Power Doppler ultrasonography is useful for assessing disease activity and predicting joint destruction in rheumatoid arthritis patients receiving tocilizumab—preliminary data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-02-04

AUTHORS

Maasa Hama, Takeaki Uehara, Kaoru Takase, Atsushi Ihata, Atsuhisa Ueda, Mitsuhiro Takeno, Kazuya Shizukuishi, Ukihide Tateishi, Yoshiaki Ishigatsubo

ABSTRACT

To evaluate the responsiveness of power Doppler ultrasonography (PDUS) in comparison with conventional measures of disease activity and structural damage in rheumatoid arthritis (RA) patients receiving tocilizumab (TCZ). Seven RA patients with active arthritis were enrolled in the study and prospectively monitored for 12 months. They were treated with TCZ (8 mg/kg) every 4 weeks as monotherapy or in combination with disease-modifying antirheumatic drugs (DMARDs). Clinical, laboratory, and ultrasound examinations were conducted at baseline, 1, 3, 6, 9, and 12 months. Power Doppler (PD) signals were graded from 0 to 3 in 24 joints, and total PD score was calculated as the sum of scores of individual joints. One-year radiographic progression of the hands was estimated by using Genant-modified Sharp scoring. The averages of the clinical parameters rapidly improved, and all patients achieved good response within 6 months based on standard 28-joint Disease Activity Score (DAS28). Although the average total PD score declined in parallel with clinical improvement, radiography of the hands showed progression of destruction in the joints where PD signals remained, even among clinical responders. ΔSharp score correlated with the time-integrated value (TIV) of total PD scores (Δtotal Sharp score: r = 0.77, P = 0.04; Δerosion: r = 0.78, P = 0.04; Δjoint-space narrowing (JSN): r = 0.75, P = 0.05), but not with TIVs of clinical parameters including DAS28. PDUS can independently evaluate disease activity in RA patients receiving TCZ and is superior to DAS28, especially in predicting joint destruction. More... »

PAGES

1327-1333

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00296-011-1802-5

DOI

http://dx.doi.org/10.1007/s00296-011-1802-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028634147

