FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2105398575> ?p ?o ?g. }

• W2105398575 endingPage "1539" @default.
• W2105398575 startingPage "1531" @default.
• W2105398575 abstract "Objectives In most primary care settings, spirometric screening of all patients at risk is not practical. In prior work, we developed questionnaires to help identify COPD in two risk groups: (1) persons with a positive smoking history but no history of obstructive lung disease (case finding), and (2) patients with prior evidence of obstructive lung disease (differential diagnosis). For these questionnaires, we now present a scoring system for use in primary care. Methods Scores for individual questions were based on the regression coefficients from logistic regression models using a spirometry-based diagnosis of obstruction as the reference outcome. Receiver operator characteristic analysis was used to determine performance characteristics for each questionnaire. Several simplified scoring systems were developed and tested. Results For both scenarios, we created a scoring system with two cut points intended to place subjects within one of three zones: persons with a high likelihood of having obstruction (high predictive value of a positive test result); persons with a low likelihood of obstruction (high predictive value of a negative test result); and an intermediate zone. Using these scoring systems, we achieved sensitivities of 54 to 82%, specificities of 58 to 88%, positive predictive values of 30 to 78%, and negative predictive values of 71 to 93%. Conclusions These questionnaires can be used to help identify persons likely to have COPD among specific risk groups. The use of a simplified scoring system makes these tools beneficial in the primary care setting. Used in conjunction with spirometry, these tools can help improve the efficiency and accuracy of COPD diagnosis in primary care. In most primary care settings, spirometric screening of all patients at risk is not practical. In prior work, we developed questionnaires to help identify COPD in two risk groups: (1) persons with a positive smoking history but no history of obstructive lung disease (case finding), and (2) patients with prior evidence of obstructive lung disease (differential diagnosis). For these questionnaires, we now present a scoring system for use in primary care. Scores for individual questions were based on the regression coefficients from logistic regression models using a spirometry-based diagnosis of obstruction as the reference outcome. Receiver operator characteristic analysis was used to determine performance characteristics for each questionnaire. Several simplified scoring systems were developed and tested. For both scenarios, we created a scoring system with two cut points intended to place subjects within one of three zones: persons with a high likelihood of having obstruction (high predictive value of a positive test result); persons with a low likelihood of obstruction (high predictive value of a negative test result); and an intermediate zone. Using these scoring systems, we achieved sensitivities of 54 to 82%, specificities of 58 to 88%, positive predictive values of 30 to 78%, and negative predictive values of 71 to 93%. These questionnaires can be used to help identify persons likely to have COPD among specific risk groups. The use of a simplified scoring system makes these tools beneficial in the primary care setting. Used in conjunction with spirometry, these tools can help improve the efficiency and accuracy of COPD diagnosis in primary care." @default.
• W2105398575 created "2016-06-24" @default.
• W2105398575 creator A5012494484 @default.
• W2105398575 creator A5015274357 @default.
• W2105398575 creator A5018395350 @default.
• W2105398575 creator A5052175038 @default.
• W2105398575 creator A5076874574 @default.
• W2105398575 date "2006-06-01" @default.
• W2105398575 modified "2023-10-02" @default.
• W2105398575 title "Scoring System and Clinical Application of COPD Diagnostic Questionnaires" @default.
• W2105398575 cites W1974010676 @default.
• W2105398575 cites W2007577638 @default.
• W2105398575 cites W2031288915 @default.
• W2105398575 cites W2032365636 @default.
• W2105398575 cites W2033293999 @default.
• W2105398575 cites W2036061743 @default.
• W2105398575 cites W2072878220 @default.
• W2105398575 cites W2087219668 @default.
• W2105398575 cites W2109685586 @default.
• W2105398575 cites W2127500894 @default.
• W2105398575 cites W2137953499 @default.
• W2105398575 cites W2143419037 @default.
• W2105398575 cites W2153516163 @default.
• W2105398575 cites W2157522518 @default.
