PMC:7103696 / 5486-9144
Annnotations
LitCovid-PD-UBERON
| Id | Subject | Object | Predicate | Lexical cue | uberon_id |
|---|---|---|---|---|---|
| T12 | 720-725 | Body_part | denotes | scale | http://purl.obolibrary.org/obo/UBERON_0002542 |
| T13 | 1406-1411 | Body_part | denotes | scale | http://purl.obolibrary.org/obo/UBERON_0002542 |
| T14 | 1472-1477 | Body_part | denotes | scale | http://purl.obolibrary.org/obo/UBERON_0002542 |
| T15 | 1755-1760 | Body_part | denotes | scale | http://purl.obolibrary.org/obo/UBERON_0002542 |
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T30 | 82-90 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T31 | 162-170 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T32 | 1190-1203 | Disease | denotes | viral disease | http://purl.obolibrary.org/obo/MONDO_0005108 |
| T33 | 1905-1913 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T34 | 3256-3266 | Disease | denotes | infectious | http://purl.obolibrary.org/obo/MONDO_0005550 |
| T35 | 3281-3285 | Disease | denotes | SARS | http://purl.obolibrary.org/obo/MONDO_0005091 |
| T36 | 3290-3299 | Disease | denotes | influenza | http://purl.obolibrary.org/obo/MONDO_0005812 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T51 | 23-24 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T52 | 295-300 | http://purl.obolibrary.org/obo/NCBITaxon_10239 | denotes | virus |
| T53 | 342-351 | http://purl.obolibrary.org/obo/OBI_0000245 | denotes | organized |
| T54 | 766-767 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T55 | 936-948 | http://purl.obolibrary.org/obo/OBI_0000245 | denotes | Organization |
| T56 | 955-958 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
| T57 | 1024-1027 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
| T58 | 1047-1048 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
| T59 | 1157-1162 | http://purl.obolibrary.org/obo/UBERON_0001456 | denotes | faced |
| T60 | 1171-1172 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T61 | 1205-1212 | http://purl.obolibrary.org/obo/UBERON_0000473 | denotes | testing |
| T62 | 1346-1351 | http://purl.obolibrary.org/obo/UBERON_0000473 | denotes | tests |
| T63 | 1438-1439 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T64 | 1808-1809 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T65 | 1934-1937 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
| T66 | 2277-2278 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T67 | 2328-2329 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T68 | 2461-2468 | http://purl.obolibrary.org/obo/UBERON_0000473 | denotes | testing |
| T69 | 2529-2536 | http://purl.obolibrary.org/obo/UBERON_0000473 | denotes | testing |
| T70 | 2686-2687 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T71 | 2968-2969 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T72 | 3000-3003 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
| T73 | 3330-3333 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
| T74 | 3341-3342 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T75 | 3575-3576 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-PD-CHEBI
| Id | Subject | Object | Predicate | Lexical cue | chebi_id |
|---|---|---|---|---|---|
| T13 | 19-21 | Chemical | denotes | Lu | http://purl.obolibrary.org/obo/CHEBI_33382 |
| T14 | 67-72 | Chemical | denotes | drugs | http://purl.obolibrary.org/obo/CHEBI_23888 |
| T15 | 387-392 | Chemical | denotes | drugs | http://purl.obolibrary.org/obo/CHEBI_23888 |
| T16 | 403-410 | Chemical | denotes | Kaletra | http://purl.obolibrary.org/obo/CHEBI_145924 |
| T17 | 446-457 | Chemical | denotes | Chloroquine | http://purl.obolibrary.org/obo/CHEBI_3638 |
| T18 | 464-473 | Chemical | denotes | Darunavir | http://purl.obolibrary.org/obo/CHEBI_367163 |
