Living in immigrant communities does not impact total knee arthroplasty outcomes: experience from a high-volume center in the United States View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Bella Mehta, Jackie Szymonifka, Shirin Dey, Iris Navarro-Millan, Stephen Grassia, Lisa A. Mandl, Anne R. Bass, Linda Russell, Michael Parks, Mark Figgie, Lily Lee, Joe Nguyen, Susan M. Goodman

ABSTRACT

BACKGROUND: Community characteristics such as poverty affect total knee arthroplasty (TKA) outcomes. However, it is unknown whether other community factors such as immigrant proportion (IP) also affect outcomes. Our objective was to determine the association of neighborhood IP on preoperative (pre-op) and 2-year postoperative (post-op) Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain and function after elective TKA. METHODS: Patients in a high volume institutional TKA registry between May 2007 and February 2011 were retrospectively analyzed. Demographics, pre-op and 2-year post-op WOMAC pain and function scores, and geocodable addresses were obtained. Patient-level variables were linked to US Census Bureau census tract data. The effect of patient and neighborhood-level factors on WOMAC scores were analyzed using linear mixed effects models. RESULTS: 3898 TKA patients were analyzed. Pre-op and 2-year post-op WOMAC pain and function scores were between 2.75-4.88 WOMAC points worse in neighborhoods with a high IP (≥ 40%) compared to low IP (< 10%). In multivariable analyses, these differences were not statistically significant. Women had worse pre-op and 2-year post-op WOMAC scores (all p ≤ 0.04), but this difference was not influenced by neighborhood IP (all pinteraction NS). CONCLUSIONS: Patients living in high (≥40%) IP neighborhoods do not have worse pre-op or 2-year post-op pain and function outcomes after TKA compared to those living in low (< 10%) IP neighborhoods. Although sex differences favoring males are notable, these differences are not associated with IP. High neighborhood IP do not appear to affect outcomes after TKA. More... »

PAGES

67

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12891-019-2446-y

DOI

http://dx.doi.org/10.1186/s12891-019-2446-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112038542

