Comparison of vascular responses after different types of second-generation drug-eluting stents implantation detected by optical coherence tomography View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-02

AUTHORS

Hirofumi Ohtani, Shigeki Kimura, Tomoyo Sugiyama, Keiichi Hishikari, Toru Misawa, Masafumi Mizusawa, Kazuto Hayasaka, Yosuke Yamakami, Keisuke Kojima, Yuichiro Sagawa, Hiroyuki Hikita, Takashi Ashikaga, Atsushi Takahashi, Mitsuaki Isobe

ABSTRACT

Few studies have directly compared vascular responses to second-generation drug-eluting stents (DESs). We performed optical coherence tomography examinations in 56 consecutive patients with implanted single stent [19 cobalt-chromium everolimus-eluting stents (CoCr-EES), 22 platinum-chromium EES (PtCr-EES), and 15 resolute zotarolimus-eluting stents (R-ZES)] for de novo lesions, and who did not have restenosis at their 9-month follow-up. Neointimal thickness (NIT), stent apposition, and neointimal coverage were assessed in every strut. A neointimal unevenness score [(NUS), maximum NIT/average NIT in the same cross-section] was determined for every 1-mm cross-section (CS). A total of 8350 struts and 1159 CSs were analyzed. The CoCr- and PtCr-EES had significantly fewer malapposed struts compared to the R-ZES (CoCr-EES: 0.19 % vs. PtCr-EES: 0.19 % vs. R-ZES: 0.61 %, p = 0.007). Furthermore, the PtCr-EES had a lower frequency of uncovered struts compared to the others (CoCr-EES: 2.0 % vs. PtCr-EES: 1.4 % vs. R-ZES: 2.3 %, p = 0.047). The NUS correlated with the frequency of uncovered struts (p < 0.001, r = 0.54). The EESs demonstrated more homogenous neointimal growth, as shown in the NUS, compared to the R-ZES [CoCr-EES: 1.66 (1.38-1.97) vs. PtCr-EES: 1.67 (1.41-2.00) vs. R-ZES: 1.94 (1.56-2.28), p < 0.001]. Our results demonstrate that unevenness neointimal growth may relate with strut coverage after second-generation DES implantation. The PtCr-EES had a high frequency of strut coverage with a homogeneous neointima, suggesting fewer risks for stent thrombosis. More... »

PAGES

177-186

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10554-016-1001-2

DOI

http://dx.doi.org/10.1007/s10554-016-1001-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020996970

