Evidence map›Paper›PMID 40823562›Full record

ArticleFrontiers in medicine2025

Clinical characteristics and economic burden of hospitalized patients with acute exacerbation of chronic obstructive pulmonary disease in the Chinese Yi population.

Ping Li, Meng Li, Weiling Cai, Lian Liu, Dan Xu, Lei Chen, Diandian Li, Mei Chen, Yanqiu Wu, Yongchun Shen and 1 more

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Article in Frontiers in medicine, 2025. 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

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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

11 authors.

Ping Li *Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Meng Li *Department of Pulmonary and Critical Care Medicine, Liangshan Hospital of Integrated Traditional and Western Medicine, Xichang, China.
Weiling CaiDepartment of Respiratory and Critical Care Medicine, Luojiang District People's Hospital, Deyang, China.
Lian LiuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Dan XuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Lei ChenDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Diandian LiDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Mei ChenSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine (TCM) and Key Laboratory of Acupuncture for Senile Disease, Ministry of Education, Chengdu, China.
Yanqiu WuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yongchun ShenDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Fuqiang WenDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The study aimed to compare the clinical characteristics and economic burden of Yi and Han hospitalized patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Patients and methods: The patients hospitalized for AECOPD were retrospectively enrolled at the Hospital of Integrated Traditional and Western Medicine in Liangshan Yi Autonomous Prefecture, China, from January 2020 to October 2022. Data regarding the characteristics, treatment, clinical outcomes, and economic burden of Yi and Han AECOPD patients included in the cohort were compared and analyzed. Propensity score matching (PSM) adjusted for age and gender differences was used to assess differences between the two groups. Results: Among 685 patients (297 Yi, 388 Han), smoking prevalence was similar (Yi 57.6% vs. Han 55.9%, Conclusion: Significant ethnic differences exist in AECOPD presentation and management between Yi and Han populations, independent of age and gender. These findings highlight the need for ethnicity-tailored COPD management strategies in multi-ethnic regions.

Indexed as

acute exacerbation of chronic obstructive pulmonary diseaseAECOPDChinese Yi populationclinical characteristicstreatment pattern

Identifiers

PMID40823562
PMCPMC12350357

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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.