Evidence map›Paper›PMID 41668878›Full record

ArticleERJ open research2026

Predictors of COPD exacerbations differ between grades of airflow limitation.

Yi Lan, Rongchang Chen, Jinping Zheng, Yongchang Sun, Fuqiang Wen, Tao Ye, Chang Liu, Xiao Hu, Jody Goh, Chris Compton and 3 more

Abstract read
In one paragraph

Article in ERJ open research, 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

13 authors.

Yi LanThe Songshan General Hospital, Chongqing, China.
Rongchang ChenShenzhen People's Hospital, Shenzhen, China.
Jinping ZhengFirst Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-7511-661X
Yongchang SunPeking University Third Hospital, Beijing, China.
Fuqiang WenWest China Hospital of Sichuan University, Chengdu, China.
Tao YeGSK, Shanghai, China.
Chang LiuMedical Affairs Respiratory, GSK, Shanghai, China.
Xiao HuGSK, Shanghai, China.
Jody GohGSK, Shanghai, China.
Chris ComptonGlobal Medical Affairs, General Medicines, GSK, London, UK.
Nanshan ZhongFirst Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Paul W JonesGlobal Medical Affairs, General Medicines, GSK, London, UK.ORCID https://orcid.org/0000-0001-6087-9182
Qianli MaThe Songshan General Hospital, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: History of exacerbations is a predictor of future exacerbations in COPD but there are also predictors that are independent of exacerbation history. However, it is unclear whether their relative contribution is consistent across different degrees of airflow limitation. Methods: This analysis used data from COMPASS, a prospective study in COPD. Baseline demographics, clinical history, spirometry and patient-reported outcomes were collected. Multivariable models were created to predict moderate or severe exacerbations in the 18 months after baseline. Covariates included forced expiratory volume in 1 s (FEV Results: At baseline there were 1696 patients; 89.6% males, 46.9% current smokers, mean±sd age of 65.4±7.5 years, post-bronchodilator FEV Conclusions: There are multiple predictors of COPD exacerbations, which differ between GOLD grades. Future predictive models for exacerbation risk should take this into account.

Identifiers

PMID41668878
PMCPMC12884377

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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.