Correlations of C-reactive Protein Levels and Erythrocyte Sedimentation Rates with Endoscopic Activity Indices in Patients with Ulcerative Colitis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-12-19

AUTHORS

Jin Young Yoon, Soo Jung Park, Sung Pil Hong, Tae Il Kim, Won Ho Kim, Jae Hee Cheon

ABSTRACT

BackgroundAccurate assessment of endoscopic severity is essential to the early detection of relapses and treatment of patients with ulcerative colitis (UC). However, the relationships between non-invasive biomarkers and invasive endoscopic severity indices remain poorly understood.MethodsA total of 722 endoscopies in 552 patients were evaluated in this study. Endoscopic activity was assessed using five widely used endoscopic scoring systems: the Powell-Tuck assessment, Mayo Endoscopic Score, modified Baron Score, Rachmilewitz Endoscopic Activity Index, and Hanauer’s Sigmoidoscopic Index. These five indices were compared with two non-invasive biomarkers, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) levels.ResultsThe Pearson’s correlation coefficients of CRP and ESR with endoscopic indices were r = 0.457 and 0.342 in the Powell-Tuck assessment, r = 0.503 and r = 0.402 in the Mayo Endoscopic Score, r = 0.507 and 0.408 in Hanauer’s Sigmoidoscopic Index, r = 0.520 and 0.433 in the modified Baron Score, and r = 0.523 and 0.435 in the Rachmilewitz Endoscopic Activity Index. Sensitivity and specificity ranges for CRP and ESR were 50.5–53.3 % and 68.7–71.3 % and 85.1–87.2 % and 63.4–66.4 %, respectively, for the detection of endoscopic remission using the five endoscopic indices.ConclusionsCRP and ESR levels were modestly correlated with endoscopic activity indices in UC patients. However, the low sensitivities for detecting endoscopic remission suggest that CRP or ESR alone is not sufficient to reflect endoscopic severity accurately. More... »

PAGES

829-837

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10620-013-2907-3

DOI

http://dx.doi.org/10.1007/s10620-013-2907-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016931048