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21293859


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/2008/11", 
        "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": "Antibodies, Monoclonal, Humanized", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antirheumatic Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Arthritis, Rheumatoid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Arthrography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug Administration Schedule", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug Therapy, Combination", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hand Joints", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Knee Joint", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Observer Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pilot Projects", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Severity of Illness Index", 
        "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": "Ultrasonography, Doppler", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hama", 
        "givenName": "Maasa", 
        "id": "sg:person.01203416633.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203416633.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uehara", 
        "givenName": "Takeaki", 
        "id": "sg:person.01077164063.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077164063.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takase", 
        "givenName": "Kaoru", 
        "id": "sg:person.0756602733.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756602733.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ihata", 
        "givenName": "Atsushi", 
        "id": "sg:person.01364010267.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364010267.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ueda", 
        "givenName": "Atsuhisa", 
        "id": "sg:person.01032032373.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032032373.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takeno", 
        "givenName": "Mitsuhiro", 
        "id": "sg:person.01027461256.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027461256.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shizukuishi", 
        "givenName": "Kazuya", 
        "id": "sg:person.0734336234.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734336234.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tateishi", 
        "givenName": "Ukihide", 
        "id": "sg:person.0742073556.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0742073556.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ishigatsubo", 
        "givenName": "Yoshiaki", 
        "id": "sg:person.01125133646.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125133646.44"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00296-009-1095-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045997240", 
          "https://doi.org/10.1007/s00296-009-1095-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10165-010-0290-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023708237", 
          "https://doi.org/10.1007/s10165-010-0290-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10165-009-0235-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044780708", 
          "https://doi.org/10.1007/s10165-009-0235-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10165-010-0279-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053539688", 
          "https://doi.org/10.1007/s10165-010-0279-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10067-007-0738-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030310685", 
          "https://doi.org/10.1007/s10067-007-0738-3"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-02-04", 
    "datePublishedReg": "2011-02-04", 
    "description": "To evaluate the responsiveness of power Doppler ultrasonography (PDUS) in comparison with conventional measures of disease activity and structural damage in rheumatoid arthritis (RA) patients receiving tocilizumab (TCZ). Seven RA patients with active arthritis were enrolled in the study and prospectively monitored for 12 months. They were treated with TCZ (8 mg/kg) every 4 weeks as monotherapy or in combination with disease-modifying antirheumatic drugs (DMARDs). Clinical, laboratory, and ultrasound examinations were conducted at baseline, 1, 3, 6, 9, and 12 months. Power Doppler (PD) signals were graded from 0 to 3 in 24 joints, and total PD score was calculated as the sum of scores of individual joints. One-year radiographic progression of the hands was estimated by using Genant-modified Sharp scoring. The averages of the clinical parameters rapidly improved, and all patients achieved good response within 6 months based on standard 28-joint Disease Activity Score (DAS28). Although the average total PD score declined in parallel with clinical improvement, radiography of the hands showed progression of destruction in the joints where PD signals remained, even among clinical responders. \u0394Sharp score correlated with the time-integrated value (TIV) of total PD scores (\u0394total Sharp score: r = 0.77, P = 0.04; \u0394erosion: r = 0.78, P = 0.04; \u0394joint-space narrowing (JSN): r = 0.75, P = 0.05), but not with TIVs of clinical parameters including DAS28. PDUS can independently evaluate disease activity in RA patients receiving TCZ and is superior to DAS28, especially in predicting joint destruction.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00296-011-1802-5", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1093123", 
        "issn": [
          "0172-8172", 
          "1437-160X"
        ], 
        "name": "Rheumatology International", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "32"
      }
    ], 
    "keywords": [
      "power Doppler ultrasonography", 
      "total PD score", 
      "disease-modifying antirheumatic drugs", 
      "rheumatoid arthritis patients", 
      "disease activity", 
      "RA patients", 
      "PD scores", 
      "arthritis patients", 
      "joint destruction", 
      "clinical parameters", 
      "Doppler ultrasonography", 
      "progression of destruction", 
      "Disease Activity Score", 
      "power Doppler signal", 
      "active arthritis", 
      "clinical responders", 
      "antirheumatic drugs", 
      "radiographic progression", 
      "clinical improvement", 
      "activity score", 
      "sum of scores", 
      "ultrasound examination", 
      "tocilizumab", 
      "patients", 
      "DAS28", 
      "months", 
      "good response", 
      "scores", 
      "ultrasonography", 
      "progression", 
      "Doppler signals", 
      "individual joints", 
      "monotherapy", 
      "arthritis", 
      "Genant", 
      "joints", 
      "responders", 
      "destruction", 
      "time-integrated values", 
      "activity", 
      "baseline", 
      "weeks", 
      "drugs", 
      "conventional measures", 
      "radiography", 
      "responsiveness", 
      "structural damage", 
      "examination", 
      "scoring", 
      "damage", 
      "response", 
      "study", 
      "measures", 
      "hand", 
      "improvement", 
      "average", 
      "combination", 
      "laboratory", 
      "data", 
      "comparison", 
      "values", 
      "parameters", 
      "signals", 
      "parallel", 
      "PD signals", 
      "sum", 
      "One-year radiographic progression", 
      "Sharp scoring", 
      "average total PD score", 
      "tocilizumab\u2014preliminary data"
    ], 
    "name": "Power Doppler ultrasonography is useful for assessing disease activity and predicting joint destruction in rheumatoid arthritis patients receiving tocilizumab\u2014preliminary data", 
    "pagination": "1327-1333", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1028634147"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00296-011-1802-5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21293859"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00296-011-1802-5", 
      "https://app.dimensions.ai/details/publication/pub.1028634147"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:25", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_544.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00296-011-1802-5"
  }
]
 

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/s00296-011-1802-5'

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/s00296-011-1802-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00296-011-1802-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00296-011-1802-5'


 