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27761750


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/2008/0903", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biomedical Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cardiovascular Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Artery Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Vessels", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug-Eluting Stents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Everolimus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neointima", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Percutaneous Coronary Intervention", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prosthesis Design", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sirolimus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, Optical Coherence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Yokosuka Kyosai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417369.e", 
          "name": [
            "Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ohtani", 
        "givenName": "Hirofumi", 
        "id": "sg:person.01112057133.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112057133.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yokosuka Kyosai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417369.e", 
          "name": [
            "Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kimura", 
        "givenName": "Shigeki", 
        "id": "sg:person.01175123731.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175123731.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yokosuka Kyosai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417369.e", 
          "name": [
            "Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sugiyama", 
        "givenName": "Tomoyo", 
        "id": "sg:person.0663530316.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663530316.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yokosuka Kyosai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417369.e", 
          "name": [
            "Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hishikari", 
        "givenName": "Keiichi", 
        "id": "sg:person.01067016773.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067016773.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yokosuka Kyosai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417369.e", 
          "name": [
            "Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Misawa", 
        "givenName": "Toru", 
        "id": "sg:person.013215777235.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013215777235.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yokosuka Kyosai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417369.e", 
          "name": [
            "Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mizusawa", 
        "givenName": "Masafumi", 
        "id": "sg:person.014013357635.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014013357635.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yokosuka Kyosai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417369.e", 
          "name": [
            "Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hayasaka", 
        "givenName": "Kazuto", 
        "id": "sg:person.014610740235.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014610740235.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yokosuka Kyosai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417369.e", 
          "name": [
            "Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamakami", 
        "givenName": "Yosuke", 
        "id": "sg:person.0632406636.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632406636.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yokosuka Kyosai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417369.e", 
          "name": [
            "Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kojima", 
        "givenName": "Keisuke", 
        "id": "sg:person.0704441134.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704441134.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yokosuka Kyosai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417369.e", 
          "name": [
            "Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sagawa", 
        "givenName": "Yuichiro", 
        "id": "sg:person.0746635236.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746635236.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yokosuka Kyosai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417369.e", 
          "name": [
            "Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hikita", 
        "givenName": "Hiroyuki", 
        "id": "sg:person.01243237131.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243237131.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Medical and Dental University", 
          "id": "https://www.grid.ac/institutes/grid.265073.5", 
          "name": [
            "Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ashikaga", 
        "givenName": "Takashi", 
        "id": "sg:person.01341503750.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341503750.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yokosuka Kyosai Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417369.e", 
          "name": [
            "Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takahashi", 
        "givenName": "Atsushi", 
        "id": "sg:person.07723105632.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07723105632.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Medical and Dental University", 
          "id": "https://www.grid.ac/institutes/grid.265073.5", 
          "name": [
            "Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Isobe", 
        "givenName": "Mitsuaki", 
        "id": "sg:person.01266743300.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266743300.99"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1253/circj.cj-13-1540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000122433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/hc3101.092214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006625514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circinterventions.113.000120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009768988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circinterventions.113.000120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009768988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10554-010-9723-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016614910", 
          "https://doi.org/10.1007/s10554-010-9723-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12325-010-0022-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016851118", 
          "https://doi.org/10.1007/s12325-010-0022-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12325-010-0022-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016851118", 
          "https://doi.org/10.1007/s12325-010-0022-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10554-013-0223-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016998291", 
          "https://doi.org/10.1007/s10554-013-0223-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcin.2009.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017828076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa035071", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020446643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ahj.2015.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021137557"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2011.02.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021184995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ahj.2011.10.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022552340"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijcard.2008.05.069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023228582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.113.001790", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023842836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.113.001790", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023842836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.113.001790", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023842836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ahj.2013.04.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024798611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2012.01.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027422538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehr182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029358132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcin.2013.06.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030052983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10554-011-9849-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030858160", 
          "https://doi.org/10.1007/s10554-011-9849-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2010.04.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030970992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1253/circj.cj-08-1116", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031693117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcin.2011.09.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033891671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehr484", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042694250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijcard.2009.07.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046536059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ccd.24374", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051349223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2006.03.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052495584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4244/eijy15m12_05", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072400553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078765871", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-02", 
    "datePublishedReg": "2017-02-01", 
    "description": "Few studies have directly compared vascular responses to second-generation drug-eluting stents (DESs). We performed optical coherence tomography examinations in 56 consecutive patients with implanted single stent [19 cobalt-chromium everolimus-eluting stents (CoCr-EES), 22 platinum-chromium EES (PtCr-EES), and 15 resolute zotarolimus-eluting stents (R-ZES)] for de novo lesions, and who did not have restenosis at their 9-month follow-up. Neointimal thickness (NIT), stent apposition, and neointimal coverage were assessed in every strut. A neointimal unevenness score [(NUS), maximum NIT/average NIT in the same cross-section] was determined for every 1-mm cross-section (CS). A total of 8350 struts and 1159 CSs were analyzed. The CoCr- and PtCr-EES had significantly fewer malapposed struts compared to the R-ZES (CoCr-EES: 0.19\u2009% vs. PtCr-EES: 0.19\u2009% vs.\nR-ZES: 0.61\u2009%, p\u2009=\u20090.007). Furthermore, the PtCr-EES had a lower frequency of uncovered struts compared to the others (CoCr-EES: 2.0\u2009% vs. PtCr-EES: 1.4\u2009% vs.\nR-ZES: 2.3\u2009%, p\u2009=\u20090.047). The NUS correlated with the frequency of uncovered struts (p\u2009<\u20090.001, r\u2009=\u20090.54). The EESs demonstrated more homogenous neointimal growth, as shown in the NUS, compared to the R-ZES [CoCr-EES: 1.66 (1.38-1.97) vs. PtCr-EES: 1.67 (1.41-2.00) vs.\nR-ZES: 1.94 (1.56-2.28), p\u2009<\u20090.001]. Our results demonstrate that unevenness neointimal growth may relate with strut coverage after second-generation DES implantation. The PtCr-EES had a high frequency of strut coverage with a homogeneous neointima, suggesting fewer risks for stent thrombosis.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10554-016-1001-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1025429", 
        "issn": [
          "1569-5794", 
          "1573-0743"
        ], 
        "name": "The International Journal of Cardiovascular Imaging", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "33"
      }
    ], 
    "name": "Comparison of vascular responses after different types of second-generation drug-eluting stents implantation detected by optical coherence tomography", 
    "pagination": "177-186", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "640ab1039766b757036234f0fdc2dead8a58ff7124941fff94ff77eecb157618"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27761750"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100969716"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10554-016-1001-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1020996970"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10554-016-1001-2", 
      "https://app.dimensions.ai/details/publication/pub.1020996970"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:27", 
    "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/v90/0000000362_0000000362/records_87119_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10554-016-1001-2"
  }
]
 

