First trimester combined screening in patients with systemic lupus erythematosus: impact of pre-analytical variables on risk assessment View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-28

AUTHORS

Maria José Rego de Sousa, Rita Ribeiro, Argyro Syngelaki, Kypros H. Nicolaides

ABSTRACT

BACKGROUND: Prenatal diagnosis of fetal trisomy 21 and other chromosomal abnormalities is based on invasive tests, such as amniocentesis and chorionic villus sampling, which are carried out in women identified through screening as being at high risk for these abnormalities. The most widely used method of screening is the first-trimester combined test which utilizes maternal age, and measurements of fetal nuchal translucency thickness (NT) and maternal serum pregnancy-associated plasma protein-A (PAPP-A) and free β-human chorionic gonadotropin (hCG). OBJECTIVES: To assess the influence of SLE on the levels of NT, PAPP-A, and β-hCG and whether any alterations in such levels may increase the rate of false positives and the subsequent number of invasive tests. METHOD: This was a prospective first-trimester screening study for trisomies 21, 18, and 13 by a combination of maternal age, fetal nuchal translucency thickness, and serum PAPP-A and β-hCG at King's College Hospital, London, between March 2006 and February 2011. The study population included 47 cases with maternal SLE and 45,493 without SLE. The results of biomarkers in the SLE and non-SLE groups were compared. RESULTS: In the SLE group, compared to the non-SLE group, there were no significant differences in median maternal age, fetal NT, or serum PAPP-A MoM, but serum free β-hCG MoM was increased (1.402, IQR 0.872-2.290 vs 0.994, IQR 0.676-1.508). CONCLUSION: In first trimester screening for trisomies, the measured value of free ß-hCG should be adjusted for maternal SLE to avoid false positive results and overuse of invasive tests. More... »

PAGES

1-5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10067-019-04525-1

DOI

http://dx.doi.org/10.1007/s10067-019-04525-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113059765

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30919147


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/2008/1114", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Paediatrics and Reproductive Medicine", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Autoimmunity Unit, Centro de Medicina Laboratorial Germano de Sousa, R. Cupertino de Miranda, 1600-513, Lisbon, Portugal"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Sousa", 
        "givenName": "Maria Jos\u00e9 Rego", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Autoimmunity Unit, Centro de Medicina Laboratorial Germano de Sousa, R. Cupertino de Miranda, 1600-513, Lisbon, Portugal"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ribeiro", 
        "givenName": "Rita", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.46699.34", 
          "name": [
            "Harris Birthright Research Center of Fetal Medicine, King\u2019s College Hospital, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Syngelaki", 
        "givenName": "Argyro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.46699.34", 
          "name": [
            "Harris Birthright Research Center of Fetal Medicine, King\u2019s College Hospital, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nicolaides", 
        "givenName": "Kypros H.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.autrev.2011.11.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003604970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaut.2011.11.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007291183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.38302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016767710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1469-0705.1999.13040231.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017047640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaut.2011.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019233726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.1990.03450110099036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020826778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajog.2005.02.104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021722563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pd.1970151108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021727443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/rheumatology/ken151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021749844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0223(200010)20:10<851::aid-pd932>3.0.co;2-l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024538051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/uog.5332", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026158755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pd.2637", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026618831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pd.2637", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026618831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pd.1737", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028682324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pd.1737", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028682324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/1874312900802010089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030122156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1651-2227.2011.02185.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030361940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrrheum.2012.133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032311911", 
          "https://doi.org/10.1038/nrrheum.2012.133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/gene.2014.57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036840552", 
          "https://doi.org/10.1038/gene.2014.57"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaut.2011.11.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039618815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.berh.2006.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041454602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0223(200102)21:2<143::aid-pd998>3.0.co;2-b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047474344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.23701", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049454039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bdra.20021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051014445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-2000-13728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057402157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075678462", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-28", 
    "datePublishedReg": "2019-03-28", 
    "description": "BACKGROUND: Prenatal diagnosis of fetal trisomy 21 and other chromosomal abnormalities is based on invasive tests, such as amniocentesis and chorionic villus sampling, which are carried out in women identified through screening as being at high risk for these abnormalities. The most widely used method of screening is the first-trimester combined test which utilizes maternal age, and measurements of fetal nuchal translucency thickness (NT) and maternal serum pregnancy-associated plasma protein-A (PAPP-A) and free \u03b2-human chorionic gonadotropin (hCG).\nOBJECTIVES: To assess the influence of SLE on the levels of NT, PAPP-A, and \u03b2-hCG and whether any alterations in such levels may increase the rate of false positives and the subsequent number of invasive tests.\nMETHOD: This was a prospective first-trimester screening study for trisomies 21, 18, and 13 by a combination of maternal age, fetal nuchal translucency thickness, and serum PAPP-A and \u03b2-hCG at King's College Hospital, London, between March 2006 and February 2011. The study population included 47 cases with maternal SLE and 45,493 without SLE. The results of biomarkers in the SLE and non-SLE groups were compared.\nRESULTS: In the SLE group, compared to the non-SLE group, there were no significant differences in median maternal age, fetal NT, or serum PAPP-A MoM, but serum free \u03b2-hCG MoM was increased (1.402, IQR 0.872-2.290 vs 0.994, IQR 0.676-1.508).\nCONCLUSION: In first trimester screening for trisomies, the measured value of free \u00df-hCG should be adjusted for maternal SLE to avoid false positive results and overuse of invasive tests.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10067-019-04525-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1093299", 
        "issn": [
          "0770-3198", 
          "1434-9949"
        ], 
        "name": "Clinical Rheumatology", 
        "type": "Periodical"
      }
    ], 
    "name": "First trimester combined screening in patients with systemic lupus erythematosus: impact of pre-analytical variables on risk assessment", 
    "pagination": "1-5", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d49a321fa01476623c1d086740d2e4b41779cbab99a54529abaa9e6018a7abea"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30919147"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8211469"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10067-019-04525-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113059765"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10067-019-04525-1", 
      "https://app.dimensions.ai/details/publication/pub.1113059765"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:21", 
    "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/v90/0000000368_0000000368/records_78974_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10067-019-04525-1"
  }
]
 