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30738438


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Cornell University", 
          "id": "https://www.grid.ac/institutes/grid.5386.8", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA", 
            "Weill Cornell Medicine, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mehta", 
        "givenName": "Bella", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital for Special Surgery", 
          "id": "https://www.grid.ac/institutes/grid.239915.5", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Szymonifka", 
        "givenName": "Jackie", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital for Special Surgery", 
          "id": "https://www.grid.ac/institutes/grid.239915.5", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dey", 
        "givenName": "Shirin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cornell University", 
          "id": "https://www.grid.ac/institutes/grid.5386.8", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA", 
            "Weill Cornell Medicine, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Navarro-Millan", 
        "givenName": "Iris", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital for Special Surgery", 
          "id": "https://www.grid.ac/institutes/grid.239915.5", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grassia", 
        "givenName": "Stephen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cornell University", 
          "id": "https://www.grid.ac/institutes/grid.5386.8", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA", 
            "Weill Cornell Medicine, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mandl", 
        "givenName": "Lisa A.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cornell University", 
          "id": "https://www.grid.ac/institutes/grid.5386.8", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA", 
            "Weill Cornell Medicine, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bass", 
        "givenName": "Anne R.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cornell University", 
          "id": "https://www.grid.ac/institutes/grid.5386.8", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA", 
            "Weill Cornell Medicine, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Russell", 
        "givenName": "Linda", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cornell University", 
          "id": "https://www.grid.ac/institutes/grid.5386.8", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA", 
            "Weill Cornell Medicine, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parks", 
        "givenName": "Michael", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cornell University", 
          "id": "https://www.grid.ac/institutes/grid.5386.8", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA", 
            "Weill Cornell Medicine, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Figgie", 
        "givenName": "Mark", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital for Special Surgery", 
          "id": "https://www.grid.ac/institutes/grid.239915.5", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Lily", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital for Special Surgery", 
          "id": "https://www.grid.ac/institutes/grid.239915.5", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nguyen", 
        "givenName": "Joe", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cornell University", 
          "id": "https://www.grid.ac/institutes/grid.5386.8", 
          "name": [
            "Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA", 
            "Weill Cornell Medicine, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goodman", 
        "givenName": "Susan M.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ajo.2014.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005968179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199009203231206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006493061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2796.2010.02310.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008213753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/17453674.2014.919556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009077450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.22333", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014537360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2013-203494", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017873973"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10903-010-9339-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017941240", 
          "https://doi.org/10.1007/s10903-010-9339-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10995-014-1640-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019296209", 
          "https://doi.org/10.1007/s10995-014-1640-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11524-006-9040-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019401852", 
          "https://doi.org/10.1007/s11524-006-9040-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199009133231106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020120268"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cger.2010.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026340046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11999-016-4919-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027879047", 
          "https://doi.org/10.1007/s11999-016-4919-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/s11999-016-4919-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027879047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11999-016-4919-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027879047", 
          "https://doi.org/10.1007/s11999-016-4919-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2015/460181", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031859535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1353/dem.2008.0009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040653359", 
          "https://doi.org/10.1353/dem.2008.0009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.167.2.182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041825886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.2010.128637", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043464786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12884-016-0886-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044928255", 
          "https://doi.org/10.1186/s12884-016-0886-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3402/gha.v8.27591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045873277"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.21562", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046397028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.21562", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046397028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gheart.2016.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047834890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.arth.2016.02.046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051172370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/17453674.2015.1135664", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052639024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.84.3.351", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068874986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.93.10.1655", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068878877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/00004623-200107000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068894482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.15.01365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068898294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.15.01365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068898294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.15.01365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068898294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.j.01958", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068902402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.j.01958", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068902402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.j.01958", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068902402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3899/jrheum.121075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071543073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3899/jrheum.150950", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071543991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079536772", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Community characteristics such as poverty affect total knee arthroplasty (TKA) outcomes. However, it is unknown whether other community factors such as immigrant proportion (IP) also affect outcomes. Our objective was to determine the association of neighborhood IP on preoperative (pre-op) and 2-year postoperative (post-op) Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain and function after elective TKA.\nMETHODS: Patients in a high volume institutional TKA registry between May 2007 and February 2011 were retrospectively analyzed. Demographics, pre-op and 2-year post-op WOMAC pain and function scores, and geocodable addresses were obtained. Patient-level variables were linked to US Census Bureau census tract data. The effect of patient and neighborhood-level factors on WOMAC scores were analyzed using linear mixed effects models.\nRESULTS: 3898 TKA patients were analyzed. Pre-op and 2-year post-op WOMAC pain and function scores were between 2.75-4.88 WOMAC points worse in neighborhoods with a high IP (\u2265 40%) compared to low IP (<\u200910%). In multivariable analyses, these differences were not statistically significant. Women had worse pre-op and 2-year post-op WOMAC scores (all p\u2009\u2264\u20090.04), but this difference was not influenced by neighborhood IP (all pinteraction NS).\nCONCLUSIONS: Patients living in high (\u226540%) IP neighborhoods do not have worse pre-op or 2-year post-op pain and function outcomes after TKA compared to those living in low (<\u200910%) IP neighborhoods. Although sex differences favoring males are notable, these differences are not associated with IP. High neighborhood IP do not appear to affect outcomes after TKA.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12891-019-2446-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2695580", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6809920", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2705242", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1024957", 
        "issn": [
          "1471-2474"
        ], 
        "name": "BMC Musculoskeletal Disorders", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "name": "Living in immigrant communities does not impact total knee arthroplasty outcomes: experience from a high-volume center in the United States", 
    "pagination": "67", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0f022b876da62fbdaaf5c417a1d39bd0f9088f0c2266305ff5da3898b6203a2b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30738438"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968565"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12891-019-2446-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112038542"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12891-019-2446-y", 
      "https://app.dimensions.ai/details/publication/pub.1112038542"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:52", 
    "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/v90/0000000347_0000000347/records_89790_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12891-019-2446-y"
  }
]
 

