Evidence map›Paper›PMID 32753861›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2020

Different Characteristics of Ex-Smokers and Current Smokers with COPD: A Cross-Sectional Study in China.

Cong Liu, Wei Cheng, Yuqin Zeng, Zijing Zhou, Yiyang Zhao, Jiaxi Duan, Ran Wang, Tian Sun, Xin Li, Zhi Xiang and 2 more

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. TREM-1 aggravates chronic obstructive pulmonary disease development via activation NLRP3 inflammasome-mediated pyroptosis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2021
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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

12 authors.

Cong LiuDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University; Research Unit of Respiratory Disease, Central South University; Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha 410011, Hunan, People's Republic of China.
Wei ChengDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University; Research Unit of Respiratory Disease, Central South University; Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha 410011, Hunan, People's Republic of China.ORCID 0000-0003-1025-0591
Yuqin ZengDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University; Research Unit of Respiratory Disease, Central South University; Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha 410011, Hunan, People's Republic of China.
Zijing ZhouDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University; Research Unit of Respiratory Disease, Central South University; Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha 410011, Hunan, People's Republic of China.
Yiyang ZhaoDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University; Research Unit of Respiratory Disease, Central South University; Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha 410011, Hunan, People's Republic of China.ORCID 0000-0001-5975-8025
Jiaxi DuanDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University; Research Unit of Respiratory Disease, Central South University; Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha 410011, Hunan, People's Republic of China.
Ran WangDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University; Research Unit of Respiratory Disease, Central South University; Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha 410011, Hunan, People's Republic of China.ORCID 0000-0003-4160-5973
Tian SunDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University; Research Unit of Respiratory Disease, Central South University; Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha 410011, Hunan, People's Republic of China.
Xin LiDepartment of Respiratory Diseases, Hunan Prevention and Treatment Institute for Occupational Diseases, Changsha 410007, Hunan, People's Republic of China.ORCID 0000-0002-5471-5808
Zhi XiangDepartment of Respiratory Diseases, The First People's Hospital of Huaihua, Affiliated to University of South China, Huaihua 418000, Hunan, People's Republic of China.
Ping ChenDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University; Research Unit of Respiratory Disease, Central South University; Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha 410011, Hunan, People's Republic of China.
Si LeiDepartment of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University; Research Unit of Respiratory Disease, Central South University; Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha 410011, Hunan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Chronic obstructive pulmonary disease (COPD), usually caused by tobacco smoking, is increased in China. Smoking cessation is the first step in COPD management. Data on predictors of smoking cessation are sparse in COPD patients in China. We aim to find the differences in the clinical characteristics between ex-smokers and current smokers with COPD to determine the factors related to smoking cessation. Patients and Methods: From outpatient departments of 12 hospitals in Hunan and Guangxi provinces, a total of 4331 patients were included. Information on demographic and sociological data, lung function, and modified Medical Research Council (mMRC) dyspnea scale scores were recorded. Patients were divided into an ex-smokers group and a current smokers group based on whether they gave up smoking. A logistic regression analysis was performed to analyze the factors associated with smoking cessation. Results: Of the total, the mean age was 62.9±8.5 years, and 47.3% were ex-smokers. Compared with the current smokers, the ex-smokers were older, and had heavier dyspnea, more severe airflow limitation, fewer pack-years, shorter smoking duration, and a higher proportion of Global Initiative for Chronic Obstructive Lung Disease (GOLD) groups C and D. The logistic regression model showed that smoking cessation was negatively correlated with widowhood, years of smoking, and forced expiratory volume in 1 second (FEV1), but was positively correlated with age, education level, amount smoked, mMRC score, GOLD grades, and GOLD groups. Conclusion: Among patients with COPD, more than half still smoked. In the group of patients who quit smoking, many of them quit rather late in age after they had significant symptoms. Several predictors of smoking cessation were identified, indicating that ex-smokers differ substantially from continuing smokers. This should be taken into account in smoking-cessation interventions.

Indexed as

Pulmonary Disease, Chronic ObstructiveSmokersAgedChinaCross-Sectional StudiesEx-SmokersForced Expiratory VolumeHumansMiddle AgedCOPDcross-sectional studyex-smokers and current smokerssmoking cessation

Identifiers

PMID32753861
PMCPMC7354950

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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.