The use of maoto (Ma-Huang-Tang), a traditional Japanese Kampo medicine, to alleviate flu symptoms: a systematic review and meta-analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Tetsuhiro Yoshino, Ryutaro Arita, Yuko Horiba, Kenji Watanabe

ABSTRACT

BACKGROUND: Influenza is a common viral infection worldwide. Maoto (ma-huang-tang) was developed in ancient China and is used to alleviate flu symptoms. Currently, no meta-analyses have evaluated the efficacy and safety of maoto for alleviating flu symptoms. METHODS: In the present study, we searched MEDLINE/PubMed, the Cochrane Central Register of Controlled Trials (CENTRAL), EMBASE, a Japanese database (Ichushi), two Chinese databases (China National Knowledge Infrastructure and VIP), and two Korean databases (Korean Medical database and Korean Association of Medical Journal Editors) for studies published in or before October 2017. Clinical studies that compared maoto plus neuraminidase inhibitors (NAIs) vs. NAIs alone, or maoto alone vs. NAIs alone, were included in the present analysis. The primary outcome measure (efficacy) was the length of time from the start of medication to resolution of influenza symptoms (fever, headache, malaise, myalgia, and chills) and virus isolation. The secondary outcome measures (safety) were as follows: (1) side effects and adverse reactions, such as nausea, abnormal behaviour, or discontinuation of symptomatic treatment; (2) morbidity (complications caused by influenza infection) or mortality; and (3) hospitalisation for any reason. RESULTS: Twelve relevant studies were identified, including two randomised controlled trials (RCTs, N = 60) and ten non-randomised studies (NRSs, N = 1110). We found that maoto plus NAIs was superior to NAIs alone in terms of the duration of fever in one RCT (P < 0.05, median difference = - 6 h) and four NRSs (P = 0.003, weighted mean difference = - 5.34 h). The duration of symptoms or virus isolation did not differ between maoto and NAIs. No severe side effects or adverse reactions were reported related to maoto or NAIs. CONCLUSIONS: Although we could not reach a definitive conclusion because of the small sample sizes and high risk of bias in the analysed studies, maoto may lower the duration of fever when it is used alone or in combination with NAIs and may be a well-tolerated treatment. More RCTs are needed to determine the efficacy and safety of maoto. More... »

PAGES

68

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12906-019-2474-z

DOI

http://dx.doi.org/10.1186/s12906-019-2474-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112856128

