FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310920797> ?p ?o ?g. }

• W4310920797 endingPage "124" @default.
• W4310920797 startingPage "110" @default.
• W4310920797 abstract "Background Lung volume reduction surgery (LVRS) and medical therapy are 2 available treatment options in dealing with severe emphysema, which is a chronic lung disease. However, or there are currently limited guidelines on the timing of LVRS for patients with different characteristics. Objective The objective of this study is to assess the timing of receiving LVRS in terms of patient outcomes, taking into consideration a patient’s characteristics. Methods A finite-horizon Markov decision process model for patients with severe emphysema was developed to determine the short-term (5 y) and long-term timing of emphysema treatment. Maximizing the expected life expectancy, expected quality-adjusted life-years, and total expected cost of each treatment option were applied as the objective functions of the model. To estimate parameters in the model, the data provided by the National Emphysema Treatment Trial were used. Results The results indicate that the treatment timing strategy for patients with upper-lobe predominant emphysema is to receive LVRS regardless of their specific characteristics. However, for patients with non–upper-lobe–predominant emphysema, the optimal strategy depends on the age, maximum workload level, and forced expiratory volume in 1 second level. Conclusion This study demonstrates the utilization of clinical trial data to gain insights into the timing of surgical treatment for patients with emphysema, considering patient age, observable health condition, and location of emphysema. Highlights Both short-term and long-term Markov decision process models were developed to assess the timing of receiving lung volume reduction surgery in patients with severe emphysema. How clinical trial data can be used to estimate the parameters and obtain short-term results from the Markov decision process model is demonstrated. The results provide insights into the timing of receiving lung volume reduction surgery as a function of a patient’s characteristics, including age, emphysema location, maximum workload, and forced expiratory volume in 1 second level." @default.
• W4310920797 created "2022-12-21" @default.
• W4310920797 creator A5015925945 @default.
• W4310920797 creator A5016729497 @default.
• W4310920797 creator A5052240317 @default.
• W4310920797 creator A5090508593 @default.
• W4310920797 date "2022-12-09" @default.
• W4310920797 modified "2023-09-27" @default.
• W4310920797 title "Utilizing Clinical Trial Data to Assess Timing of Surgical Treatment for Emphysema Patients" @default.
• W4310920797 cites W1260603299 @default.
• W4310920797 cites W1986345594 @default.
• W4310920797 cites W1993051606 @default.
• W4310920797 cites W1993522535 @default.
• W4310920797 cites W1998115528 @default.
• W4310920797 cites W2011878094 @default.
• W4310920797 cites W2019456689 @default.
• W4310920797 cites W2020129240 @default.
• W4310920797 cites W2025629883 @default.
• W4310920797 cites W2030051212 @default.
• W4310920797 cites W2036336974 @default.
• W4310920797 cites W2049132040 @default.
• W4310920797 cites W2081089937 @default.
• W4310920797 cites W2098544640 @default.
• W4310920797 cites W2113632283 @default.
• W4310920797 cites W2126229470 @default.
• W4310920797 cites W2156458610 @default.
• W4310920797 cites W2156823014 @default.
• W4310920797 cites W2168041367 @default.
• W4310920797 cites W2377410957 @default.
• W4310920797 cites W2410295786 @default.
• W4310920797 cites W2524772880 @default.
• W4310920797 cites W2592893595 @default.
• W4310920797 cites W2891679348 @default.
• W4310920797 cites W4253599671 @default.
• W4310920797 cites W4254501714 @default.
• W4310920797 cites W570994583 @default.
• W4310920797 doi "https://doi.org/10.1177/0272989x221132256" @default.
• W4310920797 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36484571" @default.
• W4310920797 hasPublicationYear "2022" @default.
• W4310920797 type Work @default.
• W4310920797 citedByCount "0" @default.
• W4310920797 crossrefType "journal-article" @default.
• W4310920797 hasAuthorship W4310920797A5015925945 @default.
• W4310920797 hasAuthorship W4310920797A5016729497 @default.
• W4310920797 hasAuthorship W4310920797A5052240317 @default.
• W4310920797 hasAuthorship W4310920797A5090508593 @default.
• W4310920797 hasConcept C126322002 @default.
• W4310920797 hasConcept C141071460 @default.
• W4310920797 hasConcept C159110408 @default.
• W4310920797 hasConcept C27101514 @default.
• W4310920797 hasConcept C2775982285 @default.
• W4310920797 hasConcept C2777714996 @default.
• W4310920797 hasConcept C2779951463 @default.
• W4310920797 hasConcept C535046627 @default.
• W4310920797 hasConcept C71924100 @default.
• W4310920797 hasConceptScore W4310920797C126322002 @default.
• W4310920797 hasConceptScore W4310920797C141071460 @default.
• W4310920797 hasConceptScore W4310920797C159110408 @default.
• W4310920797 hasConceptScore W4310920797C27101514 @default.
• W4310920797 hasConceptScore W4310920797C2775982285 @default.
• W4310920797 hasConceptScore W4310920797C2777714996 @default.
• W4310920797 hasConceptScore W4310920797C2779951463 @default.
• W4310920797 hasConceptScore W4310920797C535046627 @default.
• W4310920797 hasConceptScore W4310920797C71924100 @default.
• W4310920797 hasIssue "1" @default.
• W4310920797 hasLocation W43109207971 @default.
• W4310920797 hasLocation W43109207972 @default.
• W4310920797 hasOpenAccess W4310920797 @default.
• W4310920797 hasPrimaryLocation W43109207971 @default.
• W4310920797 hasRelatedWork W1967667622 @default.
• W4310920797 hasRelatedWork W1973504796 @default.
• W4310920797 hasRelatedWork W2002120878 @default.
• W4310920797 hasRelatedWork W2003938723 @default.
• W4310920797 hasRelatedWork W2047967234 @default.
• W4310920797 hasRelatedWork W2071160309 @default.
• W4310920797 hasRelatedWork W2302584724 @default.
• W4310920797 hasRelatedWork W2439875401 @default.
• W4310920797 hasRelatedWork W3045670792 @default.
• W4310920797 hasRelatedWork W2183411988 @default.
• W4310920797 hasVolume "43" @default.
• W4310920797 isParatext "false" @default.
• W4310920797 isRetracted "false" @default.
• W4310920797 workType "article" @default.