The neutrophil-to-lymphocyte ratio is associated with mortality in the general population: The Rotterdam Study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12-19

AUTHORS

Jesse Fest, T. Rikje Ruiter, Bas Groot Koerkamp, Dimitris Rizopoulos, M. Arfan Ikram, Casper H. J. van Eijck, Bruno H. Stricker

ABSTRACT

Inflammation is a risk factor for morbidity and mortality in the elderly. The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation that integrates the information of the leukocyte differentials into one variable. We aimed to assess whether the NLR is a risk indicator for overall and cause-specific mortality in the general population. We analyzed data (2002-2014) from the Rotterdam Study, a long-standing, population-based, prospective cohort study in a community-dwelling ageing population. The association between the NLR and time to all-cause mortality was assessed with Cox proportional hazard models. We additionally assessed cardiovascular, cancer and other mortality. The multivariable analyses were adjusted for age, gender, socio-economic status (SES), smoking status, body mass index, type 2 diabetes, and history of cancer and cardiovascular disease (CVD). Data of 8715 individuals were included. The mean age was 65.9 years (SD 10.5) and the majority were women (57.1%). The NLR was higher in men, higher age categories, smokers and among individuals with lower SES, prevalent diabetes, or a history of cancer or CVD. During the 11.7 years follow-up period, 1641 individuals died. Survival among individuals in the 3rd, 4th, and 5th quintile of the NLR was significantly poorer than that of those in the 1st quintile (P < 0.001). In the multivariable analysis, NLR levels were independently and significantly associated with an increased risk of all-cause mortality (HR 1.64; 95% CI 1.44-1.86), cardiovascular mortality (HR 1.92; 95% CI 1.49-2.48), and other mortality (HR 1.86; 95% CI 1.54-2.24). No significant association was found for cancer mortality (HR 1.20; 95% CI 0.95-1.51). The NLR is a strong and independent risk indicator for mortality in the elderly population. Its clinical value needs to be established in further studies. More... »

PAGES

1-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10654-018-0472-y

DOI

http://dx.doi.org/10.1007/s10654-018-0472-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110761603

