Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Mohammad A Al Sallakh, Sarah E Rodgers, Ronan A Lyons, Aziz Sheikh, Gwyneth A Davies

ABSTRACT

Asthma and chronic obstructive pulmonary disease (COPD) are two common different clinical diagnoses with overlapping clinical features. Both conditions have been increasingly studied using electronic health records (EHR). Asthma-COPD overlap syndrome (ACOS) is an emerging concept where clinical features from both conditions co-exist, and for which, however, there is no consensus definition. Nonetheless, we expect EHR data of people with ACOS to be systematically different from those with "asthma only" or "COPD only". We aim to develop a latent class model to understand the overlap between asthma and COPD in EHR data. From the Secure Anonymised Information Linkage (SAIL) databank, we will use routinely collected primary care data recorded in or before 2014 in Wales for people who aged 40 years or more on 1st Jan 2014. Based on this latent class model, we will train a classification algorithm and compare its performance with commonly used objective and self-reported case definitions for asthma and COPD. The resulting classification algorithm is intended to be used to identify people with ACOS, 'asthma only', and 'COPD only' in primary care datasets. More... »

PAGES

22

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41533-018-0088-4

DOI

http://dx.doi.org/10.1038/s41533-018-0088-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104990202

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29925836


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "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": {
          "alternateName": "Asthma UK", 
          "id": "https://www.grid.ac/institutes/grid.453156.0", 
          "name": [
            "Swansea University Medical School, Singleton Park, SA2 8PP, Swansea, UK", 
            "Asthma UK Centre for Applied Research, Edinburgh and Swansea, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sallakh", 
        "givenName": "Mohammad A Al", 
        "id": "sg:person.07611776434.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07611776434.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Farr Institute", 
          "id": "https://www.grid.ac/institutes/grid.488827.9", 
          "name": [
            "Swansea University Medical School, Singleton Park, SA2 8PP, Swansea, UK", 
            "The Farr Institute of Health Informatics Research, Edinburgh and Swansea, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rodgers", 
        "givenName": "Sarah E", 
        "id": "sg:person.015370236620.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015370236620.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Farr Institute", 
          "id": "https://www.grid.ac/institutes/grid.488827.9", 
          "name": [
            "Swansea University Medical School, Singleton Park, SA2 8PP, Swansea, UK", 
            "The Farr Institute of Health Informatics Research, Edinburgh and Swansea, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lyons", 
        "givenName": "Ronan A", 
        "id": "sg:person.01371504405.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371504405.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Edinburgh", 
          "id": "https://www.grid.ac/institutes/grid.4305.2", 
          "name": [
            "Asthma UK Centre for Applied Research, Edinburgh and Swansea, UK", 
            "The Farr Institute of Health Informatics Research, Edinburgh and Swansea, UK", 
            "Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sheikh", 
        "givenName": "Aziz", 
        "id": "sg:person.01125214207.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125214207.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Asthma UK", 
          "id": "https://www.grid.ac/institutes/grid.453156.0", 
          "name": [
            "Swansea University Medical School, Singleton Park, SA2 8PP, Swansea, UK", 
            "Asthma UK Centre for Applied Research, Edinburgh and Swansea, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Davies", 
        "givenName": "Gwyneth A", 
        "id": "sg:person.01155433410.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155433410.24"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/all.12640", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000121215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.200711-1754oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000319395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10705510701575396", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004013106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12916-016-0657-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005687672", 
          "https://doi.org/10.1186/s12916-016-0657-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12916-016-0657-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005687672", 
          "https://doi.org/10.1186/s12916-016-0657-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11882-014-0509-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006426690", 
          "https://doi.org/10.1007/s11882-014-0509-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3399/bjgp16x686953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006538569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaci.2004.11.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009724782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pmed.1001885", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010135876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/09031936.00174408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010536939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaci.2014.06.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013019383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclinepi.2007.11.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016528221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/thoraxjnl-2012-201720", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016637601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/thoraxjnl-2012-201720", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016637601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3399/bjgp16x686965", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017871348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aci.0000000000000326", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018446778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aci.0000000000000326", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018446778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/aci.0000000000000326", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018446778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6947-9-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020284030", 
