Evidence map›Paper›PMID 30975190›Full record

SynthesisArthritis research & therapy2019

A simplified lung ultrasound for the diagnosis of interstitial lung disease in connective tissue disease: a meta-analysis.

Hai Qin Xie, Wei Wei Zhang, De Sheng Sun, Xiang Mei Chen, Shu Fang Yuan, Zheng Hua Gong, Li Liu

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Arthritis research & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 61 citations in OpenAlex.

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  6. Thoracic ultrasound in interstitial lung disease.Breathe (Sheffield, England) · 2025
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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

7 authors at 1 institution in 1 country.

Hai Qin XieDepartment of Ultrasound, Peking University Shenzhen Hospital, Lianhua Road 1120, FuTian District, Shenzhen, 518036, Guangdong, China.
Wei Wei ZhangDepartment of Ultrasound, Peking University Shenzhen Hospital, Lianhua Road 1120, FuTian District, Shenzhen, 518036, Guangdong, China.
De Sheng SunDepartment of Ultrasound, Peking University Shenzhen Hospital, Lianhua Road 1120, FuTian District, Shenzhen, 518036, Guangdong, China.
Xiang Mei ChenDepartment of Ultrasound, Peking University Shenzhen Hospital, Lianhua Road 1120, FuTian District, Shenzhen, 518036, Guangdong, China.
Shu Fang YuanDepartment of Ultrasound, Peking University Shenzhen Hospital, Lianhua Road 1120, FuTian District, Shenzhen, 518036, Guangdong, China.
Zheng Hua GongDepartment of Ultrasound, Peking University Shenzhen Hospital, Lianhua Road 1120, FuTian District, Shenzhen, 518036, Guangdong, China. gongzhenghua2018@126.com.ORCID 0000-0001-9074-8036
Li LiuDepartment of Ultrasound, Peking University Shenzhen Hospital, Lianhua Road 1120, FuTian District, Shenzhen, 518036, Guangdong, China. liuli126126@126.com.
Peking University Shenzhen Hospital · CN

Funding

the Health and Family Planning Commission of Shenzhen Municipality in China SZSM201512026the Science Technology and Innovation Commission of Shenzhen Municipality in China JCYJ20170413100222613
6 · The paper itself

Abstract

backgroundInterstitial lung disease (ILD) is a common complication of connective tissue disease (CTD) and a leading cause of morbidity and mortality. There are various lung ultrasound (LUS) scoring systems with different lung intercostal spaces (LIS). The purpose of this meta-analysis was to find a simplified LUS method for the assessment of CTD-ILD.

methodsWe systematically retrieved lung ultrasound diagnostic studies on CTD-ILD in PubMed, Embase, and Web of Science databases. Summary diagnostic accuracy, including sensitivity, specificity, and area under the curve (AUC), was analyzed. Subgroup analysis was conducted according to different LIS and diseases.

resultsThe 11 studies included in this meta-analysis comprised a total of 487 patients with CTD. The pooled sensitivity and specificity of the LUS were 0.859 (95% confidence interval (CI) 0.812-0.898) and 0.839 (95% CI 0.782-0.886), respectively, illustrating its great value for CTD-ILD diagnosis. In addition, there were six methods to evaluate LIS, including 72, 65, 50, 14, 10, and all LIS. The pooled sensitivity and specificity of 14 LIS were 0.982 (95% CI 0.904-1.000) and 0.875 (95% CI 0.710-0.965), respectively. The pooled positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odd ratio (DOR) of 14 LIS were 7.297 (95% CI 6.050-17.45), 0.029 (95% CI 0.006-0.147), and 292.30 (95% CI 35.53-2403.8), respectively. Moreover, the AUC for systemic sclerosis (SSc) and rheumatoid arthritis (RA) was 0.929 and 0.981, respectively; the DOR for SSc and RA was 42.93 (95% CI 17.75-103.79) and 80.24 (95% CI 8.107-796.09), respectively.

conclusionsWe found a modified and simplified method of LUS, by scanning 14 LIS in a short time, which had a very high sensitivity and specificity.

Indexed as

Area Under CurveConnective Tissue DiseasesHumansLung Diseases, InterstitialUltrasonographyConnective tissue diseaseInterstitial lung diseaseLung ultrasoundMeta-analysis

Identifiers

PMID30975190
PMCPMC6460810
OpenAlexW2936806078

What OpenQuestion holds

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LicenceCC BY
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.