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Multicenter Prospective Observational Study: Use Machine Learning to Optimize COPD Screening Questionnaire and Evaluate its Effectiveness for COPD Screening in China

Multicenter Prospective Observational Study: Use Machine Learning to Optimize COPD Screening Questionnaire and Evaluate its Effectiveness for COPD Screening in China

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100047494
Enrollment
Unknown
Registered
2021-06-20
Start date
2021-06-15
Completion date
Unknown
Last updated
2022-02-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

COPD

Interventions

Case series:No

Sponsors

The Second Xiangya Hospital of Central South University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
35 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Male or female, aged 35 to 80 years; 2. Voluntarily visit the research center at the outpatient clinic ; 3. Voluntarily enroll in this study and sign the informed consent form.

Exclusion criteria

Exclusion criteria: 1. Have been diagnosed with asthma, pulmonary tuberculosis, interstitial pneumonia, lung cancer, Bronchiectasis, COPD and other respiratory diseases; 2. Had pulmonary lobectomy surgeries; 3. Are allergic to bronchodilators; 4. Are currently enrolled in other clinical studies; 5. Are currently visiting the outpatient clinic for acute respiratory diseases; 6. Are under unconsciousness, without fair expression and comprehension abilities; 7. Are suggested by the researchers unfit for having pulmonary function tests.

Design outcomes

Primary

MeasureTime frame
General Information of Subjects;

Countries

China

Contacts

Public ContactChen Yan

The Second Xiangya Hospital of Central South University

chenyan99727@163.com+86 13508471738

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026