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

298 TRIPLES      22 PREDICATES      123 URIs      110 LITERALS      29 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00296-011-1802-5 schema:about N0d33c00cf2964f13a2f52ab120299110
2 N10115cbc44fa42d29481842984d41224
3 N13af7607aa9e453f8f452b80de48bdf3
4 N13ca71da077e43c0b524da0741b2de87
5 N1e4ab7fe0a944904864a8aec80cb8a4e
6 N21a9acb75db54396a2c635336b59b8d3
7 N2384fff0722c45b79faa9c98129a26e2
8 N47d3ad2cef5444dfb791da32bd29e764
9 N5022c637c08e49b88854b3f585a62e14
10 N5a2be11c8b3b4c9991153661e2dd6f77
11 N5d08767ef10b496c8e077e7f0ba2efdd
12 N68083cfb126e44bd9e70d5f9f57796ac
13 N787d0ac48e464abaa46d270d61e64a20
14 N7b50e8fb6cef437fa8bc2d786b599d73
15 N941d49d2d43d41f9bb001eac28371043
16 Na1d43e490ba64d72a44b1639d7b062af
17 Nbcf3119317e747bc827504b974ab4835
18 Nc7fe5f0b99dd40b786eae071a428218a
19 Nda1b199ae23e48ccb2563131eb55191d
20 Nde0d9c56444e4202b862ea7e72ec8a6c
21 Ne546e9d3cb324b9b88ddadb4001f48d0
22 Ne707170dd8224a27a01ef39a30a7a156
23 anzsrc-for:11
24 anzsrc-for:1103
25 schema:author N1d75bcf69e7e4c268c5cc3add935273d
26 schema:citation sg:pub.10.1007/s00296-009-1095-0
27 sg:pub.10.1007/s10067-007-0738-3
28 sg:pub.10.1007/s10165-009-0235-4
29 sg:pub.10.1007/s10165-010-0279-5
30 sg:pub.10.1007/s10165-010-0290-x
31 schema:datePublished 2011-02-04
32 schema:datePublishedReg 2011-02-04
33 schema:description To evaluate the responsiveness of power Doppler ultrasonography (PDUS) in comparison with conventional measures of disease activity and structural damage in rheumatoid arthritis (RA) patients receiving tocilizumab (TCZ). Seven RA patients with active arthritis were enrolled in the study and prospectively monitored for 12 months. They were treated with TCZ (8 mg/kg) every 4 weeks as monotherapy or in combination with disease-modifying antirheumatic drugs (DMARDs). Clinical, laboratory, and ultrasound examinations were conducted at baseline, 1, 3, 6, 9, and 12 months. Power Doppler (PD) signals were graded from 0 to 3 in 24 joints, and total PD score was calculated as the sum of scores of individual joints. One-year radiographic progression of the hands was estimated by using Genant-modified Sharp scoring. The averages of the clinical parameters rapidly improved, and all patients achieved good response within 6 months based on standard 28-joint Disease Activity Score (DAS28). Although the average total PD score declined in parallel with clinical improvement, radiography of the hands showed progression of destruction in the joints where PD signals remained, even among clinical responders. ΔSharp score correlated with the time-integrated value (TIV) of total PD scores (Δtotal Sharp score: r = 0.77, P = 0.04; Δerosion: r = 0.78, P = 0.04; Δjoint-space narrowing (JSN): r = 0.75, P = 0.05), but not with TIVs of clinical parameters including DAS28. PDUS can independently evaluate disease activity in RA patients receiving TCZ and is superior to DAS28, especially in predicting joint destruction.
34 schema:genre article
35 schema:inLanguage en
36 schema:isAccessibleForFree true
37 schema:isPartOf N716e8fdb7c81433282b9e8e6e521c29d
38 Ndb007866f300415ea8f18ba62ffa240d
39 sg:journal.1093123
40 schema:keywords DAS28
41 Disease Activity Score
42 Doppler signals
43 Doppler ultrasonography
44 Genant
45 One-year radiographic progression
46 PD scores
47 PD signals
48 RA patients
49 Sharp scoring
50 active arthritis
51 activity
52 activity score
53 antirheumatic drugs
54 arthritis
55 arthritis patients
56 average
57 average total PD score
58 baseline
59 clinical improvement
60 clinical parameters
61 clinical responders
62 combination
63 comparison
64 conventional measures
65 damage
66 data
67 destruction
68 disease activity
69 disease-modifying antirheumatic drugs
70 drugs
71 examination
72 good response
73 hand
74 improvement
75 individual joints
76 joint destruction
77 joints
78 laboratory
79 measures
80 monotherapy
81 months
82 parallel
83 parameters
84 patients
85 power Doppler signal
86 power Doppler ultrasonography
87 progression
88 progression of destruction
89 radiographic progression
90 radiography
91 responders
92 response
93 responsiveness
94 rheumatoid arthritis patients
95 scores
96 scoring
97 signals
98 structural damage
99 study
100 sum
101 sum of scores
102 time-integrated values
103 tocilizumab
104 tocilizumab—preliminary data
105 total PD score
106 ultrasonography
107 ultrasound examination
108 values
109 weeks
110 schema:name Power Doppler ultrasonography is useful for assessing disease activity and predicting joint destruction in rheumatoid arthritis patients receiving tocilizumab—preliminary data
111 schema:pagination 1327-1333