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/s12891-019-2446-y'

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/s12891-019-2446-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12891-019-2446-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12891-019-2446-y'


 

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

247 TRIPLES      21 PREDICATES      60 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12891-019-2446-y schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Na798df14084c415083cb2f081c15ebf9
4 schema:citation sg:pub.10.1007/s10903-010-9339-3
5 sg:pub.10.1007/s10995-014-1640-7
6 sg:pub.10.1007/s11524-006-9040-y
7 sg:pub.10.1007/s11999-016-4919-8
8 sg:pub.10.1186/s12884-016-0886-z
9 sg:pub.10.1353/dem.2008.0009
10 https://app.dimensions.ai/details/publication/pub.1079536772
11 https://doi.org/10.1001/archinte.167.2.182
12 https://doi.org/10.1002/art.21562
13 https://doi.org/10.1002/art.22333
14 https://doi.org/10.1007/s11999-016-4919-8
15 https://doi.org/10.1016/j.ajo.2014.07.007
16 https://doi.org/10.1016/j.arth.2016.02.046
17 https://doi.org/10.1016/j.cger.2010.03.001
18 https://doi.org/10.1016/j.gheart.2016.08.002
19 https://doi.org/10.1056/nejm199009133231106
20 https://doi.org/10.1056/nejm199009203231206
21 https://doi.org/10.1111/j.1365-2796.2010.02310.x
22 https://doi.org/10.1136/annrheumdis-2013-203494
23 https://doi.org/10.1136/ard.2010.128637
24 https://doi.org/10.1155/2015/460181
25 https://doi.org/10.2105/ajph.84.3.351
26 https://doi.org/10.2105/ajph.93.10.1655
27 https://doi.org/10.2106/00004623-200107000-00005
28 https://doi.org/10.2106/jbjs.15.01365
29 https://doi.org/10.2106/jbjs.j.01958
30 https://doi.org/10.3109/17453674.2014.919556
31 https://doi.org/10.3109/17453674.2015.1135664
32 https://doi.org/10.3402/gha.v8.27591
33 https://doi.org/10.3899/jrheum.121075
34 https://doi.org/10.3899/jrheum.150950
35 schema:datePublished 2019-12
36 schema:datePublishedReg 2019-12-01
37 schema:description BACKGROUND: Community characteristics such as poverty affect total knee arthroplasty (TKA) outcomes. However, it is unknown whether other community factors such as immigrant proportion (IP) also affect outcomes. Our objective was to determine the association of neighborhood IP on preoperative (pre-op) and 2-year postoperative (post-op) Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain and function after elective TKA. METHODS: Patients in a high volume institutional TKA registry between May 2007 and February 2011 were retrospectively analyzed. Demographics, pre-op and 2-year post-op WOMAC pain and function scores, and geocodable addresses were obtained. Patient-level variables were linked to US Census Bureau census tract data. The effect of patient and neighborhood-level factors on WOMAC scores were analyzed using linear mixed effects models. RESULTS: 3898 TKA patients were analyzed. Pre-op and 2-year post-op WOMAC pain and function scores were between 2.75-4.88 WOMAC points worse in neighborhoods with a high IP (≥ 40%) compared to low IP (< 10%). In multivariable analyses, these differences were not statistically significant. Women had worse pre-op and 2-year post-op WOMAC scores (all p ≤ 0.04), but this difference was not influenced by neighborhood IP (all pinteraction NS). CONCLUSIONS: Patients living in high (≥40%) IP neighborhoods do not have worse pre-op or 2-year post-op pain and function outcomes after TKA compared to those living in low (< 10%) IP neighborhoods. Although sex differences favoring males are notable, these differences are not associated with IP. High neighborhood IP do not appear to affect outcomes after TKA.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree true
41 schema:isPartOf N37182c882b41453dbdeb57265cc814e8
42 Neb3d60ff773b40a187cd5358d179224e
43 sg:journal.1024957