          "https://doi.org/10.1186/1472-6947-9-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2222.2009.03321.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024263849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/cea.12035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027229723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.123.5.1684", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031526923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.123.5.1684", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031526923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclinepi.2004.10.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031983665"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(06)69257-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032190336"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/09031936.00082507", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034011812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.200906-0896oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036302046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ccm.2013.10.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039681983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s2213-2600(15)00254-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044155453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jaci.2010.07.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044591664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/aos/1176344136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044872629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11882-015-0542-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046472647", 
          "https://doi.org/10.1007/s11882-015-0542-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11882-015-0542-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046472647", 
          "https://doi.org/10.1007/s11882-015-0542-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00853-2015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046725471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00853-2015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046725471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00853-2015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046725471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/09031936.00175109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047479340"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6963-9-157", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047739446", 
          "https://doi.org/10.1186/1472-6963-9-157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/a0016973", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048172582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17061/phrp2541540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068264475"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18637/jss.v042.i10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068672632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12931-017-0508-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074215913", 
          "https://doi.org/10.1186/s12931-017-0508-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12931-017-0508-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074215913", 
          "https://doi.org/10.1186/s12931-017-0508-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.02008-2016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085102117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.02008-2016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085102117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.02008-2016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085102117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00506-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085112373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00506-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085112373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00506-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085112373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00336-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085113545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00336-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085113545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00336-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085113545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00204-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086128606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00204-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086128606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00204-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086128606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/13993003.00204-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086128606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1109491899", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1109491899", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Asthma and chronic obstructive pulmonary disease (COPD) are two common different clinical diagnoses with overlapping clinical features. Both conditions have been increasingly studied using electronic health records (EHR). Asthma-COPD overlap syndrome (ACOS) is an emerging concept where clinical features from both conditions co-exist, and for which, however, there is no consensus definition. Nonetheless, we expect EHR data of people with ACOS to be systematically different from those with \"asthma only\" or \"COPD only\". We aim to develop a latent class model to understand the overlap between asthma and COPD in EHR data. From the Secure Anonymised Information Linkage (SAIL) databank, we will use routinely collected primary care data recorded in or before 2014 in Wales for people who aged 40 years or more on 1st Jan 2014. Based on this latent class model, we will train a classification algorithm and compare its performance with commonly used objective and self-reported case definitions for asthma and COPD. The resulting classification algorithm is intended to be used to identify people with ACOS, 'asthma only', and 'COPD only' in primary care datasets.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41533-018-0088-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2771836", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5325621", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2757699", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1294845", 
        "issn": [
          "1471-4418", 
          "2055-1010"
        ], 
        "name": "Primary Care Respiratory Journal", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "28"
      }
    ], 
    "name": "Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol", 
    "pagination": "22", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "725ea7e95f688f1cdef03e989c39715a0f6264c8e6f6ef30b22c1d975acc34b4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29925836"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101631999"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41533-018-0088-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1104990202"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41533-018-0088-4", 
      "https://app.dimensions.ai/details/publication/pub.1104990202"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:00", 
    "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_8684_00000604.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41533-018-0088-4"
  }
]
 

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.10.1038/s41533-018-0088-4'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41533-018-0088-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41533-018-0088-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41533-018-0088-4'


 

