Evidence map›Paper›PMID 42921587›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2026

Three Systemic Comorbidity Axes in Chronic Obstructive Pulmonary Disease: A Comparative Bibliometric Analysis Based on the Web of Science Core Collection, 2005-2026.

Lili Zhong, Zhaoshuang Zhong, Wenhui Ma, Zhuoyu Sun, Guixian Xiao, Yang Yu, Chaofan Cao

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.

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

7 authors.

Lili ZhongDepartment of Respiratory Medicine, The Second Affiliated Hospital of Shenyang Medical College, Shenyang, Liaoning, People's Republic of China.
Zhaoshuang ZhongDepartment of Respiratory Medicine, Central Hospital Affiliated to Shenyang Medical College, Shenyang, Liaoning, People's Republic of China.
Wenhui MaDepartment of Respiratory Medicine, The Second Affiliated Hospital of Shenyang Medical College, Shenyang, Liaoning, People's Republic of China.
Zhuoyu SunDepartment of Respiratory Medicine, The Second Affiliated Hospital of Shenyang Medical College, Shenyang, Liaoning, People's Republic of China.
Guixian XiaoDepartment of Respiratory Medicine, The Second Affiliated Hospital of Shenyang Medical College, Shenyang, Liaoning, People's Republic of China.
Yang YuDepartment of Respiratory Medicine, The Second Affiliated Hospital of Shenyang Medical College, Shenyang, Liaoning, People's Republic of China.
Chaofan CaoDepartment of Respiratory Medicine, The Second Affiliated Hospital of Shenyang Medical College, Shenyang, Liaoning, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multisystem comorbidities contribute to the burden of chronic obstructive pulmonary disease (COPD), but the comparative maturity, frontier evolution, and evidence gaps of major COPD comorbidity domains remain unclear. Objective: To map and compare three systemic COPD comorbidity axes: cardiometabolic, neuropsychiatric/cognitive, and musculoskeletal/nutritional/frailty. Methods: : English-language Articles and Reviews published from 2005 to 2026 were retrieved from the Web of Science Core Collection using common COPD and axis-specific terms. After field checking and deduplication, we analyzed publication trends, contributors, normalized Author Keywords, thematic structures, co-occurrence networks, temporal frontiers, and an exploratory evidence-gap map. A random sample of 100 records per axis was independently assessed for topical relevance, and annual axis-specific publication shares were calculated against a background COPD corpus. Records from 2026 were excluded from temporal comparisons because 2026 was incomplete. Results: Datasets included 5386 cardiometabolic, 1671 neuropsychiatric/cognitive, and 2124 musculoskeletal/nutritional/frailty records. The cardiometabolic axis had the largest literature base and a mature disease-risk factor-outcome structure. The neuropsychiatric/cognitive axis centered on depression, anxiety, cognitive impairment, and quality of life. The musculoskeletal/nutritional/frailty axis showed the highest within-axis growth ratio (1.88) and the largest increase in background-normalized publication share, from 2.41% to 3.17%. Random validation identified 266/300 records as topically relevant, with 94.3% inter-reader agreement. Excluding pulmonary-hypertension-only records did not change the cardiometabolic temporal pattern. Recent frontiers included machine learning, Mendelian randomization, prediction models, and NHANES-based analyses. Conclusion: These findings describe publication activity and knowledge structure rather than clinical comorbidity frequency, severity, or evidence certainty. The three axes showed distinct patterns of scale, expansion, thematic maturity, and methodological development. This framework may inform topic selection and study design, while the exploratory research directions can be evaluated in future longitudinal, causal, interventional, and implementation studies.

Indexed as

BibliometricsCognitive DysfunctionMusculoskeletal DiseasesPulmonary Disease, Chronic ObstructiveCardiometabolic Risk FactorsComorbidityHumansNutritional StatusQuality of LifeRisk Factorsbibliometric analysiscardiometaboliccognitive impairmentcomorbidityCOPDevidence gapfrailtysarcopenia

Identifiers

PMID42921587
PMCPMC13693803

What OpenQuestion holds

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Registered trials

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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.