44 schema:name Living in immigrant communities does not impact total knee arthroplasty outcomes: experience from a high-volume center in the United States
45 schema:pagination 67
46 schema:productId N30f215cea22744c7b8c2185e02c85658
47 N339dcc3810c84f2f92f51e1c0e6af12f
48 N4118d5e399594702a9213768b8c214af
49 N851e5da5582d47e18b1ad93199a6210b
50 N9a6296bd55fd410cbd83492b47d7e321
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112038542
52 https://doi.org/10.1186/s12891-019-2446-y
53 schema:sdDatePublished 2019-04-11T09:52
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N26907e73ff3b450b9d63119487a4f371
56 schema:url https://link.springer.com/10.1186%2Fs12891-019-2446-y
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N14a10fdf521540d3af8cbaa092699197 rdf:first Ne092def3c69e4848a4497825c30bd7ed
61 rdf:rest rdf:nil
62 N18326ced37074c0883b7f2a5753f5de1 rdf:first N7f4c9255c21b43728ae26b353a4c921f
63 rdf:rest Ne421de9cfb47410faa71480511b8ab79
64 N26907e73ff3b450b9d63119487a4f371 schema:name Springer Nature - SN SciGraph project
65 rdf:type schema:Organization
66 N2830473e86f64500bd50158e88de7ddc schema:affiliation https://www.grid.ac/institutes/grid.5386.8
67 schema:familyName Figgie
68 schema:givenName Mark
69 rdf:type schema:Person
70 N30f215cea22744c7b8c2185e02c85658 schema:name doi
71 schema:value 10.1186/s12891-019-2446-y
72 rdf:type schema:PropertyValue
73 N339dcc3810c84f2f92f51e1c0e6af12f schema:name nlm_unique_id
74 schema:value 100968565
75 rdf:type schema:PropertyValue
76 N37182c882b41453dbdeb57265cc814e8 schema:volumeNumber 20
77 rdf:type schema:PublicationVolume
78 N38c76d5c014d4c6daffc7db75626a854 rdf:first Nc432174844c7407b9644448a15de886e
79 rdf:rest Nfdcf1173f0b84b3a81b8262eb458efae
80 N4118d5e399594702a9213768b8c214af schema:name readcube_id
81 schema:value 0f022b876da62fbdaaf5c417a1d39bd0f9088f0c2266305ff5da3898b6203a2b
82 rdf:type schema:PropertyValue
83 N42d9cb7ec6bc4d209a0296dcc246fe00 rdf:first N9ab0618e574d4408b568bc84e21193d6
84 rdf:rest N44db6f1f4f384465b9fbe0844b73911d
85 N44db6f1f4f384465b9fbe0844b73911d rdf:first Ndddeca4d01264aba813b817b6665748d
86 rdf:rest N18326ced37074c0883b7f2a5753f5de1
87 N538d45b800ef4c4ba1e7358d6ede97bc schema:affiliation https://www.grid.ac/institutes/grid.239915.5
88 schema:familyName Nguyen
89 schema:givenName Joe
90 rdf:type schema:Person
91 N72c973a7716b46b0b2a650cb0abb55c1 rdf:first Nec026015b10242e3a56781781f4b57bb
92 rdf:rest N38c76d5c014d4c6daffc7db75626a854
93 N76f4db4672cc4529875d58c9c626eb44 rdf:first Nbacd8f99074f463aae5497bdb05eacb5
94 rdf:rest Nd781665f53794da2918eb24642df0aca
95 N7f4c9255c21b43728ae26b353a4c921f schema:affiliation https://www.grid.ac/institutes/grid.5386.8
96 schema:familyName Navarro-Millan
97 schema:givenName Iris
98 rdf:type schema:Person
99 N834d99f444914649ba177f34cb1ce6a1 schema:affiliation https://www.grid.ac/institutes/grid.239915.5
100 schema:familyName Grassia
101 schema:givenName Stephen
102 rdf:type schema:Person
103 N834fc58480cb42d3877de424d4250470 schema:affiliation https://www.grid.ac/institutes/grid.5386.8
104 schema:familyName Mehta
105 schema:givenName Bella
106 rdf:type schema:Person
107 N851e5da5582d47e18b1ad93199a6210b schema:name dimensions_id
108 schema:value pub.1112038542
109 rdf:type schema:PropertyValue
110 N9a6296bd55fd410cbd83492b47d7e321 schema:name pubmed_id
111 schema:value 30738438
112 rdf:type schema:PropertyValue
113 N9ab0618e574d4408b568bc84e21193d6 schema:affiliation https://www.grid.ac/institutes/grid.239915.5
114 schema:familyName Szymonifka
115 schema:givenName Jackie
116 rdf:type schema:Person
117 Na798df14084c415083cb2f081c15ebf9 rdf:first N834fc58480cb42d3877de424d4250470
118 rdf:rest N42d9cb7ec6bc4d209a0296dcc246fe00
119 Nb64f1627ce6d4f36bcbb85634bff3b33 rdf:first Nbcd5d38988624aba8b0a129a55fe4ed7
