Cohort Study in COPD: Introduction to COPD Cohorts (The KOLD and COPDGene Study) and Collaborative Approaches View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Deog Kyeom Kim

ABSTRACT

COPD is regarded as an umbrella term containing heterogeneous clinical, radiographic, and physiological features. Heterogeneous phenotypes and even endotypes of COPD have been identified and characterized through various COPD cohort studies.While observational cohorts including birth cohorts may have merits on identifying etiologic exposure and incidence of targeted disease, majority of currently active COPD cohorts showed great outcomes in clarifying the clinical characteristics of COPD. Additionally combining case-control design and comparing with the healthy smokers, they revealed new findings contributing to the development and disease progression of COPD.KOLD (Korean Obstructive Lung Disease) study is the first large well-organized Korean COPD cohort and COPDGene study is one of the largest studies to investigate the genetic factors of COPD in Americans. The KOLD and COPDGene are leading long-term prospective cohort investigating heterogeneity of COPD in Asia and America. A lot of clinical, radiographic, and genomic studies can be performed through these COPD cohorts.Despite the contribution of current COPD cohorts, a collaborative cohort study has become to be mandatory in COPD research area to overcome the heterogeneity of COPD and achieve the sufficient statistical power based on the technical advances and expansion of our knowledge on COPD. Collaboration among cohort study can be activated entire the course of cohort study from designing the cohort to final analysis, and the collaborative approaches are expected to compensate the limitations of current COPD cohorts. More... »

PAGES

313-320

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-47178-4_21

DOI

http://dx.doi.org/10.1007/978-3-662-47178-4_21

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092151273


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.412479.d", 
          "name": [
            "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Deog Kyeom", 
        "id": "sg:person.01056075764.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01056075764.02"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2017", 
    "datePublishedReg": "2017-01-01", 
    "description": "COPD is regarded as an umbrella term containing heterogeneous clinical, radiographic, and physiological features. Heterogeneous phenotypes and even endotypes of COPD have been identified and characterized through various COPD cohort studies.While observational cohorts including birth cohorts may have merits on identifying etiologic exposure and incidence of targeted disease, majority of currently active COPD cohorts showed great outcomes in clarifying the clinical characteristics of COPD. Additionally combining case-control design and comparing with the healthy smokers, they revealed new findings contributing to the development and disease progression of COPD.KOLD (Korean Obstructive Lung Disease) study is the first large well-organized Korean COPD cohort and COPDGene study is one of the largest studies to investigate the genetic factors of COPD in Americans. The KOLD and COPDGene are leading long-term prospective cohort investigating heterogeneity of COPD in Asia and America. A lot of clinical, radiographic, and genomic studies can be performed through these COPD cohorts.Despite the contribution of current COPD cohorts, a collaborative cohort study has become to be mandatory in COPD research area to overcome the heterogeneity of COPD and achieve the sufficient statistical power based on the technical advances and expansion of our knowledge on COPD. Collaboration among cohort study can be activated entire the course of cohort study from designing the cohort to final analysis, and the collaborative approaches are expected to compensate the limitations of current COPD cohorts.", 
    "editor": [
      {
        "familyName": "Lee", 
        "givenName": "Sang-Do", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-662-47178-4_21", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-662-47177-7", 
        "978-3-662-47178-4"
      ], 
      "name": "COPD", 
      "type": "Book"
    }, 
    "keywords": [
      "heterogeneity of COPD", 
      "cohort study", 
      "COPD cohort", 
      "long-term prospective cohort", 
      "COPD cohort study", 
      "Korean COPD cohort", 
      "Collaborative Cohort Study", 
      "case-control design", 
      "observational cohort", 
      "clinical characteristics", 
      "healthy smokers", 
      "prospective cohort", 
      "etiologic exposures", 
      "disease progression", 
      "COPD", 
      "birth cohort", 
      "cohort", 
      "larger study", 
      "sufficient statistical power", 
      "COPDGene study", 
      "final analysis", 
      "genetic factors", 
      "heterogeneous phenotypes", 
      "collaborative approach", 
      "endotypes", 
      "smokers", 
      "great outcomes", 
      "statistical power", 
      "technical advances", 
      "COPDGene", 
      "physiological features", 
      "study", 
      "new findings", 
      "incidence", 
      "disease", 
      "progression", 
      "umbrella term", 
      "outcomes", 
      "exposure", 
      "phenotype", 
      "heterogeneity", 
      "majority", 
      "findings", 
      "course", 
      "Americans", 
      "factors", 
      "genomic studies", 
      "advances", 
      "development", 
      "knowledge", 
      "Kold", 
      "analysis", 
      "features", 
      "area", 
      "limitations", 
      "characteristics", 
      "collaboration", 
      "approach", 
      "introduction", 
      "Asia", 
      "expansion", 
      "America", 
      "terms", 
      "contribution", 
      "design", 
      "research area", 
      "merits", 
      "power"
    ], 
    "name": "Cohort Study in COPD: Introduction to COPD Cohorts (The KOLD and COPDGene Study) and Collaborative Approaches", 
    "pagination": "313-320", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092151273"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-662-47178-4_21"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-662-47178-4_21", 
      "https://app.dimensions.ai/details/publication/pub.1092151273"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-10-01T06:57", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/chapter/chapter_340.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-662-47178-4_21"
  }
]
 

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.10.1007/978-3-662-47178-4_21'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-47178-4_21'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-47178-4_21'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-47178-4_21'


 