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.10.1007/s10554-016-1001-2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10554-016-1001-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10554-016-1001-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10554-016-1001-2'


 

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

327 TRIPLES      21 PREDICATES      76 URIs      41 LITERALS      29 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10554-016-1001-2 schema:about N0caf4edd8dc44303832a7ce79ef8a004
2 N1542fd6da12c4797931a52bbeeb5e5cb
3 N19b397f90303486ca304853b0e02017e
4 N1de9769557974c5a9d6478c4597ef1c9
5 N26722a221fdb42e48b02fce74ccfc5d3
6 N2f7c488a844a4a50a0bf0e7a52a8afa4
7 N2fe45920287c4799aaee7f44ceb1ad65
8 N396e8d246bf047bd854b2cc9555a4031
9 N5faf283d9a1c46ad8ba868736993d634
10 N66d0c887d48e4bfb9dd480c71e871490
11 N7f2a70de33044b2ba7682732d79703eb
12 N855a3966933e48a6aeae4190829d9e04
13 Nb44376e443dc4e09b24e5947d8bb3df8
14 Nb89c85c72b4b4b058cb7bf8c642a50db
15 Nbd419e5727794020ba745d125f24e9fa
16 Nbda7e4fe4ee94e678c4676f5255b3f4a
17 Nc9467c96a9c04f15a9581a7aa4a16534
18 Ncee06121dc1d408ebe3e977b88b4554d
19 Nd03fff6418ad4e03a7997c133ccbdb4c
20 Nf6e292a8618b4499b8d3c010dca37f19
21 anzsrc-for:09
22 anzsrc-for:0903
23 schema:author N2581173761bc49b4832eaad6a42acdfe
24 schema:citation sg:pub.10.1007/s10554-010-9723-z
25 sg:pub.10.1007/s10554-011-9849-7
26 sg:pub.10.1007/s10554-013-0223-9
27 sg:pub.10.1007/s12325-010-0022-9
28 https://app.dimensions.ai/details/publication/pub.1078765871
29 https://doi.org/10.1002/ccd.24374
30 https://doi.org/10.1016/j.ahj.2011.10.016
31 https://doi.org/10.1016/j.ahj.2013.04.001
32 https://doi.org/10.1016/j.ahj.2015.06.005
33 https://doi.org/10.1016/j.ijcard.2008.05.069
34 https://doi.org/10.1016/j.ijcard.2009.07.012
35 https://doi.org/10.1016/j.jacc.2006.03.042
36 https://doi.org/10.1016/j.jacc.2010.04.011
37 https://doi.org/10.1016/j.jacc.2011.02.016
38 https://doi.org/10.1016/j.jacc.2012.01.008
39 https://doi.org/10.1016/j.jcin.2009.03.003
40 https://doi.org/10.1016/j.jcin.2011.09.018
41 https://doi.org/10.1016/j.jcin.2013.06.015
42 https://doi.org/10.1056/nejmoa035071
43 https://doi.org/10.1093/eurheartj/ehr182
44 https://doi.org/10.1093/eurheartj/ehr484
45 https://doi.org/10.1161/circinterventions.113.000120
46 https://doi.org/10.1161/circulationaha.113.001790
47 https://doi.org/10.1161/hc3101.092214
48 https://doi.org/10.1253/circj.cj-08-1116
49 https://doi.org/10.1253/circj.cj-13-1540
50 https://doi.org/10.4244/eijy15m12_05
51 schema:datePublished 2017-02
52 schema:datePublishedReg 2017-02-01
53 schema:description Few studies have directly compared vascular responses to second-generation drug-eluting stents (DESs). We performed optical coherence tomography examinations in 56 consecutive patients with implanted single stent [19 cobalt-chromium everolimus-eluting stents (CoCr-EES), 22 platinum-chromium EES (PtCr-EES), and 15 resolute zotarolimus-eluting stents (R-ZES)] for de novo lesions, and who did not have restenosis at their 9-month follow-up. Neointimal thickness (NIT), stent apposition, and neointimal coverage were assessed in every strut. A neointimal unevenness score [(NUS), maximum NIT/average NIT in the same cross-section] was determined for every 1-mm cross-section (CS). A total of 8350 struts and 1159 CSs were analyzed. The CoCr- and PtCr-EES had significantly fewer malapposed struts compared to the R-ZES (CoCr-EES: 0.19 % vs. PtCr-EES: 0.19 % vs. R-ZES: 0.61 %, p = 0.007). Furthermore, the PtCr-EES had a lower frequency of uncovered struts compared to the others (CoCr-EES: 2.0 % vs. PtCr-EES: 1.4 % vs. R-ZES: 2.3 %, p = 0.047). The NUS correlated with the frequency of uncovered struts (p < 0.001, r = 0.54). The EESs demonstrated more homogenous neointimal growth, as shown in the NUS, compared to the R-ZES [CoCr-EES: 1.66 (1.38-1.97) vs. PtCr-EES: 1.67 (1.41-2.00) vs. R-ZES: 1.94 (1.56-2.28), p < 0.001]. Our results demonstrate that unevenness neointimal growth may relate with strut coverage after second-generation DES implantation. The PtCr-EES had a high frequency of strut coverage with a homogeneous neointima, suggesting fewer risks for stent thrombosis.
