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{"title"=>"Association between Melanocytic Nevi and Risk of Breast Diseases: The French E3N Prospective Cohort", "type"=>"journal", "authors"=>[{"first_name"=>"Marina", "last_name"=>"Kvaskoff", "scopus_author_id"=>"24066774200"}, {"first_name"=>"Anne", "last_name"=>"Bijon", "scopus_author_id"=>"37074184400"}, {"first_name"=>"Sylvie", "last_name"=>"Mesrine", "scopus_author_id"=>"22634972100"}, {"first_name"=>"Alice", "last_name"=>"Vilier", "scopus_author_id"=>"55303830000"}, {"first_name"=>"Laura", "last_name"=>"Baglietto", "scopus_author_id"=>"57190511196"}, {"first_name"=>"Agnès", "last_name"=>"Fournier", "scopus_author_id"=>"7401993773"}, {"first_name"=>"Françoise", "last_name"=>"Clavel-Chapelon", "scopus_author_id"=>"55882148000"}, {"first_name"=>"Laure", "last_name"=>"Dossus", "scopus_author_id"=>"8873084400"}, {"first_name"=>"Marie Christine", "last_name"=>"Boutron-Ruault", "scopus_author_id"=>"7003878660"}], "year"=>2014, "source"=>"PLoS Medicine", "identifiers"=>{"pui"=>"373397988", "issn"=>"15491676", "doi"=>"10.1371/journal.pmed.1001660", "scopus"=>"2-s2.0-84902454657", "pmid"=>"24915306", "sgr"=>"84902454657"}, "id"=>"b4b2b3d9-a970-38fc-ade7-d1d0adc9ee80", "abstract"=>"BACKGROUND: While melanocytic nevi have been associated with genetic factors and childhood sun exposure, several observations also suggest a potential hormonal influence on nevi. To test the hypothesis that nevi are associated with breast tumor risk, we explored the relationships between number of nevi and benign and malignant breast disease risk.\\n\\nMETHODS AND FINDINGS: We prospectively analyzed data from E3N, a cohort of French women aged 40-65 y at inclusion in 1990. Number of nevi was collected at inclusion. Hazard ratios (HRs) for breast cancer and 95% confidence intervals (CIs) were calculated using Cox proportional hazards regression models. Associations of number of nevi with personal history of benign breast disease (BBD) and family history of breast cancer were estimated using logistic regression. Over the period 15 June 1990-15 June 2008, 5,956 incident breast cancer cases (including 5,245 invasive tumors) were ascertained among 89,902 women. In models adjusted for age, education, and known breast cancer risk factors, women with \"very many\" nevi had a significantly higher breast cancer risk (HR = 1.13, 95% CI = 1.01-1.27 versus \"none\"; ptrend = 0.04), although significance was lost after adjustment for personal history of BBD or family history of breast cancer. The 10-y absolute risk of invasive breast cancer increased from 3,749 per 100,000 women without nevi to 4,124 (95% CI = 3,674-4,649) per 100,000 women with \"very many\" nevi. The association was restricted to premenopausal women (HR = 1.40, ptrend = 0.01), even after full adjustment (HR = 1.34, ptrend = 0.03; phomogeneity = 0.04), but did not differ according to breast cancer type or hormone receptor status. In addition, we observed significantly positive dose-response relationships between number of nevi and history of biopsy-confirmed BBD (n = 5,169; ptrend<0.0001) and family history of breast cancer in first-degree relatives (n = 7,472; ptrend = 0.0003). The main limitations of our study include self-report of number of nevi using a qualitative scale, and self-reported history of biopsied BBD.