Evidence map›Paper›PMID 41804374›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2026

The Multidimensional Burden of COPD in China: A Propensity Score-Matched Comparison with Other Prevalent Non-Communicable Diseases.

Quan Sun, Bixiang Lu, Qiuping Chen, Zhenglong Zheng

Abstract readComparative Study
In one paragraph

Article in International journal of chronic obstructive pulmonary 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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Quan Sun *Health Care Security and Pharmacoeconomic Evaluation Branch, China Medical Education Association, Beijing, People's Republic of China.ORCID 0009-0002-2868-8030
Bixiang Lu *Health Care Security and Pharmacoeconomic Evaluation Branch, China Medical Education Association, Beijing, People's Republic of China.
Qiuping ChenSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, People's Republic of China.
Zhenglong ZhengIntegrated Traditional Chinese and Western Medicine Department, Zigong Fourth People's Hospital, Zigong, Sichuan, People's Republic of China.ORCID 0009-0000-8814-0347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality in China, yet its multifaceted burden relative to other major non-communicable diseases (NCDs) is not well-characterized. This study comprehensively assessed the multidimensional burden of COPD compared to hypertension, diabetes, hypercholesterolemia, and osteoporosis in China. Patients and Methods: A cross-sectional analysis was performed using data from the 2020 China National Health and Wellness Survey (NHWS). The study included 589 self-reported COPD patients and comparison cohorts with other NCDs. Propensity score matching (1:1) was used to balance demographic and clinical characteristics. Outcomes included health-related quality of life (HRQoL), work productivity and activity impairment (WPAI), and healthcare resource utilization (HCRU). Results: After matching, COPD patients exhibited a significantly greater overall disease burden compared to those with hypertension, diabetes, or hypercholesterolemia. The burden was severity-dependent, with patients in GOLD stages B and D experiencing the most severe impairments. COPD was associated with significantly lower HRQoL and higher activity impairment than hypertension and hypercholesterolemia. Compared to diabetes, severe COPD (Stage D) showed greater work productivity loss and higher hospitalization rates. The burden relative to osteoporosis was more variable, with the advantage of mild COPD (Stage A) diminishing in advanced stages. Conclusion: COPD imposes a substantial and distinct multidimensional burden in China, often exceeding that of other common NCDs and escalating with severity. These findings underscore the need for severity-based management and integrated care to mitigate the significant health and socioeconomic impact of COPD.

Indexed as

Cost of IllnessNoncommunicable DiseasesPulmonary Disease, Chronic ObstructiveAbsenteeismAgedChinaCross-Sectional StudiesDiabetes MellitusEfficiencyFemaleHumansHypertensionMaleMiddle AgedPrevalencePropensity Scorechronic obstructive pulmonary diseasecomparative studydisease burdenpropensity score matchingurban China

Identifiers

PMID41804374
PMCPMC12967604

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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.