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Gates A, Gates M, Sim S, et al. Creating Efficiencies in the Extraction of Data From Randomized Trials: A Prospective Evaluation of a Machine Learning and Text Mining Tool [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2021 Aug.
Creating Efficiencies in the Extraction of Data From Randomized Trials: A Prospective Evaluation of a Machine Learning and Text Mining Tool [Internet].
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| 1 | After a 7-day washout period when participants received Peptamen 1.5 with their usual dose of PERT products but without digestive cartridge, participants crossed over and received EN through the opposite cartridge (placebo or digestive cartridge). |
| 2 | Participants were randomized to first receive EN through either digestive cartridge or placebo cartridge. |
| 3 | Increased Fat Absorption From Enteral Formula Through an In-line Digestive Cartridge in Patients With Cystic Fibrosis |
| 4 | Patients with CF receiving EN participated in a multicenter, randomized, double-blind, crossover trial with an open-label safety evaluation period. |
| 5 | Efficacy data were analyzed using differences in the plasma FA concentrations for 24 hours after a single EN feeding administered through either digestive cartridge or placebo cartridge. |
- [Table, Example of a fully relevant fragment in a relevant sentence (Freedman 20...[Table, Example of a fully relevant fragment in a relevant sentence (Freedman 2017)]. - Creating Efficiencies in the Extraction of Data From Randomized Trials: A Prospective Evaluation of a Machine Learning and Text Mining Tool
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