54 schema:genre research_article
55 schema:inLanguage en
56 schema:isAccessibleForFree false
57 schema:isPartOf N9c0f7b78cddf4deaa45f4bcdfedf65f1
58 Ne4381ca366314bed8d57e7ef9893c124
59 sg:journal.1025429
60 schema:name Comparison of vascular responses after different types of second-generation drug-eluting stents implantation detected by optical coherence tomography
61 schema:pagination 177-186
62 schema:productId N03bd341b998444298fc26f11ea6d5042
63 N2bfc8e707e7b4304b5c4ea144a46235e
64 N857812d4c3fb4114bbf8c1791e13a79e
65 N9784a20b87f4425e9734668f7272af3f
66 Nbe8ae64d1501401f9aecfd18ac83f477
67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020996970
68 https://doi.org/10.1007/s10554-016-1001-2
69 schema:sdDatePublished 2019-04-11T12:27
70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
71 schema:sdPublisher N2c46b8a320e0406e9778c611c7953782
72 schema:url https://link.springer.com/10.1007%2Fs10554-016-1001-2
73 sgo:license sg:explorer/license/
74 sgo:sdDataset articles
75 rdf:type schema:ScholarlyArticle
76 N03bd341b998444298fc26f11ea6d5042 schema:name nlm_unique_id
77 schema:value 100969716
78 rdf:type schema:PropertyValue
79 N0c85dbbf41af49669089e67e8d26e684 rdf:first sg:person.01067016773.60
80 rdf:rest Nfc0780db07d44db9b13e8c8f89a4dac6
81 N0caf4edd8dc44303832a7ce79ef8a004 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Aged
83 rdf:type schema:DefinedTerm
84 N1542fd6da12c4797931a52bbeeb5e5cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Time Factors
86 rdf:type schema:DefinedTerm
87 N19b397f90303486ca304853b0e02017e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Metals
89 rdf:type schema:DefinedTerm
90 N1ccf3c3eee6a4ee68c7c331e44d99dc0 rdf:first sg:person.01243237131.01
91 rdf:rest N7a454292367741a395798008cbcb83f9
92 N1de9769557974c5a9d6478c4597ef1c9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Tomography, Optical Coherence
94 rdf:type schema:DefinedTerm
95 N2581173761bc49b4832eaad6a42acdfe rdf:first sg:person.01112057133.24
96 rdf:rest Nce8523019d754ec5a396ee0360d88a23
97 N26722a221fdb42e48b02fce74ccfc5d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Female
99 rdf:type schema:DefinedTerm
100 N2bfc8e707e7b4304b5c4ea144a46235e schema:name pubmed_id
101 schema:value 27761750
102 rdf:type schema:PropertyValue
103 N2c46b8a320e0406e9778c611c7953782 schema:name Springer Nature - SN SciGraph project
104 rdf:type schema:Organization
105 N2f7c488a844a4a50a0bf0e7a52a8afa4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Sirolimus
107 rdf:type schema:DefinedTerm
108 N2fe45920287c4799aaee7f44ceb1ad65 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Prosthesis Design
110 rdf:type schema:DefinedTerm
111 N396e8d246bf047bd854b2cc9555a4031 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Treatment Outcome
113 rdf:type schema:DefinedTerm
114 N5faf283d9a1c46ad8ba868736993d634 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Retrospective Studies
116 rdf:type schema:DefinedTerm
117 N66d0c887d48e4bfb9dd480c71e871490 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Drug-Eluting Stents
119 rdf:type schema:DefinedTerm
120 N7a454292367741a395798008cbcb83f9 rdf:first sg:person.01341503750.54
121 rdf:rest Nc7f0ca1059e74a459b91eecdd0cce200
122 N7f2a70de33044b2ba7682732d79703eb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Humans