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/s10067-019-04525-1'

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/s10067-019-04525-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10067-019-04525-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10067-019-04525-1'


 

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

157 TRIPLES      21 PREDICATES      50 URIs      18 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10067-019-04525-1 schema:about anzsrc-for:11
2 anzsrc-for:1114
3 schema:author N37d56d4d3cc748c58d953baff0c216ca
4 schema:citation sg:pub.10.1038/gene.2014.57
5 sg:pub.10.1038/nrrheum.2012.133
6 https://app.dimensions.ai/details/publication/pub.1075678462
7 https://doi.org/10.1001/jama.1990.03450110099036
8 https://doi.org/10.1002/1097-0223(200010)20:10<851::aid-pd932>3.0.co;2-l
9 https://doi.org/10.1002/1097-0223(200102)21:2<143::aid-pd998>3.0.co;2-b
10 https://doi.org/10.1002/art.23701
11 https://doi.org/10.1002/art.38302
12 https://doi.org/10.1002/bdra.20021
13 https://doi.org/10.1002/pd.1737
14 https://doi.org/10.1002/pd.1970151108
15 https://doi.org/10.1002/pd.2637
16 https://doi.org/10.1002/uog.5332
17 https://doi.org/10.1016/j.ajog.2005.02.104
18 https://doi.org/10.1016/j.autrev.2011.11.024
19 https://doi.org/10.1016/j.berh.2006.04.003
20 https://doi.org/10.1016/j.jaut.2011.10.003
21 https://doi.org/10.1016/j.jaut.2011.11.002
22 https://doi.org/10.1016/j.jaut.2011.11.012
23 https://doi.org/10.1046/j.1469-0705.1999.13040231.x
24 https://doi.org/10.1055/s-2000-13728
25 https://doi.org/10.1093/rheumatology/ken151
26 https://doi.org/10.1111/j.1651-2227.2011.02185.x
27 https://doi.org/10.2174/1874312900802010089
28 schema:datePublished 2019-03-28
29 schema:datePublishedReg 2019-03-28
30 schema:description BACKGROUND: Prenatal diagnosis of fetal trisomy 21 and other chromosomal abnormalities is based on invasive tests, such as amniocentesis and chorionic villus sampling, which are carried out in women identified through screening as being at high risk for these abnormalities. The most widely used method of screening is the first-trimester combined test which utilizes maternal age, and measurements of fetal nuchal translucency thickness (NT) and maternal serum pregnancy-associated plasma protein-A (PAPP-A) and free β-human chorionic gonadotropin (hCG). OBJECTIVES: To assess the influence of SLE on the levels of NT, PAPP-A, and β-hCG and whether any alterations in such levels may increase the rate of false positives and the subsequent number of invasive tests. METHOD: This was a prospective first-trimester screening study for trisomies 21, 18, and 13 by a combination of maternal age, fetal nuchal translucency thickness, and serum PAPP-A and β-hCG at King's College Hospital, London, between March 2006 and February 2011. The study population included 47 cases with maternal SLE and 45,493 without SLE. The results of biomarkers in the SLE and non-SLE groups were compared. RESULTS: In the SLE group, compared to the non-SLE group, there were no significant differences in median maternal age, fetal NT, or serum PAPP-A MoM, but serum free β-hCG MoM was increased (1.402, IQR 0.872-2.290 vs 0.994, IQR 0.676-1.508). CONCLUSION: In first trimester screening for trisomies, the measured value of free ß-hCG should be adjusted for maternal SLE to avoid false positive results and overuse of invasive tests.
31 schema:genre research_article
32 schema:inLanguage en
33 schema:isAccessibleForFree false
34 schema:isPartOf sg:journal.1093299
