Evidence map›Paper›PMID 32092320›Full record

ArticleChest2020

"High-Risk" Clinical and Inflammatory Clusters in COPD of Chinese Descent.

Pei Yee Tiew, Fanny Wai San Ko, Jayanth Kumar Narayana, Mau Ern Poh, Huiying Xu, Han Yee Neo, Li-Cher Loh, Choo Khoon Ong, Micheál Mac Aogáin, Jessica Han Ying Tan and 9 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Chest, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 12% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Healthcare Costs and Trends of Multimorbidity in COPD Patients: A Population-Based Study in Singapore.International journal of chronic obstructive pulmonary disease · 2026
    Article
  6. Allergic bronchopulmonary aspergillosis andJournal of thoracic disease · 2025
    Review
  7. Article
  8. Review
  9. Predictors of Clinical Stability and Mortality in COPD: A Longitudinal Study.International journal of chronic obstructive pulmonary disease · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. RETRO-POPE: A Retrospective, Multicenter, Real-World Study of All-Cause Mortality in COPD.International journal of chronic obstructive pulmonary disease · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 9 institutions in 6 countries.

Pei Yee TiewLee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore.
Fanny Wai San KoDepartment of Medicine and Therapeutics The Chinese University of Hong Kong, Hong Kong.
Jayanth Kumar NarayanaLee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Indian Institute of Science Education and Research, Pune, India.
Mau Ern PohDepartment of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Huiying XuDepartment of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore.
Han Yee NeoDepartment of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore.
Li-Cher LohDepartment of Medicine, RCSI-UCD Malaysia Campus, Georgetown, Penang, Malaysia.
Choo Khoon OngDepartment of Medicine, RCSI-UCD Malaysia Campus, Georgetown, Penang, Malaysia.
Micheál Mac AogáinLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Jessica Han Ying TanDepartment of General Medicine, Sengkang General Hospital, Singapore.
Nabilah Husna KamaruddinDepartment of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Gerald Jiong Hui SimDepartment of Respiratory and Critical Care Medicine, Changi General Hospital, Singapore.
Therese S LapperreDepartment of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore; Department of Respiratory Medicine, Bispebjerg University Hospital, Copenhagen, Denmark.
Mariko Siyue KohDepartment of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore.
David Shu Cheong HuiDepartment of Medicine and Therapeutics The Chinese University of Hong Kong, Hong Kong.
John Arputhan AbisheganadenDepartment of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore.
Augustine TeeDepartment of Respiratory and Critical Care Medicine, Changi General Hospital, Singapore.
Krasimira Tsaneva-AtanasovaLiving Systems Institute and Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK; PSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, UK.
Sanjay H ChotirmallLee Kong Chian School of Medicine, Nanyang Technological University, Singapore. Electronic address: schotirmall@ntu.edu.sg.
Nanyang Technological University · SGTan Tock Seng Hospital · SGChangi General Hospital · SGChinese University of Hong Kong · HKRCSI & UCD Malaysia Campus · MYSingapore General Hospital · SGUniversity of Malaya · MYSengkang General Hospital · SGUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOPD is a heterogeneous disease demonstrating inter-individual variation. A high COPD prevalence in Chinese populations is described, but little is known about disease clusters and prognostic outcomes in the Chinese population across Southeast Asia. We aim to determine if clusters of Chinese patients with COPD exist and their association with systemic inflammation and clinical outcomes. RESEARCH QUESTION: We aim to determine if clusters of Chinese patients with COPD exist and their association with clinical outcomes and inflammation. STUDY DESIGN AND

methodsChinese patients with stable COPD were prospectively recruited into two cohorts (derivation and validation) from six hospitals across three Southeast Asian countries (Singapore, Malaysia, and Hong Kong; n = 1,480). Each patient was followed more than 2 years. Clinical data (including co-morbidities) were employed in unsupervised hierarchical clustering (followed by validation) to determine the existence of patient clusters and their prognostic outcome. Accompanying systemic cytokine assessments were performed in a subset (n = 336) of patients with COPD to determine if inflammatory patterns and associated networks characterized the derived clusters.

resultsFive patient clusters were identified including: (1) ex-TB, (2) diabetic, (3) low comorbidity: low-risk, (4) low comorbidity: high-risk, and (5) cardiovascular. The cardiovascular and ex-TB clusters demonstrate highest mortality (independent of Global Initiative for Chronic Obstructive Lung Disease assessment) and illustrate diverse cytokine patterns with complex inflammatory networks.

interpretationWe describe clusters of Chinese patients with COPD, two of which represent high-risk clusters. The cardiovascular and ex-TB patient clusters exhibit high mortality, significant inflammation, and complex cytokine networks. Clinical and inflammatory risk stratification of Chinese patients with COPD should be considered for targeted intervention to improve disease outcomes.

Indexed as

AdultAgedAsian PeopleCluster AnalysisCohort StudiesCytokinesFemaleHong KongHumansInflammationMalaysiaMaleMiddle AgedPrognosisPulmonary Disease, Chronic ObstructiveSingaporeCytokinescardiovascularChineseCOPDmortalityTB

Identifiers

PMID32092320
PMCPMC7339237
OpenAlexW3006955535

What OpenQuestion holds

Textmetadata
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.