Evidence map›Paper›PMID 39354255›Full record

Observational studyJournal of general internal medicine2025

Predictive Value of CCQ and its Subdomains for Hospitalized Exacerbations in Chronic Obstructive Pulmonary Disease: A 3-Year Observational Prospective Study.

Zijing Zhou, Wei Cheng, Cong Liu, Qing Song, Ling Lin, Yuqin Zeng, Dingding Deng, Libing Ma, Zhiping Yu, Rong Yi and 1 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Journal of general internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

11 authors.

Zijing ZhouDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Renmin Middle Road, No. 139, Changsha, 410011, Hunan, China.
Wei ChengDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Renmin Middle Road, No. 139, Changsha, 410011, Hunan, China.
Cong LiuDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Renmin Middle Road, No. 139, Changsha, 410011, Hunan, China.
Qing SongDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Renmin Middle Road, No. 139, Changsha, 410011, Hunan, China.
Ling LinDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Renmin Middle Road, No. 139, Changsha, 410011, Hunan, China.
Yuqin ZengDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Renmin Middle Road, No. 139, Changsha, 410011, Hunan, China.
Dingding DengDepartment of Respiratory and Critical Care Medicine, The First Affiliated People's Hospital of Shaoyang College, Shaoyang, China.
Libing MaDepartment of Respiratory and Critical Care Medicine, Affiliated Hospital of Guilin Medical University, Guilin, China.
Zhiping YuDepartment of Respiratory Medicine, Longshan Hospital of Traditional Chinese Medicine, Xiangxi Tujia and Miao Autonomous Prefecture, Hunan, China.
Rong YiDepartment of Pulmonary and Critical Care Medicine, Zhuzhou Central Hospital, Zhuzhou, Hunan, China.
Ping ChenDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Renmin Middle Road, No. 139, Changsha, 410011, Hunan, China. pingchen0731@csu.edu.cn.ORCID 0000-0001-6707-8636

Funding

Natural Science Foundation of Hunan Province 2023JJ40879the National Natural Science Foundation of China 82100082the National Natural Science Foundation of China 82270045
6 · The paper itself

Abstract

backgroundThe prediction capacity of the Clinical COPD Questionnaire (CCQ) and its functional, symptom, and mental subdomain for COPD hospitalized exacerbation were rarely studied.

objectiveTo examine the prognostic capacity of the total CCQ and its three subdomains for 3-year COPD hospitalized exacerbations.

methodsWe analyzed the predictive ability of total CCQ score and its subdomains for hospitalized exacerbations in an observational cohort of 987 subjects with stable COPD from the RealDTC, an ongoing multicenter prospective study. Hospitalized exacerbations were prospectively collected every 6 month for a maximum of 3 years.

resultsThe total CCQ and its functional and symptom domain, but not the mental domain, were significantly associated with 3-year hospitalized exacerbations by multivariate Cox regression analysis. The predictive capacity of functional domain was similar to that of the total CCQ, but significantly stronger than the symptom and mental domain by ROC analysis (P < 0.05). ROC curves also showed that the AUC of exacerbation history combined with CCQ functional domain was larger than that of exacerbation history alone (P < 0.0001). Additionally, the predictive value of multivariable models that contains CCQ functional domain was significantly better than the corresponding model without CCQ functional domain (P < 0.05).

conclusionsThe total CCQ and its functional and symptom domain were independent risk factors of 3-year hospitalized exacerbations. The prognostic capacity of the functional domain was similar to that of total CCQ, and was significantly stronger than the symptom and mental domain. The CCQ functional domain was able to increase the predictive power of exacerbation history and other multivariable prediction models, indicating it may have an important role in the multivariable prediction tool for hospitalized exacerbation, and its combination with other clinical variables might be used as a low-cost approach for assessments of the disease severity and severe exacerbation in COPD patients in the future.

Indexed as

HospitalizationPulmonary Disease, Chronic ObstructiveAgedDisease ProgressionFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesSurveys and QuestionnairesCCQCOPDHospitalized exacerbationsSubdomainsThe clinical COPD questionaire

Identifiers

PMID39354255
PMCPMC12052719

What Socratic 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 Socratic graph.