Prevalence and risk factors of superior segmental optic hypoplasia in a Korean population: the Korea National Health and Nutrition Examination ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Sam Seo, Chong Eun Lee, Dai Woo Kim, Young Kook Kim, Jin Wook Jeoung, Chan Yun Kim, Se Woong Kang, Ki Ho Park, Epidemiologic Survey Committee of the Korean Ophthalmological Society

ABSTRACT

BACKGROUND: This study investigated the prevalence and risk factors for superior segmental optic hypoplasia (SSOH) in a Korean population based on the data from the nationwide Korea National Health and Nutrition Examination Survey (KNHANES). METHODS: We performed a retrospective review of the KNHANES dataset covering January 2012 to December 2012. The study population comprised 5,612 subjects (≥19 years of age) who had participated in a medical interview covering demographic and systemic information, been issued a questionnaire regarding associated SSOH risk factors including gender, age, systemic disease, and family history, and had undergone an ophthalmologic examination. Two masked readers evaluated fundus photography, paying special attention to the presence of SSOH. Associations of risk factors (identified in the medical interview portion) with SSOH prevalence were investigated using multivariate logistic regression analysis. RESULTS: SSOH was detected in 16 eyes of 14 subjects, or 0.24% of the 5,612 subjects. All 16 eyes showed a corresponding visual-field defect. In multivariate logistic regression analyses, maternal history of diabetes (Odds ratio (OR), 7.666; 95% Confidence interval (CI), 2.601 ~ 22.593, p < 0.001) and paternal history of ischemic heart disease (IHD) (OR, 11.105; CI, 3.361 ~ 36.686, p < 0.001) were associated with increased risk of SSOH. CONCLUSIONS: This study provides the first representative population-based data on SSOH prevalence in Korea. Additionally, multivariate analyses revealed that a history of maternal diabetes and paternal IHD was the most important factor influencing the prevalence of SSOH. More... »

PAGES

157

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2415-14-157

DOI

http://dx.doi.org/10.1186/1471-2415-14-157

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1026010869

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25510911


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "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": "Asian Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diagnostic Techniques, Ophthalmological", 
        "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": "Nutrition Surveys", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Optic Disk", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Optic Nerve Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Photography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prevalence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Republic of Korea", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surveys and Questionnaires", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vision Disorders", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Visual Fields", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-roJongno-gu, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Seo", 
        "givenName": "Sam", 
        "id": "sg:person.01365126224.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365126224.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-roJongno-gu, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Chong Eun", 
        "id": "sg:person.01271055355.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271055355.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-roJongno-gu, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Dai Woo", 
        "id": "sg:person.01247636043.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247636043.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jeju National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411842.a", 
          "name": [
            "Department of Ophthalmology, Jeju National University Hospital, 15, Aran-13-gil, 690-767, Jeju-si, Jeju, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Young Kook", 
        "id": "sg:person.01341123542.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341123542.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-roJongno-gu, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeoung", 
        "givenName": "Jin Wook", 
        "id": "sg:person.01165265652.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165265652.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yonsei University", 
          "id": "https://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "The Institute of Vision Research, Department of Ophthalmology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Chan Yun", 
        "id": "sg:person.01225036155.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225036155.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kang", 
        "givenName": "Se Woong", 
        "id": "sg:person.01072467163.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072467163.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-roJongno-gu, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Ki Ho", 
        "id": "sg:person.01233401052.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233401052.25"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Epidemiologic Survey Committee of the Korean Ophthalmological Society", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0002-9394(98)00016-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004381882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archpedi.1985.02140050043019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006991201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archneur.1986.00520010016013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016753872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archopht.1977.04450020055011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019025248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2165/11588720-000000000-00000", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022050100", 
          "https://doi.org/10.2165/11588720-000000000-00000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bjo.86.8.910", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032524964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10384-004-0120-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041809257", 
          "https://doi.org/10.1007/s10384-004-0120-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archopht.1989.01070020382040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044131484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10384-009-0663-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045116373", 
          "https://doi.org/10.1007/s10384-009-0663-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10384-009-0663-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045116373", 
          "https://doi.org/10.1007/s10384-009-0663-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10384-009-0663-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045116373", 
          "https://doi.org/10.1007/s10384-009-0663-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archopht.1984.01040030046032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047989789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(93)91075-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049605870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(93)91075-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049605870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9394(99)00040-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051767252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076587383", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082764869", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "BACKGROUND: This study investigated the prevalence and risk factors for superior segmental optic hypoplasia (SSOH) in a Korean population based on the data from the nationwide Korea National Health and Nutrition Examination Survey (KNHANES).\nMETHODS: We performed a retrospective review of the KNHANES dataset covering January 2012 to December 2012. The study population comprised 5,612 subjects (\u226519 years of age) who had participated in a medical interview covering demographic and systemic information, been issued a questionnaire regarding associated SSOH risk factors including gender, age, systemic disease, and family history, and had undergone an ophthalmologic examination. Two masked readers evaluated fundus photography, paying special attention to the presence of SSOH. Associations of risk factors (identified in the medical interview portion) with SSOH prevalence were investigated using multivariate logistic regression analysis.\nRESULTS: SSOH was detected in 16 eyes of 14 subjects, or 0.24% of the 5,612 subjects. All 16 eyes showed a corresponding visual-field defect. In multivariate logistic regression analyses, maternal history of diabetes (Odds ratio (OR), 7.666; 95% Confidence interval (CI), 2.601 ~ 22.593, p < 0.001) and paternal history of ischemic heart disease (IHD) (OR, 11.105; CI, 3.361 ~ 36.686, p < 0.001) were associated with increased risk of SSOH.\nCONCLUSIONS: This study provides the first representative population-based data on SSOH prevalence in Korea. Additionally, multivariate analyses revealed that a history of maternal diabetes and paternal IHD was the most important factor influencing the prevalence of SSOH.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2415-14-157", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024634", 
        "issn": [
          "1471-2415"
        ], 
        "name": "BMC Ophthalmology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "name": "Prevalence and risk factors of superior segmental optic hypoplasia in a Korean population: the Korea National Health and Nutrition Examination Survey", 
    "pagination": "157", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7bea43e5ecf544e9b82656bcec756a7263b40d644799bb0ec564333c06f8c13b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25510911"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100967802"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2415-14-157"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1026010869"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2415-14-157", 
      "https://app.dimensions.ai/details/publication/pub.1026010869"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:20", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8675_00000513.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2415-14-157"
  }
]
 

