Ontology type: schema:ScholarlyArticle Open Access: True
2020-10-06
AUTHORSMichael D. Dake, Fabrizio Fanelli, Aaron E. Lottes, Erin E. O’Leary, Heidi Reichert, Xiaohui Jiang, Weiguo Fu, Osamu Iida, Kan Zen, Marc Schermerhorn, Thomas Zeller, Gary M. Ansel
ABSTRACTPurposeDevelop a prediction model to determine the impact of patient and lesion factors on freedom from target lesion revascularization (ffTLR) for patients who are candidates for Zilver PTX drug-eluting stent (DES) treatment for femoropopliteal lesions.MethodsPatient factors, lesion characteristics, and TLR results from five global studies were utilized for model development. Factors potentially associated with TLR (sex, age, diabetes, hypertension, hypercholesterolemia, renal disease, smoking status, Rutherford classification, lesion length, reference vessel diameter (RVD), popliteal involvement, total occlusion, calcification severity, prior interventions, and number of runoff vessels) were analyzed in a Cox proportional hazards model. Probability of ffTLR was generated for three example patient profiles via combinations of patient and lesion factors. TLR was defined as reintervention performed for ≥ 50% diameter stenosis after recurrent clinical symptoms.ResultsThe model used records from 2227 patients. The median follow-up time was 23.9 months (range: 0.03–60.8). The Kaplan–Meier estimates for ffTLR were 90.5% through 1 year and 75.2% through 5 years. In a multivariate analysis, sex, age, Rutherford classification, lesion length, RVD, total occlusion, and prior interventions were significant factors. The example patient profiles have predicted 1-year ffTLRs of 97.4, 92.3, and 86.0% and 5-year predicted ffTLRs of 92.8, 79.5, and 64.8%. The prediction model is available as an interactive web-based tool (https://cooksfa.z13.web.core.windows.net).ConclusionsThis is the first prediction model that uses an extensive dataset to determine the impact of patient and lesion factors on ffTLR through 5 years and provides an interactive web-based tool for expected patient outcomes with the Zilver PTX DES.Clinical Trial RegistrationsZilver PTX RCT unique identifier: NCT00120406; Zilver PTX single-arm study unique identifier: NCT01094678; Zilver PTX China study unique identifier: NCT02171962; Zilver PTX US post-approval study unique identifier: NCT01901289; Zilver PTX Japan post-market surveillance study unique identifier: NCT02254837.Levels of EvidenceZilver PTX RCT: Level 2, randomized controlled trial; Single-arm study: Level 4, large case series; China study: Level 4, case series; US post-approval study: Level 4, case series Japan PMS study: Level 4, large case series. More... »
PAGES196-206
http://scigraph.springernature.com/pub.10.1007/s00270-020-02648-6
DOIhttp://dx.doi.org/10.1007/s00270-020-02648-6
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1131465772
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/33025243
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/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"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"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Aged, 80 and over",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Datasets as Topic",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Drug-Eluting Stents",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Endovascular Procedures",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Femoral Artery",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Follow-Up Studies",
"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": "Middle Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Paclitaxel",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Peripheral Arterial Disease",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Popliteal Artery",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Prospective Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Recurrence",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Time Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Treatment Outcome",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Tubulin Modulators",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Vascular Patency",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "The University of Arizona, Health Sciences Innovation Building, 1670 East Drachman Street, 9th Floor SVP Suite, P.O. Box 210216, 85721-0216, Tucson, AZ, USA",
"id": "http://www.grid.ac/institutes/grid.134563.6",
"name": [
"The University of Arizona, Health Sciences Innovation Building, 1670 East Drachman Street, 9th Floor SVP Suite, P.O. Box 210216, 85721-0216, Tucson, AZ, USA"
],
"type": "Organization"
},
"familyName": "Dake",
"givenName": "Michael D.",
"id": "sg:person.0641462234.03",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641462234.03"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Vascular and Interventional Radiology, \u201cCareggi\u201d University Hospital, Florence, Italy",
"id": "http://www.grid.ac/institutes/grid.24704.35",
"name": [
"Department of Vascular and Interventional Radiology, \u201cCareggi\u201d University Hospital, Florence, Italy"
