ArticleChronic obstructive pulmonary diseases (Miami, Fla.)2016
Veterans Airflow Obstruction Screening Questionnaire: A Survey to Identify Veterans with Airflow Obstruction.
Article in Chronic obstructive pulmonary diseases (Miami, Fla.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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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.
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.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Performance of alternative COPD case-finding tools: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2021Pooled it
- Potential impact of combined influenza and pneumococcal vaccines on the severity of respiratory illness in COVID-19 infection among type 2 diabetic patients.Clinical and experimental medicine · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality within the Veterans Healthcare Administration (VHA) and is frequently under-diagnosed. We developed the Veterans Airflow Screening Questionnaire (VAFOSQ) to improve the identification of Veterans with airflow obstruction (AFO), the most commonly used criterion for the diagnosis of COPD.We created an initial survey with 78 variables that have been associated with AFO. A total of 825 patients in 3 primary care clinics performed spirometry after bronchodilator administration and completed the initial survey. Best sets regression was used to build a model that predicted AFO optimally. A total of 195 of 825 (23.3%) patients had AFO and 7 items positively predicted AFO. When the questionnaire score was greater than 25, the VAFOSQ accurately identified AFO with an area under the receiver operating curve of 0.72. In a prospective validation cohort of 376 participants, the positive predictive value was 32% and negative predictive value 81%. The VAFOSQ is a reliable and valid instrument for the identification of veterans at risk for AFO who would benefit from further evaluation with spirometry and assessment for COPD. The VAFOSQ is straightforward to use and can be easily self-administered and self-scored enabling widespread application within the VHA.
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Registered trials
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