• W2105398575 cites W2165632034 @default.
• W2105398575 doi "https://doi.org/10.1378/chest.129.6.1531" @default.
• W2105398575 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16778271" @default.
• W2105398575 hasPublicationYear "2006" @default.
• W2105398575 type Work @default.
• W2105398575 sameAs 2105398575 @default.
• W2105398575 citedByCount "156" @default.
• W2105398575 countsByYear W21053985752012 @default.
• W2105398575 countsByYear W21053985752013 @default.
• W2105398575 countsByYear W21053985752014 @default.
• W2105398575 countsByYear W21053985752015 @default.
• W2105398575 countsByYear W21053985752016 @default.
• W2105398575 countsByYear W21053985752017 @default.
• W2105398575 countsByYear W21053985752018 @default.
• W2105398575 countsByYear W21053985752019 @default.
• W2105398575 countsByYear W21053985752020 @default.
• W2105398575 countsByYear W21053985752021 @default.
• W2105398575 countsByYear W21053985752022 @default.
• W2105398575 countsByYear W21053985752023 @default.
• W2105398575 crossrefType "journal-article" @default.
• W2105398575 hasAuthorship W2105398575A5012494484 @default.
• W2105398575 hasAuthorship W2105398575A5015274357 @default.
• W2105398575 hasAuthorship W2105398575A5018395350 @default.
• W2105398575 hasAuthorship W2105398575A5052175038 @default.
• W2105398575 hasAuthorship W2105398575A5076874574 @default.
• W2105398575 hasConcept C126322002 @default.
• W2105398575 hasConcept C151956035 @default.
• W2105398575 hasConcept C1862650 @default.
• W2105398575 hasConcept C198433322 @default.
• W2105398575 hasConcept C2776042228 @default.
• W2105398575 hasConcept C2776780178 @default.
• W2105398575 hasConcept C2779134260 @default.
• W2105398575 hasConcept C2780333948 @default.
• W2105398575 hasConcept C3019719930 @default.
• W2105398575 hasConcept C71924100 @default.
• W2105398575 hasConceptScore W2105398575C126322002 @default.
• W2105398575 hasConceptScore W2105398575C151956035 @default.
• W2105398575 hasConceptScore W2105398575C1862650 @default.
• W2105398575 hasConceptScore W2105398575C198433322 @default.
• W2105398575 hasConceptScore W2105398575C2776042228 @default.
• W2105398575 hasConceptScore W2105398575C2776780178 @default.
• W2105398575 hasConceptScore W2105398575C2779134260 @default.
• W2105398575 hasConceptScore W2105398575C2780333948 @default.
• W2105398575 hasConceptScore W2105398575C3019719930 @default.
• W2105398575 hasConceptScore W2105398575C71924100 @default.
• W2105398575 hasIssue "6" @default.
• W2105398575 hasLocation W21053985751 @default.
• W2105398575 hasLocation W21053985752 @default.
• W2105398575 hasOpenAccess W2105398575 @default.
• W2105398575 hasPrimaryLocation W21053985751 @default.
• W2105398575 hasRelatedWork W1823966973 @default.
• W2105398575 hasRelatedWork W2015028963 @default.
• W2105398575 hasRelatedWork W2794757471 @default.
• W2105398575 hasRelatedWork W2912911018 @default.
• W2105398575 hasRelatedWork W2990800343 @default.
• W2105398575 hasRelatedWork W3036202486 @default.
• W2105398575 hasRelatedWork W3118864522 @default.
• W2105398575 hasRelatedWork W3153429276 @default.
• W2105398575 hasRelatedWork W3217079356 @default.
• W2105398575 hasRelatedWork W2883687928 @default.
• W2105398575 hasVolume "129" @default.
• W2105398575 isParatext "false" @default.
• W2105398575 isRetracted "false" @default.
• W2105398575 magId "2105398575" @default.
• W2105398575 workType "article" @default.