124 rdf:type schema:DefinedTerm
125 N855a3966933e48a6aeae4190829d9e04 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Predictive Value of Tests
127 rdf:type schema:DefinedTerm
128 N857812d4c3fb4114bbf8c1791e13a79e schema:name readcube_id
129 schema:value 640ab1039766b757036234f0fdc2dead8a58ff7124941fff94ff77eecb157618
130 rdf:type schema:PropertyValue
131 N9784a20b87f4425e9734668f7272af3f schema:name dimensions_id
132 schema:value pub.1020996970
133 rdf:type schema:PropertyValue
134 N9c0f7b78cddf4deaa45f4bcdfedf65f1 schema:issueNumber 2
135 rdf:type schema:PublicationIssue
136 Na482d0d4b6344ae3ac4580183fec68c2 rdf:first sg:person.0704441134.34
137 rdf:rest Nbfbe413e1fd24ccaa34c65f364965002
138 Nb44376e443dc4e09b24e5947d8bb3df8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Percutaneous Coronary Intervention
140 rdf:type schema:DefinedTerm
141 Nb89c85c72b4b4b058cb7bf8c642a50db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Coronary Artery Disease
143 rdf:type schema:DefinedTerm
144 Nbd3be6c46d144af49ab068d9dc9d942d rdf:first sg:person.01266743300.99
145 rdf:rest rdf:nil
146 Nbd419e5727794020ba745d125f24e9fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Middle Aged
148 rdf:type schema:DefinedTerm
149 Nbda7e4fe4ee94e678c4676f5255b3f4a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Everolimus
151 rdf:type schema:DefinedTerm
152 Nbe8ae64d1501401f9aecfd18ac83f477 schema:name doi
153 schema:value 10.1007/s10554-016-1001-2
154 rdf:type schema:PropertyValue
155 Nbfbe413e1fd24ccaa34c65f364965002 rdf:first sg:person.0746635236.00
156 rdf:rest N1ccf3c3eee6a4ee68c7c331e44d99dc0
157 Nc7f0ca1059e74a459b91eecdd0cce200 rdf:first sg:person.07723105632.44
158 rdf:rest Nbd3be6c46d144af49ab068d9dc9d942d
159 Nc9467c96a9c04f15a9581a7aa4a16534 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Cardiovascular Agents
161 rdf:type schema:DefinedTerm
162 Nce8523019d754ec5a396ee0360d88a23 rdf:first sg:person.01175123731.42
163 rdf:rest Nd44551ef77d04e7eac1902a4cf838e34
164 Ncee06121dc1d408ebe3e977b88b4554d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Male
166 rdf:type schema:DefinedTerm
167 Nd03fff6418ad4e03a7997c133ccbdb4c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Neointima
169 rdf:type schema:DefinedTerm
170 Nd44551ef77d04e7eac1902a4cf838e34 rdf:first sg:person.0663530316.47
171 rdf:rest N0c85dbbf41af49669089e67e8d26e684
172 Ne4381ca366314bed8d57e7ef9893c124 schema:volumeNumber 33
173 rdf:type schema:PublicationVolume
174 Nf3ef7f44311a4ac1b31af1c47ee93507 rdf:first sg:person.014013357635.54
175 rdf:rest Nfd2bcc4b9bf74190851a67075544faf1
176 Nf6e292a8618b4499b8d3c010dca37f19 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Coronary Vessels
178 rdf:type schema:DefinedTerm
179 Nfc0780db07d44db9b13e8c8f89a4dac6 rdf:first sg:person.013215777235.16
180 rdf:rest Nf3ef7f44311a4ac1b31af1c47ee93507
181 Nfc82d96722ac45a8a8498ca732fbd263 rdf:first sg:person.0632406636.85
182 rdf:rest Na482d0d4b6344ae3ac4580183fec68c2
183 Nfd2bcc4b9bf74190851a67075544faf1 rdf:first sg:person.014610740235.86
184 rdf:rest Nfc82d96722ac45a8a8498ca732fbd263
185 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
186 schema:name Engineering
187 rdf:type schema:DefinedTerm
188 anzsrc-for:0903 schema:inDefinedTermSet anzsrc-for:
189 schema:name Biomedical Engineering
190 rdf:type schema:DefinedTerm
191 sg:journal.1025429 schema:issn 1569-5794
192 1573-0743
193 schema:name The International Journal of Cardiovascular Imaging
194 rdf:type schema:Periodical
195 sg:person.01067016773.60 schema:affiliation https://www.grid.ac/institutes/grid.417369.e
196 schema:familyName Hishikari
197 schema:givenName Keiichi
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067016773.60
