Ontology type: schema:ScholarlyArticle Open Access: True
2020-07-15
AUTHORSIoannis Kyrou, Emmanouil Karteris, Tim Robbins, Kamaljit Chatha, Fotios Drenos, Harpal S. Randeva
ABSTRACTBackgroundIn women of reproductive age, polycystic ovary syndrome (PCOS) constitutes the most frequent endocrine disorder. Women with PCOS are considered to typically belong to an age and sex group which is at lower risk for severe COVID-19.Main bodyEmerging data link the risk of severe COVID-19 with certain factors such as hyper-inflammation, ethnicity predisposition, low vitamin D levels, and hyperandrogenism, all of which have known direct associations with PCOS. Moreover, in this common female patient population, there is markedly high prevalence of multiple cardio-metabolic conditions, such as type 2 diabetes, obesity, and hypertension, which may significantly increase the risk for adverse COVID-19-related outcomes. This strong overlap of risk factors for both worse PCOS cardio-metabolic manifestations and severe COVID-19 should be highlighted for the clinical practice, particularly since women with PCOS often receive fragmented care from multiple healthcare services. Comprehensively informing women with PCOS regarding the potential risks from COVID-19 and how this may affect their management is also essential.ConclusionDespite the immense challenges posed by the COVID-19 outbreak to the healthcare systems in affected countries, attention should be directed to maintain a high standard of care for complex patients such as many women with PCOS and provide relevant practical recommendations for optimal management in the setting of this fast moving pandemic. More... »
PAGES220
http://scigraph.springernature.com/pub.10.1186/s12916-020-01697-5
DOIhttp://dx.doi.org/10.1186/s12916-020-01697-5
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1129346485
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/32664957
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"
},
{
"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"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Betacoronavirus",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "COVID-19",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Coronavirus Infections",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Diabetes Mellitus, Type 2",
"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": "Hyperandrogenism",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Hypertension",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Metabolic Diseases",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Obesity",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Pandemics",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Pneumonia, Viral",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Polycystic Ovary Syndrome",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Prevalence",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Risk Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "SARS-CoV-2",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Warwick Medical School, University of Warwick, CV4 7AL, Coventry, UK",
"id": "http://www.grid.ac/institutes/grid.7372.1",
"name": [
"Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, CV2 2DX, Coventry, UK",
"Aston Medical Research Institute, Aston Medical School, Aston University, B4 7ET, Birmingham, UK",
"Warwick Medical School, University of Warwick, CV4 7AL, Coventry, UK"
],
"type": "Organization"
},
"familyName": "Kyrou",
"givenName": "Ioannis",
"id": "sg:person.0605135161.99",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605135161.99"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "College of Health and Life Sciences, Brunel University London, UB8 3PH, Uxbridge, UK",
"id": "http://www.grid.ac/institutes/grid.7728.a",
"name": [
"College of Health and Life Sciences, Brunel University London, UB8 3PH, Uxbridge, UK"
],
"type": "Organization"
},
"familyName": "Karteris",
"givenName": "Emmanouil",
"id": "sg:person.0650731720.45",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650731720.45"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Digital Healthcare, WMG, University of Warwick, CV4 7AL, Coventry, UK",
"id": "http://www.grid.ac/institutes/grid.7372.1",
"name": [
"Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, CV2 2DX, Coventry, UK",
"Institute of Digital Healthcare, WMG, University of Warwick, CV4 7AL, Coventry, UK"
],
"type": "Organization"
},
"familyName": "Robbins",
"givenName": "Tim",
"id": "sg:person.011576020373.58",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011576020373.58"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Biochemistry and Immunology, University Hospitals Coventry and Warwickshire NHS Trust, CV2 2DX, Coventry, UK",
"id": "http://www.grid.ac/institutes/grid.15628.38",
"name": [
"Department of Biochemistry and Immunology, University Hospitals Coventry and Warwickshire NHS Trust, CV2 2DX, Coventry, UK"
],
"type": "Organization"
},
"familyName": "Chatha",
"givenName": "Kamaljit",
"id": "sg:person.01001534573.16",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001534573.16"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Cardiovascular Science, University College London, London, UK",
"id": "http://www.grid.ac/institutes/grid.83440.3b",
"name": [
"College of Health and Life Sciences, Brunel University London, UB8 3PH, Uxbridge, UK",
"Institute of Cardiovascular Science, University College London, London, UK"
],
"type": "Organization"
},
"familyName": "Drenos",
"givenName": "Fotios",
"id": "sg:person.01001324722.89",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001324722.89"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Warwick Medical School, University of Warwick, CV4 7AL, Coventry, UK",
"id": "http://www.grid.ac/institutes/grid.7372.1",
"name": [
"Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, CV2 2DX, Coventry, UK",
