2016
DOI: 10.1111/resp.12834
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Development of a simple screening tool for opportunistic COPD case finding in primary care in Latin America: The PUMA study

Abstract: Background and objective: Opportunistic chronic obstructive pulmonary disease (COPD) case finding approaches for high-risk individuals with or without symptoms is a feasible option for disease identification. PUMA is an opportunistic case finding study conducted in primary care setting of Argentina, Colombia, Venezuela and Uruguay. The objectives were to measure COPD prevalence in an at-risk population visiting primary care for any reason, to assess the yield of this opportunistic approach and the accuracy of … Show more

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Cited by 42 publications
(27 citation statements)
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“…Participation rates in the PUMA study have been published elsewhere 2427. Among the 1,743 patients who completed interviews, 1,540 had acceptable spirometry values.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Participation rates in the PUMA study have been published elsewhere 2427. Among the 1,743 patients who completed interviews, 1,540 had acceptable spirometry values.…”
Section: Resultsmentioning
confidence: 99%
“…Complete details of the methodology have been published previously 2427. In summary, this was a multicenter, multinational, cross-sectional, and non-interventional study.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In a multinational study from South America, López Varela et al . evaluated a simple screening index for COPD based on symptoms and risk factors which might facilitate early diagnosis . The problem of differentiating asthma from COPD is now well recognized and reflected in the emerging research on the putative asthma–COPD overlap syndrome (ACOS).…”
Section: Chronic Obstructive Pulmonary Diseasementioning
confidence: 99%
“…Therefore, questions arise regarding screening itself. The current practice is active case-finding, not screening (GOLD, 2017), as case-finding in primary care is a practicable option in terms of resources for early COPD detection (López Varela, 2016). But is this method responsible for the 'missing millions'?…”
Section: Introductionmentioning
confidence: 99%