Coffee, tea and caffeine intake and the risk of non-melanoma skin cancer: a review of the literature and meta-analysis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-07-07

AUTHORS

Saverio Caini, Sofia Cattaruzza, Benedetta Bendinelli, Giulio Tosti, Giovanna Masala, Patrizia Gnagnarella, Melania Assedi, Ignazio Stanganelli, Domenico Palli, Sara Gandini

ABSTRACT

PurposeLaboratory studies suggested that caffeine and other nutrients contained in coffee and tea may protect against non-melanoma skin cancer (NMSC). However, epidemiological studies conducted so far have produced conflicting results.MethodsWe performed a literature review and meta-analysis of observational studies published until February 2016 that investigated the association between coffee and tea intake and NMSC risk. We calculated summary relative risk (SRR) and corresponding 95 % confidence intervals (95 % CI) by using random effects with maximum likelihood estimation. ResultsOverall, 37,627 NMSC cases from 13 papers were available for analysis. Intake of caffeinated coffee was inversely associated with NMSC risk (SRR for those in the highest vs. lowest category of intake: 0.82, 95 % CI 0.75–0.89, I2 = 48 %), as well as intake of caffeine (SRR 0.86, 95 % CI 0.80–0.91, I2 = 48 %). In subgroup analysis, these associations were limited to the basal cell cancer (BCC) histotype. There was no association between intake of decaffeinated coffee (SRR 1.01, 95 % CI 0.85–1.21, I2 = 0) and tea (0.88, 95 % CI 0.72–1.07, I2 = 0 %) and NMSC risk. There was no evidence of publication bias affecting the results. The available evidence was not sufficient to draw conclusions on the association between green tea intake and NMSC risk.ConclusionsCoffee intake appears to exert a moderate protective effect against BCC development, probably through the biological effect of caffeine. However, the observational nature of studies included, subject to bias and confounding, suggests taking with caution these results that should be verified in randomized clinical trials. More... »

PAGES

1-12

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00394-016-1253-6

DOI

http://dx.doi.org/10.1007/s00394-016-1253-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032216672

