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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 04216naa a2200469 4500 | |
| 001 | oai:DiVA.org:uu-323754 | |
| 003 | SwePub | |
| 008 | 170612s2017 | |||||||||||000 ||eng| | |
| 009 | oai:prod.swepub.kib.ki.se:135808081 | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3237542 URI |
| 024 | 7 | a https://doi.org/10.1002/ijc.307252 DOI |
| 024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:1358080812 URI |
| 040 | a (SwePub)uud (SwePub)ki | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Baltzer, Nicholasu Uppsala universitet,Beräkningsbiologi och bioinformatik,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm County, Sweden4 aut0 (Swepub:uu)nicba902 |
| 245 | 1 0 | a Risk stratification in cervical cancer screening by complete screening history :b Applying bioinformatics to a general screening population |
| 264 | c 2017-04-24 | |
| 264 | 1 | b Wiley,c 2017 |
| 338 | a print2 rdacarrier | |
| 520 | a Women screened for cervical cancer in Sweden are currently treated under a one-size-fits-all programme, which has been successful in reducing the incidence of cervical cancer but does not use all of the participants' available medical information. This study aimed to use women's complete cervical screening histories to identify diagnostic patterns that may indicate an increased risk of developing cervical cancer. A nationwide case-control study was performed where cervical cancer screening data from 125,476 women with a maximum follow-up of 10 years were evaluated for patterns of SNOMED diagnoses. The cancer development risk was estimated for a number of different screening history patterns and expressed as Odds Ratios (OR), with a history of 4 benign cervical tests as reference, using logistic regression. The overall performance of the model was moderate (64% accuracy, 71% area under curve) with 61-62% of the study population showing no specific patterns associated with risk. However, predictions for high-risk groups as defined by screening history patterns were highly discriminatory with ORs ranging from 8 to 36. The model for computing risk performed consistently across different screening history lengths, and several patterns predicted cancer outcomes. The results show the presence of risk-increasing and risk-decreasing factors in the screening history. Thus it is feasible to identify subgroups based on their complete screening histories. Several high-risk subgroups identified might benefit from an increased screening density. Some low-risk subgroups identified could likely have a moderately reduced screening density without additional risk. | |
| 650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe |
| 650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Bioinformatik0 (SwePub)102032 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Bioinformatics0 (SwePub)102032 hsv//eng |
| 653 | a bioinformatics | |
| 653 | a cervical cancer | |
| 653 | a screening | |
| 653 | a personalized medicine | |
| 653 | a machine learning | |
| 700 | 1 | a Sundström, Karinu Karolinska Institutet4 aut |
| 700 | 1 | a Nygård, Jan F.u Canc Registry Norway, Dept Registry Informat, Oslo, Oslo County, Norway.4 aut |
| 700 | 1 | a Dillner, Joakimu Karolinska Institutet4 aut |
| 700 | 1 | a Komorowski, Janu Uppsala universitet,Beräkningsbiologi och bioinformatik,Polish Acad Sci, Inst Comp Sci, Warsaw, Warsaw County, Poland.4 aut0 (Swepub:uu)jakom133 |
| 710 | 2 | a Uppsala universitetb Beräkningsbiologi och bioinformatik4 org |
| 773 | 0 | t International Journal of Cancerd : Wileyg 141:1, s. 200-209q 141:1<200-209x 0020-7136x 1097-0215 |
| 856 | 4 | u https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ijc.30725 |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-323754 |
| 856 | 4 8 | u https://doi.org/10.1002/ijc.30725 |
| 856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:135808081 |
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