35 schema:name First trimester combined screening in patients with systemic lupus erythematosus: impact of pre-analytical variables on risk assessment
36 schema:pagination 1-5
37 schema:productId N2347d196d5884143820ab6f28a8fcfed
38 N73125a71cda74025a1d634100e0c1388
39 N7a32b13e4ed74adaa27ee1329142cea5
40 Nc49987dc1cf94aac81ec310ed5630839
41 Nf7f877f54b134647814df49b00865bbf
42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113059765
43 https://doi.org/10.1007/s10067-019-04525-1
44 schema:sdDatePublished 2019-04-11T13:21
45 schema:sdLicense https://scigraph.springernature.com/explorer/license/
46 schema:sdPublisher N27df6b348fe44c428ff1befa9bd20233
47 schema:url https://link.springer.com/10.1007%2Fs10067-019-04525-1
48 sgo:license sg:explorer/license/
49 sgo:sdDataset articles
50 rdf:type schema:ScholarlyArticle
51 N2347d196d5884143820ab6f28a8fcfed schema:name pubmed_id
52 schema:value 30919147
53 rdf:type schema:PropertyValue
54 N27df6b348fe44c428ff1befa9bd20233 schema:name Springer Nature - SN SciGraph project
55 rdf:type schema:Organization
56 N37d56d4d3cc748c58d953baff0c216ca rdf:first Ncbc301659d4747328716ca12fecaa868
57 rdf:rest Nc1b06bfe53334dcd9159b59ae5168439
58 N48d42281b81a4960a3a73dc5fcbb81e6 schema:name Autoimmunity Unit, Centro de Medicina Laboratorial Germano de Sousa, R. Cupertino de Miranda, 1600-513, Lisbon, Portugal
59 rdf:type schema:Organization
60 N61b344da08f949979c916becffd8f76a schema:affiliation N48d42281b81a4960a3a73dc5fcbb81e6
61 schema:familyName Ribeiro
62 schema:givenName Rita
63 rdf:type schema:Person
64 N73125a71cda74025a1d634100e0c1388 schema:name nlm_unique_id
65 schema:value 8211469
66 rdf:type schema:PropertyValue
67 N7a32b13e4ed74adaa27ee1329142cea5 schema:name readcube_id
68 schema:value d49a321fa01476623c1d086740d2e4b41779cbab99a54529abaa9e6018a7abea
69 rdf:type schema:PropertyValue
70 N7c981ab9c8d849fc9155e5a265876a3e rdf:first N8ef884305e1947008f9b21a1ee4a0cf6
71 rdf:rest Ne4b4738a27ea4f3da34ed4b714f1729f
72 N8ef884305e1947008f9b21a1ee4a0cf6 schema:affiliation https://www.grid.ac/institutes/grid.46699.34
73 schema:familyName Syngelaki
74 schema:givenName Argyro
75 rdf:type schema:Person
76 Naa796ce180304489a2f53f5a0f7cee4d schema:affiliation https://www.grid.ac/institutes/grid.46699.34
77 schema:familyName Nicolaides
78 schema:givenName Kypros H.
79 rdf:type schema:Person
80 Nb76ff13cd2b34e3d8b2747907759f48e schema:name Autoimmunity Unit, Centro de Medicina Laboratorial Germano de Sousa, R. Cupertino de Miranda, 1600-513, Lisbon, Portugal
81 rdf:type schema:Organization
82 Nc1b06bfe53334dcd9159b59ae5168439 rdf:first N61b344da08f949979c916becffd8f76a
83 rdf:rest N7c981ab9c8d849fc9155e5a265876a3e
84 Nc49987dc1cf94aac81ec310ed5630839 schema:name dimensions_id
85 schema:value pub.1113059765
86 rdf:type schema:PropertyValue
87 Ncbc301659d4747328716ca12fecaa868 schema:affiliation Nb76ff13cd2b34e3d8b2747907759f48e
88 schema:familyName de Sousa
89 schema:givenName Maria José Rego
90 rdf:type schema:Person
91 Ne4b4738a27ea4f3da34ed4b714f1729f rdf:first Naa796ce180304489a2f53f5a0f7cee4d
92 rdf:rest rdf:nil
93 Nf7f877f54b134647814df49b00865bbf schema:name doi
94 schema:value 10.1007/s10067-019-04525-1
95 rdf:type schema:PropertyValue
96 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
97 schema:name Medical and Health Sciences
98 rdf:type schema:DefinedTerm
99 anzsrc-for:1114 schema:inDefinedTermSet anzsrc-for:
100 schema:name Paediatrics and Reproductive Medicine
101 rdf:type schema:DefinedTerm
102 sg:journal.1093299 schema:issn 0770-3198
103 1434-9949
104 schema:name Clinical Rheumatology
105 rdf:type schema:Periodical