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27388462


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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Caffeine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Basal Cell", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coffee", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Observational Studies as Topic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Skin Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tea", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Via delle Oblate 2, 50139, Florence, Italy", 
          "id": "http://www.grid.ac/institutes/grid.417623.5", 
          "name": [
            "Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Via delle Oblate 2, 50139, Florence, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Caini", 
        "givenName": "Saverio", 
        "id": "sg:person.01161605365.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161605365.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Public Health and Infectious Diseases, Faculty of Medicine, Policlinico Umberto I, \u201cSapienza\u201d University, Rome, Italy", 
          "id": "http://www.grid.ac/institutes/grid.7841.a", 
          "name": [
            "Department of Public Health and Infectious Diseases, Faculty of Medicine, Policlinico Umberto I, \u201cSapienza\u201d University, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cattaruzza", 
        "givenName": "Sofia", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Via delle Oblate 2, 50139, Florence, Italy", 
          "id": "http://www.grid.ac/institutes/grid.417623.5", 
          "name": [
            "Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Via delle Oblate 2, 50139, Florence, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bendinelli", 
        "givenName": "Benedetta", 
        "id": "sg:person.0615025337.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615025337.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Dermatoncological Surgery, European Institute of Oncology, Milan, Italy", 
          "id": "http://www.grid.ac/institutes/grid.15667.33", 
          "name": [
            "Division of Dermatoncological Surgery, European Institute of Oncology, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tosti", 
        "givenName": "Giulio", 
        "id": "sg:person.0714233630.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714233630.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Via delle Oblate 2, 50139, Florence, Italy", 
          "id": "http://www.grid.ac/institutes/grid.417623.5", 
          "name": [
            "Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Via delle Oblate 2, 50139, Florence, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Masala", 
        "givenName": "Giovanna", 
        "id": "sg:person.01215545050.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215545050.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy", 
          "id": "http://www.grid.ac/institutes/grid.15667.33", 
          "name": [
            "Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gnagnarella", 
        "givenName": "Patrizia", 
        "id": "sg:person.0627335421.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627335421.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Via delle Oblate 2, 50139, Florence, Italy", 
          "id": "http://www.grid.ac/institutes/grid.417623.5", 
          "name": [
            "Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Via delle Oblate 2, 50139, Florence, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Assedi", 
        "givenName": "Melania", 
        "id": "sg:person.01272316237.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272316237.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Skin Cancer Unit, Scientific Institute of Romagna for the Study and Treatment of Cancer, IRCSS, IRST, Meldola, Italy", 
          "id": "http://www.grid.ac/institutes/grid.419563.c", 
          "name": [
            "Skin Cancer Unit, Scientific Institute of Romagna for the Study and Treatment of Cancer, IRCSS, IRST, Meldola, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stanganelli", 
        "givenName": "Ignazio", 
        "id": "sg:person.01067726436.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067726436.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Via delle Oblate 2, 50139, Florence, Italy", 
          "id": "http://www.grid.ac/institutes/grid.417623.5", 
          "name": [
            "Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Via delle Oblate 2, 50139, Florence, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Palli", 
        "givenName": "Domenico", 
        "id": "sg:person.010014537677.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010014537677.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy", 
          "id": "http://www.grid.ac/institutes/grid.15667.33", 
          "name": [
            "Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gandini", 
        "givenName": "Sara", 
        "id": "sg:person.0600005230.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600005230.87"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1471-2407-11-96", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015006244", 
