Evidence map›Paper›PMID 35683565›Full record

ArticleJournal of clinical medicine2022

Health-Screening-Based Chronic Obstructive Pulmonary Disease and Its Effect on Cardiovascular Disease Risk.

Sang-Jun Lee, Sung-Soo Yoon, Myeong-Hoon Lee, Hye-Jun Kim, Yohwan Lim, Hyewon Park, Sun Jae Park, Seogsong Jeong, Hyun-Wook Han

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 4 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

9 authors at 3 institutions in 1 country.

Sang-Jun LeeDepartment of Biomedical Informatics, School of Medicine, CHA University, Seongnam 13488, Korea.
Sung-Soo YoonDepartment of Biomedical Informatics, School of Medicine, CHA University, Seongnam 13488, Korea.ORCID 0000-0001-7970-215X
Myeong-Hoon LeeDepartment of Biomedical Informatics, School of Medicine, CHA University, Seongnam 13488, Korea.
Hye-Jun KimDepartment of Biomedical Informatics, School of Medicine, CHA University, Seongnam 13488, Korea.ORCID 0000-0002-5062-1222
Yohwan LimDepartment of Biomedical Informatics, School of Medicine, CHA University, Seongnam 13488, Korea.ORCID 0000-0002-0402-6334
Hyewon ParkDepartment of Biomedical Informatics, School of Medicine, CHA University, Seongnam 13488, Korea.
Sun Jae ParkDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Korea.ORCID 0000-0001-8205-9556
Seogsong JeongDepartment of Biomedical Informatics, School of Medicine, CHA University, Seongnam 13488, Korea.
Hyun-Wook HanDepartment of Biomedical Informatics, School of Medicine, CHA University, Seongnam 13488, Korea.ORCID 0000-0002-6918-5694
CHA University · KRCHA University Bundang Medical Center · KRSeoul National University · KR

Funding

Ministry of Trade, Industry and Energy 20015086National IT Industry Promotion Agency
6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is considered a major cause of death worldwide, and various studies have been conducted for its early diagnosis. Our work developed a scoring system by predicting and validating COPD and performed predictive model implementations. Participants who underwent a health screening between 2017 and 2020 were extracted from the Korea National Health and Nutrition Examination Survey (KNHANES) database. COPD individuals were defined as aged 40 years or older with prebronchodilator forced expiratory volume in 1 s/forced vital capacity (FEV1/FVC < 0.7). The logistic regression model was performed, and the C-index was used for variable selection. Receiver operating characteristic (ROC) curves with area under the curve (AUC) values were generated for evaluation. Age, sex, waist circumference and diastolic blood pressure were used to predict COPD and to develop a COPD score based on a multivariable model. A simplified model for COPD was validated with an AUC value of 0.780 from the ROC curves. In addition, we evaluated the association of the derived score with cardiovascular disease (CVD). COPD scores showed significant performance in COPD prediction. The developed score also showed a good effect on the diagnostic ability for CVD risk. In the future, studies comparing the diagnostic accuracy of the derived scores with standard diagnostic tests are needed.

Indexed as

cardiovascular diseasechronic obstructive pulmonary diseasescore systemself-diagnosis

Identifiers

PMID35683565
PMCPMC9181412
OpenAlexW4281636383

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.