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24352705


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": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "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": "Blood Sedimentation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "C-Reactive Protein", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Colitis, Ulcerative", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Colonoscopy", 
        "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": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "ROC Curve", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Severity of Illness Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sigmoidoscopy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoon", 
        "givenName": "Jin Young", 
        "id": "sg:person.0653334130.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653334130.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Soo Jung", 
        "id": "sg:person.0733275532.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733275532.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hong", 
        "givenName": "Sung Pil", 
        "id": "sg:person.01120052374.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120052374.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Tae Il", 
        "id": "sg:person.015302742440.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015302742440.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea", 
            "Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Won Ho", 
        "id": "sg:person.010230411467.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010230411467.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea", 
            "Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cheon", 
        "givenName": "Jae Hee", 
        "id": "sg:person.01361111112.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361111112.51"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1111/j.1572-0241.2007.01556.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027137671", 
          "https://doi.org/10.1111/j.1572-0241.2007.01556.x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10620-008-0514-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008720080", 
          "https://doi.org/10.1007/s10620-008-0514-5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-12-19", 
    "datePublishedReg": "2013-12-19", 
    "description": "BackgroundAccurate assessment of endoscopic severity is essential to the early detection of relapses and treatment of patients with ulcerative colitis (UC). However, the relationships between non-invasive biomarkers and invasive endoscopic severity indices remain poorly understood.MethodsA total of 722 endoscopies in 552 patients were evaluated in this study. Endoscopic activity was assessed using five widely used endoscopic scoring systems: the Powell-Tuck assessment, Mayo Endoscopic Score, modified Baron Score, Rachmilewitz Endoscopic Activity Index, and Hanauer\u2019s Sigmoidoscopic Index. These five indices were compared with two non-invasive biomarkers, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) levels.ResultsThe Pearson\u2019s correlation coefficients of CRP and ESR with endoscopic indices were r\u00a0=\u00a00.457 and 0.342 in the Powell-Tuck assessment, r\u00a0=\u00a00.503 and r\u00a0=\u00a00.402 in the Mayo Endoscopic Score, r\u00a0=\u00a00.507 and 0.408 in Hanauer\u2019s Sigmoidoscopic Index, r\u00a0=\u00a00.520 and 0.433 in the modified Baron Score, and r\u00a0=\u00a00.523 and 0.435 in the Rachmilewitz Endoscopic Activity Index. Sensitivity and specificity ranges for CRP and ESR were 50.5\u201353.3\u00a0% and 68.7\u201371.3\u00a0% and  85.1\u201387.2\u00a0% and 63.4\u201366.4\u00a0%, respectively, for the detection of endoscopic remission using the five endoscopic indices.ConclusionsCRP and ESR levels were modestly correlated with endoscopic activity indices in UC patients. However, the low sensitivities for detecting endoscopic remission suggest that CRP or ESR alone is not sufficient to reflect endoscopic severity accurately.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10620-013-2907-3", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018525", 
        "issn": [
          "0163-2116", 
          "1573-2568"
        ], 
        "name": "Digestive Diseases and Sciences", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "59"
      }
    ], 
    "keywords": [
      "erythrocyte sedimentation rate", 
      "endoscopic activity index", 
      "Rachmilewitz endoscopic activity index", 
      "reactive protein levels", 
      "Mayo endoscopic score", 
      "non-invasive biomarkers", 
      "ulcerative colitis", 
      "activity index", 
      "endoscopic remission", 
      "endoscopic score", 
      "endoscopic severity", 
      "endoscopic index", 
      "Baron score", 
      "endoscopic scoring system", 
      "treatment of patients", 
      "protein levels", 
      "ESR levels", 
      "UC patients", 
      "endoscopic activity", 
      "sedimentation rate", 
      "ResultsThe Pearson correlation coefficient", 
      "BackgroundAccurate assessment", 
      "patients", 
      "scoring system", 
      "CRP", 
      "early detection", 
      "Severity Index", 
      "Pearson correlation coefficient", 
      "remission", 
      "colitis", 
      "scores", 
      "severity", 
      "biomarkers", 
      "correlation coefficient", 
      "low sensitivity", 
      "index", 
      "ConclusionsCRP", 
      "assessment", 
      "relapse", 
      "endoscopy", 
      "levels", 
      "specificity range", 
      "treatment", 
      "total", 
      "sensitivity", 
      "rate", 
      "activity", 
      "detection", 
      "study", 
      "correlation", 
      "relationship", 
      "range", 
      "system", 
      "coefficient", 
      "invasive endoscopic severity indices", 
      "endoscopic severity indices", 
      "Powell-Tuck assessment", 
      "Hanauer\u2019s Sigmoidoscopic Index", 
      "\u2019s Sigmoidoscopic Index"
    ], 
    "name": "Correlations of C-reactive Protein Levels and Erythrocyte Sedimentation Rates with Endoscopic Activity Indices in Patients with Ulcerative Colitis", 
    "pagination": "829-837", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016931048"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10620-013-2907-3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24352705"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10620-013-2907-3", 
      "https://app.dimensions.ai/details/publication/pub.1016931048"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:28", 
    "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_591.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10620-013-2907-3"
  }
]
 

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/s10620-013-2907-3'

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/s10620-013-2907-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10620-013-2907-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10620-013-2907-3'


 