          "https://doi.org/10.1186/1471-2407-11-96"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2165/11589300-000000000-00000", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021518694", 
          "https://doi.org/10.2165/11589300-000000000-00000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2407-12-417", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004152667", 
          "https://doi.org/10.1186/1471-2407-12-417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40257-015-0165-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003962281", 
          "https://doi.org/10.1007/s40257-015-0165-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00394-013-0556-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010487476", 
          "https://doi.org/10.1007/s00394-013-0556-0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-07-07", 
    "datePublishedReg": "2016-07-07", 
    "description": "PurposeLaboratory studies suggested that caffeine and other nutrients contained in coffee and tea may protect against non-melanoma skin cancer (NMSC). However, epidemiological studies conducted so far have produced conflicting results.MethodsWe performed a literature review and meta-analysis of observational studies published until February 2016 that investigated the association between coffee and tea intake and NMSC risk. We calculated summary relative risk (SRR) and corresponding 95\u00a0% confidence intervals (95\u00a0% CI) by using random effects with maximum likelihood estimation.\nResultsOverall, 37,627 NMSC cases from 13 papers were available for analysis. Intake of caffeinated coffee was inversely associated with NMSC risk (SRR for those in the highest vs. lowest category of intake: 0.82, 95\u00a0% CI 0.75\u20130.89, I2\u00a0=\u00a048\u00a0%), as well as intake of caffeine (SRR 0.86, 95\u00a0% CI 0.80\u20130.91, I2\u00a0=\u00a048\u00a0%). In subgroup analysis, these associations were limited to the basal cell cancer (BCC) histotype. There was no association between intake of decaffeinated coffee (SRR 1.01, 95\u00a0% CI 0.85\u20131.21, I2\u00a0=\u00a00) and tea (0.88, 95\u00a0% CI 0.72\u20131.07, I2\u00a0=\u00a00\u00a0%) and NMSC risk. There was no evidence of publication bias affecting the results. The available evidence was not sufficient to draw conclusions on the association between green tea intake and NMSC risk.ConclusionsCoffee intake appears to exert a moderate protective effect against BCC development, probably through the biological effect of caffeine. However, the observational nature of studies included, subject to bias and confounding, suggests taking with caution these results that should be verified in randomized clinical trials.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00394-016-1253-6", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1294989", 
        "issn": [
          "1436-6207", 
          "1436-6215"
        ], 
        "name": "European Journal of Nutrition", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "56"
      }
    ], 
    "keywords": [
      "non-melanoma skin cancer", 
      "summary relative risk", 
      "NMSC risk", 
      "tea intake", 
      "skin cancer", 
      "green tea intake", 
      "randomized clinical trials", 
      "intake of caffeine", 
      "moderate protective effect", 
      "subgroup analysis", 
      "BCC development", 
      "relative risk", 
      "caffeine intake", 
      "NMSC cases", 
      "caffeinated coffee", 
      "cancer histotypes", 
      "clinical trials", 
      "observational study", 
      "protective effect", 
      "observational nature", 
      "epidemiological studies", 
      "decaffeinated coffee", 
      "publication bias", 
      "intake", 
      "available evidence", 
      "conflicting results", 
      "confidence intervals", 
      "risk", 
      "cancer", 
      "association", 
      "caffeine", 
      "biological effects", 
      "literature review", 
      "tea", 
      "review", 
      "random effects", 
      "histotype", 
      "MethodsWe", 
      "study", 
      "trials", 
      "ResultsOverall", 
      "evidence", 
      "coffee", 
      "effect", 
      "conclusion", 
      "caution", 
      "intervals", 
      "cases", 
      "results", 
      "bias", 
      "analysis", 
      "literature", 
      "development", 
      "nutrients", 
      "nature", 
      "estimation", 
      "likelihood estimation", 
      "maximum likelihood estimation", 
      "paper", 
      "PurposeLaboratory studies", 
      "basal cell cancer (BCC) histotype", 
      "cell cancer (BCC) histotype", 
      "ConclusionsCoffee intake"
    ], 
    "name": "Coffee, tea and caffeine intake and the risk of non-melanoma skin cancer: a review of the literature and meta-analysis", 
    "pagination": "1-12", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1032216672"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00394-016-1253-6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27388462"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00394-016-1253-6", 
      "https://app.dimensions.ai/details/publication/pub.1032216672"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:40", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_690.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00394-016-1253-6"
  }
]
 