\\n\\nCONCLUSIONS: Our findings suggest associations between number of nevi and the risk of premenopausal breast cancer, BBD, and family history of breast cancer. More research is warranted to elucidate these relationships and to understand their underlying mechanisms.", "link"=>"http://www.mendeley.com/research/association-between-melanocytic-nevi-risk-breast-diseases-french-e3n-prospective-cohort", "reader_count"=>18, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Librarian"=>1, "Researcher"=>2, "Student > Ph. D. Student"=>1, "Student > Postgraduate"=>1, "Other"=>5, "Student > Master"=>1, "Student > Bachelor"=>4}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Librarian"=>1, "Researcher"=>2, "Student > Ph. D. Student"=>1, "Student > Postgraduate"=>1, "Other"=>5, "Student > Master"=>1, "Student > Bachelor"=>4}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Mathematics"=>1, "Agricultural and Biological Sciences"=>4, "Medicine and Dentistry"=>8, "Business, Management and Accounting"=>1, "Social Sciences"=>1, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>8}, "Social Sciences"=>{"Social Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>4}, "Computer Science"=>{"Computer Science"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>2}}, "reader_count_by_country"=>{"United Kingdom"=>1}, "group_count"=>1}

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• http://doi.org/10.1002/ijc.31038
• http://doi.org/10.1371/journal.pmed.1001661
• http://doi.org/10.1111/dme.13297
• http://doi.org/10.1038/ncomms6303
• http://doi.org/10.1007/s10549-015-3321-7
• http://doi.org/10.1080/17425255.2017.1247155

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• {"referral"=>"http://www.breastcancer.org/research-news/moles-may-be-linked-to-breast-cancer", "language"=>"English", "title"=>"Moles May Be Linked to Breast Cancer Risk", "type"=>"Blog", "publication"=>"", "published_on"=>"2014-08-28T00:00:00Z", "link_state"=>"APPROVED"}
• {"referral"=>"http://www.wusstest-du-schon.net/?p=7142", "language"=>"German", "title"=>"5 Warnsignale für Brustkrebs, die viele Frauen ignorieren!", "type"=>"Discussion board", "publication"=>"", "published_on"=>"", "link_state"=>""}

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• {"referral"=>"http://www.breastcancer.org/research-news/moles-may-be-linked-to-breast-cancer", "language"=>"English", "title"=>"Moles May Be Linked to Breast Cancer Risk", "type"=>"Blog", "publication"=>"Breastcancer.org", "published_on"=>"2014-08-28T00:00:00.000Z", "link_state"=>"APPROVED"}

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• {"id"=>"476466107126386689", "text"=>"#plos Association between Melanocytic Nevi and Risk of Breast Diseases: The French E3N Prospective Cohort http://t.co/co49FbxD7w", "created_at"=>"2014-06-10T20:49:06Z", "user"=>"bookapharmacist", "user_name"=>"Kazeem Olalekan", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1859820850/3a_normal.png"}
• {"id"=>"476481902258319360", "text"=>"Association between Melanocytic Nevi and Risk of Breast Diseases http://t.co/pwYEuIDk9G", "created_at"=>"2014-06-10T21:51:52Z", "user"=>"PLOSMedicine", "user_name"=>"PLOS Medicine", "user_profile_image"=>"http://pbs.twimg.com/profile_images/2436335697/k93oob5au2gllc775hk5_normal.jpeg"}
• {"id"=>"476482140264083458", "text"=>"RT @PLOSMedicine: Association between Melanocytic Nevi and Risk of Breast Diseases http://t.co/pwYEuIDk9G", "created_at"=>"2014-06-10T21:52:49Z", "user"=>"AbbeyDiaz_says", "user_name"=>"abbey diaz", "user_profile_image"=>"http://pbs.twimg.com/profile_images/3313361213/c88e04f3f9147cd057b1e2dbbde040ba_normal.jpeg"}
• {"id"=>"476737858079035392", "text"=>"RT @PLOSMedicine: Association between Melanocytic Nevi and Risk of Breast Diseases http://t.co/pwYEuIDk9G", "created_at"=>"2014-06-11T14:48:57Z", "user"=>"renelaennec", "user_name"=>"René Laennec", "user_profile_image"=>"http://pbs.twimg.com/profile_images/589062786/laennec_normal.jpg"}
• {"id"=>"476856261728669697", "text"=>"#PLOSMedicine: Association between Melanocytic Nevi and Risk of Breast Diseases: The French E3N Prospective Cohort http://t.co/McZf9UwB6d", "created_at"=>"2014-06-11T22:39:27Z", "user"=>"pluto665", "user_name"=>"Daryl McGrath", "user_profile_image"=>"http://pbs.twimg.com/profile_images/2778769629/b9d9265f0e4c3393b4a128d00619f095_normal.jpeg"}