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30569368


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Surgery, Erasmus MC University Medical Center, Rotterdam, The Netherlands", 
            "Department of Epidemiology, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fest", 
        "givenName": "Jesse", 
        "id": "sg:person.01332130705.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332130705.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Epidemiology, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ruiter", 
        "givenName": "T. Rikje", 
        "id": "sg:person.016335523700.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016335523700.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Surgery, Erasmus MC University Medical Center, Rotterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Groot Koerkamp", 
        "givenName": "Bas", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Biostatistics, Erasmus MC University Medical Center, Rotterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rizopoulos", 
        "givenName": "Dimitris", 
        "id": "sg:person.0662055367.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662055367.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Epidemiology, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ikram", 
        "givenName": "M. Arfan", 
        "id": "sg:person.01273302464.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273302464.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Surgery, Erasmus MC University Medical Center, Rotterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Eijck", 
        "givenName": "Casper H. J.", 
        "id": "sg:person.015263522637.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015263522637.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Epidemiology, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stricker", 
        "givenName": "Bruno H.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1001/archinte.167.17.1837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001844952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00145007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003640368", 
          "https://doi.org/10.1007/bf00145007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00145007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003640368", 
          "https://doi.org/10.1007/bf00145007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-012-9668-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005675191", 
          "https://doi.org/10.1007/s10654-012-9668-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/155.2.176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009355040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehq103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010011563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehq103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010011563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.annepidem.2004.08.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010983864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/dju124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013170981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-012-9673-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013575783", 
          "https://doi.org/10.1007/s10654-012-9673-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(09)61717-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018244976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(09)61717-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018244976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kwi326", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020433890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kwi326", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020433890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejme048020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020875132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.279.18.1477", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028173974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.it.2010.05.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032028660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2005.02.054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033093789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1047-2797(96)00024-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040856319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0b013e3181c1ea43", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040999607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0b013e3181c1ea43", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040999607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0b013e3181c1ea43", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040999607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.166.2.188", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041112327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.165.5.500", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043031582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.1985.03360140090031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044070661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ehj.2004.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054732532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1160/th13-03-0211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063293362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079712139", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atherosclerosis.2017.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083744224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kww226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084177849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/m16-2607", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090616922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/m16-2607", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090616922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-017-0321-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092341267", 
          "https://doi.org/10.1007/s10654-017-0321-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-017-0321-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092341267", 
          "https://doi.org/10.1007/s10654-017-0321-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41598-018-28646-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105391125", 
          "https://doi.org/10.1038/s41598-018-28646-w"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12-19", 
    "datePublishedReg": "2018-12-19", 
    "description": "Inflammation is a risk factor for morbidity and mortality in the elderly. The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation that integrates the information of the leukocyte differentials into one variable. We aimed to assess whether the NLR is a risk indicator for overall and cause-specific mortality in the general population. We analyzed data (2002-2014) from the Rotterdam Study, a long-standing, population-based, prospective cohort study in a community-dwelling ageing population. The association between the NLR and time to all-cause mortality was assessed with Cox proportional hazard models. We additionally assessed cardiovascular, cancer and other mortality. The multivariable analyses were adjusted for age, gender, socio-economic status (SES), smoking status, body mass index, type 2 diabetes, and history of cancer and cardiovascular disease (CVD). Data of 8715 individuals were included. The mean age was 65.9\u00a0years (SD 10.5) and the majority were women (57.1%). The NLR was higher in men, higher age categories, smokers and among individuals with lower SES, prevalent diabetes, or a history of cancer or CVD. During the 11.7\u00a0years follow-up period, 1641 individuals died. Survival among individuals in the 3rd, 4th, and 5th quintile of the NLR was significantly poorer than that of those in the 1st quintile (P\u2009<\u20090.001). In the multivariable analysis, NLR levels were independently and significantly associated with an increased risk of all-cause mortality (HR 1.64; 95% CI 1.44-1.86), cardiovascular mortality (HR 1.92; 95% CI 1.49-2.48), and other mortality (HR 1.86; 95% CI 1.54-2.24). No significant association was found for cancer mortality (HR 1.20; 95% CI 0.95-1.51). The NLR is a strong and independent risk indicator for mortality in the elderly population. Its clinical value needs to be established in further studies.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10654-018-0472-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1095636", 
        "issn": [
          "0393-2990", 
          "1573-7284"
        ], 
        "name": "European Journal of Epidemiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "34"
      }
    ], 
    "name": "The neutrophil-to-lymphocyte ratio is associated with mortality in the general population: The Rotterdam Study", 
    "pagination": "1-8", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10654-018-0472-y"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "85c230862d246f09944e7c05e9be965fc5079a26f5d3813264c725715420a5fd"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110761603"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8508062"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30569368"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10654-018-0472-y", 
      "https://app.dimensions.ai/details/publication/pub.1110761603"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:04", 
    "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/v90/0000000375_0000000375/records_91469_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10654-018-0472-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.10.1007/s10654-018-0472-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.10.1007/s10654-018-0472-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10654-018-0472-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10654-018-0472-y'


 