112 schema:productId N055cb187bcb04546a3b6f1b0818d6369
113 N2a52fa3b74204fdb954676e925af6915
114 Ne9c54bbe830d4b2da0752a356d32ae1f
115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028634147
116 https://doi.org/10.1007/s00296-011-1802-5
117 schema:sdDatePublished 2021-12-01T19:25
118 schema:sdLicense https://scigraph.springernature.com/explorer/license/
119 schema:sdPublisher N38105fd8a5a04cef9c4a3461914dad40
120 schema:url https://doi.org/10.1007/s00296-011-1802-5
121 sgo:license sg:explorer/license/
122 sgo:sdDataset articles
123 rdf:type schema:ScholarlyArticle
124 N055cb187bcb04546a3b6f1b0818d6369 schema:name doi
125 schema:value 10.1007/s00296-011-1802-5
126 rdf:type schema:PropertyValue
127 N0d33c00cf2964f13a2f52ab120299110 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Severity of Illness Index
129 rdf:type schema:DefinedTerm
130 N0fd50cccb6304c70a0adf5b5bdbd4615 rdf:first sg:person.01027461256.90
131 rdf:rest N2554a1d7c4ef479e93150849be0c89e9
132 N10115cbc44fa42d29481842984d41224 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Japan
134 rdf:type schema:DefinedTerm
135 N13af7607aa9e453f8f452b80de48bdf3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Observer Variation
137 rdf:type schema:DefinedTerm
138 N13ca71da077e43c0b524da0741b2de87 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Female
140 rdf:type schema:DefinedTerm
141 N1d75bcf69e7e4c268c5cc3add935273d rdf:first sg:person.01203416633.15
142 rdf:rest N938a3d516ea94671b8d3dbc4e9ee52a1
143 N1e4ab7fe0a944904864a8aec80cb8a4e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Prospective Studies
145 rdf:type schema:DefinedTerm
146 N21a9acb75db54396a2c635336b59b8d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Knee Joint
148 rdf:type schema:DefinedTerm
149 N2384fff0722c45b79faa9c98129a26e2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Middle Aged
151 rdf:type schema:DefinedTerm
152 N2554a1d7c4ef479e93150849be0c89e9 rdf:first sg:person.0734336234.36
153 rdf:rest Nce67774fc19f4fb6bc83bf06263b193b
154 N2a52fa3b74204fdb954676e925af6915 schema:name pubmed_id
155 schema:value 21293859
156 rdf:type schema:PropertyValue
157 N38105fd8a5a04cef9c4a3461914dad40 schema:name Springer Nature - SN SciGraph project
158 rdf:type schema:Organization
159 N39707a7079cc43c6b1c7f63b511c3969 rdf:first sg:person.01032032373.04
160 rdf:rest N0fd50cccb6304c70a0adf5b5bdbd4615
161 N47d3ad2cef5444dfb791da32bd29e764 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Arthritis, Rheumatoid
163 rdf:type schema:DefinedTerm
164 N5022c637c08e49b88854b3f585a62e14 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Predictive Value of Tests
166 rdf:type schema:DefinedTerm
167 N5a2be11c8b3b4c9991153661e2dd6f77 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Antibodies, Monoclonal, Humanized
169 rdf:type schema:DefinedTerm
170 N5d08767ef10b496c8e077e7f0ba2efdd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Time Factors
172 rdf:type schema:DefinedTerm
173 N68083cfb126e44bd9e70d5f9f57796ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Reproducibility of Results
175 rdf:type schema:DefinedTerm
176 N6d71f131961544d88f5114ff63367a6c rdf:first sg:person.0756602733.05
177 rdf:rest N79575142e15f4bb38a404004821877d1
178 N716e8fdb7c81433282b9e8e6e521c29d schema:volumeNumber 32
179 rdf:type schema:PublicationVolume
180 N787d0ac48e464abaa46d270d61e64a20 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Hand Joints
182 rdf:type schema:DefinedTerm
183 N79575142e15f4bb38a404004821877d1 rdf:first sg:person.01364010267.46
184 rdf:rest N39707a7079cc43c6b1c7f63b511c3969
185 N7b50e8fb6cef437fa8bc2d786b599d73 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Drug Administration Schedule
187 rdf:type schema:DefinedTerm
188 N938a3d516ea94671b8d3dbc4e9ee52a1 rdf:first sg:person.01077164063.38
189 rdf:rest N6d71f131961544d88f5114ff63367a6c
190 N941d49d2d43d41f9bb001eac28371043 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
191 schema:name Pilot Projects
192 rdf:type schema:DefinedTerm
193 Na1d43e490ba64d72a44b1639d7b062af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Antirheumatic Agents
195 rdf:type schema:DefinedTerm
196 Nbcf3119317e747bc827504b974ab4835 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name Humans
198 rdf:type schema:DefinedTerm
199 Nc7fe5f0b99dd40b786eae071a428218a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
200 schema:name Ultrasonography, Doppler
201 rdf:type schema:DefinedTerm
202 Nce67774fc19f4fb6bc83bf06263b193b rdf:first sg:person.0742073556.08
203 rdf:rest Ncfec3d022b6049fd89f0d21e34195413
204 Ncfec3d022b6049fd89f0d21e34195413 rdf:first sg:person.01125133646.44
205 rdf:rest rdf:nil