199 rdf:type schema:Person
200 sg:person.01112057133.24 schema:affiliation https://www.grid.ac/institutes/grid.417369.e
201 schema:familyName Ohtani
202 schema:givenName Hirofumi
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112057133.24
204 rdf:type schema:Person
205 sg:person.01175123731.42 schema:affiliation https://www.grid.ac/institutes/grid.417369.e
206 schema:familyName Kimura
207 schema:givenName Shigeki
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175123731.42
209 rdf:type schema:Person
210 sg:person.01243237131.01 schema:affiliation https://www.grid.ac/institutes/grid.417369.e
211 schema:familyName Hikita
212 schema:givenName Hiroyuki
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243237131.01
214 rdf:type schema:Person
215 sg:person.01266743300.99 schema:affiliation https://www.grid.ac/institutes/grid.265073.5
216 schema:familyName Isobe
217 schema:givenName Mitsuaki
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266743300.99
219 rdf:type schema:Person
220 sg:person.013215777235.16 schema:affiliation https://www.grid.ac/institutes/grid.417369.e
221 schema:familyName Misawa
222 schema:givenName Toru
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013215777235.16
224 rdf:type schema:Person
225 sg:person.01341503750.54 schema:affiliation https://www.grid.ac/institutes/grid.265073.5
226 schema:familyName Ashikaga
227 schema:givenName Takashi
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341503750.54
229 rdf:type schema:Person
230 sg:person.014013357635.54 schema:affiliation https://www.grid.ac/institutes/grid.417369.e
231 schema:familyName Mizusawa
232 schema:givenName Masafumi
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014013357635.54
234 rdf:type schema:Person
235 sg:person.014610740235.86 schema:affiliation https://www.grid.ac/institutes/grid.417369.e
236 schema:familyName Hayasaka
237 schema:givenName Kazuto
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014610740235.86
239 rdf:type schema:Person
240 sg:person.0632406636.85 schema:affiliation https://www.grid.ac/institutes/grid.417369.e
241 schema:familyName Yamakami
242 schema:givenName Yosuke
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632406636.85
244 rdf:type schema:Person
245 sg:person.0663530316.47 schema:affiliation https://www.grid.ac/institutes/grid.417369.e
246 schema:familyName Sugiyama
247 schema:givenName Tomoyo
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663530316.47
249 rdf:type schema:Person
250 sg:person.0704441134.34 schema:affiliation https://www.grid.ac/institutes/grid.417369.e
251 schema:familyName Kojima
252 schema:givenName Keisuke
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704441134.34
254 rdf:type schema:Person
255 sg:person.0746635236.00 schema:affiliation https://www.grid.ac/institutes/grid.417369.e
256 schema:familyName Sagawa
257 schema:givenName Yuichiro
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746635236.00
259 rdf:type schema:Person
260 sg:person.07723105632.44 schema:affiliation https://www.grid.ac/institutes/grid.417369.e
261 schema:familyName Takahashi
262 schema:givenName Atsushi
263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07723105632.44
264 rdf:type schema:Person
265 sg:pub.10.1007/s10554-010-9723-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1016614910
266 https://doi.org/10.1007/s10554-010-9723-z
267 rdf:type schema:CreativeWork
268 sg:pub.10.1007/s10554-011-9849-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030858160
269 https://doi.org/10.1007/s10554-011-9849-7
270 rdf:type schema:CreativeWork
271 sg:pub.10.1007/s10554-013-0223-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016998291
272 https://doi.org/10.1007/s10554-013-0223-9
273 rdf:type schema:CreativeWork