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.10.1186/1471-2415-14-157'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2415-14-157'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2415-14-157'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2415-14-157'


 

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

263 TRIPLES      21 PREDICATES      64 URIs      42 LITERALS      30 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2415-14-157 schema:about N012c14e7406f4ee3ad8811f3ac7164c3
2 N0cb1e47c357f461487bb4388dd0f5dd8
3 N44cdb9c442124e089e1137084ae30feb
4 N45f97724bcec4da0922ed42245af4aaa
5 N49b49a21fa60401bbddc01eb82f4a173
6 N4ae8b8de955f41d6b92db5b6fc05c76b
7 N54d1fba687304d68a400c32b629ddad6
8 N665abcdd7cfb4e2e9c3d5004b3c81364
9 N6797b3e8b5fc427293f5b1dc26916032
10 N68afa9e8586c43db8b870ca603f4abaf
11 N905986166dfe4fcab4939697d074d072
12 N92da96c8ca04436b9bd4fc8fc79aca1f
13 Na1e953f1152b4a0b966f9b73d8ee3120
14 Nae176137d5a0452497cd08269b34f81c
15 Nb0ac6a6e81af4fa284f7a39e28c2ff8a
16 Nb9fe8a58e4cf4ddb987193f54308e66a
17 Ncd7c09e0151d48c3b1b58c78d8292a0d
18 Nec4edb11497242a1bad22ce8f268fb50
19 Nfb39c3a936764639bb2b2f9a44215101
20 Nfb63228a52c24cac998b6ffbee9120a8
21 Nfde0bea0cca84d52bd7465734f2d81da
22 anzsrc-for:11
23 anzsrc-for:1117
24 schema:author N5e2a1dd472c340e4a85603cd57d0fbd9
25 schema:citation sg:pub.10.1007/s10384-004-0120-9
26 sg:pub.10.1007/s10384-009-0663-x
27 sg:pub.10.2165/11588720-000000000-00000
28 https://app.dimensions.ai/details/publication/pub.1076587383
29 https://app.dimensions.ai/details/publication/pub.1082764869
30 https://doi.org/10.1001/archneur.1986.00520010016013
31 https://doi.org/10.1001/archopht.1977.04450020055011
32 https://doi.org/10.1001/archopht.1984.01040030046032
33 https://doi.org/10.1001/archopht.1989.01070020382040
34 https://doi.org/10.1001/archpedi.1985.02140050043019
35 https://doi.org/10.1016/0140-6736(93)91075-w
36 https://doi.org/10.1016/s0002-9394(98)00016-6
37 https://doi.org/10.1016/s0002-9394(99)00040-9
38 https://doi.org/10.1136/bjo.86.8.910
39 schema:datePublished 2014-12
40 schema:datePublishedReg 2014-12-01
41 schema:description BACKGROUND: This study investigated the prevalence and risk factors for superior segmental optic hypoplasia (SSOH) in a Korean population based on the data from the nationwide Korea National Health and Nutrition Examination Survey (KNHANES). METHODS: We performed a retrospective review of the KNHANES dataset covering January 2012 to December 2012. The study population comprised 5,612 subjects (≥19 years of age) who had participated in a medical interview covering demographic and systemic information, been issued a questionnaire regarding associated SSOH risk factors including gender, age, systemic disease, and family history, and had undergone an ophthalmologic examination. Two masked readers evaluated fundus photography, paying special attention to the presence of SSOH. Associations of risk factors (identified in the medical interview portion) with SSOH prevalence were investigated using multivariate logistic regression analysis. RESULTS: SSOH was detected in 16 eyes of 14 subjects, or 0.24% of the 5,612 subjects. All 16 eyes showed a corresponding visual-field defect. In multivariate logistic regression analyses, maternal history of diabetes (Odds ratio (OR), 7.666; 95% Confidence interval (CI), 2.601 ~ 22.593, p < 0.001) and paternal history of ischemic heart disease (IHD) (OR, 11.105; CI, 3.361 ~ 36.686, p < 0.001) were associated with increased risk of SSOH. CONCLUSIONS: This study provides the first representative population-based data on SSOH prevalence in Korea. Additionally, multivariate analyses revealed that a history of maternal diabetes and paternal IHD was the most important factor influencing the prevalence of SSOH.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree true
45 schema:isPartOf N4a150e6e8601471b8d050a4c5de10f1b
