Evidence map›Paper›PMID 41704714›Full record

ReviewERJ open research2026

Rectifying COPD management: a critical analysis of the Global Initiative for Chronic Obstructive Lung Disease strategy.

Kwang Joo Park

Abstract readReview
In one paragraph

Review in ERJ open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Kwang Joo ParkDepartment of Pulmonology and Critical Care Medicine, Ajou University School of Medicine, Suwon, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Global Initiative for Chronic Obstructive Lung Disease has greatly contributed to the management of COPD. However, several important issues persist. The initial conception of chronic bronchitis as a short-term illness caused by 1950s air pollution differs significantly from the current understanding of COPD. COPD and asthma are often diagnosed subjectively due to the lack of definitive diagnostic criteria. Asthma patients who lack classic features may be misclassified as having chronic bronchitis, contributing to diagnostic overlap and unnecessary heterogeneity. The inclusion of asthma patients in COPD studies may have introduced significant bias, leading to misguided management recommendations. Notably, studies that attempted to minimise asthma misclassification (such as by excluding patients with elevated blood eosinophil counts) demonstrated more favourable outcomes in the absence of inhaled corticosteroids compared to studies that applied no such exclusion criteria. COPD patients with blood eosinophilia respond to inhaled corticosteroids precisely because they probably have asthma. Bronchodilator reversibility and airway hyperresponsiveness tests have limited utility in ruling out asthma. Despite their limitations, lung function tests remain central to the assessment and management of COPD. Their clinical value is limited by measurement variability and controversies regarding their interpretation. The current "combined assessment" tool may have limited validity, particularly as treatment strategies have become increasingly standardised, emphasising early initiation of dual bronchodilators and avoidance of corticosteroids. Existing strategy documents remain subject to future revisions, as has occurred with previous versions. Realising their full potential requires critical engagement and thoughtful revision, particularly in addressing persistent areas of controversy.

Identifiers

PMID41704714
PMCPMC12907815

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.