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

235 TRIPLES      21 PREDICATES      68 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41533-018-0088-4 schema:about anzsrc-for:11
2 anzsrc-for:1102
3 schema:author N494c9c3f818345f58ecde44c24a9d615
4 schema:citation sg:pub.10.1007/s11882-014-0509-6
5 sg:pub.10.1007/s11882-015-0542-0
6 sg:pub.10.1186/1472-6947-9-3
7 sg:pub.10.1186/1472-6963-9-157
8 sg:pub.10.1186/s12916-016-0657-8
9 sg:pub.10.1186/s12931-017-0508-y
10 https://app.dimensions.ai/details/publication/pub.1109491899
11 https://doi.org/10.1016/j.ccm.2013.10.010
12 https://doi.org/10.1016/j.jaci.2004.11.050
13 https://doi.org/10.1016/j.jaci.2010.07.019
14 https://doi.org/10.1016/j.jaci.2014.06.035
15 https://doi.org/10.1016/j.jclinepi.2004.10.012
16 https://doi.org/10.1016/j.jclinepi.2007.11.008
17 https://doi.org/10.1016/s0140-6736(06)69257-x
18 https://doi.org/10.1016/s2213-2600(15)00254-4
19 https://doi.org/10.1037/a0016973
20 https://doi.org/10.1080/10705510701575396
21 https://doi.org/10.1097/aci.0000000000000326
22 https://doi.org/10.1111/all.12640
23 https://doi.org/10.1111/cea.12035
24 https://doi.org/10.1111/j.1365-2222.2009.03321.x
25 https://doi.org/10.1136/thoraxjnl-2012-201720
26 https://doi.org/10.1164/rccm.200711-1754oc
27 https://doi.org/10.1164/rccm.200906-0896oc
28 https://doi.org/10.1183/09031936.00082507
29 https://doi.org/10.1183/09031936.00174408
30 https://doi.org/10.1183/09031936.00175109
31 https://doi.org/10.1183/13993003.00204-2017
32 https://doi.org/10.1183/13993003.00336-2017
33 https://doi.org/10.1183/13993003.00506-2017
34 https://doi.org/10.1183/13993003.00853-2015
35 https://doi.org/10.1183/13993003.02008-2016
36 https://doi.org/10.1214/aos/1176344136
37 https://doi.org/10.1371/journal.pmed.1001885
38 https://doi.org/10.1378/chest.123.5.1684
39 https://doi.org/10.17061/phrp2541540
40 https://doi.org/10.18637/jss.v042.i10
41 https://doi.org/10.3399/bjgp16x686953
42 https://doi.org/10.3399/bjgp16x686965
43 schema:datePublished 2018-12
44 schema:datePublishedReg 2018-12-01
45 schema:description Asthma and chronic obstructive pulmonary disease (COPD) are two common different clinical diagnoses with overlapping clinical features. Both conditions have been increasingly studied using electronic health records (EHR). Asthma-COPD overlap syndrome (ACOS) is an emerging concept where clinical features from both conditions co-exist, and for which, however, there is no consensus definition. Nonetheless, we expect EHR data of people with ACOS to be systematically different from those with "asthma only" or "COPD only". We aim to develop a latent class model to understand the overlap between asthma and COPD in EHR data. From the Secure Anonymised Information Linkage (SAIL) databank, we will use routinely collected primary care data recorded in or before 2014 in Wales for people who aged 40 years or more on 1st Jan 2014. Based on this latent class model, we will train a classification algorithm and compare its performance with commonly used objective and self-reported case definitions for asthma and COPD. The resulting classification algorithm is intended to be used to identify people with ACOS, 'asthma only', and 'COPD only' in primary care datasets.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree true
49 schema:isPartOf N07d1985617db41559c7bc200fa0d9a1b
50 N1ddf712ee913463d9a4bb6027f677075
51 sg:journal.1294845
52 schema:name Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol
53 schema:pagination 22
54 schema:productId N4a56a97fb54745e18f5ca034779d92cd
55 N68aa2b8a662a40a8a749f6f709788705
56 Nd747ab88a2c84713bc8c96c737936036
57 Ne6831ca74d1c4d9cb4661d956896f6e8
58 Neb08426147414e42a8eead05fa409e09
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104990202
60 https://doi.org/10.1038/s41533-018-0088-4
61 schema:sdDatePublished 2019-04-10T21:00
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher Nb34310e9ac4f4c6183a6632f4deec2d7
64 schema:url https://www.nature.com/articles/s41533-018-0088-4
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N07d1985617db41559c7bc200fa0d9a1b schema:volumeNumber 28
69 rdf:type schema:PublicationVolume
70 N0b4b0dac533141e792d91d7d1271cf8f rdf:first sg:person.015370236620.81
71 rdf:rest Ncfd2258a9df44a359ac04eb38d10313c
72 N1ddf712ee913463d9a4bb6027f677075 schema:issueNumber 1
73 rdf:type schema:PublicationIssue
74 N494c9c3f818345f58ecde44c24a9d615 rdf:first sg:person.07611776434.60
75 rdf:rest N0b4b0dac533141e792d91d7d1271cf8f
76 N4a56a97fb54745e18f5ca034779d92cd schema:name pubmed_id
77 schema:value 29925836
78 rdf:type schema:PropertyValue
79 N68aa2b8a662a40a8a749f6f709788705 schema:name doi
80 schema:value 10.1038/s41533-018-0088-4