• {"id"=>"478446583579934720", "text"=>"Association between Melanocytic Nevi and Risk of Breast Diseases http://t.co/okuyJyvJ0Q via @PLOSMedicine #breastcancer", "created_at"=>"2014-06-16T07:58:49Z", "user"=>"_SOLTI", "user_name"=>"SOLTI", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000644705537/528c7febfea96ea08919ec8e1d5edbf6_normal.png"}
• {"id"=>"479212077081718785", "text"=>"RT @_SOLTI: Association between Melanocytic Nevi and Risk of Breast Diseases http://t.co/okuyJyvJ0Q via @PLOSMedicine #breastcancer", "created_at"=>"2014-06-18T10:40:37Z", "user"=>"princeoncologo", "user_name"=>"jose prince duno", "user_profile_image"=>"http://pbs.twimg.com/profile_images/3558011934/039c2b5f804b71bc773c71fe612a4011_normal.jpeg"}
• {"id"=>"480566336058171393", "text"=>"Here are the links to the actual studies:\n\nSTUDY 1) http://t.co/z3vXCEGna8\n\nSTUDY 2) http://t.co/TTtaO48xgd", "created_at"=>"2014-06-22T04:21:57Z", "user"=>"MaSkintologist", "user_name"=>"ΜαΣϰιντολογιςτ", "user_profile_image"=>"http://pbs.twimg.com/profile_images/473678862262337536/0EPimFff_normal.jpeg"}
• {"id"=>"480566638303920128", "text"=>"Here are the links to the actual studies: \n\nSTUDY 1) http://t.co/z3vXCEGna8 \n\nSTUDY 2) http://t.co/TTtaO48xgd\n\n#skin #breastcancer #health", "created_at"=>"2014-06-22T04:23:09Z", "user"=>"MaSkintologist", "user_name"=>"ΜαΣϰιντολογιςτ", "user_profile_image"=>"http://pbs.twimg.com/profile_images/473678862262337536/0EPimFff_normal.jpeg"}
• {"id"=>"480566759800725504", "text"=>"RT @MaSkintologist: Here are the links to the actual studies: \n\nSTUDY 1) http://t.co/z3vXCEGna8 \n\nSTUDY 2) http://t.co/TTtaO48xgd\n\n#skin #b…", "created_at"=>"2014-06-22T04:23:38Z", "user"=>"SkinCareShare", "user_name"=>"Skin Care Share", "user_profile_image"=>"http://pbs.twimg.com/profile_images/474311405894914050/VbkGjV_I_normal.jpeg"}
• {"id"=>"480566898409472000", "text"=>"Here are the links to the actual studies: \n\nSTUDY 1) http://t.co/z3vXCEGna8 \n\nSTUDY 2) http://t.co/TTtaO48xgd \n\n #skin #breastcancer #health", "created_at"=>"2014-06-22T04:24:11Z", "user"=>"MaSkintologist", "user_name"=>"ΜαΣϰιντολογιςτ", "user_profile_image"=>"http://pbs.twimg.com/profile_images/473678862262337536/0EPimFff_normal.jpeg"}
• {"id"=>"480567987569573888", "text"=>"RT @MaSkintologist: Here are the links to the actual studies: \n\nSTUDY 1) http://t.co/z3vXCEGna8 \n\nSTUDY 2) http://t.co/TTtaO48xgd \n\n #skin …", "created_at"=>"2014-06-22T04:28:31Z", "user"=>"PenrynPam", "user_name"=>"Penryn Pam", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000059758588/318006b9c592aa8c55f6880a711ce896_normal.jpeg"}
• {"id"=>"480569012699406337", "text"=>"RT @MaSkintologist: Here are the links to the actual studies: \n\nSTUDY 1) http://t.co/z3vXCEGna8 \n\nSTUDY 2) http://t.co/TTtaO48xgd \n\n #skin …", "created_at"=>"2014-06-22T04:32:35Z", "user"=>"janeeceent", "user_name"=>"BayAreaQueen Janeece", "user_profile_image"=>"http://pbs.twimg.com/profile_images/468570248887554051/N_0OsDxT_normal.jpeg"}
• {"id"=>"480610885418115072", "text"=>"RT @MaSkintologist: Here are the links to the actual studies: \n\nSTUDY 1) http://t.co/z3vXCEGna8 \n\nSTUDY 2) http://t.co/TTtaO48xgd \n\n #skin …", "created_at"=>"2014-06-22T07:18:59Z", "user"=>"Breast_IT", "user_name"=>"BreastIT", "user_profile_image"=>"http://pbs.twimg.com/profile_images/466518568788824065/eAoAwlR8_normal.jpeg"}
• {"id"=>"480956642629267456", "text"=>"Si vous constatez beaucoup de grains de beauté,pensez au cancer du sein.Une cohorte française. http://t.co/ndCQh49tJG @Inserm @PLOSMedicine", "created_at"=>"2014-06-23T06:12:54Z", "user"=>"Larhumato", "user_name"=>"francis berenbaum", "user_profile_image"=>"http://pbs.twimg.com/profile_images/2211819098/6B2A5CEF-9349-4321-B770-3882C59D6B1D_normal"}