106 sg:pub.10.1038/gene.2014.57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036840552
107 https://doi.org/10.1038/gene.2014.57
108 rdf:type schema:CreativeWork
109 sg:pub.10.1038/nrrheum.2012.133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032311911
110 https://doi.org/10.1038/nrrheum.2012.133
111 rdf:type schema:CreativeWork
112 https://app.dimensions.ai/details/publication/pub.1075678462 schema:CreativeWork
113 https://doi.org/10.1001/jama.1990.03450110099036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020826778
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1002/1097-0223(200010)20:10<851::aid-pd932>3.0.co;2-l schema:sameAs https://app.dimensions.ai/details/publication/pub.1024538051
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1002/1097-0223(200102)21:2<143::aid-pd998>3.0.co;2-b schema:sameAs https://app.dimensions.ai/details/publication/pub.1047474344
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1002/art.23701 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049454039
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1002/art.38302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016767710
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1002/bdra.20021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051014445
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1002/pd.1737 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028682324
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1002/pd.1970151108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021727443
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1002/pd.2637 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026618831
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1002/uog.5332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026158755
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.ajog.2005.02.104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021722563
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.autrev.2011.11.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003604970
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.berh.2006.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041454602
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.jaut.2011.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019233726
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.jaut.2011.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039618815
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.jaut.2011.11.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007291183
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1046/j.1469-0705.1999.13040231.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017047640
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1055/s-2000-13728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057402157
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1093/rheumatology/ken151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021749844
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1111/j.1651-2227.2011.02185.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030361940
152 rdf:type schema:CreativeWork
153 https://doi.org/10.2174/1874312900802010089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030122156
154 rdf:type schema:CreativeWork
155 https://www.grid.ac/institutes/grid.46699.34 schema:alternateName King's College Hospital
156 schema:name Harris Birthright Research Center of Fetal Medicine, King’s College Hospital, London, UK
157 rdf:type schema:Organization
 




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


...