274 sg:pub.10.1007/s12325-010-0022-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016851118
275 https://doi.org/10.1007/s12325-010-0022-9
276 rdf:type schema:CreativeWork
277 https://app.dimensions.ai/details/publication/pub.1078765871 schema:CreativeWork
278 https://doi.org/10.1002/ccd.24374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051349223
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1016/j.ahj.2011.10.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022552340
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1016/j.ahj.2013.04.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024798611
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1016/j.ahj.2015.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021137557
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1016/j.ijcard.2008.05.069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023228582
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1016/j.ijcard.2009.07.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046536059
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1016/j.jacc.2006.03.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052495584
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1016/j.jacc.2010.04.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030970992
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1016/j.jacc.2011.02.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021184995
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1016/j.jacc.2012.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027422538
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1016/j.jcin.2009.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017828076
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1016/j.jcin.2011.09.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033891671
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1016/j.jcin.2013.06.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030052983
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1056/nejmoa035071 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020446643
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1093/eurheartj/ehr182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029358132
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1093/eurheartj/ehr484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042694250
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1161/circinterventions.113.000120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009768988
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1161/circulationaha.113.001790 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023842836
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1161/hc3101.092214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006625514
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1253/circj.cj-08-1116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031693117
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1253/circj.cj-13-1540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000122433
319 rdf:type schema:CreativeWork
320 https://doi.org/10.4244/eijy15m12_05 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072400553
321 rdf:type schema:CreativeWork
322 https://www.grid.ac/institutes/grid.265073.5 schema:alternateName Tokyo Medical and Dental University
323 schema:name Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan
324 rdf:type schema:Organization
325 https://www.grid.ac/institutes/grid.417369.e schema:alternateName Yokosuka Kyosai Hospital
326 schema:name Cardiovascular Center, Yokosuka Kyosai Hospital, Yokosuka, Japan
327 rdf:type schema:Organization
 




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


...