| T19 | 609-614 | Chemical | denotes | drugs | http://purl.obolibrary.org/obo/CHEBI_23888 |
| T20 | 793-804 | Chemical | denotes | Chloroquine | http://purl.obolibrary.org/obo/CHEBI_3638 |
| T21 | 1213-1218 | Chemical | denotes | drugs | http://purl.obolibrary.org/obo/CHEBI_23888 |
| T22 | 1276-1281 | Chemical | denotes | drugs | http://purl.obolibrary.org/obo/CHEBI_23888 |
| T23 | 1380-1382 | Chemical | denotes | II | http://purl.obolibrary.org/obo/CHEBI_74067 |
| T24 | 1511-1513 | Chemical | denotes | II | http://purl.obolibrary.org/obo/CHEBI_74067 |
| T25 | 1996-2001 | Chemical | denotes | drugs | http://purl.obolibrary.org/obo/CHEBI_23888 |
| T26 | 2304-2309 | Chemical | denotes | group | http://purl.obolibrary.org/obo/CHEBI_24433 |
| T27 | 2402-2407 | Chemical | denotes | group | http://purl.obolibrary.org/obo/CHEBI_24433 |
| T28 | 2469-2473 | Chemical | denotes | drug | http://purl.obolibrary.org/obo/CHEBI_23888 |
| T29 | 2494-2499 | Chemical | denotes | group | http://purl.obolibrary.org/obo/CHEBI_24433 |
| T30 | 2923-2931 | Chemical | denotes | medicine | http://purl.obolibrary.org/obo/CHEBI_23888 |
| T31 | 2952-2960 | Chemical | denotes | medicine | http://purl.obolibrary.org/obo/CHEBI_23888 |
| T32 | 3321-3329 | Chemical | denotes | medicine | http://purl.obolibrary.org/obo/CHEBI_23888 |
| T33 | 3491-3499 | Chemical | denotes | medicine | http://purl.obolibrary.org/obo/CHEBI_23888 |
| T34 | 3627-3635 | Chemical | denotes | medicine | http://purl.obolibrary.org/obo/CHEBI_23888 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T47 | 0-97 | Sentence | denotes | Professor Hongzhou Lu (a leader in China to try various anti-viral drugs to treat COVID-19 cases) |
| T48 | 98-301 | Sentence | denotes | Considering the clinical and epidemiological characteristics of COVID-19, the possible effective medications are in dire need to improve the prognosis of the patients and to stem the spread of the virus. |
| T49 | 302-532 | Sentence | denotes | More than 200 clinical trials have been organized mainly for the study of anti-viral drugs including Kaletra, Remdesivir, Arbidol, Favipiravir, Chloroquine, HCQ, Darunavir, Lianhua Qingwen Granules and Shuanghuanglian Oral Liquid. |
| T50 | 533-679 | Sentence | denotes | While the clinicians are enthusiastic about exploring the efficacy of these drugs, these trials are subject to all kinds of practical limitations. |
| T51 | 680-751 | Sentence | denotes | The majority of the trials are small in scale and repetitive in nature. |
| T52 | 752-827 | Sentence | denotes | For instance, a dozen clinical trials on Chloroquine have been carried out. |
| T53 | 828-918 | Sentence | denotes | Furthermore, due to the difference in design methodology, contradictory results may arise. |
| T54 | 919-1046 | Sentence | denotes | The World Health Organization (WHO) has shown deep concern over the quality of these clinical trials and has provided guidance. |
| T55 | 1047-1127 | Sentence | denotes | A multitude of domestic experts also contributed their wisdom in different ways. |
| T56 | 1129-1144 | Sentence | denotes | Research design |
| T57 | 1145-1314 | Sentence | denotes | What we are faced with is a newly discovered viral disease, testing drugs are selected mainly based on the past experience of such drugs treating other related diseases. |
| T58 | 1315-1352 | Sentence | denotes | Some of them only had in vitro tests. |
| T59 | 1353-1399 | Sentence | denotes | Some hasn’t finished Phase II clinical trials. |
| T60 | 1400-1450 | Sentence | denotes | Large-scale clinical trials will take a long time. |
| T61 | 1451-1665 | Sentence | denotes | Therefore, the small-scale clinical trials, including Phase II clinical trials, are currently given priority to, in which case, its effect, proper dosage, the medication and adverse reaction are initially verified. |
