6868-8345
Yukai WangDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, China stzxyywyk@126.com.ORCID 0000-0003-2468-3208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterstitial lung disease (ILD) is a major pulmonary complication of idiopathic inflammatory myopathy (IIM), where early diagnosis improves outcomes. While high-resolution CT (HRCT) remains the gold standard, its radiation exposure poses concerns. Serum Krebs von den Lungen-6 (KL-6) and lung ultrasound (LUS) B-lines offer non-invasive alternatives, though their optimal diagnostic cut-offs and combined utility for IIM-ILD remain undefined. This study aimed to establish these cut-offs, evaluate diagnostic performance and develop a clinical prediction model.

methodsIn this single-centre observational study, 162 patients diagnosed with IIM between 2020 and 2024 were enrolled. All underwent serum KL-6 testing, and 120 received systematic 50-point LUS examinations. Using HRCT as the reference standard for ILD diagnosis, receiver operating characteristics (ROC) curve analysis was used to determine optimal cut-offs and construct a combined nomogram.

resultsKL-6 levels were significantly elevated in the ILD group (n=113) compared with non-ILD (n=49). The optimal KL-6 cut-off was 553 U/mL (area under the curve (AUC)=0.895, sensitivity 69%, specificity 95.9%). For LUS B-lines number, 25 was recommended as the clinical threshold (sensitivity 98.8%). Their combination enhanced diagnostic performance (AUC=0.984). An online prediction model demonstrated strong clinical applicability. In an exploratory analysis of the rapid-progressive ILD subgroups, KL-6 and B-lines showed only modest predictive value (AUC ≈ 0.65).

conclusionKL-6 ≥553 U/mL and B-lines ≥25 are effective screening thresholds, with combined use significantly improving diagnostic accuracy. The prediction model provides a practical tool for early identification in similar clinical settings. To optimise and generalise its use, external validation in multicentre cohorts is warranted.

Indexed as

LungLung Diseases, InterstitialMucin-1MyositisAdultAgedBiomarkersFemaleHumansMaleMiddle AgedROC CurveUltrasonographyBiomarkersMUC1 protein, humanMucin-1Dermatomyositis, Adult TypeInflammationLung Diseases, InterstitialUltrasonography

Identifiers

PMID42167890
PMCPMC13202146

What OpenQuestion holds

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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.