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

238 TRIPLES      22 PREDICATES      105 URIs      95 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10620-013-2907-3 schema:about N06bf799b539e46698272c5a3bec5973e
2 N38d183fd17e34170ae77f9c8252982c0
3 N3c9792104378487f9dd2c9c01bae138c
4 N45de50a8b546422da0bacb53dbddff12
5 N497c9361d1574bc281a696ca15f73eab
6 N693f87d14c374ac08ac0a13b42801c19
7 N6fcfd9023516442486cfe9e83076aefb
8 N7092238bc8804aa08787d5bde2838528
9 N861c3dbdca37488fb1d0ae6173216de5
10 N86ba268f81414769a481c7ae58049f93
11 N997b5b280fb145b5b01b344d10051dd3
12 N9e7cf1476cde42aab1e9eafd3ef15d92
13 Nbb476690f91445b78a42cbb379624582
14 Nc0c5c934588c46ab81fee5031156b5e8
15 Ncbbeec5bcca54bc6b59e722ec1b0ad0c
16 Ndf57151364e246c2ad9ad205defc7b12
17 Neb4cb420ab7b4b34af617e1dc72be83d
18 Need0473547794fb2bd4aacb70be196ca
19 anzsrc-for:11
20 anzsrc-for:1103
21 schema:author Nf47cf1c75bb845e399a12c7ab66f8324
22 schema:citation sg:pub.10.1007/s10620-008-0514-5
23 sg:pub.10.1111/j.1572-0241.2007.01556.x
24 schema:datePublished 2013-12-19
25 schema:datePublishedReg 2013-12-19
26 schema:description BackgroundAccurate assessment of endoscopic severity is essential to the early detection of relapses and treatment of patients with ulcerative colitis (UC). However, the relationships between non-invasive biomarkers and invasive endoscopic severity indices remain poorly understood.MethodsA total of 722 endoscopies in 552 patients were evaluated in this study. Endoscopic activity was assessed using five widely used endoscopic scoring systems: the Powell-Tuck assessment, Mayo Endoscopic Score, modified Baron Score, Rachmilewitz Endoscopic Activity Index, and Hanauer’s Sigmoidoscopic Index. These five indices were compared with two non-invasive biomarkers, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) levels.ResultsThe Pearson’s correlation coefficients of CRP and ESR with endoscopic indices were r = 0.457 and 0.342 in the Powell-Tuck assessment, r = 0.503 and r = 0.402 in the Mayo Endoscopic Score, r = 0.507 and 0.408 in Hanauer’s Sigmoidoscopic Index, r = 0.520 and 0.433 in the modified Baron Score, and r = 0.523 and 0.435 in the Rachmilewitz Endoscopic Activity Index. Sensitivity and specificity ranges for CRP and ESR were 50.5–53.3 % and 68.7–71.3 % and 85.1–87.2 % and 63.4–66.4 %, respectively, for the detection of endoscopic remission using the five endoscopic indices.ConclusionsCRP and ESR levels were modestly correlated with endoscopic activity indices in UC patients. However, the low sensitivities for detecting endoscopic remission suggest that CRP or ESR alone is not sufficient to reflect endoscopic severity accurately.
27 schema:genre article
28 schema:inLanguage en
29 schema:isAccessibleForFree false
30 schema:isPartOf N19e748c5aa194aa88ced8db2b06f7442
31 N223ebb6a0b0f41acbf4c0fde7d3976db
32 sg:journal.1018525
33 schema:keywords BackgroundAccurate assessment
34 Baron score
35 CRP
36 ConclusionsCRP
37 ESR levels
38 Hanauer’s Sigmoidoscopic Index
39 Mayo endoscopic score
40 Pearson correlation coefficient
41 Powell-Tuck assessment
42 Rachmilewitz endoscopic activity index
43 ResultsThe Pearson correlation coefficient
44 Severity Index
45 UC patients
46 activity
47 activity index
48 assessment
49 biomarkers
50 coefficient
51 colitis
52 correlation
53 correlation coefficient
54 detection
55 early detection
56 endoscopic activity
57 endoscopic activity index
58 endoscopic index
59 endoscopic remission
60 endoscopic score
61 endoscopic scoring system
62 endoscopic severity
63 endoscopic severity indices
64 endoscopy
65 erythrocyte sedimentation rate
66 index
67 invasive endoscopic severity indices
68 levels
69 low sensitivity
70 non-invasive biomarkers
71 patients
72 protein levels
