Evidence map›Paper›PMID 35248040›Full record

ArticleRespiratory research2022

Quantitative evaluation of disease severity in connective tissue disease-associated interstitial lung disease by dual-energy computed tomography.

Ling Chen, Min Zhu, Haiyan Lu, Ting Yang, Wanjiang Li, Yali Zhang, Qibing Xie, Zhenlin Li, Huajing Wan, Fengming Luo

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 21 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

10 authors at 1 institution in 1 country.

Ling Chen *Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, China.
Min Zhu *Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, China.
Haiyan Lu *Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, China.
Ting YangDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, China.
Wanjiang LiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Yali ZhangDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, China.
Qibing XieDepartment of Rheumatology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Zhenlin LiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Huajing WanDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, China. wanhuajing1974@wchscu.cn.
Fengming LuoDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, China. fengmingluo@outlook.com.ORCID http://orcid.org/0000-0001-9267-3437
Sichuan University · CN

Funding

1·3·5 project for disciplines of excellence, West China Hospital, Sichuan University Woodland and Forest Health ZYJC18021Sichuan Science and Technology Program 2020YFH0073Sichuan Science and Technology Program 2021YFQ0030
6 · The paper itself

Abstract

backgroundHigh-resolution computed tomography (HRCT) is recommended diagnosing and monitoring connective tissue disease-associated interstitial lung disease (CTD-ILD). Quantitative computed tomography has the potential to precisely assess the radiological severity of CTD-ILD, but has still been under study.

objectiveTo investigate whether dual-energy computed tomography (DECT), a novel quantitative technique, can be used for quantitative severity assessment in CTD-ILD.

methodsThis cross sectional study recruited adult CTD-ILD patients who underwent DECT scans from the ICE study between October 2019 and November 2021. DECT parameters, including effective atomic number (Z

resultsThere was a total of 147 patients with DECT scans enrolled. Higher Z

conclusionsDECT can be applied to evaluate the severity of CTD-ILD.

Indexed as

Quality of LifeCross-Sectional StudiesFemaleHumansLungLung Diseases, InterstitialMaleMiddle AgedRadiography, Dual-Energy Scanned ProjectionROC CurveSeverity of Illness IndexTomography, X-Ray ComputedVital CapacityConnective tissue disease-associated interstitial lung disease (CTD-ILD)Dual-energy computed tomography (DECT)Effective atomic number (Zeff)Lung volume (LV)Monochromatic CT number (MCTN)

Identifiers

PMID35248040
PMCPMC8897904
OpenAlexW4220874407

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.