81 rdf:type schema:PropertyValue
82 N824f7cc633f64aa7930fcc845910be2a rdf:first sg:person.01125214207.48
83 rdf:rest Nda808cf7f4b8422d9842f70735502d1c
84 Nb34310e9ac4f4c6183a6632f4deec2d7 schema:name Springer Nature - SN SciGraph project
85 rdf:type schema:Organization
86 Ncfd2258a9df44a359ac04eb38d10313c rdf:first sg:person.01371504405.32
87 rdf:rest N824f7cc633f64aa7930fcc845910be2a
88 Nd747ab88a2c84713bc8c96c737936036 schema:name readcube_id
89 schema:value 725ea7e95f688f1cdef03e989c39715a0f6264c8e6f6ef30b22c1d975acc34b4
90 rdf:type schema:PropertyValue
91 Nda808cf7f4b8422d9842f70735502d1c rdf:first sg:person.01155433410.24
92 rdf:rest rdf:nil
93 Ne6831ca74d1c4d9cb4661d956896f6e8 schema:name dimensions_id
94 schema:value pub.1104990202
95 rdf:type schema:PropertyValue
96 Neb08426147414e42a8eead05fa409e09 schema:name nlm_unique_id
97 schema:value 101631999
98 rdf:type schema:PropertyValue
99 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
100 schema:name Medical and Health Sciences
101 rdf:type schema:DefinedTerm
102 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
103 schema:name Cardiorespiratory Medicine and Haematology
104 rdf:type schema:DefinedTerm
105 sg:grant.2757699 http://pending.schema.org/fundedItem sg:pub.10.1038/s41533-018-0088-4
106 rdf:type schema:MonetaryGrant
107 sg:grant.2771836 http://pending.schema.org/fundedItem sg:pub.10.1038/s41533-018-0088-4
108 rdf:type schema:MonetaryGrant
109 sg:grant.5325621 http://pending.schema.org/fundedItem sg:pub.10.1038/s41533-018-0088-4
110 rdf:type schema:MonetaryGrant
111 sg:journal.1294845 schema:issn 1471-4418
112 2055-1010
113 schema:name Primary Care Respiratory Journal
114 rdf:type schema:Periodical
115 sg:person.01125214207.48 schema:affiliation https://www.grid.ac/institutes/grid.4305.2
116 schema:familyName Sheikh
117 schema:givenName Aziz
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125214207.48
119 rdf:type schema:Person
120 sg:person.01155433410.24 schema:affiliation https://www.grid.ac/institutes/grid.453156.0
121 schema:familyName Davies
122 schema:givenName Gwyneth A
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155433410.24
124 rdf:type schema:Person
125 sg:person.01371504405.32 schema:affiliation https://www.grid.ac/institutes/grid.488827.9
126 schema:familyName Lyons
127 schema:givenName Ronan A
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371504405.32
129 rdf:type schema:Person
130 sg:person.015370236620.81 schema:affiliation https://www.grid.ac/institutes/grid.488827.9
131 schema:familyName Rodgers
132 schema:givenName Sarah E
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015370236620.81
134 rdf:type schema:Person
135 sg:person.07611776434.60 schema:affiliation https://www.grid.ac/institutes/grid.453156.0
136 schema:familyName Sallakh
137 schema:givenName Mohammad A Al
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07611776434.60
139 rdf:type schema:Person
140 sg:pub.10.1007/s11882-014-0509-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006426690
141 https://doi.org/10.1007/s11882-014-0509-6
142 rdf:type schema:CreativeWork
143 sg:pub.10.1007/s11882-015-0542-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046472647
144 https://doi.org/10.1007/s11882-015-0542-0
145 rdf:type schema:CreativeWork
146 sg:pub.10.1186/1472-6947-9-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020284030
147 https://doi.org/10.1186/1472-6947-9-3
148 rdf:type schema:CreativeWork
149 sg:pub.10.1186/1472-6963-9-157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047739446
150 https://doi.org/10.1186/1472-6963-9-157
151 rdf:type schema:CreativeWork
152 sg:pub.10.1186/s12916-016-0657-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005687672
153 https://doi.org/10.1186/s12916-016-0657-8
154 rdf:type schema:CreativeWork
155 sg:pub.10.1186/s12931-017-0508-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1074215913
156 https://doi.org/10.1186/s12931-017-0508-y
157 rdf:type schema:CreativeWork
158 https://app.dimensions.ai/details/publication/pub.1109491899 schema:CreativeWork
159 https://doi.org/10.1016/j.ccm.2013.10.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039681983
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.jaci.2004.11.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009724782
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.jaci.2010.07.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044591664
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.jaci.2014.06.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013019383
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.jclinepi.2004.10.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031983665