• {"id"=>"481033704178196480", "text"=>"RT @Larhumato: Si vous constatez beaucoup de grains de beauté,pensez au cancer du sein.Une cohorte française. http://t.co/ndCQh49tJG @Inser…", "created_at"=>"2014-06-23T11:19:06Z", "user"=>"GibertEric", "user_name"=>"gibert eric", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1663097812/P1130543r_duite_normal.jpg"}
• {"id"=>"481152104862871552", "text"=>"RT @Larhumato: Si vous constatez beaucoup de grains de beauté,pensez au cancer du sein.Une cohorte française. http://t.co/ndCQh49tJG @Inser…", "created_at"=>"2014-06-23T19:09:35Z", "user"=>"DelScope", "user_name"=>"Delphine Eriau", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000509752271/46473e20fb03d2ed0e94f97a0374f493_normal.jpeg"}
• {"id"=>"481153660781879296", "text"=>"RT @Larhumato: Si vous constatez beaucoup de grains de beauté,pensez au cancer du sein.Une cohorte française. http://t.co/ndCQh49tJG @Inser…", "created_at"=>"2014-06-23T19:15:46Z", "user"=>"GregoryGuilbert", "user_name"=>"Grégory Guilbert", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000832536522/fa3674daa585027ac988b59c8dbf5564_normal.jpeg"}
• {"id"=>"488018566630105088", "text"=>"link between number of skin #moles &amp; #breast_cancer risk http://t.co/xhh36JUY04", "created_at"=>"2014-07-12T17:54:27Z", "user"=>"hmsilverman", "user_name"=>"harold silverman", "user_profile_image"=>"http://pbs.twimg.com/profile_images/2076731259/New_Pill_15th_ed_2nd_set_of_comps2_normal.jpg"}
• {"id"=>"497131549306155009", "text"=>"Association between Melanocytic Nevi and Risk of Breast Diseases http://t.co/Fz5EEtW3Uy Muttermale: Brustkrebsrisiko?\nhttp://t.co/IOCQb4gaxI", "created_at"=>"2014-08-06T21:26:12Z", "user"=>"erlesen", "user_name"=>"Reiner Grißhammer ", "user_profile_image"=>"http://pbs.twimg.com/profile_images/125495921/Reiner19.Nov.Z_normal.jpg"}

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/1528334"], "description"=>"a<p>From chi-square tests.</p>b<p>Tests were performed excluding participants in the unknown/missing category.</p>c<p>Among postmenopausal women.</p><p>MET, metabolic equivalent of task.</p>", "links"=>[], "tags"=>["dermatology", "epidemiology", "oncology", "Public and occupational health", "women's health", "Obstetrics and gynecology"], "article_id"=>1051904, "categories"=>["Biological Sciences"], "users"=>["Marina Kvaskoff", "Anne Bijon", "Sylvie Mesrine", "Alice Vilier", "Laura Baglietto", "Agnès Fournier", "Françoise Clavel-Chapelon", "Laure Dossus", "Marie-Christine Boutron-Ruault"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001660.t001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Baseline_characteristics_of_the_study_population_/1051904", "title"=>"Baseline characteristics of the study population.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-10 02:43:24"}
• {"files"=>["https://ndownloader.figshare.com/files/1528335"], "description"=>"a<p>Adjusted for age (timescale), education, menopausal status, age at menopause (in postmenopausal women), use of MHT (in postmenopausal women), and use of premenopausal progestogens, and stratified according to year of birth in 5-y categories.</p>b<p>Model 2 additionally adjusted for personal history of BBD.</p>c<p>Model 3 additionally adjusted for personal history of BBD and family history of breast cancer.</p>d<p>Model 4 additionally adjusted for BMI, height, physical activity, age at menarche, age at first full-term pregnancy, parity, breastfeeding, use of OCs, history of mammographic exam, UV dose in county of birth, and UV dose in county of residence at inclusion.