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30885188


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antiviral Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drugs, Chinese Herbal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Influenza, Human", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Medicine, Kampo", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Oregon State University", 
          "id": "https://www.grid.ac/institutes/grid.4391.f", 
          "name": [
            "Center for Kampo Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, 160-8582, Tokyo, Japan", 
            "Linus Pauling Institute, Oregon State University, Linus Pauling Science Center, Corvallis, OR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoshino", 
        "givenName": "Tetsuhiro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tohoku University", 
          "id": "https://www.grid.ac/institutes/grid.69566.3a", 
          "name": [
            "Center for Kampo Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, 160-8582, Tokyo, Japan", 
            "Department of Education and Support for Regional Medicine, Department of Kampo Medicine, Tohoku University School of Medicine, 1-1 Seiryo, Aoba-ku, Sendai, Miyagi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Arita", 
        "givenName": "Ryutaro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Center for Kampo Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, 160-8582, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Horiba", 
        "givenName": "Yuko", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Keio University", 
          "id": "https://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Center for Kampo Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, 160-8582, Tokyo, Japan", 
            "Faculty of Environment and Information Studies, Keio University, 5322 Endo, Fujisawa, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watanabe", 
        "givenName": "Kenji", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1159/000341547", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005288372"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.antiviral.2007.01.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008518945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3143/geriatrics.44.31", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014216330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/1516-3180.20141324t2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019004739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.phymed.2006.09.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024267375"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4236/health.2011.35052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024324310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.transproceed.2012.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025228439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/infdis/jiq012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029730812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.i4919", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031711389"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.i4919", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031711389"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/14651858.cd004559.pub4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037112181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0166-3542(99)00067-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037765092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/tkm2.1027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040896760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2014/187036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046129421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10156-012-0378-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046627210", 
          "https://doi.org/10.1007/s10156-012-0378-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.antiviral.2009.04.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050866501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1586/14787210.2015.981156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068079163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-155-4-201108160-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073712388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/tkm2.1064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083749138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2017/1062065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091294580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41540-017-0032-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092277074", 
          "https://doi.org/10.1038/s41540-017-0032-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.antiviral.2018.07.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105260262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1716197", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106678691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1716197", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106678691"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Influenza is a common viral infection worldwide. Maoto (ma-huang-tang) was developed in ancient China and is used to alleviate flu symptoms. Currently, no meta-analyses have evaluated the efficacy and safety of maoto for alleviating flu symptoms.\nMETHODS: In the present study, we searched MEDLINE/PubMed, the Cochrane Central Register of Controlled Trials (CENTRAL), EMBASE, a Japanese database (Ichushi), two Chinese databases (China National Knowledge Infrastructure and VIP), and two Korean databases (Korean Medical database and Korean Association of Medical Journal Editors) for studies published in or before October 2017. Clinical studies that compared maoto plus neuraminidase inhibitors (NAIs) vs. NAIs alone, or maoto alone vs. NAIs alone, were included in the present analysis. The primary outcome measure (efficacy) was the length of time from the start of medication to resolution of influenza symptoms (fever, headache, malaise, myalgia, and chills) and virus isolation. The secondary outcome measures (safety) were as follows: (1) side effects and adverse reactions, such as nausea, abnormal behaviour, or discontinuation of symptomatic treatment; (2) morbidity (complications caused by influenza infection) or mortality; and (3) hospitalisation for any reason.\nRESULTS: Twelve relevant studies were identified, including two randomised controlled trials (RCTs, N\u00a0=\u200960) and ten non-randomised studies (NRSs, N\u00a0=\u20091110). We found that maoto plus NAIs was superior to NAIs alone in terms of the duration of fever in one RCT (P\u00a0<\u20090.05, median difference\u2009=\u2009-\u20096\u2009h) and four NRSs (P\u00a0=\u20090.003, weighted mean difference\u2009=\u2009-\u20095.34\u2009h). The duration of symptoms or virus isolation did not differ between maoto and NAIs. No severe side effects or adverse reactions were reported related to maoto or NAIs.\nCONCLUSIONS: Although we could not reach a definitive conclusion because of the small sample sizes and high risk of bias in the analysed studies, maoto may lower the duration of fever when it is used alone or in combination with NAIs and may be a well-tolerated treatment. More RCTs are needed to determine the efficacy and safety of maoto.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12906-019-2474-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1028418", 
        "issn": [
          "1472-6882"
        ], 
        "name": "BMC Complementary and Alternative Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "19"
      }
    ], 
    "name": "The use of maoto (Ma-Huang-Tang), a traditional Japanese Kampo medicine, to alleviate flu symptoms: a systematic review and meta-analysis", 
    "pagination": "68", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b00eb087d6901ba8b6e90e92ab8e99c80ce935bf438dbe369838693ce0fa0033"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30885188"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101088661"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12906-019-2474-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112856128"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12906-019-2474-z", 
      "https://app.dimensions.ai/details/publication/pub.1112856128"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:03", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000371_0000000371/records_130831_00000006.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12906-019-2474-z"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12906-019-2474-z'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12906-019-2474-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12906-019-2474-z'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12906-019-2474-z'


 

This table displays all metadata directly associated to this object as RDF triples.