120 rdf:rest N72c973a7716b46b0b2a650cb0abb55c1
121 Nbacd8f99074f463aae5497bdb05eacb5 schema:affiliation https://www.grid.ac/institutes/grid.239915.5
122 schema:familyName Lee
123 schema:givenName Lily
124 rdf:type schema:Person
125 Nbcd5d38988624aba8b0a129a55fe4ed7 schema:affiliation https://www.grid.ac/institutes/grid.5386.8
126 schema:familyName Mandl
127 schema:givenName Lisa A.
128 rdf:type schema:Person
129 Nc432174844c7407b9644448a15de886e schema:affiliation https://www.grid.ac/institutes/grid.5386.8
130 schema:familyName Russell
131 schema:givenName Linda
132 rdf:type schema:Person
133 Nd781665f53794da2918eb24642df0aca rdf:first N538d45b800ef4c4ba1e7358d6ede97bc
134 rdf:rest N14a10fdf521540d3af8cbaa092699197
135 Ndddeca4d01264aba813b817b6665748d schema:affiliation https://www.grid.ac/institutes/grid.239915.5
136 schema:familyName Dey
137 schema:givenName Shirin
138 rdf:type schema:Person
139 Ne092def3c69e4848a4497825c30bd7ed schema:affiliation https://www.grid.ac/institutes/grid.5386.8
140 schema:familyName Goodman
141 schema:givenName Susan M.
142 rdf:type schema:Person
143 Ne421de9cfb47410faa71480511b8ab79 rdf:first N834d99f444914649ba177f34cb1ce6a1
144 rdf:rest Nb64f1627ce6d4f36bcbb85634bff3b33
145 Neb3d60ff773b40a187cd5358d179224e schema:issueNumber 1
146 rdf:type schema:PublicationIssue
147 Nec026015b10242e3a56781781f4b57bb schema:affiliation https://www.grid.ac/institutes/grid.5386.8
148 schema:familyName Bass
149 schema:givenName Anne R.
150 rdf:type schema:Person
151 Nf67d812b88e542a3874de08e872418bd schema:affiliation https://www.grid.ac/institutes/grid.5386.8
152 schema:familyName Parks
153 schema:givenName Michael
154 rdf:type schema:Person
155 Nfc65458ba6104f9d88b9edafcc55e478 rdf:first N2830473e86f64500bd50158e88de7ddc
156 rdf:rest N76f4db4672cc4529875d58c9c626eb44
157 Nfdcf1173f0b84b3a81b8262eb458efae rdf:first Nf67d812b88e542a3874de08e872418bd
158 rdf:rest Nfc65458ba6104f9d88b9edafcc55e478
159 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
160 schema:name Medical and Health Sciences
161 rdf:type schema:DefinedTerm
162 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
163 schema:name Clinical Sciences
164 rdf:type schema:DefinedTerm
165 sg:grant.2695580 http://pending.schema.org/fundedItem sg:pub.10.1186/s12891-019-2446-y
166 rdf:type schema:MonetaryGrant
167 sg:grant.2705242 http://pending.schema.org/fundedItem sg:pub.10.1186/s12891-019-2446-y
168 rdf:type schema:MonetaryGrant
169 sg:grant.6809920 http://pending.schema.org/fundedItem sg:pub.10.1186/s12891-019-2446-y
170 rdf:type schema:MonetaryGrant
171 sg:journal.1024957 schema:issn 1471-2474
172 schema:name BMC Musculoskeletal Disorders
173 rdf:type schema:Periodical
174 sg:pub.10.1007/s10903-010-9339-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017941240
175 https://doi.org/10.1007/s10903-010-9339-3
176 rdf:type schema:CreativeWork
177 sg:pub.10.1007/s10995-014-1640-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019296209
178 https://doi.org/10.1007/s10995-014-1640-7
179 rdf:type schema:CreativeWork
180 sg:pub.10.1007/s11524-006-9040-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1019401852
181 https://doi.org/10.1007/s11524-006-9040-y
182 rdf:type schema:CreativeWork
183 sg:pub.10.1007/s11999-016-4919-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027879047
184 https://doi.org/10.1007/s11999-016-4919-8
185 rdf:type schema:CreativeWork
186 sg:pub.10.1186/s12884-016-0886-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1044928255
187 https://doi.org/10.1186/s12884-016-0886-z
188 rdf:type schema:CreativeWork
189 sg:pub.10.1353/dem.2008.0009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040653359
190 https://doi.org/10.1353/dem.2008.0009
191 rdf:type schema:CreativeWork
192 https://app.dimensions.ai/details/publication/pub.1079536772 schema:CreativeWork