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/s00394-016-1253-6'

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/s00394-016-1253-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00394-016-1253-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00394-016-1253-6'


 

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

250 TRIPLES      22 PREDICATES      102 URIs      89 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00394-016-1253-6 schema:about N1d575fde2b9a41f6a0047478f1c73c1c
2 N3a347997de574228bef9735e73242763
3 N5558cb74e6c642288c650923211d41bc
4 N5676d1298fbb480d85c209767291ac31
5 N906f8dc4ecd546ccab3ecf8a08cc3e6b
6 Nbaac7ff65deb45f7b14e9e3a0c35980a
7 Nc47a9d9f14aa4a1a978630fddecb0ca8
8 Nc5bc414aa0ba4c1a9218851680570f47
9 anzsrc-for:11
10 anzsrc-for:1117
11 schema:author N27d85003f7184bb2b8efd2a7f4c4afcb
12 schema:citation sg:pub.10.1007/s00394-013-0556-0
13 sg:pub.10.1007/s40257-015-0165-1
14 sg:pub.10.1186/1471-2407-11-96
15 sg:pub.10.1186/1471-2407-12-417
16 sg:pub.10.2165/11589300-000000000-00000
17 schema:datePublished 2016-07-07
18 schema:datePublishedReg 2016-07-07
19 schema:description PurposeLaboratory studies suggested that caffeine and other nutrients contained in coffee and tea may protect against non-melanoma skin cancer (NMSC). However, epidemiological studies conducted so far have produced conflicting results.MethodsWe performed a literature review and meta-analysis of observational studies published until February 2016 that investigated the association between coffee and tea intake and NMSC risk. We calculated summary relative risk (SRR) and corresponding 95 % confidence intervals (95 % CI) by using random effects with maximum likelihood estimation. ResultsOverall, 37,627 NMSC cases from 13 papers were available for analysis. Intake of caffeinated coffee was inversely associated with NMSC risk (SRR for those in the highest vs. lowest category of intake: 0.82, 95 % CI 0.75–0.89, I2 = 48 %), as well as intake of caffeine (SRR 0.86, 95 % CI 0.80–0.91, I2 = 48 %). In subgroup analysis, these associations were limited to the basal cell cancer (BCC) histotype. There was no association between intake of decaffeinated coffee (SRR 1.01, 95 % CI 0.85–1.21, I2 = 0) and tea (0.88, 95 % CI 0.72–1.07, I2 = 0 %) and NMSC risk. There was no evidence of publication bias affecting the results. The available evidence was not sufficient to draw conclusions on the association between green tea intake and NMSC risk.ConclusionsCoffee intake appears to exert a moderate protective effect against BCC development, probably through the biological effect of caffeine. However, the observational nature of studies included, subject to bias and confounding, suggests taking with caution these results that should be verified in randomized clinical trials.
20 schema:genre article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N300e545de59e4e3b887b2a54ccb0101c
24 Nbd942c179040482c984e67c54fdacb8d
25 sg:journal.1294989
26 schema:keywords BCC development
27 ConclusionsCoffee intake
28 MethodsWe
29 NMSC cases
30 NMSC risk
31 PurposeLaboratory studies
32 ResultsOverall
33 analysis
34 association
35 available evidence
36 basal cell cancer (BCC) histotype
37 bias
38 biological effects
39 caffeinated coffee
40 caffeine
41 caffeine intake
42 cancer
43 cancer histotypes
44 cases
45 caution
46 cell cancer (BCC) histotype
47 clinical trials
48 coffee
49 conclusion
50 confidence intervals
51 conflicting results
52 decaffeinated coffee
53 development
54 effect
55 epidemiological studies
56 estimation
57 evidence
58 green tea intake
59 histotype
60 intake
61 intake of caffeine
62 intervals
63 likelihood estimation
64 literature
65 literature review
66 maximum likelihood estimation
67 moderate protective effect
68 nature
69 non-melanoma skin cancer
70 nutrients
71 observational nature
72 observational study
73 paper
74 protective effect
75 publication bias
76 random effects
77 randomized clinical trials
78 relative risk
79 results
80 review
81 risk
82 skin cancer
83 study
84 subgroup analysis
85 summary relative risk
86 tea
87 tea intake
88 trials
89 schema:name Coffee, tea and caffeine intake and the risk of non-melanoma skin cancer: a review of the literature and meta-analysis
90 schema:pagination 1-12