46 N8205b5538abc4105bb33181ef7e3ca3d
47 sg:journal.1024634
48 schema:name Prevalence and risk factors of superior segmental optic hypoplasia in a Korean population: the Korea National Health and Nutrition Examination Survey
49 schema:pagination 157
50 schema:productId N0d474d9220c64473bdf4919226f80204
51 N63dbf356933448d3a917195964430f5d
52 N84ffb64a0cfb44658c7db52f63de469a
53 Nc9c09624851d4e5f87e3f0e460d39953
54 Nd06e9456bf3b43969e53c489ce7e9570
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026010869
56 https://doi.org/10.1186/1471-2415-14-157
57 schema:sdDatePublished 2019-04-10T18:20
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher N42e57c32671044479d6161a3752211e8
60 schema:url http://link.springer.com/10.1186%2F1471-2415-14-157
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N012c14e7406f4ee3ad8811f3ac7164c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
65 schema:name Optic Disk
66 rdf:type schema:DefinedTerm
67 N09de151941974e11bd9cf56acf81b1e5 rdf:first sg:person.01271055355.01
68 rdf:rest N813c4bf18a70467a9f5553dc837f310a
69 N0cb1e47c357f461487bb4388dd0f5dd8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Male
71 rdf:type schema:DefinedTerm
72 N0d474d9220c64473bdf4919226f80204 schema:name readcube_id
73 schema:value 7bea43e5ecf544e9b82656bcec756a7263b40d644799bb0ec564333c06f8c13b
74 rdf:type schema:PropertyValue
75 N2d2d9fa29ab94c9cab836d68c7ca108c rdf:first sg:person.01165265652.11
76 rdf:rest Nf1fd2f1b2eac4dda838f27ca93e06c4e
77 N3383b9fe5f1341a9867756a3aecf3bcf rdf:first sg:person.01072467163.85
78 rdf:rest N4c012769d1484076a68b2c44e010f188
79 N3c9c1c6fbbea4929b8c15e7539b6e4b3 schema:name Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-roJongno-gu, 110-744, Seoul, South Korea
80 rdf:type schema:Organization
81 N42e57c32671044479d6161a3752211e8 schema:name Springer Nature - SN SciGraph project
82 rdf:type schema:Organization
83 N44cdb9c442124e089e1137084ae30feb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Humans
85 rdf:type schema:DefinedTerm
86 N45f97724bcec4da0922ed42245af4aaa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Aged, 80 and over
88 rdf:type schema:DefinedTerm
89 N49b49a21fa60401bbddc01eb82f4a173 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Surveys and Questionnaires
91 rdf:type schema:DefinedTerm
92 N49efd5d512f8443b9f302fab596a9754 schema:name Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-roJongno-gu, 110-744, Seoul, South Korea
93 rdf:type schema:Organization
94 N4a150e6e8601471b8d050a4c5de10f1b schema:issueNumber 1
95 rdf:type schema:PublicationIssue
96 N4ae8b8de955f41d6b92db5b6fc05c76b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Aged
98 rdf:type schema:DefinedTerm
99 N4c012769d1484076a68b2c44e010f188 rdf:first sg:person.01233401052.25
100 rdf:rest N4dfc812419e84370b2c62a7a2fb05c34
101 N4dfc812419e84370b2c62a7a2fb05c34 rdf:first Nf7351a111b894044901d780347bcc4c0
102 rdf:rest rdf:nil
103 N54d1fba687304d68a400c32b629ddad6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Asian Continental Ancestry Group
105 rdf:type schema:DefinedTerm
106 N5e2a1dd472c340e4a85603cd57d0fbd9 rdf:first sg:person.01365126224.00
107 rdf:rest N09de151941974e11bd9cf56acf81b1e5
108 N63dbf356933448d3a917195964430f5d schema:name dimensions_id
109 schema:value pub.1026010869
110 rdf:type schema:PropertyValue
111 N665abcdd7cfb4e2e9c3d5004b3c81364 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Retrospective Studies
113 rdf:type schema:DefinedTerm
114 N6797b3e8b5fc427293f5b1dc26916032 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Female
116 rdf:type schema:DefinedTerm
117 N68afa9e8586c43db8b870ca603f4abaf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Republic of Korea
119 rdf:type schema:DefinedTerm
120 N813c4bf18a70467a9f5553dc837f310a rdf:first sg:person.01247636043.22
121 rdf:rest N933f2329c0b4433095a13dcd250cc288
122 N8205b5538abc4105bb33181ef7e3ca3d schema:volumeNumber 14
