PMC:7601109 / 84496-84747 JSONTXT

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T142","span":{"begin":55,"end":65},"obj":"Disease"}],"attributes":[{"id":"A142","pred":"mondo_id","subj":"T142","obj":"http://purl.obolibrary.org/obo/MONDO_0006516"}],"text":"Future RCTs that examine the effect of bee products on sarcopenia should consider individual variations (e.g., gender, general health, activity level, diet, etc.) and combine functional and subjective outcome measures with sound predictive biomarkers."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T1484","span":{"begin":135,"end":143},"obj":"http://purl.obolibrary.org/obo/CLO_0001658"}],"text":"Future RCTs that examine the effect of bee products on sarcopenia should consider individual variations (e.g., gender, general health, activity level, diet, etc.) and combine functional and subjective outcome measures with sound predictive biomarkers."}

{"project":"LitCovid-sentences","denotations":[{"id":"T498","span":{"begin":0,"end":251},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Future RCTs that examine the effect of bee products on sarcopenia should consider individual variations (e.g., gender, general health, activity level, diet, etc.) and combine functional and subjective outcome measures with sound predictive biomarkers."}

{"project":"LitCovid-PubTator","denotations":[{"id":"1863","span":{"begin":55,"end":65},"obj":"Disease"}],"attributes":[{"id":"A1863","pred":"tao:has_database_id","subj":"1863","obj":"MESH:D055948"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"Future RCTs that examine the effect of bee products on sarcopenia should consider individual variations (e.g., gender, general health, activity level, diet, etc.) and combine functional and subjective outcome measures with sound predictive biomarkers."}