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

127 TRIPLES      22 PREDICATES      93 URIs      86 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-662-47178-4_21 schema:about anzsrc-for:11
2 anzsrc-for:1102
3 schema:author Nedbe3889fbe045d2b80dbec3eeab07cd
4 schema:datePublished 2017
5 schema:datePublishedReg 2017-01-01
6 schema:description COPD is regarded as an umbrella term containing heterogeneous clinical, radiographic, and physiological features. Heterogeneous phenotypes and even endotypes of COPD have been identified and characterized through various COPD cohort studies.While observational cohorts including birth cohorts may have merits on identifying etiologic exposure and incidence of targeted disease, majority of currently active COPD cohorts showed great outcomes in clarifying the clinical characteristics of COPD. Additionally combining case-control design and comparing with the healthy smokers, they revealed new findings contributing to the development and disease progression of COPD.KOLD (Korean Obstructive Lung Disease) study is the first large well-organized Korean COPD cohort and COPDGene study is one of the largest studies to investigate the genetic factors of COPD in Americans. The KOLD and COPDGene are leading long-term prospective cohort investigating heterogeneity of COPD in Asia and America. A lot of clinical, radiographic, and genomic studies can be performed through these COPD cohorts.Despite the contribution of current COPD cohorts, a collaborative cohort study has become to be mandatory in COPD research area to overcome the heterogeneity of COPD and achieve the sufficient statistical power based on the technical advances and expansion of our knowledge on COPD. Collaboration among cohort study can be activated entire the course of cohort study from designing the cohort to final analysis, and the collaborative approaches are expected to compensate the limitations of current COPD cohorts.
7 schema:editor Nc68d53ace7444e43beafc07970f2f6b7
8 schema:genre chapter
9 schema:isAccessibleForFree false
10 schema:isPartOf Ndafc224d6c9e4927b3eaa485bb25bd23
11 schema:keywords America
12 Americans
13 Asia
14 COPD
15 COPD cohort
16 COPD cohort study
17 COPDGene
18 COPDGene study
19 Collaborative Cohort Study
20 Kold
21 Korean COPD cohort
22 advances
23 analysis
24 approach
25 area
26 birth cohort
27 case-control design
28 characteristics
29 clinical characteristics
30 cohort
31 cohort study
32 collaboration
33 collaborative approach
34 contribution
35 course
36 design
37 development
38 disease
39 disease progression
40 endotypes
41 etiologic exposures
42 expansion
43 exposure
44 factors
45 features
46 final analysis
47 findings
48 genetic factors
49 genomic studies
50 great outcomes
51 healthy smokers
52 heterogeneity
53 heterogeneity of COPD
54 heterogeneous phenotypes
55 incidence
56 introduction
57 knowledge
58 larger study
59 limitations
60 long-term prospective cohort
61 majority
62 merits
63 new findings
64 observational cohort
65 outcomes
66 phenotype
67 physiological features
68 power
69 progression
70 prospective cohort
71 research area
72 smokers
73 statistical power
74 study
75 sufficient statistical power
76 technical advances
77 terms
78 umbrella term
79 schema:name Cohort Study in COPD: Introduction to COPD Cohorts (The KOLD and COPDGene Study) and Collaborative Approaches
80 schema:pagination 313-320
81 schema:productId N7a200e2594bd4a3283a4f95fbe4fe3df
82 N97f97a3c19d6440f91a0d6cb3bbb102c
83 schema:publisher Ncc8419ef622b430bb863750dfe695e3c
84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092151273
85 https://doi.org/10.1007/978-3-662-47178-4_21
86 schema:sdDatePublished 2022-10-01T06:57
87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
88 schema:sdPublisher N3a25056bba894f46a12c831242cbc615
89 schema:url https://doi.org/10.1007/978-3-662-47178-4_21
90 sgo:license sg:explorer/license/
91 sgo:sdDataset chapters
92 rdf:type schema:Chapter
93 N3a25056bba894f46a12c831242cbc615 schema:name Springer Nature - SN SciGraph project
94 rdf:type schema:Organization
95 N7a200e2594bd4a3283a4f95fbe4fe3df schema:name dimensions_id
96 schema:value pub.1092151273
97 rdf:type schema:PropertyValue
98 N97f97a3c19d6440f91a0d6cb3bbb102c schema:name doi
99 schema:value 10.1007/978-3-662-47178-4_21
100 rdf:type schema:PropertyValue
101 Nabdcbc6c77a44db98b15a4b5af54b443 schema:familyName Lee
102 schema:givenName Sang-Do
103 rdf:type schema:Person
104 Nc68d53ace7444e43beafc07970f2f6b7 rdf:first Nabdcbc6c77a44db98b15a4b5af54b443
105 rdf:rest rdf:nil
106 Ncc8419ef622b430bb863750dfe695e3c schema:name Springer Nature
107 rdf:type schema:Organisation
108 Ndafc224d6c9e4927b3eaa485bb25bd23 schema:isbn 978-3-662-47177-7
109 978-3-662-47178-4
110 schema:name COPD
111 rdf:type schema:Book
112 Nedbe3889fbe045d2b80dbec3eeab07cd rdf:first sg:person.01056075764.02
113 rdf:rest rdf:nil
114 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
115 schema:name Medical and Health Sciences
116 rdf:type schema:DefinedTerm
117 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
118 schema:name Cardiorespiratory Medicine and Haematology
119 rdf:type schema:DefinedTerm
120 sg:person.01056075764.02 schema:affiliation grid-institutes:grid.412479.d
121 schema:familyName Kim
122 schema:givenName Deog Kyeom
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01056075764.02
124 rdf:type schema:Person
125 grid-institutes:grid.412479.d schema:alternateName Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
126 schema:name Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
127 rdf:type schema:Organization
 




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


...