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FältnamnIndikatorerMetadata
00005917naa a2200505 4500
001oai:DiVA.org:oru-73200
003SwePub
008190318s2019 | |||||||||||000 ||eng|
009oai:prod.swepub.kib.ki.se:140444116
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-732002 URI
0247 a https://doi.org/10.1038/s41598-019-40072-02 DOI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1404441162 URI
040 a (SwePub)orud (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Ho, Peh Joou 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, Singapore4 aut
2451 0a Comparison of self-reported and register-based hospital medical data on comorbidities in women
264 c 2019-03-05
264 1b Nature Publishing Group,c 2019
338 a print2 rdacarrier
500 a 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 
520 a 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.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng
7001 a Tan, Chuen Sengu Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore4 aut
7001 a Shawon, Shajedur Rahmanu Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Old road campus, Oxford, UK4 aut
7001 a Eriksson, Mikaelu Karolinska Institutet4 aut
7001 a Lim, Li Yanu Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore4 aut
7001 a Miao, Huiu Genome Institute of Singapore, 60 Biopolis Street, Genome, Singapore, Singapore4 aut
7001 a Png, Eileenu Genome Institute of Singapore, 60 Biopolis Street, Genome, Singapore, Singapore4 aut
7001 a Chia, Kee Sengu Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore4 aut
7001 a Hartman, Mikaelu Saw 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, Singapore4 aut
7001 a Ludvigsson, Jonas F.,d 1969-u 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, Sweden4 aut0 (Swepub:oru)jsln
7001 a Czene, Kamilau Karolinska Institutet4 aut
7001 a Hall, Peru Karolinska Institutet4 aut
7001 a Li, Jingmeiu Genome 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, Singapore4 aut
7102 a 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, Singaporeb Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore4 org
7730 t Scientific Reportsd : Nature Publishing Groupg 9:1q 9:1x 2045-2322
8564 u https://doi.org/10.1038/s41598-019-40072-0y Fulltext
8564 u https://www.nature.com/articles/s41598-019-40072-0.pdf
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-73200
8564 8u https://doi.org/10.1038/s41598-019-40072-0
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:140444116

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