</p>", "links"=>[], "tags"=>["dermatology", "epidemiology", "oncology", "Public and occupational health", "women's health", "Obstetrics and gynecology", "ratios", "intervals", "cancer", "e3n", "cohort"], "article_id"=>1051905, "categories"=>["Biological Sciences"], "users"=>["Marina Kvaskoff", "Anne Bijon", "Sylvie Mesrine", "Alice Vilier", "Laura Baglietto", "Agnès Fournier", "Françoise Clavel-Chapelon", "Laure Dossus", "Marie-Christine Boutron-Ruault"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001660.t002", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hazard_ratios_and_95_confidence_intervals_for_risk_of_breast_cancer_in_relation_to_number_of_nevi_E3N_cohort_n_8202_8202_89_802_/1051905", "title"=>"Hazard ratios and 95% confidence intervals for risk of breast cancer in relation to number of nevi, E3N cohort (<i>n = </i>89,802).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-10 02:43:24"}
• {"files"=>["https://ndownloader.figshare.com/files/1528336"], "description"=>"a<p>Adjusted for age (timescale), education, age at menopause (in postmenopausal women), use of MHT (in postmenopausal women), and use of premenopausal progestogens, and stratified according to year of birth in 5-y categories (Model 2).</p>b<p>Additionally adjusted for personal history of BBD and family history of breast cancer (model used for homogeneity test) (Model 4).</p>", "links"=>[], "tags"=>["dermatology", "epidemiology", "oncology", "Public and occupational health", "women's health", "Obstetrics and gynecology", "ratios", "intervals", "cancer", "stratified", "menopausal", "e3n", "cohort"], "article_id"=>1051906, "categories"=>["Biological Sciences"], "users"=>["Marina Kvaskoff", "Anne Bijon", "Sylvie Mesrine", "Alice Vilier", "Laura Baglietto", "Agnès Fournier", "Françoise Clavel-Chapelon", "Laure Dossus", "Marie-Christine Boutron-Ruault"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001660.t003", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hazard_ratios_and_95_confidence_intervals_for_risk_of_breast_cancer_in_relation_to_number_of_nevi_stratified_by_menopausal_status_E3N_cohort_n_8202_8202_89_802_/1051906", "title"=>"Hazard ratios and 95% confidence intervals for risk of breast cancer in relation to number of nevi, stratified by menopausal status, E3N cohort (<i>n = </i>89,802).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-10 02:43:24"}
• {"files"=>["https://ndownloader.figshare.com/files/1528340", "https://ndownloader.figshare.com/files/1528342", "https://ndownloader.figshare.com/files/1528343", "https://ndownloader.figshare.com/files/1528345", "https://ndownloader.figshare.com/files/1528347"], "description"=>"<div><p>Background</p><p>While melanocytic nevi have been associated with genetic factors and childhood sun exposure, several observations also suggest a potential hormonal influence on nevi. To test the hypothesis that nevi are associated with breast tumor risk, we explored the relationships between number of nevi and benign and malignant breast disease risk.</p><p>Methods and Findings</p><p>We prospectively analyzed data from E3N, a cohort of French women aged 40–65 y at inclusion in 1990. Number of nevi was collected at inclusion. Hazard ratios (HRs) for breast cancer and 95% confidence intervals (CIs) were calculated using Cox proportional hazards regression models. Associations of number of nevi with personal history of benign breast disease (BBD) and family history of breast cancer were estimated using logistic regression. Over the period 15 June 1990–15 June 2008, 5,956 incident breast cancer cases (including 5,245 invasive tumors) were ascertained among 89,902 women. In models adjusted for age, education, and known breast cancer risk factors, women with “very many” nevi had a significantly higher breast cancer risk (HR = 1.13, 95% CI = 1.01–1.27 versus “none”; <i>p</i>_trend = 0.04), although significance was lost after adjustment for personal history of BBD or family history of breast cancer. The 10-y absolute risk of