Evidence map›Paper›PMID 31875053›Full record

Trial reportScientific reports2019

Predictive Modelling of Lung Function using Emphysematous Density Distribution.

Kuo-Lung Lor, Cheng-Pei Liu, Yeun-Chung Chang, Chong-Jen Yu, Cheng-Yi Wang, Ming-Jui Chung, Fan-Ya Lin, Chung-Ming Chen

Open access · goldAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Guideline
  2. Observational
  3. Article
  4. Association of Body Composition with Pulmonary Function in Ningxia: The China Northwest Cohort.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Article
  5. Review
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

8 authors at 3 institutions in 1 country.

Kuo-Lung LorDepartment of Biomedical Engineering, National Taiwan University, No. 1, Sec. 1, Jen - Ai Rd., Taipei City, 100, Taiwan (R.O.C.).
Cheng-Pei LiuDepartment of Biomedical Engineering, National Taiwan University, No. 1, Sec. 1, Jen - Ai Rd., Taipei City, 100, Taiwan (R.O.C.).
Yeun-Chung ChangNational Taiwan University Hospital, No. 7, Chung Shan S. Rd., Zhongzheng Dist., Taipei City, 10002, Taiwan (R.O.C.).
Chong-Jen YuNational Taiwan University Hospital, No. 7, Chung Shan S. Rd., Zhongzheng Dist., Taipei City, 10002, Taiwan (R.O.C.).ORCID http://orcid.org/0000-0001-5664-9392
Cheng-Yi WangCardinal Tien Hospital, No. 362, Zhongzheng Rd., Xindian Dist., New Taipei City, 23148, Taiwan (R.O.C.).
Ming-Jui ChungDepartment of Biomedical Engineering, National Taiwan University, No. 1, Sec. 1, Jen - Ai Rd., Taipei City, 100, Taiwan (R.O.C.).
Fan-Ya LinDepartment of Biomedical Engineering, National Taiwan University, No. 1, Sec. 1, Jen - Ai Rd., Taipei City, 100, Taiwan (R.O.C.).
Chung-Ming ChenDepartment of Biomedical Engineering, National Taiwan University, No. 1, Sec. 1, Jen - Ai Rd., Taipei City, 100, Taiwan (R.O.C.). chung@ntu.edu.tw.ORCID http://orcid.org/0000-0002-0023-5817
National Taiwan University · TWNational Taiwan University Hospital · TWCardinal Tien Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Target lung tissue selection remains a challenging task to perform for treating severe emphysema with lung volume reduction (LVR). In order to target the treatment candidate, the percentage of low attenuation volume (LAV%) representing the proportion of emphysema volume to whole lung volume is measured using computed tomography (CT) images. Although LAV% have shown to have a correlation with lung function in patients with chronic obstructive pulmonary disease (COPD), similar measurements of LAV% in whole lung or lobes may have large variations in lung function due to emphysema heterogeneity. The functional information of regional emphysema destruction is required for supporting the choice of optimal target. The purpose of this study is to develop an emphysema heterogeneity descriptor for the three-dimensional emphysematous bullae according to the size variations of emphysematous density (ED) and their spatial distribution. The second purpose is to derive a predictive model of airflow limitation based on the regional emphysema heterogeneity. Deriving the bullous representation and grouping them into four scales in the upper and lower lobes, a predictive model is computed using the linear model fitting to estimate the severity of lung function. A total of 99 subjects, 87 patients with mild to very severe COPD (Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage I~IV) and 12 control participants with normal lung functions (forced expiratory volume in one second (FEV

Indexed as

LungModels, BiologicalPulmonary Disease, Chronic ObstructivePulmonary EmphysemaTomography, X-Ray ComputedAgedAged, 80 and overFemaleForced Expiratory VolumeHumansMaleMiddle AgedRespiratory Function TestsRetrospective StudiesSeverity of Illness Index

Identifiers

PMID31875053
PMCPMC6930211
OpenAlexW2997199606

What OpenQuestion holds

Textmetadata
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.