123 rdf:type schema:PublicationVolume
124 N84ffb64a0cfb44658c7db52f63de469a schema:name pubmed_id
125 schema:value 25510911
126 rdf:type schema:PropertyValue
127 N905986166dfe4fcab4939697d074d072 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Diagnostic Techniques, Ophthalmological
129 rdf:type schema:DefinedTerm
130 N92da96c8ca04436b9bd4fc8fc79aca1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Vision Disorders
132 rdf:type schema:DefinedTerm
133 N933f2329c0b4433095a13dcd250cc288 rdf:first sg:person.01341123542.67
134 rdf:rest N2d2d9fa29ab94c9cab836d68c7ca108c
135 Na1e953f1152b4a0b966f9b73d8ee3120 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Visual Fields
137 rdf:type schema:DefinedTerm
138 Nae176137d5a0452497cd08269b34f81c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Young Adult
140 rdf:type schema:DefinedTerm
141 Nb0ac6a6e81af4fa284f7a39e28c2ff8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Photography
143 rdf:type schema:DefinedTerm
144 Nb58af7e7ff854eacb9b5e5d0c9aaac87 schema:name Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-roJongno-gu, 110-744, Seoul, South Korea
145 rdf:type schema:Organization
146 Nb9fe8a58e4cf4ddb987193f54308e66a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Middle Aged
148 rdf:type schema:DefinedTerm
149 Nc3410e3b14804677973335c1f0a8e76a schema:name Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, South Korea
150 rdf:type schema:Organization
151 Nc9c09624851d4e5f87e3f0e460d39953 schema:name doi
152 schema:value 10.1186/1471-2415-14-157
153 rdf:type schema:PropertyValue
154 Ncd7c09e0151d48c3b1b58c78d8292a0d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Prevalence
156 rdf:type schema:DefinedTerm
157 Nd06e9456bf3b43969e53c489ce7e9570 schema:name nlm_unique_id
158 schema:value 100967802
159 rdf:type schema:PropertyValue
160 Nec4edb11497242a1bad22ce8f268fb50 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Risk Factors
162 rdf:type schema:DefinedTerm
163 Nf1fd2f1b2eac4dda838f27ca93e06c4e rdf:first sg:person.01225036155.03
164 rdf:rest N3383b9fe5f1341a9867756a3aecf3bcf
165 Nf25dbf5f29434a34a0101c05a02a3b1d schema:name Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-roJongno-gu, 110-744, Seoul, South Korea
166 rdf:type schema:Organization
167 Nf7351a111b894044901d780347bcc4c0 schema:familyName Epidemiologic Survey Committee of the Korean Ophthalmological Society
168 rdf:type schema:Person
169 Nfb39c3a936764639bb2b2f9a44215101 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Nutrition Surveys
171 rdf:type schema:DefinedTerm
172 Nfb63228a52c24cac998b6ffbee9120a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Adult
174 rdf:type schema:DefinedTerm
175 Nfc2dab37d3a0423eacc5bc949b5f16cb schema:name Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-roJongno-gu, 110-744, Seoul, South Korea
176 rdf:type schema:Organization
177 Nfde0bea0cca84d52bd7465734f2d81da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Optic Nerve Diseases
179 rdf:type schema:DefinedTerm
180 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
181 schema:name Medical and Health Sciences
182 rdf:type schema:DefinedTerm
183 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
184 schema:name Public Health and Health Services
185 rdf:type schema:DefinedTerm
186 sg:journal.1024634 schema:issn 1471-2415
187 schema:name BMC Ophthalmology
188 rdf:type schema:Periodical
189 sg:person.01072467163.85 schema:affiliation Nc3410e3b14804677973335c1f0a8e76a
190 schema:familyName Kang
191 schema:givenName Se Woong
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072467163.85
193 rdf:type schema:Person
194 sg:person.01165265652.11 schema:affiliation N49efd5d512f8443b9f302fab596a9754
195 schema:familyName Jeoung
196 schema:givenName Jin Wook
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165265652.11
198 rdf:type schema:Person
199 sg:person.01225036155.03 schema:affiliation https://www.grid.ac/institutes/grid.15444.30
