Evidence map›Paper›PMID 41559115›Full record

ArticleScientific reports2026

Exploring health consequences of Asthma-COPD overlap syndrome in a national study.

Yujiao Wu, Chao Liu, Weihong Ge, Yali Qiu, Zhixin Zhang, Keyu Qin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Yujiao Wu *School of Pharmacy, Faculty of Medicine, Macau University of Science and Technology, Macau SAR, China.
Chao Liu *School of Pharmacy, Faculty of Medicine, Macau University of Science and Technology, Macau SAR, China.
Weihong GeSchool of Pharmacy, Faculty of Medicine, Macau University of Science and Technology, Macau SAR, China.
Yali QiuDepartment of Respiratory and Critical Care Medicine, Changzhou Third People's Hospital, Jiangsu Province, Changzhou, 213000, China.
Zhixin ZhangDepartment of Respiratory and Critical Care Medicine, Changzhou Third People's Hospital, Jiangsu Province, Changzhou, 213000, China.
Keyu QinDepartment of Respiratory and Critical Care Medicine, Changzhou Third People's Hospital, Jiangsu Province, Changzhou, 213000, China. qkyczsy@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma-COPD overlap syndrome (ACOS) represents a clinically significant yet under characterized respiratory phenotype. Comprehensive population-based assessments of ACOS-attributable burden, smoking dose-response relationships, phenotypic subtypes, and mechanistic pathways remain limited. Using 2023-2024 Behavioral Risk Factor Surveillance System data, we conducted 1:1 propensity score matching of 675 ACOS patients with controls without respiratory disease, balanced on 15 covariates including demographics, smoking exposure, BMI, and adverse childhood experiences. Outcomes encompassed health-related quality of life, functional disabilities, healthcare access, and health behaviors. Restricted cubic splines characterized smoking dose-response relationships. Latent class analysis identified ACOS phenotypes. Structural equation modeling with bootstrapping (5,000 resamples) quantified mediation pathways. Despite rigorous matching, ACOS conferred 4.6 additional physically unhealthy days monthly (Cohen's d=0.37), 41% increased activity limitation risk (RR=1.41), and 19% elevated functional disability prevalence (RR=1.19). Smoking exhibited significant nonlinear dose-response (χ

Indexed as

AsthmaAsthma-Chronic Obstructive Pulmonary Disease Overlap SyndromeAdultFemaleHumansMaleMiddle AgedPhenotypeQuality of LifeRisk FactorsSmokingAsthma-COPD overlap syndromeDose-response relationshipLatent class analysisMediation analysisPropensity score matching

Identifiers

PMID41559115
PMCPMC12819372

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.