206 Nda1b199ae23e48ccb2563131eb55191d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
207 schema:name Drug Therapy, Combination
208 rdf:type schema:DefinedTerm
209 Ndb007866f300415ea8f18ba62ffa240d schema:issueNumber 5
210 rdf:type schema:PublicationIssue
211 Nde0d9c56444e4202b862ea7e72ec8a6c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
212 schema:name Treatment Outcome
213 rdf:type schema:DefinedTerm
214 Ne546e9d3cb324b9b88ddadb4001f48d0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
215 schema:name Aged
216 rdf:type schema:DefinedTerm
217 Ne707170dd8224a27a01ef39a30a7a156 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
218 schema:name Arthrography
219 rdf:type schema:DefinedTerm
220 Ne9c54bbe830d4b2da0752a356d32ae1f schema:name dimensions_id
221 schema:value pub.1028634147
222 rdf:type schema:PropertyValue
223 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
224 schema:name Medical and Health Sciences
225 rdf:type schema:DefinedTerm
226 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
227 schema:name Clinical Sciences
228 rdf:type schema:DefinedTerm
229 sg:journal.1093123 schema:issn 0172-8172
230 1437-160X
231 schema:name Rheumatology International
232 schema:publisher Springer Nature
233 rdf:type schema:Periodical
234 sg:person.01027461256.90 schema:affiliation grid-institutes:grid.268441.d
235 schema:familyName Takeno
236 schema:givenName Mitsuhiro
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027461256.90
238 rdf:type schema:Person
239 sg:person.01032032373.04 schema:affiliation grid-institutes:grid.268441.d
240 schema:familyName Ueda
241 schema:givenName Atsuhisa
242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032032373.04
243 rdf:type schema:Person
244 sg:person.01077164063.38 schema:affiliation grid-institutes:grid.268441.d
245 schema:familyName Uehara
246 schema:givenName Takeaki
247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077164063.38
248 rdf:type schema:Person
249 sg:person.01125133646.44 schema:affiliation grid-institutes:grid.268441.d
250 schema:familyName Ishigatsubo
251 schema:givenName Yoshiaki
252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125133646.44
253 rdf:type schema:Person
254 sg:person.01203416633.15 schema:affiliation grid-institutes:grid.268441.d
255 schema:familyName Hama
256 schema:givenName Maasa
257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203416633.15
258 rdf:type schema:Person
259 sg:person.01364010267.46 schema:affiliation grid-institutes:grid.268441.d
260 schema:familyName Ihata
261 schema:givenName Atsushi
262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364010267.46
263 rdf:type schema:Person
264 sg:person.0734336234.36 schema:affiliation grid-institutes:grid.268441.d
265 schema:familyName Shizukuishi
266 schema:givenName Kazuya
267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734336234.36
268 rdf:type schema:Person
269 sg:person.0742073556.08 schema:affiliation grid-institutes:grid.268441.d
270 schema:familyName Tateishi
271 schema:givenName Ukihide
272 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0742073556.08
273 rdf:type schema:Person
274 sg:person.0756602733.05 schema:affiliation grid-institutes:grid.268441.d
275 schema:familyName Takase
276 schema:givenName Kaoru
277 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756602733.05
278 rdf:type schema:Person
279 sg:pub.10.1007/s00296-009-1095-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045997240
280 https://doi.org/10.1007/s00296-009-1095-0
281 rdf:type schema:CreativeWork
282 sg:pub.10.1007/s10067-007-0738-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030310685
283 https://doi.org/10.1007/s10067-007-0738-3
284 rdf:type schema:CreativeWork
285 sg:pub.10.1007/s10165-009-0235-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044780708
286 https://doi.org/10.1007/s10165-009-0235-4
287 rdf:type schema:CreativeWork
288 sg:pub.10.1007/s10165-010-0279-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053539688
289 https://doi.org/10.1007/s10165-010-0279-5
290 rdf:type schema:CreativeWork
291 sg:pub.10.1007/s10165-010-0290-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023708237
292 https://doi.org/10.1007/s10165-010-0290-x
293 rdf:type schema:CreativeWork
294 grid-institutes:grid.268441.d schema:alternateName Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan
295 Department of Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
296 schema:name Department of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004 Kanagawa Japan
297 Department of Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
298 rdf:type schema:Organization
 




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


...