73 range
74 rate
75 reactive protein levels
76 relapse
77 relationship
78 remission
79 scores
80 scoring system
81 sedimentation rate
82 sensitivity
83 severity
84 specificity range
85 study
86 system
87 total
88 treatment
89 treatment of patients
90 ulcerative colitis
91 ’s Sigmoidoscopic Index
92 schema:name Correlations of C-reactive Protein Levels and Erythrocyte Sedimentation Rates with Endoscopic Activity Indices in Patients with Ulcerative Colitis
93 schema:pagination 829-837
94 schema:productId N34a961242d484b77a568138ce51850af
95 N7a7256bc0a6e4d7ab32e861456e4b747
96 N883ae0ae6ef445c695af62e5d94d73ae
97 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016931048
98 https://doi.org/10.1007/s10620-013-2907-3
99 schema:sdDatePublished 2021-12-01T19:28
100 schema:sdLicense https://scigraph.springernature.com/explorer/license/
101 schema:sdPublisher Nee1430b3ebae4dc99742746d479a511f
102 schema:url https://doi.org/10.1007/s10620-013-2907-3
103 sgo:license sg:explorer/license/
104 sgo:sdDataset articles
105 rdf:type schema:ScholarlyArticle
106 N02b8e1711e864c3399c49f9e8a437f38 rdf:first sg:person.010230411467.68
107 rdf:rest Nb7cbc716529b4851bfe0f75c913a3f2e
108 N06bf799b539e46698272c5a3bec5973e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Adolescent
110 rdf:type schema:DefinedTerm
111 N19e748c5aa194aa88ced8db2b06f7442 schema:volumeNumber 59
112 rdf:type schema:PublicationVolume
113 N223ebb6a0b0f41acbf4c0fde7d3976db schema:issueNumber 4
114 rdf:type schema:PublicationIssue
115 N34a961242d484b77a568138ce51850af schema:name pubmed_id
116 schema:value 24352705
117 rdf:type schema:PropertyValue
118 N38d183fd17e34170ae77f9c8252982c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name C-Reactive Protein
120 rdf:type schema:DefinedTerm
121 N3c9792104378487f9dd2c9c01bae138c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Sigmoidoscopy
123 rdf:type schema:DefinedTerm
124 N45de50a8b546422da0bacb53dbddff12 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Middle Aged
126 rdf:type schema:DefinedTerm
127 N497c9361d1574bc281a696ca15f73eab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Colitis, Ulcerative
129 rdf:type schema:DefinedTerm
130 N693f87d14c374ac08ac0a13b42801c19 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Aged, 80 and over
132 rdf:type schema:DefinedTerm
133 N6fcfd9023516442486cfe9e83076aefb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Male
135 rdf:type schema:DefinedTerm
136 N7092238bc8804aa08787d5bde2838528 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Female
138 rdf:type schema:DefinedTerm
139 N7a7256bc0a6e4d7ab32e861456e4b747 schema:name doi
140 schema:value 10.1007/s10620-013-2907-3
141 rdf:type schema:PropertyValue
142 N82079456948649508d02305b70da0fb1 rdf:first sg:person.015302742440.35
143 rdf:rest N02b8e1711e864c3399c49f9e8a437f38
144 N84d3d5d8eeac4ed8ae0e0a3df2038348 rdf:first sg:person.0733275532.51
145 rdf:rest N8a58b8d22270420dae0d0f3c4cd06aff
146 N861c3dbdca37488fb1d0ae6173216de5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Young Adult
148 rdf:type schema:DefinedTerm
149 N86ba268f81414769a481c7ae58049f93 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Retrospective Studies
151 rdf:type schema:DefinedTerm
152 N883ae0ae6ef445c695af62e5d94d73ae schema:name dimensions_id
153 schema:value pub.1016931048
154 rdf:type schema:PropertyValue
155 N8a58b8d22270420dae0d0f3c4cd06aff rdf:first sg:person.01120052374.02
156 rdf:rest N82079456948649508d02305b70da0fb1
157 N997b5b280fb145b5b01b344d10051dd3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Blood Sedimentation
159 rdf:type schema:DefinedTerm
160 N9e7cf1476cde42aab1e9eafd3ef15d92 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Colonoscopy
162 rdf:type schema:DefinedTerm
