Evidence map›Paper›PMID 39741665›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2024

Comparison of STAR and GOLD in Assessing Disease Severity Among High-Risk and COPD Patients: Evidence from Enjoying Breathing Program in China.

Ke Huang, Xingyao Tang, Xu Chu, Hongtao Niu, Wei Li, Zhoude Zheng, Yaodie Peng, Jieping Lei, Yong Li, Baicun Li and 2 more

Abstract readComparative Study
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

12 authors.

Ke Huang *Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China.ORCID 0000-0001-8933-387X
Xingyao Tang *Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China.
Xu Chu *Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China.
Hongtao NiuDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China.ORCID 0000-0002-6455-3224
Wei LiDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China.
Zhoude ZhengDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China.
Yaodie PengDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China.
Jieping LeiData and Project Management Unit, Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, People's Republic of China.
Yong LiDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China.
Baicun LiDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China.
Ting YangDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China.
Chen WangDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The STAR staging standard has been demonstrated to have good performance in distinguishing mortality among patients at different stages. However, the effectiveness of STAR and GOLD staging in distinguishing disease severity in high-risk and COPD patients remained unclear. Methods: Based on Enjoying Breathing Program data through June 2023, a total of 7.924 high-risk and COPD patients were included. STAR and GOLD severity stages were based on FEV1/FVC (0.6-0.7, 0.5-0.6, 0.4-0.5, and <0.4 for stage 1 to 4 in STAR) and the proportion of predicted FEV1 value (≥80%, 50%-80%, 30%-50%, and <30% for stage 1 to 4 in GOLD), respectively. The cox regression model was used to assess the risk of medical visit due to severe respiratory symptoms according to STAR and GOLD. Results: The current study included 1603 high-risk individuals and 6321 COPD patients. The proportions of STAR 1-4 in COPD patients were 37.1%, 33.2%, 20.5%, and 9.2%, respectively. In COPD patients only, GOLD stage distinguished disease severity well, but there was no difference in the risk of exacerbation between the different STAR stage groups. In addition, in COPD patients, by considering of GOLD and STAR together, GOLD 3 and 4 can provide more information about the exacerbation based on each STAR level, and STAR 1 and 2 can provide more information about the exacerbation in GOLD 2-4. COPD patients with GOLD 4 and STAR 2 (HR=4.08, 95% CI: 2.75-6.04) had the highest risk of exacerbation, followed by COPD patients with GOLD 4 and STAR 1 (HR=3.94, 95% CI: 2.49-6.23). Conclusion: In COPD patients, GOLD performs better than STAR in predicting exacerbation risk. In addition, the combination of GOLD and STAR can provide more information, especially for COPD patients with GOLD 4 and STAR 1-2, which should be paid more attention in treatment and disease management.

Indexed as

LungPredictive Value of TestsPulmonary Disease, Chronic ObstructiveSeverity of Illness IndexAgedChinaDisease ProgressionFemaleForced Expiratory VolumeHumansMaleMiddle AgedPrognosisRisk AssessmentRisk FactorsVital CapacityCOPDdisease severityGOLDSTAR

Identifiers

PMID39741665
PMCPMC11687320

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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.