Evidence map›Paper›PMID 42110504›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2026

Validation and Clinical Analysis of the Quantitative COPD Exacerbation Recognition Tool (Q-CERT): Diagnostic Performance and Association with Lung Function Impairment.

Xingru Zhao, Chao Zhou, Yongqin Liu, Kai Cui, Paul Jones, Yunxia An, Xiaoju Zhang

Abstract readValidation 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.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xingru Zhao *Department of Respiratory and Critical Care Medicine, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, People's Republic of China.
Chao Zhou *Department of Respiratory and Critical Care Medicine, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, People's Republic of China.
Yongqin Liu *Department of Respiratory and Critical Care Medicine, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, People's Republic of China.
Kai CuiDepartment of Respiratory and Critical Care Medicine, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, People's Republic of China.
Paul JonesDepartment of Respiratory Medicine, St. George's University of London, London, UK.ORCID 0000-0001-6087-9182
Yunxia AnDepartment of Respiratory and Critical Care Medicine, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, People's Republic of China.
Xiaoju ZhangDepartment of Respiratory and Critical Care Medicine, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: There is a need for a patient-centered tool that can quantitatively identify acute exacerbations of COPD. This study aims to develop and validate a digital tool that enables such care by providing a quantifiable severity score. Methods: A total of 161 AECOPD patients and 130 stable COPD patients from Henan Provincial People's Hospital were enrolled. Demographics, clinical symptoms, pulmonary function parameters and admission laboratory data for patients were collected. The COPD Exacerbation Recognition Tool (CERT) was quantified using a 4-point Likert scale (0-3) to derive the Quantitative-CERT (Q-CERT) score. Effectiveness of the CERT and Q-CERT in identifying AECOPD was assessed. Results: The CERT demonstrated strong diagnostic performance for recognizing AECOPD, with a sensitivity of 85.7%, specificity of 80.8%, and accuracy of 83.5%. The quantitative Q-CERT score further optimized diagnostic accuracy. At a cutoff of 5 points, the Q-CERT provided optimal sensitivity (89.4%) and specificity (83.8%) combination, with an AUC of 0.956 (95% CI: 0.937-0.976, Conclusion: Q-CERT enhanced the original CERT's ability to identify AECOPD. And total score was correlated with pulmonary function impairment and systemic inflammation, making it an efficient and reliable tool for clinical practice.

Indexed as

Decision Support TechniquesLungPulmonary Disease, Chronic ObstructiveAgedArea Under CurveChinaDisease ProgressionFemaleForced Expiratory VolumeHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsSeverity of Illness IndexVital Capacityacute exacerbationCERTchronic obstructive pulmonary diseaseCOPDCOPD exacerbation recognition toolpatient-centered monitoring

Identifiers

PMID42110504
PMCPMC13156174

What Socratic holds

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LicenceCC BY-NC
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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.