193 https://doi.org/10.1001/archinte.167.2.182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041825886
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1002/art.21562 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046397028
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1002/art.22333 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014537360
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1007/s11999-016-4919-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027879047
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/j.ajo.2014.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005968179
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/j.arth.2016.02.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051172370
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/j.cger.2010.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026340046
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/j.gheart.2016.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047834890
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1056/nejm199009133231106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020120268
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1056/nejm199009203231206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006493061
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1111/j.1365-2796.2010.02310.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008213753
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1136/annrheumdis-2013-203494 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017873973
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1136/ard.2010.128637 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043464786
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1155/2015/460181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031859535
220 rdf:type schema:CreativeWork
221 https://doi.org/10.2105/ajph.84.3.351 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068874986
222 rdf:type schema:CreativeWork
223 https://doi.org/10.2105/ajph.93.10.1655 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068878877
224 rdf:type schema:CreativeWork
225 https://doi.org/10.2106/00004623-200107000-00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068894482
226 rdf:type schema:CreativeWork
227 https://doi.org/10.2106/jbjs.15.01365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068898294
228 rdf:type schema:CreativeWork
229 https://doi.org/10.2106/jbjs.j.01958 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068902402
230 rdf:type schema:CreativeWork
231 https://doi.org/10.3109/17453674.2014.919556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009077450
232 rdf:type schema:CreativeWork
233 https://doi.org/10.3109/17453674.2015.1135664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052639024
234 rdf:type schema:CreativeWork
235 https://doi.org/10.3402/gha.v8.27591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045873277
236 rdf:type schema:CreativeWork
237 https://doi.org/10.3899/jrheum.121075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071543073
238 rdf:type schema:CreativeWork
239 https://doi.org/10.3899/jrheum.150950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071543991
240 rdf:type schema:CreativeWork
241 https://www.grid.ac/institutes/grid.239915.5 schema:alternateName Hospital for Special Surgery
242 schema:name Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA
243 rdf:type schema:Organization
244 https://www.grid.ac/institutes/grid.5386.8 schema:alternateName Cornell University
245 schema:name Hospital for Special Surgery, 535 E 70th Street, 10021, New York, NY, USA
246 Weill Cornell Medicine, New York, USA
247 rdf:type schema:Organization
 




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


...