91 schema:productId N99309e12033444898fc2c9a8a07ed5ee
92 Ndbe9edb09abe4e689cd8091fc05d858c
93 Nf7576cd994ab4f97bd049c31d9e1462b
94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032216672
95 https://doi.org/10.1007/s00394-016-1253-6
96 schema:sdDatePublished 2022-01-01T18:40
97 schema:sdLicense https://scigraph.springernature.com/explorer/license/
98 schema:sdPublisher Nc825f50809a042e68eef67462514a2c8
99 schema:url https://doi.org/10.1007/s00394-016-1253-6
100 sgo:license sg:explorer/license/
101 sgo:sdDataset articles
102 rdf:type schema:ScholarlyArticle
103 N1d00fdd4877c4048845705efcea51351 rdf:first sg:person.01272316237.15
104 rdf:rest Na007e9359120407599a50c5f3f8544c5
105 N1d575fde2b9a41f6a0047478f1c73c1c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Skin Neoplasms
107 rdf:type schema:DefinedTerm
108 N27d85003f7184bb2b8efd2a7f4c4afcb rdf:first sg:person.01161605365.07
109 rdf:rest Ne53454c2ae8f4f2eb5b4d9cc07807ca8
110 N300e545de59e4e3b887b2a54ccb0101c schema:volumeNumber 56
111 rdf:type schema:PublicationVolume
112 N3a347997de574228bef9735e73242763 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Coffee
114 rdf:type schema:DefinedTerm
115 N5558cb74e6c642288c650923211d41bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Risk Factors
117 rdf:type schema:DefinedTerm
118 N5676d1298fbb480d85c209767291ac31 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Observational Studies as Topic
120 rdf:type schema:DefinedTerm
121 N6b463c4c3afb4d3b87225ee16843d0e9 schema:affiliation grid-institutes:grid.7841.a
122 schema:familyName Cattaruzza
123 schema:givenName Sofia
124 rdf:type schema:Person
125 N6d169c8d2c20414b8e219ddb07540986 rdf:first sg:person.010014537677.09
126 rdf:rest Ne4cd33b421c845f1a71eb9da2529350c
127 N906f8dc4ecd546ccab3ecf8a08cc3e6b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Caffeine
129 rdf:type schema:DefinedTerm
130 N98dbc6ce6b6d4e8e8dbec5f151167da0 rdf:first sg:person.0627335421.91
131 rdf:rest N1d00fdd4877c4048845705efcea51351
132 N99309e12033444898fc2c9a8a07ed5ee schema:name pubmed_id
133 schema:value 27388462
134 rdf:type schema:PropertyValue
135 Na007e9359120407599a50c5f3f8544c5 rdf:first sg:person.01067726436.55
136 rdf:rest N6d169c8d2c20414b8e219ddb07540986
137 Nb4ff77dcef0c4af1a5d20f3c323b6837 rdf:first sg:person.0714233630.13
138 rdf:rest Nc21e5597585c4ecaa709a81ca49395ba
139 Nba394f7aa1a44b54824dac373b77ae36 rdf:first sg:person.0615025337.65
140 rdf:rest Nb4ff77dcef0c4af1a5d20f3c323b6837
141 Nbaac7ff65deb45f7b14e9e3a0c35980a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Carcinoma, Basal Cell
143 rdf:type schema:DefinedTerm
144 Nbd942c179040482c984e67c54fdacb8d schema:issueNumber 1
145 rdf:type schema:PublicationIssue
146 Nc21e5597585c4ecaa709a81ca49395ba rdf:first sg:person.01215545050.27
147 rdf:rest N98dbc6ce6b6d4e8e8dbec5f151167da0
148 Nc47a9d9f14aa4a1a978630fddecb0ca8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Tea
150 rdf:type schema:DefinedTerm
151 Nc5bc414aa0ba4c1a9218851680570f47 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Humans
153 rdf:type schema:DefinedTerm
154 Nc825f50809a042e68eef67462514a2c8 schema:name Springer Nature - SN SciGraph project
155 rdf:type schema:Organization
156 Ndbe9edb09abe4e689cd8091fc05d858c schema:name dimensions_id
157 schema:value pub.1032216672
158 rdf:type schema:PropertyValue
159 Ne4cd33b421c845f1a71eb9da2529350c rdf:first sg:person.0600005230.87
160 rdf:rest rdf:nil
161 Ne53454c2ae8f4f2eb5b4d9cc07807ca8 rdf:first N6b463c4c3afb4d3b87225ee16843d0e9
162 rdf:rest Nba394f7aa1a44b54824dac373b77ae36
163 Nf7576cd994ab4f97bd049c31d9e1462b schema:name doi
164 schema:value 10.1007/s00394-016-1253-6
165 rdf:type schema:PropertyValue
166 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
167 schema:name Medical and Health Sciences
168 rdf:type schema:DefinedTerm
169 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
170 schema:name Public Health and Health Services
171 rdf:type schema:DefinedTerm
172 sg:journal.1294989 schema:issn 1436-6207
173 1436-6215
174 schema:name European Journal of Nutrition
175 schema:publisher Springer Nature
176 rdf:type schema:Periodical
177 sg:person.010014537677.09 schema:affiliation grid-institutes:grid.417623.5
178 schema:familyName Palli
179 schema:givenName Domenico