],
"type": "Organization"
},
"familyName": "Fanelli",
"givenName": "Fabrizio",
"id": "sg:person.0710226417.47",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710226417.47"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Purdue University, West Lafayette, IN, USA",
"id": "http://www.grid.ac/institutes/grid.169077.e",
"name": [
"Purdue University, West Lafayette, IN, USA"
],
"type": "Organization"
},
"familyName": "Lottes",
"givenName": "Aaron E.",
"id": "sg:person.01074671261.78",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074671261.78"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Cook Research Incorporated, West Lafayette, IN, USA",
"id": "http://www.grid.ac/institutes/grid.510407.7",
"name": [
"Cook Research Incorporated, West Lafayette, IN, USA"
],
"type": "Organization"
},
"familyName": "O\u2019Leary",
"givenName": "Erin E.",
"id": "sg:person.0672625424.38",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672625424.38"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "EpidStrategies, Ann Arbor, MI, USA",
"id": "http://www.grid.ac/institutes/None",
"name": [
"EpidStrategies, Ann Arbor, MI, USA"
],
"type": "Organization"
},
"familyName": "Reichert",
"givenName": "Heidi",
"type": "Person"
},
{
"affiliation": {
"alternateName": "EpidStrategies, Ann Arbor, MI, USA",
"id": "http://www.grid.ac/institutes/None",
"name": [
"EpidStrategies, Ann Arbor, MI, USA"
],
"type": "Organization"
},
"familyName": "Jiang",
"givenName": "Xiaohui",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China",
"id": "http://www.grid.ac/institutes/grid.8547.e",
"name": [
"Department of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China"
],
"type": "Organization"
},
"familyName": "Fu",
"givenName": "Weiguo",
"id": "sg:person.01340207030.85",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340207030.85"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Cardiovascular Center, Kansai Rosai Hospital, Amagasaki, Japan",
"id": "http://www.grid.ac/institutes/grid.414976.9",
"name": [
"Cardiovascular Center, Kansai Rosai Hospital, Amagasaki, Japan"
],
"type": "Organization"
},
"familyName": "Iida",
"givenName": "Osamu",
"id": "sg:person.01016335235.39",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016335235.39"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan",
"id": "http://www.grid.ac/institutes/grid.272458.e",
"name": [
"Department of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan"
],
"type": "Organization"
},
"familyName": "Zen",
"givenName": "Kan",
"id": "sg:person.0756210057.08",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756210057.08"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Division of Vascular Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA",
"id": "http://www.grid.ac/institutes/grid.239395.7",
"name": [
"Division of Vascular Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA"
],
"type": "Organization"
},
"familyName": "Schermerhorn",
"givenName": "Marc",
"id": "sg:person.0674715555.37",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674715555.37"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Universitaets-Herz-Zentrum Freiburg \u2013 Bad Krozingen, Bad Krozingen, Germany",
"id": "http://www.grid.ac/institutes/grid.418466.9",
"name": [
"Universitaets-Herz-Zentrum Freiburg \u2013 Bad Krozingen, Bad Krozingen, Germany"
],
"type": "Organization"
},
"familyName": "Zeller",
"givenName": "Thomas",
"id": "sg:person.01306206724.74",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306206724.74"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Medicine, Ohio Health/Riverside Methodist Hospital, Columbus, OH, USA",
"id": "http://www.grid.ac/institutes/grid.415981.0",
"name": [
"Department of Medicine, Ohio Health/Riverside Methodist Hospital, Columbus, OH, USA"
],
"type": "Organization"
},
"familyName": "Ansel",
"givenName": "Gary M.",
"id": "sg:person.0726247703.77",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726247703.77"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s00270-012-0543-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050294941",
"https://doi.org/10.1007/s00270-012-0543-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00270-017-1673-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085377186",
"https://doi.org/10.1007/s00270-017-1673-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00270-018-2110-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1109785132",
"https://doi.org/10.1007/s00270-018-2110-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2288-13-33",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036043231",
"https://doi.org/10.1186/1471-2288-13-33"
],
"type": "CreativeWork"
}
],
"datePublished": "2020-10-06",
"datePublishedReg": "2020-10-06",
