Title |
Derivation of normative data for the COPD assessment test (CAT)
|
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Published in |
Respiratory Research, June 2014
|
DOI | 10.1186/1465-9921-15-68 |
Pubmed ID | |
Authors |
Lancelot M Pinto, Nisha Gupta, Wan Tan, Pei Z Li, Andrea Benedetti, Paul W Jones, Jean Bourbeau, For the CanCOLD study group |
Abstract |
The tradition classification of the severity of COPD, based on spirometry, fails to encompass the heterogeneity of the disease. The COPD assessment test (CAT), a multi-dimensional, patient-filled questionnaire, assesses the overall health status of patients, and is recommended as part of the assessment of individuals with COPD. However, information regarding the range of values for the test in a non-COPD population (normative values) is limited, and consequently, knowledge regarding the optimal cut-off, and the minimum clinically important difference (MCID) for the test remain largely empirical. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 2% |
Unknown | 55 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 13 | 23% |
Researcher | 6 | 11% |
Student > Ph. D. Student | 6 | 11% |
Student > Bachelor | 5 | 9% |
Student > Doctoral Student | 3 | 5% |
Other | 11 | 20% |
Unknown | 12 | 21% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 21 | 38% |
Nursing and Health Professions | 12 | 21% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Mathematics | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 5 | 9% |
Unknown | 15 | 27% |