invasive breast cancer increased from 3,749 per 100,000 women without nevi to 4,124 (95% CI = 3,674–4,649) per 100,000 women with “very many” nevi. The association was restricted to premenopausal women (HR = 1.40, <i>p</i>_trend = 0.01), even after full adjustment (HR = 1.34, <i>p</i>_trend = 0.03; <i>p</i>_homogeneity = 0.04), but did not differ according to breast cancer type or hormone receptor status. In addition, we observed significantly positive dose–response relationships between number of nevi and history of biopsy-confirmed BBD (<i>n = </i>5,169; <i>p</i>_trend&lt;0.0001) and family history of breast cancer in first-degree relatives (<i>n = </i>7,472; <i>p</i>_trend = 0.0003). The main limitations of our study include self-report of number of nevi using a qualitative scale, and self-reported history of biopsied BBD.</p><p>Conclusions</p><p>Our findings suggest associations between number of nevi and the risk of premenopausal breast cancer, BBD, and family history of breast cancer. More research is warranted to elucidate these relationships and to understand their underlying mechanisms.</p><p><i>Please see later in the article for the Editors' Summary</i></p></div>", "links"=>[], "tags"=>["dermatology", "epidemiology", "oncology", "Public and occupational health", "women's health", "Obstetrics and gynecology", "melanocytic", "nevi", "french", "e3n", "prospective"], "article_id"=>1051908, "categories"=>["Biological Sciences"], "users"=>["Marina Kvaskoff", "Anne Bijon", "Sylvie Mesrine", "Alice Vilier", "Laura Baglietto", "Agnès Fournier", "Françoise Clavel-Chapelon", "Laure Dossus", "Marie-Christine Boutron-Ruault"], "doi"=>[nil, nil, nil, nil, nil], "stats"=>{"downloads"=>10, "page_views"=>30, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Association_between_Melanocytic_Nevi_and_Risk_of_Breast_Diseases_The_French_E3N_Prospective_Cohort/1051908", "title"=>"Association between Melanocytic Nevi and Risk of Breast Diseases: The French E3N Prospective Cohort", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-04-12 17:44:42"}
• {"files"=>["https://ndownloader.figshare.com/files/1528330"], "description"=>"a<p>Adjusted for age (timescale), education, menopausal status, age at menopause (in postmenopausal women), use of MHT (in postmenopausal women), and use of premenopausal progestogens, and stratified according to year of birth in 5-y categories (Model 2).</p>b<p>Additionally adjusted for personal history of BBD and family history of breast cancer (model used for homogeneity test) (Model 4).</p>", "links"=>[], "tags"=>["dermatology", "epidemiology", "oncology", "Public and occupational health", "women's health", "Obstetrics and gynecology", "ratios", "intervals", "cancer", "stratified", "histological", "e3n", "cohort"], "article_id"=>1051900, "categories"=>["Biological Sciences"], "users"=>["Marina Kvaskoff", "Anne Bijon", "Sylvie Mesrine", "Alice Vilier", "Laura Baglietto", "Agnès Fournier", "Françoise Clavel-Chapelon", "Laure Dossus", "Marie-Christine Boutron-Ruault"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001660.t004", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hazard_ratios_and_95_confidence_intervals_for_risk_of_breast_cancer_in_relation_to_number_of_nevi_stratified_by_histological_type_of_breast_cancer_E3N_cohort_n_89_429_/1051900", "title"=>"Hazard ratios and 95% confidence intervals for risk of breast cancer in relation to number of nevi, stratified by histological type of breast cancer, E3N cohort (<i>n</i> = 89,429).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-10 02:43:24"}