"description": "PurposeDevelop a prediction model to determine the impact of patient and lesion factors on freedom from target lesion revascularization (ffTLR) for patients who are candidates for Zilver PTX drug-eluting stent (DES) treatment for femoropopliteal lesions.MethodsPatient factors, lesion characteristics, and TLR results from five global studies were utilized for model development. Factors potentially associated with TLR (sex, age, diabetes, hypertension, hypercholesterolemia, renal disease, smoking status, Rutherford classification, lesion length, reference vessel diameter (RVD), popliteal involvement, total occlusion, calcification severity, prior interventions, and number of runoff vessels) were analyzed in a Cox proportional hazards model. Probability of ffTLR was generated for three example patient profiles via combinations of patient and lesion factors. TLR was defined as reintervention performed for\u2009\u2265\u200950% diameter stenosis after recurrent clinical symptoms.ResultsThe model used records from 2227 patients. The median follow-up time was 23.9\u00a0months (range: 0.03\u201360.8). The Kaplan\u2013Meier estimates for ffTLR were 90.5% through 1\u00a0year and 75.2% through 5\u00a0years. In a multivariate analysis, sex, age, Rutherford classification, lesion length, RVD, total occlusion, and prior interventions were significant factors. The example patient profiles have predicted 1-year ffTLRs of 97.4, 92.3, and 86.0% and 5-year predicted ffTLRs of 92.8, 79.5, and 64.8%. The prediction model is available as an interactive web-based tool (https://cooksfa.z13.web.core.windows.net).ConclusionsThis is the first prediction model that uses an extensive dataset to determine the impact of patient and lesion factors on ffTLR through 5\u00a0years and provides an interactive web-based tool for expected patient outcomes with the Zilver PTX DES.Clinical Trial RegistrationsZilver PTX RCT unique identifier: NCT00120406; Zilver PTX single-arm study unique identifier: NCT01094678; Zilver PTX China study unique identifier: NCT02171962; Zilver\u00a0PTX US post-approval study unique identifier: NCT01901289; Zilver PTX Japan post-market surveillance study unique identifier: NCT02254837.Levels of EvidenceZilver PTX RCT: Level 2, randomized controlled trial; Single-arm study: Level 4, large case series; China study: Level 4, case series; US post-approval study: Level 4, case series Japan PMS study: Level 4, large case series.",
"genre": "article",
"id": "sg:pub.10.1007/s00270-020-02648-6",
"inLanguage": "en",
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1091062",
"issn": [
"0174-1551",
"1432-086X"
],
"name": "CardioVascular and Interventional Radiology",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "44"
}
],
"keywords": [
"impact of patient",
"large case series",
"case series",
"lesion factors",
"patient profiles",
"drug-eluting stent (DES) treatment",
"Cox proportional hazards model",
"target lesion revascularization",
"recurrent clinical symptoms",
"single-arm study",
"Kaplan-Meier estimates",
"long-term results",
"proportional hazards model",
"combination of patient",
"level 4",
"post-approval studies",
"Rutherford classification",
"lesion revascularization",
"median follow",
"femoropopliteal lesions",
"diameter stenosis",
"clinical symptoms",
"total occlusion",
"TLRs results",
"lesion characteristics",
"patient outcomes",
"stent treatment",
"PMS studies",
"hazards model",
"prior interventions",
"patients",
"multivariate analysis",
"TLR",
"lesion length",
"multi-study analysis",
"peripheral stents",
"ResultsThe model",
"first prediction model",
"years",
"reintervention",
"revascularization",
"level 2",
"significant factor",
"factors",
"stenosis",
"RCTs",
"lesions",
"symptoms",
"follow",
"study",
"stents",
"ConclusionsThis",
"trials",
"months",
"occlusion",
"intervention",
"age",
"outcomes",
"sex",
"treatment",
"Zilver",
"web-based tool",
"RVD",
"prediction model",
"profile",
"unique identifiers",
"records",
"series",
"global study",
"China studies",
"impact",
"interactive web-based tool",
"analysis",
"DES",
"identifiers",
"results",
"candidates",
"combination",
"tool",
"development",
"model",
"classification",
"time",
"length",
"characteristics",
"probability",
"estimates",
"China",
"freedom",
"model development",
"dataset",
"extensive dataset"
],
"name": "Prediction Model for Freedom from TLR from a Multi-study Analysis of Long-Term Results with the Zilver PTX Drug-Eluting Peripheral Stent",
"pagination": "196-206",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1131465772"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00270-020-02648-6"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"33025243"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00270-020-02648-6",
"https://app.dimensions.ai/details/publication/pub.1131465772"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-10T10:29",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_868.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s00270-020-02648-6"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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/s00270-020-02648-6'
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/s00270-020-02648-6'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00270-020-02648-6'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00270-020-02648-6'
This table displays all metadata directly associated to this object as RDF triples.
355 TRIPLES
22 PREDICATES
142 URIs
130 LITERALS
27 BLANK NODES