Evidence map›Paper›PMID 42182681›Full record

ArticleJournal of thoracic disease2026

Risk factors associated with chronic obstructive pulmonary disease severity among adults: a hospital-based cross-sectional study in Ningbo, China (2022-2025).

Wenqian Lin, Kaihao Hu, Kai Wang, Weijia Wang, Chuqing Cao, Yifan Tang, Wanjun Yu, Long Bai, Ying Chen, Xingyu Liang and 2 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wenqian Lin *Department of Financial and Actuarial Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Kaihao Hu *Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Kai WangAcademy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Weijia WangAcademy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Chuqing CaoDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA.
Yifan TangAcademy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Wanjun YuDepartment of Special Examination, The Affiliated People's Hospital of Ningbo University, Ningbo, China.
Long BaiDepartment of Financial and Actuarial Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Ying ChenAcademy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Xingyu LiangQianhu Hospital, Ningbo, China.
Caiping ChenDepartment of Special Examination, The Affiliated People's Hospital of Ningbo University, Ningbo, China.
Chengxiu LingAcademy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.ORCID https://orcid.org/0000-0003-3813-0428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) remains a major public health burden. Understanding the distribution of demographic, clinical, and socioeconomic characteristics across severity stages may support improved disease management. This study examined characteristics associated with COPD severity among adults aged 60-80 years in a hospital-based screening cohort in Ningbo, China. Methods: A cross-sectional analysis was conducted from January 2022 to December 2025 among 18,832 spirometry-confirmed COPD patients identified through a hospital-based screening program. COPD severity was classified according to the 2023 Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria. Group differences were evaluated using χ Results: Most patients were classified as GOLD stage I or II. In univariate analyses using χ Conclusions: In this hospital-based screening cohort, COPD severity varied systematically across demographic, symptom-related, and socioeconomic characteristics. These findings describe stage-related gradients within the screened population and may inform targeted management strategies.

Indexed as

Chronic obstructive pulmonary disease (COPD)disease severityordinal logistic regressionscreening populationspirometry

Identifiers

PMID42182681
PMCPMC13190015

What OpenQuestion holds

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Registered trials

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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.