| T62 | 1666-1794 | Sentence | denotes | Those possibly effective and relatively safe medications can be coordinated to the large-scale and multi-centre clinical trials. |
| T63 | 1795-1848 | Sentence | denotes | In this way, a bulk of repetitive trials are avoided. |
| T64 | 1849-2064 | Sentence | denotes | Another reality situation is the fact that the National COVID-19 Treatment Guideline has been updated quite urgently to include possibly effective drugs and experts are continuously offering new medical suggestions. |
| T65 | 2065-2273 | Sentence | denotes | Therefore, the medical workers in clinical trials usually take consideration of national guideline and expert opinion, while carrying out the trial under the premise that the normal treatment is not affected. |
| T66 | 2274-2364 | Sentence | denotes | As a result, the intervention group may be covered by a variety of anti-viral medications. |
| T67 | 2365-2500 | Sentence | denotes | It is difficult to leave the control group blank in order to confirm the absolute effect of the testing drug in the intervention group. |
| T68 | 2501-2567 | Sentence | denotes | The specific effects of the testing medication cannot be verified. |
| T69 | 2568-2756 | Sentence | denotes | In this case, the current clinical studies are not as rigorous as the traditional clinical trials, but they help draw a quick initial result which can help with the following study design. |
| T70 | 2757-2901 | Sentence | denotes | It is of vital importance to motivate the quick publication of clinical trial results, which can contribute significantly to clinical treatment. |
| T71 | 2903-2931 | Sentence | denotes | Traditional Chinese medicine |
| T72 | 2932-3043 | Sentence | denotes | Traditional Chinese medicine, after a long history of clinical use, has carved out its own theory and practice. |
| T73 | 3044-3360 | Sentence | denotes | The most typical ones are the “Doctrine of Shanghai” (febrile diseases caused by exogenous pathogenic factors) and the “Doctrine of Seasonal Febrile Diseases.” In the diagnosis and treatment of acute respiratory infectious diseases like SARS and influenza, traditional Chinese medicine has played a significant role. |
| T74 | 3361-3478 | Sentence | denotes | But its treatment determination is based on “Syndrome Differentiation,” in which case, individual plans are produced. |
| T75 | 3479-3558 | Sentence | denotes | The Chinese medicine formulae are typical of complicated chemical compositions. |
| T76 | 3559-3658 | Sentence | denotes | This means that a creative evaluation system of traditional Chinese medicine needs to be developed. |
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 115 | 82-90 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 127 | 256-264 | Species | denotes | patients | Tax:9606 |
| 128 | 403-410 | Chemical | denotes | Kaletra | MESH:C558899 |
| 129 | 412-422 | Chemical | denotes | Remdesivir | MESH:C000606551 |
| 130 | 424-431 | Chemical | denotes | Arbidol | MESH:C086979 |
| 131 | 433-444 | Chemical | denotes | Favipiravir | MESH:C462182 |
| 132 | 446-457 | Chemical | denotes | Chloroquine | MESH:D002738 |
| 133 | 459-462 | Chemical | denotes | HCQ | MESH:D006886 |
| 134 | 464-473 | Chemical | denotes | Darunavir | MESH:D000069454 |
| 135 | 793-804 | Chemical | denotes | Chloroquine | MESH:D002738 |
| 136 | 162-170 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 137 | 558-570 | Disease | denotes | enthusiastic | |
| 139 | 1190-1203 | Disease | denotes | viral disease | MESH:D001102 |
| 141 | 1905-1913 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 144 | 3176-3201 | Disease | denotes | Seasonal Febrile Diseases | MESH:D016574 |
| 145 | 3244-3275 | Disease | denotes | respiratory infectious diseases | MESH:D012141 |