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

196 TRIPLES      21 PREDICATES      55 URIs      20 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10654-018-0472-y schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N69e36ad1ffaf426e8d505e74cd808d89
4 schema:citation sg:pub.10.1007/bf00145007
5 sg:pub.10.1007/s10654-012-9668-8
6 sg:pub.10.1007/s10654-012-9673-y
7 sg:pub.10.1007/s10654-017-0321-4
8 sg:pub.10.1038/s41598-018-28646-w
9 https://app.dimensions.ai/details/publication/pub.1079712139
10 https://doi.org/10.1001/archinte.165.5.500
11 https://doi.org/10.1001/archinte.166.2.188
12 https://doi.org/10.1001/archinte.167.17.1837
13 https://doi.org/10.1001/jama.1985.03360140090031
14 https://doi.org/10.1001/jama.279.18.1477
15 https://doi.org/10.1016/j.annepidem.2004.08.009
16 https://doi.org/10.1016/j.atherosclerosis.2017.02.003
17 https://doi.org/10.1016/j.ehj.2004.05.002
18 https://doi.org/10.1016/j.it.2010.05.006
19 https://doi.org/10.1016/j.jacc.2005.02.054
20 https://doi.org/10.1016/s0140-6736(09)61717-7
21 https://doi.org/10.1016/s1047-2797(96)00024-5
22 https://doi.org/10.1056/nejme048020
23 https://doi.org/10.1093/aje/155.2.176
24 https://doi.org/10.1093/aje/kwi326
25 https://doi.org/10.1093/aje/kww226
26 https://doi.org/10.1093/eurheartj/ehq103
27 https://doi.org/10.1093/jnci/dju124
28 https://doi.org/10.1097/ede.0b013e3181c1ea43
29 https://doi.org/10.1160/th13-03-0211
30 https://doi.org/10.7326/m16-2607
31 schema:datePublished 2018-12-19
32 schema:datePublishedReg 2018-12-19
33 schema:description Inflammation is a risk factor for morbidity and mortality in the elderly. The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation that integrates the information of the leukocyte differentials into one variable. We aimed to assess whether the NLR is a risk indicator for overall and cause-specific mortality in the general population. We analyzed data (2002-2014) from the Rotterdam Study, a long-standing, population-based, prospective cohort study in a community-dwelling ageing population. The association between the NLR and time to all-cause mortality was assessed with Cox proportional hazard models. We additionally assessed cardiovascular, cancer and other mortality. The multivariable analyses were adjusted for age, gender, socio-economic status (SES), smoking status, body mass index, type 2 diabetes, and history of cancer and cardiovascular disease (CVD). Data of 8715 individuals were included. The mean age was 65.9 years (SD 10.5) and the majority were women (57.1%). The NLR was higher in men, higher age categories, smokers and among individuals with lower SES, prevalent diabetes, or a history of cancer or CVD. During the 11.7 years follow-up period, 1641 individuals died. Survival among individuals in the 3rd, 4th, and 5th quintile of the NLR was significantly poorer than that of those in the 1st quintile (P < 0.001). In the multivariable analysis, NLR levels were independently and significantly associated with an increased risk of all-cause mortality (HR 1.64; 95% CI 1.44-1.86), cardiovascular mortality (HR 1.92; 95% CI 1.49-2.48), and other mortality (HR 1.86; 95% CI 1.54-2.24). No significant association was found for cancer mortality (HR 1.20; 95% CI 0.95-1.51). The NLR is a strong and independent risk indicator for mortality in the elderly population. Its clinical value needs to be established in further studies.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree true
37 schema:isPartOf Nb9c4b2268ca1414289d0fdffbe55790d
38 Nd5cf29d981cf4530b36851e82330ad2b
39 sg:journal.1095636
40 schema:name The neutrophil-to-lymphocyte ratio is associated with mortality in the general population: The Rotterdam Study
41 schema:pagination 1-8
42 schema:productId N1a9b5506cc874d4380ad8e5790aacce3
43 N2d3a12e292084a18a60c1d88edb78e34
44 N935ac398ebe1406e8b6e862a833881b2
45 N9819b33f1b5a4baabce4c5afa0d5eda7
46 Nf5e6765aa47941ee9c1d98be777b4e09
47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110761603
48 https://doi.org/10.1007/s10654-018-0472-y
49 schema:sdDatePublished 2019-04-15T09:04
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher N187f89af51e040e999649071901822d5
52 schema:url https://link.springer.com/10.1007%2Fs10654-018-0472-y
53 sgo:license sg:explorer/license/
54 sgo:sdDataset articles
55 rdf:type schema:ScholarlyArticle
56 N187f89af51e040e999649071901822d5 schema:name Springer Nature - SN SciGraph project
57 rdf:type schema:Organization
58 N19c69fdec9f04dfc9382fa9999ca8762 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
59 schema:familyName Stricker
60 schema:givenName Bruno H.
61 rdf:type schema:Person
62 N1a9b5506cc874d4380ad8e5790aacce3 schema:name readcube_id
63 schema:value 85c230862d246f09944e7c05e9be965fc5079a26f5d3813264c725715420a5fd
64 rdf:type schema:PropertyValue
65 N2d3a12e292084a18a60c1d88edb78e34 schema:name pubmed_id
66 schema:value 30569368
67 rdf:type schema:PropertyValue
68 N4700cd72ccf5440b985544633daf99ae rdf:first sg:person.015263522637.41
69 rdf:rest N4b953bdfa9bc4291836ae0c4acc82afa
70 N4b953bdfa9bc4291836ae0c4acc82afa rdf:first N19c69fdec9f04dfc9382fa9999ca8762
71 rdf:rest rdf:nil
72 N5c9b7b8855904099bc40e00fc85b1f16 rdf:first Nd1002b5d007e441b86fd51f084fbb5b0
73 rdf:rest Naa464c1a82c14cb082c9df05882992f3
74 N69e36ad1ffaf426e8d505e74cd808d89 rdf:first sg:person.01332130705.32
75 rdf:rest Nf304c4c66aa747e6bc3b3a8df7fa4ebc
76 N935ac398ebe1406e8b6e862a833881b2 schema:name doi
77 schema:value 10.1007/s10654-018-0472-y
78 rdf:type schema:PropertyValue
79 N9819b33f1b5a4baabce4c5afa0d5eda7 schema:name nlm_unique_id
80 schema:value 8508062
81 rdf:type schema:PropertyValue
82 Naa464c1a82c14cb082c9df05882992f3 rdf:first sg:person.0662055367.28
83 rdf:rest Ne6465a8013f3431589e74328387f007d
84 Nb9c4b2268ca1414289d0fdffbe55790d schema:issueNumber 5
85 rdf:type schema:PublicationIssue
86 Nd1002b5d007e441b86fd51f084fbb5b0 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
87 schema:familyName Groot Koerkamp
88 schema:givenName Bas
89 rdf:type schema:Person
90 Nd5cf29d981cf4530b36851e82330ad2b schema:volumeNumber 34
91 rdf:type schema:PublicationVolume