200 schema:familyName Kim
201 schema:givenName Chan Yun
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225036155.03
203 rdf:type schema:Person
204 sg:person.01233401052.25 schema:affiliation N3c9c1c6fbbea4929b8c15e7539b6e4b3
205 schema:familyName Park
206 schema:givenName Ki Ho
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233401052.25
208 rdf:type schema:Person
209 sg:person.01247636043.22 schema:affiliation Nfc2dab37d3a0423eacc5bc949b5f16cb
210 schema:familyName Kim
211 schema:givenName Dai Woo
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247636043.22
213 rdf:type schema:Person
214 sg:person.01271055355.01 schema:affiliation Nb58af7e7ff854eacb9b5e5d0c9aaac87
215 schema:familyName Lee
216 schema:givenName Chong Eun
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271055355.01
218 rdf:type schema:Person
219 sg:person.01341123542.67 schema:affiliation https://www.grid.ac/institutes/grid.411842.a
220 schema:familyName Kim
221 schema:givenName Young Kook
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341123542.67
223 rdf:type schema:Person
224 sg:person.01365126224.00 schema:affiliation Nf25dbf5f29434a34a0101c05a02a3b1d
225 schema:familyName Seo
226 schema:givenName Sam
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365126224.00
228 rdf:type schema:Person
229 sg:pub.10.1007/s10384-004-0120-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041809257
230 https://doi.org/10.1007/s10384-004-0120-9
231 rdf:type schema:CreativeWork
232 sg:pub.10.1007/s10384-009-0663-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045116373
233 https://doi.org/10.1007/s10384-009-0663-x
234 rdf:type schema:CreativeWork
235 sg:pub.10.2165/11588720-000000000-00000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022050100
236 https://doi.org/10.2165/11588720-000000000-00000
237 rdf:type schema:CreativeWork
238 https://app.dimensions.ai/details/publication/pub.1076587383 schema:CreativeWork
239 https://app.dimensions.ai/details/publication/pub.1082764869 schema:CreativeWork
240 https://doi.org/10.1001/archneur.1986.00520010016013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016753872
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1001/archopht.1977.04450020055011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019025248
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1001/archopht.1984.01040030046032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047989789
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1001/archopht.1989.01070020382040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044131484
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1001/archpedi.1985.02140050043019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006991201
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/0140-6736(93)91075-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1049605870
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1016/s0002-9394(98)00016-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004381882
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1016/s0002-9394(99)00040-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051767252
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1136/bjo.86.8.910 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032524964
257 rdf:type schema:CreativeWork
258 https://www.grid.ac/institutes/grid.15444.30 schema:alternateName Yonsei University
259 schema:name The Institute of Vision Research, Department of Ophthalmology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, South Korea
260 rdf:type schema:Organization
261 https://www.grid.ac/institutes/grid.411842.a schema:alternateName Jeju National University Hospital
262 schema:name Department of Ophthalmology, Jeju National University Hospital, 15, Aran-13-gil, 690-767, Jeju-si, Jeju, South Korea
263 rdf:type schema:Organization
 




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


...