182 TRIPLES      21 PREDICATES      56 URIs      26 LITERALS      14 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12906-019-2474-z schema:about N1683627af63c44a293b0c209d4354ab3
2 N1c540d1964e64cf5adb723a7fd57350a
3 N61f881d272d3498a91384b7290306745
4 N7209d2c5ae544ff49254d99cd0793ca3
5 Nfb133082b40f48e58391a1356832bb46
6 anzsrc-for:11
7 anzsrc-for:1103
8 schema:author N7a1f75bc813146f98575b012dd42b0fc
9 schema:citation sg:pub.10.1007/s10156-012-0378-7
10 sg:pub.10.1038/s41540-017-0032-1
11 https://doi.org/10.1002/14651858.cd004559.pub4
12 https://doi.org/10.1002/tkm2.1027
13 https://doi.org/10.1002/tkm2.1064
14 https://doi.org/10.1016/j.antiviral.2007.01.003
15 https://doi.org/10.1016/j.antiviral.2009.04.012
16 https://doi.org/10.1016/j.antiviral.2018.07.001
17 https://doi.org/10.1016/j.phymed.2006.09.015
18 https://doi.org/10.1016/j.transproceed.2012.03.003
19 https://doi.org/10.1016/s0166-3542(99)00067-4
20 https://doi.org/10.1056/nejmoa1716197
21 https://doi.org/10.1093/infdis/jiq012
22 https://doi.org/10.1136/bmj.i4919
23 https://doi.org/10.1155/2014/187036
24 https://doi.org/10.1155/2017/1062065
25 https://doi.org/10.1159/000341547
26 https://doi.org/10.1586/14787210.2015.981156
27 https://doi.org/10.1590/1516-3180.20141324t2
28 https://doi.org/10.3143/geriatrics.44.31
29 https://doi.org/10.4236/health.2011.35052
30 https://doi.org/10.7326/0003-4819-155-4-201108160-00005
31 schema:datePublished 2019-12
32 schema:datePublishedReg 2019-12-01
33 schema:description BACKGROUND: Influenza is a common viral infection worldwide. Maoto (ma-huang-tang) was developed in ancient China and is used to alleviate flu symptoms. Currently, no meta-analyses have evaluated the efficacy and safety of maoto for alleviating flu symptoms. METHODS: In the present study, we searched MEDLINE/PubMed, the Cochrane Central Register of Controlled Trials (CENTRAL), EMBASE, a Japanese database (Ichushi), two Chinese databases (China National Knowledge Infrastructure and VIP), and two Korean databases (Korean Medical database and Korean Association of Medical Journal Editors) for studies published in or before October 2017. Clinical studies that compared maoto plus neuraminidase inhibitors (NAIs) vs. NAIs alone, or maoto alone vs. NAIs alone, were included in the present analysis. The primary outcome measure (efficacy) was the length of time from the start of medication to resolution of influenza symptoms (fever, headache, malaise, myalgia, and chills) and virus isolation. The secondary outcome measures (safety) were as follows: (1) side effects and adverse reactions, such as nausea, abnormal behaviour, or discontinuation of symptomatic treatment; (2) morbidity (complications caused by influenza infection) or mortality; and (3) hospitalisation for any reason. RESULTS: Twelve relevant studies were identified, including two randomised controlled trials (RCTs, N = 60) and ten non-randomised studies (NRSs, N = 1110). We found that maoto plus NAIs was superior to NAIs alone in terms of the duration of fever in one RCT (P < 0.05, median difference = - 6 h) and four NRSs (P = 0.003, weighted mean difference = - 5.34 h). The duration of symptoms or virus isolation did not differ between maoto and NAIs. No severe side effects or adverse reactions were reported related to maoto or NAIs. CONCLUSIONS: Although we could not reach a definitive conclusion because of the small sample sizes and high risk of bias in the analysed studies, maoto may lower the duration of fever when it is used alone or in combination with NAIs and may be a well-tolerated treatment. More RCTs are needed to determine the efficacy and safety of maoto.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree true
37 schema:isPartOf N5ce30e602c4249bb8eb93a0d6c9f3098
38 Nfc0006c088154ab58e93e633503354fb
39 sg:journal.1028418
40 schema:name The use of maoto (Ma-Huang-Tang), a traditional Japanese Kampo medicine, to alleviate flu symptoms: a systematic review and meta-analysis
41 schema:pagination 68
42 schema:productId N1013860f0ce442b399230f6032fd3d43
43 N13755050760b4ce2a7e65f805ba49947
44 N288ab60729874854bce0f33f2a514c38
45 N3a43bb4a4ca64e9bad406023e93b884a
46 N6b3e379fe6904fa0850ad57ab6d86fd5
47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112856128
48 https://doi.org/10.1186/s12906-019-2474-z
49 schema:sdDatePublished 2019-04-11T14:03
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher Ncd8ee63031f0479daf1ffc3ec4d112cc
52 schema:url https://link.springer.com/10.1186%2Fs12906-019-2474-z
53 sgo:license sg:explorer/license/
54 sgo:sdDataset articles
55 rdf:type schema:ScholarlyArticle
56 N0a8ccdaaf20840e2b427db0d5210df11 schema:affiliation https://www.grid.ac/institutes/grid.4391.f
57 schema:familyName Yoshino
58 schema:givenName Tetsuhiro
59 rdf:type schema:Person
60 N0da7741374f84b30bb1097f95aba93b3 rdf:first Nd524c1529960420aa5f67216623fb14b
61 rdf:rest Nca5f1eb4e19748b8b68b081ce917c3fe
62 N1013860f0ce442b399230f6032fd3d43 schema:name pubmed_id
63 schema:value 30885188
64 rdf:type schema:PropertyValue
65 N13755050760b4ce2a7e65f805ba49947 schema:name doi
66 schema:value 10.1186/s12906-019-2474-z
67 rdf:type schema:PropertyValue
68 N1683627af63c44a293b0c209d4354ab3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Influenza, Human
70 rdf:type schema:DefinedTerm
71 N1c540d1964e64cf5adb723a7fd57350a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Drugs, Chinese Herbal
73 rdf:type schema:DefinedTerm
74 N288ab60729874854bce0f33f2a514c38 schema:name readcube_id
75 schema:value b00eb087d6901ba8b6e90e92ab8e99c80ce935bf438dbe369838693ce0fa0033
76 rdf:type schema:PropertyValue
77 N3a43bb4a4ca64e9bad406023e93b884a schema:name nlm_unique_id
78 schema:value 101088661
79 rdf:type schema:PropertyValue
80 N5ce30e602c4249bb8eb93a0d6c9f3098 schema:issueNumber 1
81 rdf:type schema:PublicationIssue
82 N607fdf7d0a7541ec9c80f40c2ac09766 schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
83 schema:familyName Watanabe
84 schema:givenName Kenji
85 rdf:type schema:Person