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010014537677.09
181 rdf:type schema:Person
182 sg:person.01067726436.55 schema:affiliation grid-institutes:grid.419563.c
183 schema:familyName Stanganelli
184 schema:givenName Ignazio
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067726436.55
186 rdf:type schema:Person
187 sg:person.01161605365.07 schema:affiliation grid-institutes:grid.417623.5
188 schema:familyName Caini
189 schema:givenName Saverio
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161605365.07
191 rdf:type schema:Person
192 sg:person.01215545050.27 schema:affiliation grid-institutes:grid.417623.5
193 schema:familyName Masala
194 schema:givenName Giovanna
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215545050.27
196 rdf:type schema:Person
197 sg:person.01272316237.15 schema:affiliation grid-institutes:grid.417623.5
198 schema:familyName Assedi
199 schema:givenName Melania
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272316237.15
201 rdf:type schema:Person
202 sg:person.0600005230.87 schema:affiliation grid-institutes:grid.15667.33
203 schema:familyName Gandini
204 schema:givenName Sara
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600005230.87
206 rdf:type schema:Person
207 sg:person.0615025337.65 schema:affiliation grid-institutes:grid.417623.5
208 schema:familyName Bendinelli
209 schema:givenName Benedetta
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615025337.65
211 rdf:type schema:Person
212 sg:person.0627335421.91 schema:affiliation grid-institutes:grid.15667.33
213 schema:familyName Gnagnarella
214 schema:givenName Patrizia
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627335421.91
216 rdf:type schema:Person
217 sg:person.0714233630.13 schema:affiliation grid-institutes:grid.15667.33
218 schema:familyName Tosti
219 schema:givenName Giulio
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714233630.13
221 rdf:type schema:Person
222 sg:pub.10.1007/s00394-013-0556-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010487476
223 https://doi.org/10.1007/s00394-013-0556-0
224 rdf:type schema:CreativeWork
225 sg:pub.10.1007/s40257-015-0165-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003962281
226 https://doi.org/10.1007/s40257-015-0165-1
227 rdf:type schema:CreativeWork
228 sg:pub.10.1186/1471-2407-11-96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015006244
229 https://doi.org/10.1186/1471-2407-11-96
230 rdf:type schema:CreativeWork
231 sg:pub.10.1186/1471-2407-12-417 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004152667
232 https://doi.org/10.1186/1471-2407-12-417
233 rdf:type schema:CreativeWork
234 sg:pub.10.2165/11589300-000000000-00000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021518694
235 https://doi.org/10.2165/11589300-000000000-00000
236 rdf:type schema:CreativeWork
237 grid-institutes:grid.15667.33 schema:alternateName Division of Dermatoncological Surgery, European Institute of Oncology, Milan, Italy
238 Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy
239 schema:name Division of Dermatoncological Surgery, European Institute of Oncology, Milan, Italy
240 Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy
241 rdf:type schema:Organization
242 grid-institutes:grid.417623.5 schema:alternateName Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Via delle Oblate 2, 50139, Florence, Italy
243 schema:name Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Via delle Oblate 2, 50139, Florence, Italy
244 rdf:type schema:Organization
245 grid-institutes:grid.419563.c schema:alternateName Skin Cancer Unit, Scientific Institute of Romagna for the Study and Treatment of Cancer, IRCSS, IRST, Meldola, Italy
246 schema:name Skin Cancer Unit, Scientific Institute of Romagna for the Study and Treatment of Cancer, IRCSS, IRST, Meldola, Italy
247 rdf:type schema:Organization
248 grid-institutes:grid.7841.a schema:alternateName Department of Public Health and Infectious Diseases, Faculty of Medicine, Policlinico Umberto I, “Sapienza” University, Rome, Italy
249 schema:name Department of Public Health and Infectious Diseases, Faculty of Medicine, Policlinico Umberto I, “Sapienza” University, Rome, Italy
250 rdf:type schema:Organization
 




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


...