• {"files"=>["https://ndownloader.figshare.com/files/1528331"], "description"=>"<p>Women with missing information on hormone receptor status were excluded from this analysis (<i>n = </i>1,415).</p>b<p>Adjusted for age (timescale), education, menopausal status, age at menopause (in postmenopausal women), use of MHT (in postmenopausal women), and use of premenopausal progestogens, and stratified according to year of birth in 5-y categories (Model 2).</p>c<p>Additionally adjusted for personal history of BBD and family history of breast cancer (model used for homogeneity test) (Model 4).</p>", "links"=>[], "tags"=>["dermatology", "epidemiology", "oncology", "Public and occupational health", "women's health", "Obstetrics and gynecology", "ratios", "intervals", "cancer", "stratified", "hormonal", "receptor", "e3n", "cohort"], "article_id"=>1051901, "categories"=>["Biological Sciences"], "users"=>["Marina Kvaskoff", "Anne Bijon", "Sylvie Mesrine", "Alice Vilier", "Laura Baglietto", "Agnès Fournier", "Françoise Clavel-Chapelon", "Laure Dossus", "Marie-Christine Boutron-Ruault"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001660.t005", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hazard_ratios_and_95_confidence_intervals_for_risk_of_breast_cancer_in_relation_to_number_of_nevi_stratified_by_hormonal_receptor_status_E3N_cohort_n_8202_8202_88_387_/1051901", "title"=>"Hazard ratios and 95% confidence intervals for risk of breast cancer in relation to number of nevi, stratified by hormonal receptor status, E3N cohort (<i>n = </i>88,387).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-10 02:43:24"}
• {"files"=>["https://ndownloader.figshare.com/files/1528332"], "description"=>"a<p>Adjusted for age at cohort inclusion, age at last returned questionnaire, education, menopausal status, age at menopause (in postmenopausal women), use of MHT (in postmenopausal women), use of premenopausal progestogens, and family history of breast cancer.</p>", "links"=>[], "tags"=>["dermatology", "epidemiology", "oncology", "Public and occupational health", "women's health", "Obstetrics and gynecology", "ratios", "intervals", "nevi", "benign", "e3n"], "article_id"=>1051902, "categories"=>["Biological Sciences"], "users"=>["Marina Kvaskoff", "Anne Bijon", "Sylvie Mesrine", "Alice Vilier", "Laura Baglietto", "Agnès Fournier", "Françoise Clavel-Chapelon", "Laure Dossus", "Marie-Christine Boutron-Ruault"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001660.t006", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Odds_ratios_and_95_confidence_intervals_for_number_of_nevi_in_relation_to_history_of_benign_breast_disease_E3N_cohort_/1051902", "title"=>"Odds ratios and 95% confidence intervals for number of nevi in relation to history of benign breast disease, E3N cohort.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-10 02:43:24"}
• {"files"=>["https://ndownloader.figshare.com/files/1528333"], "description"=>"a<p>Adjusted for education and age at inclusion.</p>", "links"=>[], "tags"=>["dermatology", "epidemiology", "oncology", "Public and occupational health", "women's health", "Obstetrics and gynecology", "ratios", "intervals", "nevi", "e3n"], "article_id"=>1051903, "categories"=>["Biological Sciences"], "users"=>["Marina Kvaskoff", "Anne Bijon", "Sylvie Mesrine", "Alice Vilier", "Laura Baglietto", "Agnès Fournier", "Françoise Clavel-Chapelon", "Laure Dossus", "Marie-Christine Boutron-Ruault"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001660.t007", "stats"=>{"downloads"=>3, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Odds_ratios_and_95_confidence_intervals_for_number_of_nevi_in_relation_to_family_history_of_breast_cancer_E3N_cohort_/1051903", "title"=>"Odds ratios and 95% confidence intervals for number of nevi in relation to family history of breast cancer, E3N cohort.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-10 02:43:24"}

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Relative Metric

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F1000Prime