"Aston Medical Research Institute, Aston Medical School, Aston University, B4 7ET, Birmingham, UK",
"Warwick Medical School, University of Warwick, CV4 7AL, Coventry, UK"
],
"type": "Organization"
},
"familyName": "Randeva",
"givenName": "Harpal S.",
"id": "sg:person.0602277200.68",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602277200.68"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/s41574-020-0353-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1126051070",
"https://doi.org/10.1038/s41574-020-0353-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11325-019-01835-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1114996779",
"https://doi.org/10.1007/s11325-019-01835-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12863-015-0165-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021663643",
"https://doi.org/10.1186/s12863-015-0165-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00125-017-4318-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1090954332",
"https://doi.org/10.1007/s00125-017-4318-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4471-2789-5_13",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004592896",
"https://doi.org/10.1007/978-1-4471-2789-5_13"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12020-020-02349-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1128157536",
"https://doi.org/10.1007/s12020-020-02349-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s40520-020-01570-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1127418727",
"https://doi.org/10.1007/s40520-020-01570-8"
],
"type": "CreativeWork"
}
],
"datePublished": "2020-07-15",
"datePublishedReg": "2020-07-15",
"description": "BackgroundIn women of reproductive age, polycystic ovary syndrome (PCOS) constitutes the most frequent endocrine disorder. Women with PCOS are considered to typically belong to an age and sex group which is at lower risk for severe COVID-19.Main bodyEmerging data link the risk of severe COVID-19 with certain factors such as hyper-inflammation, ethnicity predisposition, low vitamin D levels, and hyperandrogenism, all of which have known direct associations with PCOS. Moreover, in this common female patient population, there is markedly high prevalence of multiple cardio-metabolic conditions, such as type 2 diabetes, obesity, and hypertension, which may significantly increase the risk for adverse COVID-19-related outcomes. This strong overlap of risk factors for both worse PCOS cardio-metabolic manifestations and severe COVID-19 should be highlighted for the clinical practice, particularly since women with PCOS often receive fragmented care from multiple healthcare services. Comprehensively informing women with PCOS regarding the potential risks from COVID-19 and how this may affect their management is also essential.ConclusionDespite the immense challenges posed by the COVID-19 outbreak to the healthcare systems in affected countries, attention should be directed to maintain a high standard of care for complex patients such as many women with PCOS and provide relevant practical recommendations for optimal management in the setting of this fast moving pandemic.",
"genre": "article",
"id": "sg:pub.10.1186/s12916-020-01697-5",
"inLanguage": "en",
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1032885",
"issn": [
"1741-7015"
],
"name": "BMC Medicine",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "18"
}
],
"keywords": [
"polycystic ovary syndrome",
"female patient population",
"severe COVID-19",
"ovary syndrome",
"patient population",
"adverse COVID-19-related outcomes",
"COVID-19",
"low vitamin D levels",
"COVID-19-related outcomes",
"vitamin D levels",
"frequent endocrine disorder",
"type 2 diabetes",
"cardio-metabolic conditions",
"multiple healthcare services",
"BackgroundIn women",
"endocrine disorders",
"D levels",
"complex patients",
"fragmented care",
"reproductive age",
"risk factors",
"high prevalence",
"high risk",
"lower risk",
"clinical practice",
"optimal management",
"women",
"COVID-19 outbreak",
"healthcare system",
"healthcare services",
"sex groups",
"COVID-19 pandemic",
"risk",
"syndrome",
"direct association",
"care",
"age",
"potential risk",
"hyperandrogenism",
"hypertension",
"pandemic",
"obesity",
"diabetes",
"patients",
"ConclusionDespite",
"population",
"prevalence",
"disorders",
"certain factors",
"predisposition",
"manifestations",
"outcomes",
"management",
"factors",
"association",
"outbreak",
"group",
"setting",
"high standards",
"practical recommendations",
"levels",
"recommendations",
"immense challenge",
"practice",
"data",
"services",
"standards",
"countries",
"overlap",
"strong overlap",
"challenges",
"conditions",
"attention",
"system"
],
"name": "Polycystic ovary syndrome (PCOS) and COVID-19: an overlooked female patient population at potentially higher risk during the COVID-19 pandemic",
"pagination": "220",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1129346485"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s12916-020-01697-5"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"32664957"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s12916-020-01697-5",
"https://app.dimensions.ai/details/publication/pub.1129346485"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:36",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_838.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1186/s12916-020-01697-5"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12916-020-01697-5'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12916-020-01697-5'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12916-020-01697-5'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12916-020-01697-5'
This table displays all metadata directly associated to this object as RDF triples.
280 TRIPLES
22 PREDICATES
124 URIs
108 LITERALS
23 BLANK NODES