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Comparison of self-...
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Ho, Peh JooGenome Institute of Singapore, 60 Biopolis Street, Genome, Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
(author)
Comparison of self-reported and register-based hospital medical data on comorbidities in women
- Article/chapterEnglish2019
Publisher, publication year, extent ...
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2019-03-05
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Nature Publishing Group,2019
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LIBRIS-ID:oai:DiVA.org:oru-73200
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https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-73200URI
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https://doi.org/10.1038/s41598-019-40072-0DOI
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http://kipublications.ki.se/Default.aspx?queryparsed=id:140444116URI
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
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Funding Agencies:Marit and Hans Rausing's Initiative Against Breast Cancer Kamprad Family Foundation Singapore National Research Foundation Fellowship NRF-NRFF2017-02 National Medical Research Council Clinician Scientist Award NMRC/CSA-SI/0015/2017 National University Cancer Institute Singapore Centre Grant Programme CGAug16M005 Breast Cancer Prevention Programme under SSHSPH-Res-Prog
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Breast cancer patients commonly present with comorbidities which are known to influence treatment decisions and survival. We aim to examine agreement between self-reported and register-based medical records (National Patient Register [NPR]). Ascertainment of nine conditions, using individually-linked data from 64,961 women enrolled in the Swedish KARolinska MAmmography Project for Risk Prediction of Breast Cancer (KARMA) study. Agreement was assessed using observed proportion of agreement (overall agreement), expected proportion of agreement, and Cohen's Kappa statistic. Two-stage logistic regression models taking into account chance agreement were used to identify potential predictors of overall agreement. High levels of overall agreement (i.e. ≥86.6%) were observed for all conditions. Substantial agreement (Cohen's Kappa) was observed for myocardial infarction (0.74), diabetes (0.71) and stroke (0.64) between self-reported and NPR data. Moderate agreement was observed for preeclampsia (0.51) and hypertension (0.46). Fair agreement was observed for heart failure (0.40) and polycystic ovaries or ovarian cysts (0.27). For hyperlipidemia (0.14) and angina (0.10), slight agreement was observed. In most subgroups we observed negative specific agreement of >90%. There is no clear reference data source for ascertainment of conditions. Negative specific agreement between NPR and self-reported data is consistently high across all conditions.
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Tan, Chuen SengSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
(author)
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Shawon, Shajedur RahmanCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old road campus, Oxford, UK
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Eriksson, MikaelKarolinska Institutet
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Lim, Li YanDepartment of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
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Miao, HuiGenome Institute of Singapore, 60 Biopolis Street, Genome, Singapore, Singapore
(author)
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Png, EileenGenome Institute of Singapore, 60 Biopolis Street, Genome, Singapore, Singapore
(author)
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Chia, Kee SengSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
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Hartman, MikaelSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
(author)
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Ludvigsson, Jonas F.,1969-Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden; Department of Pediatrics, Örebro University Hospital, Örebro, Sweden(Swepub:oru)jsln
(author)
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Czene, KamilaKarolinska Institutet
(author)
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Hall, PerKarolinska Institutet
(author)
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Li, JingmeiGenome Institute of Singapore, 60 Biopolis Street, Genome, Singapore, Singapore; Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden; Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
(author)
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Genome Institute of Singapore, 60 Biopolis Street, Genome, Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, SingaporeSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
(creator_code:org_t)
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In:Scientific Reports: Nature Publishing Group9:12045-2322
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Ho, Peh Joo
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