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.jclinepi.2007.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016528221
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/s0140-6736(06)69257-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032190336
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/s2213-2600(15)00254-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044155453
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1037/a0016973 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048172582
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1080/10705510701575396 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004013106
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1097/aci.0000000000000326 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018446778
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1111/all.12640 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000121215
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1111/cea.12035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027229723
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1111/j.1365-2222.2009.03321.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024263849
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1136/thoraxjnl-2012-201720 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016637601
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1164/rccm.200711-1754oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1000319395
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1164/rccm.200906-0896oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1036302046
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1183/09031936.00082507 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034011812
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1183/09031936.00174408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010536939
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1183/09031936.00175109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047479340
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1183/13993003.00204-2017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086128606
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1183/13993003.00336-2017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085113545
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1183/13993003.00506-2017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085112373
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1183/13993003.00853-2015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046725471
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1183/13993003.02008-2016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085102117
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1214/aos/1176344136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044872629
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1371/journal.pmed.1001885 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010135876
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1378/chest.123.5.1684 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031526923
214 rdf:type schema:CreativeWork
215 https://doi.org/10.17061/phrp2541540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068264475
216 rdf:type schema:CreativeWork
217 https://doi.org/10.18637/jss.v042.i10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068672632
218 rdf:type schema:CreativeWork
219 https://doi.org/10.3399/bjgp16x686953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006538569
220 rdf:type schema:CreativeWork
221 https://doi.org/10.3399/bjgp16x686965 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017871348
222 rdf:type schema:CreativeWork
223 https://www.grid.ac/institutes/grid.4305.2 schema:alternateName University of Edinburgh
224 schema:name Asthma UK Centre for Applied Research, Edinburgh and Swansea, UK
225 The Farr Institute of Health Informatics Research, Edinburgh and Swansea, UK
226 Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
227 rdf:type schema:Organization
228 https://www.grid.ac/institutes/grid.453156.0 schema:alternateName Asthma UK
229 schema:name Asthma UK Centre for Applied Research, Edinburgh and Swansea, UK
230 Swansea University Medical School, Singleton Park, SA2 8PP, Swansea, UK
231 rdf:type schema:Organization
232 https://www.grid.ac/institutes/grid.488827.9 schema:alternateName Farr Institute
233 schema:name Swansea University Medical School, Singleton Park, SA2 8PP, Swansea, UK
234 The Farr Institute of Health Informatics Research, Edinburgh and Swansea, UK
235 rdf:type schema:Organization
 




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


...