163 Nb7cbc716529b4851bfe0f75c913a3f2e rdf:first sg:person.01361111112.51
164 rdf:rest rdf:nil
165 Nbb476690f91445b78a42cbb379624582 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Sensitivity and Specificity
167 rdf:type schema:DefinedTerm
168 Nc0c5c934588c46ab81fee5031156b5e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Severity of Illness Index
170 rdf:type schema:DefinedTerm
171 Ncbbeec5bcca54bc6b59e722ec1b0ad0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Humans
173 rdf:type schema:DefinedTerm
174 Ndf57151364e246c2ad9ad205defc7b12 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Adult
176 rdf:type schema:DefinedTerm
177 Neb4cb420ab7b4b34af617e1dc72be83d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Aged
179 rdf:type schema:DefinedTerm
180 Nee1430b3ebae4dc99742746d479a511f schema:name Springer Nature - SN SciGraph project
181 rdf:type schema:Organization
182 Need0473547794fb2bd4aacb70be196ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name ROC Curve
184 rdf:type schema:DefinedTerm
185 Nf47cf1c75bb845e399a12c7ab66f8324 rdf:first sg:person.0653334130.88
186 rdf:rest N84d3d5d8eeac4ed8ae0e0a3df2038348
187 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
188 schema:name Medical and Health Sciences
189 rdf:type schema:DefinedTerm
190 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
191 schema:name Clinical Sciences
192 rdf:type schema:DefinedTerm
193 sg:journal.1018525 schema:issn 0163-2116
194 1573-2568
195 schema:name Digestive Diseases and Sciences
196 schema:publisher Springer Nature
197 rdf:type schema:Periodical
198 sg:person.010230411467.68 schema:affiliation grid-institutes:grid.15444.30
199 schema:familyName Kim
200 schema:givenName Won Ho
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010230411467.68
202 rdf:type schema:Person
203 sg:person.01120052374.02 schema:affiliation grid-institutes:grid.15444.30
204 schema:familyName Hong
205 schema:givenName Sung Pil
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120052374.02
207 rdf:type schema:Person
208 sg:person.01361111112.51 schema:affiliation grid-institutes:grid.15444.30
209 schema:familyName Cheon
210 schema:givenName Jae Hee
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361111112.51
212 rdf:type schema:Person
213 sg:person.015302742440.35 schema:affiliation grid-institutes:grid.15444.30
214 schema:familyName Kim
215 schema:givenName Tae Il
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015302742440.35
217 rdf:type schema:Person
218 sg:person.0653334130.88 schema:affiliation grid-institutes:grid.15444.30
219 schema:familyName Yoon
220 schema:givenName Jin Young
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0653334130.88
222 rdf:type schema:Person
223 sg:person.0733275532.51 schema:affiliation grid-institutes:grid.15444.30
224 schema:familyName Park
225 schema:givenName Soo Jung
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733275532.51
227 rdf:type schema:Person
228 sg:pub.10.1007/s10620-008-0514-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008720080
229 https://doi.org/10.1007/s10620-008-0514-5
230 rdf:type schema:CreativeWork
231 sg:pub.10.1111/j.1572-0241.2007.01556.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027137671
232 https://doi.org/10.1111/j.1572-0241.2007.01556.x
233 rdf:type schema:CreativeWork
234 grid-institutes:grid.15444.30 schema:alternateName Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
235 Department of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea
236 schema:name Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
237 Department of Internal Medicine and Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea
238 rdf:type schema:Organization
 




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


...