86 N61f881d272d3498a91384b7290306745 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Humans
88 rdf:type schema:DefinedTerm
89 N6b3e379fe6904fa0850ad57ab6d86fd5 schema:name dimensions_id
90 schema:value pub.1112856128
91 rdf:type schema:PropertyValue
92 N70d9d0f92fef45dc9463f46172aa2204 rdf:first Nd8a839a4d540498d83407bca35dcdd95
93 rdf:rest N0da7741374f84b30bb1097f95aba93b3
94 N7209d2c5ae544ff49254d99cd0793ca3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Antiviral Agents
96 rdf:type schema:DefinedTerm
97 N7a1f75bc813146f98575b012dd42b0fc rdf:first N0a8ccdaaf20840e2b427db0d5210df11
98 rdf:rest N70d9d0f92fef45dc9463f46172aa2204
99 Nca5f1eb4e19748b8b68b081ce917c3fe rdf:first N607fdf7d0a7541ec9c80f40c2ac09766
100 rdf:rest rdf:nil
101 Ncd8ee63031f0479daf1ffc3ec4d112cc schema:name Springer Nature - SN SciGraph project
102 rdf:type schema:Organization
103 Nd524c1529960420aa5f67216623fb14b schema:affiliation https://www.grid.ac/institutes/grid.26091.3c
104 schema:familyName Horiba
105 schema:givenName Yuko
106 rdf:type schema:Person
107 Nd8a839a4d540498d83407bca35dcdd95 schema:affiliation https://www.grid.ac/institutes/grid.69566.3a
108 schema:familyName Arita
109 schema:givenName Ryutaro
110 rdf:type schema:Person
111 Nfb133082b40f48e58391a1356832bb46 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Medicine, Kampo
113 rdf:type schema:DefinedTerm
114 Nfc0006c088154ab58e93e633503354fb schema:volumeNumber 19
115 rdf:type schema:PublicationVolume
116 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
117 schema:name Medical and Health Sciences
118 rdf:type schema:DefinedTerm
119 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
120 schema:name Clinical Sciences
121 rdf:type schema:DefinedTerm
122 sg:journal.1028418 schema:issn 1472-6882
123 schema:name BMC Complementary and Alternative Medicine
124 rdf:type schema:Periodical
125 sg:pub.10.1007/s10156-012-0378-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046627210
126 https://doi.org/10.1007/s10156-012-0378-7
127 rdf:type schema:CreativeWork
128 sg:pub.10.1038/s41540-017-0032-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092277074
129 https://doi.org/10.1038/s41540-017-0032-1
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1002/14651858.cd004559.pub4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037112181
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1002/tkm2.1027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040896760
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1002/tkm2.1064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083749138
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.antiviral.2007.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008518945
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.antiviral.2009.04.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050866501
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.antiviral.2018.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105260262
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.phymed.2006.09.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024267375
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/j.transproceed.2012.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025228439
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/s0166-3542(99)00067-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037765092
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1056/nejmoa1716197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106678691
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1093/infdis/jiq012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029730812
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1136/bmj.i4919 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031711389
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1155/2014/187036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046129421
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1155/2017/1062065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091294580
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1159/000341547 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005288372
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1586/14787210.2015.981156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068079163
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1590/1516-3180.20141324t2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019004739
164 rdf:type schema:CreativeWork
165 https://doi.org/10.3143/geriatrics.44.31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014216330
166 rdf:type schema:CreativeWork
167 https://doi.org/10.4236/health.2011.35052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024324310
168 rdf:type schema:CreativeWork
169 https://doi.org/10.7326/0003-4819-155-4-201108160-00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073712388
170 rdf:type schema:CreativeWork
171 https://www.grid.ac/institutes/grid.26091.3c schema:alternateName Keio University
172 schema:name Center for Kampo Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, 160-8582, Tokyo, Japan
173 Faculty of Environment and Information Studies, Keio University, 5322 Endo, Fujisawa, Kanagawa, Japan
174 rdf:type schema:Organization
175 https://www.grid.ac/institutes/grid.4391.f schema:alternateName Oregon State University
176 schema:name Center for Kampo Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, 160-8582, Tokyo, Japan
177 Linus Pauling Institute, Oregon State University, Linus Pauling Science Center, Corvallis, OR, USA
178 rdf:type schema:Organization
179 https://www.grid.ac/institutes/grid.69566.3a schema:alternateName Tohoku University
180 schema:name Center for Kampo Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, 160-8582, Tokyo, Japan
181 Department of Education and Support for Regional Medicine, Department of Kampo Medicine, Tohoku University School of Medicine, 1-1 Seiryo, Aoba-ku, Sendai, Miyagi, Japan
182 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...