92 Ne6465a8013f3431589e74328387f007d rdf:first sg:person.01273302464.25
93 rdf:rest N4700cd72ccf5440b985544633daf99ae
94 Nf304c4c66aa747e6bc3b3a8df7fa4ebc rdf:first sg:person.016335523700.07
95 rdf:rest N5c9b7b8855904099bc40e00fc85b1f16
96 Nf5e6765aa47941ee9c1d98be777b4e09 schema:name dimensions_id
97 schema:value pub.1110761603
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:1117 schema:inDefinedTermSet anzsrc-for:
103 schema:name Public Health and Health Services
104 rdf:type schema:DefinedTerm
105 sg:journal.1095636 schema:issn 0393-2990
106 1573-7284
107 schema:name European Journal of Epidemiology
108 rdf:type schema:Periodical
109 sg:person.01273302464.25 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
110 schema:familyName Ikram
111 schema:givenName M. Arfan
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273302464.25
113 rdf:type schema:Person
114 sg:person.01332130705.32 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
115 schema:familyName Fest
116 schema:givenName Jesse
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332130705.32
118 rdf:type schema:Person
119 sg:person.015263522637.41 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
120 schema:familyName van Eijck
121 schema:givenName Casper H. J.
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015263522637.41
123 rdf:type schema:Person
124 sg:person.016335523700.07 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
125 schema:familyName Ruiter
126 schema:givenName T. Rikje
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016335523700.07
128 rdf:type schema:Person
129 sg:person.0662055367.28 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
130 schema:familyName Rizopoulos
131 schema:givenName Dimitris
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662055367.28
133 rdf:type schema:Person
134 sg:pub.10.1007/bf00145007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003640368
135 https://doi.org/10.1007/bf00145007
136 rdf:type schema:CreativeWork
137 sg:pub.10.1007/s10654-012-9668-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005675191
138 https://doi.org/10.1007/s10654-012-9668-8
139 rdf:type schema:CreativeWork
140 sg:pub.10.1007/s10654-012-9673-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1013575783
141 https://doi.org/10.1007/s10654-012-9673-y
142 rdf:type schema:CreativeWork
143 sg:pub.10.1007/s10654-017-0321-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092341267
144 https://doi.org/10.1007/s10654-017-0321-4
145 rdf:type schema:CreativeWork
146 sg:pub.10.1038/s41598-018-28646-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1105391125
147 https://doi.org/10.1038/s41598-018-28646-w
148 rdf:type schema:CreativeWork
149 https://app.dimensions.ai/details/publication/pub.1079712139 schema:CreativeWork
150 https://doi.org/10.1001/archinte.165.5.500 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043031582
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1001/archinte.166.2.188 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041112327
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1001/archinte.167.17.1837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001844952
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1001/jama.1985.03360140090031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044070661
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1001/jama.279.18.1477 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028173974
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.annepidem.2004.08.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010983864
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.atherosclerosis.2017.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083744224
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.ehj.2004.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054732532
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.it.2010.05.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032028660
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.jacc.2005.02.054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033093789
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/s0140-6736(09)61717-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018244976
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/s1047-2797(96)00024-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040856319
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1056/nejme048020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020875132
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1093/aje/155.2.176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009355040
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1093/aje/kwi326 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020433890
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1093/aje/kww226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084177849
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1093/eurheartj/ehq103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010011563
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1093/jnci/dju124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013170981
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1097/ede.0b013e3181c1ea43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040999607
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1160/th13-03-0211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063293362
189 rdf:type schema:CreativeWork
190 https://doi.org/10.7326/m16-2607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090616922
191 rdf:type schema:CreativeWork
192 https://www.grid.ac/institutes/grid.5645.2 schema:alternateName Erasmus University Medical Center
193 schema:name Department of Biostatistics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
194 Department of Epidemiology, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
195 Department of Surgery, Erasmus MC University Medical Center, Rotterdam, The Netherlands
196 rdf:type schema:Organization
 




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


...