The Experts below are selected from a list of 74484 Experts worldwide ranked by ideXlab platform
Gudrun Lindmark - One of the best experts on this subject based on the ideXlab platform.
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validity of the swedish rectal Cancer Registry for patients treated with major abdominal surgery between 1995 and 1997
Acta Oncologica, 2013Co-Authors: Fredrik Jorgren, Robert Johansson, Lena Damber, Gudrun LindmarkAbstract:Background. Founded in 1995, the Swedish Rectal Cancer Registry (SRCR) is frequently used for rectal Cancer research. However, the validity of the Registry has not been extensively studied. This st ...
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the swedish rectal Cancer Registry
British Journal of Surgery, 2007Co-Authors: Lars Pahlman, Lena Damber, Gudrun Lindmark, M Bohe, B Cedermark, Michael Dahlberg, Rune Sjodahl, Bjorn Ojerskog, Robert JohanssonAbstract:Background: An audit of all patients with rectal Cancer in Sweden was launched in 1995. This is the first report from the Swedish Rectal Cancer Registry (SRCR). Methods: Between 1995 and 2003, 13 434 patients treated for adenocarcinoma of the rectum were registered with the SRCR, there were approximately 1500 new patients annually. Results: Approximately half had an anterior resection, a quarter an abdominoperineal resection and 15 per cent a Hartmann's procedure. The median 30-day postoperative mortality rate was 2.4 per cent and the overall postoperative morbidity rate was 35.0 per cent. The 5-year Cancer-specific survival rate was 62.3 percent. The 5-year relative survival rate was 70.1 percent after anterior resection, 59.8 per cent after abdominoperineal resection and 39.8 per cent after a Hartmann's procedure. The crude 5-year local recurrence rate was 9.5 per cent overall, 6.1 per cent after preoperative radiotherapy and 11.4 per cent after surgery alone. For 3868 patients who had a locally curative procedure the local recurrence rate was 7-4 per cent overall, 5.9 per cent for those who had radiotherapy and 10.2 per cent for those who did not. The local recurrence rate was 2.9 per cent (28 of 968) for stage I disease, 7.9 per cent (112 of 1418) for stage II, 13.9 per cent (188 of 1357) for stage III and 8.5 per cent (45 of 532) for stage IV. Conclusion: These good population-based results are due, in part, to the nationwide prospective quality assurance registration. Copyright © 2007 British Journal of Surgery Society Ltd Published by John Wiley & Sons Ltd.
Martin Boeker - One of the best experts on this subject based on the ideXlab platform.
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Analysis and visualization of disease courses in a semantically-enabled Cancer Registry
Journal of Biomedical Semantics, 2017Co-Authors: Angel Esteban-gil, Jesualdo Tomás Fernández-breis, Martin BoekerAbstract:Background Regional and epidemiological Cancer registries are important for Cancer research and the quality management of Cancer treatment. Many technological solutions are available to collect and analyse data for Cancer registries nowadays. However, the lack of a well-defined common semantic model is a problem when user-defined analyses and data linking to external resources are required. The objectives of this study are: (1) design of a semantic model for local Cancer registries; (2) development of a semantically-enabled Cancer Registry based on this model; and (3) semantic exploitation of the Cancer Registry for analysing and visualising disease courses. Results Our proposal is based on our previous results and experience working with semantic technologies. Data stored in a Cancer Registry database were transformed into RDF employing a process driven by OWL ontologies. The semantic representation of the data was then processed to extract semantic patient profiles, which were exploited by means of SPARQL queries to identify groups of similar patients and to analyse the disease timelines of patients. Based on the requirements analysis, we have produced a draft of an ontology that models the semantics of a local Cancer Registry in a pragmatic extensible way. We have implemented a Semantic Web platform that allows transforming and storing data from Cancer registries in RDF. This platform also permits users to formulate incremental user-defined queries through a graphical user interface. The query results can be displayed in several customisable ways. The complex disease timelines of individual patients can be clearly represented. Different events, e.g. different therapies and disease courses, are presented according to their temporal and causal relations. Conclusion The presented platform is an example of the parallel development of ontologies and applications that take advantage of semantic web technologies in the medical field. The semantic structure of the representation renders it easy to analyse key figures of the patients and their evolution at different granularity levels.
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Analysis and visualization of disease courses in a semantically-enabled Cancer Registry
Journal of Biomedical Semantics, 2017Co-Authors: Angel Esteban-gil, Jesualdo Tomás Fernández-breis, Martin BoekerAbstract:Regional and epidemiological Cancer registries are important for Cancer research and the quality management of Cancer treatment. Many technological solutions are available to collect and analyse data for Cancer registries nowadays. However, the lack of a well-defined common semantic model is a problem when user-defined analyses and data linking to external resources are required. The objectives of this study are: (1) design of a semantic model for local Cancer registries; (2) development of a semantically-enabled Cancer Registry based on this model; and (3) semantic exploitation of the Cancer Registry for analysing and visualising disease courses. Our proposal is based on our previous results and experience working with semantic technologies. Data stored in a Cancer Registry database were transformed into RDF employing a process driven by OWL ontologies. The semantic representation of the data was then processed to extract semantic patient profiles, which were exploited by means of SPARQL queries to identify groups of similar patients and to analyse the disease timelines of patients. Based on the requirements analysis, we have produced a draft of an ontology that models the semantics of a local Cancer Registry in a pragmatic extensible way. We have implemented a Semantic Web platform that allows transforming and storing data from Cancer registries in RDF. This platform also permits users to formulate incremental user-defined queries through a graphical user interface. The query results can be displayed in several customisable ways. The complex disease timelines of individual patients can be clearly represented. Different events, e.g. different therapies and disease courses, are presented according to their temporal and causal relations. The presented platform is an example of the parallel development of ontologies and applications that take advantage of semantic web technologies in the medical field. The semantic structure of the representation renders it easy to analyse key figures of the patients and their evolution at different granularity levels.
Robert Johansson - One of the best experts on this subject based on the ideXlab platform.
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validity of the swedish rectal Cancer Registry for patients treated with major abdominal surgery between 1995 and 1997
Acta Oncologica, 2013Co-Authors: Fredrik Jorgren, Robert Johansson, Lena Damber, Gudrun LindmarkAbstract:Background. Founded in 1995, the Swedish Rectal Cancer Registry (SRCR) is frequently used for rectal Cancer research. However, the validity of the Registry has not been extensively studied. This st ...
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the swedish rectal Cancer Registry
British Journal of Surgery, 2007Co-Authors: Lars Pahlman, Lena Damber, Gudrun Lindmark, M Bohe, B Cedermark, Michael Dahlberg, Rune Sjodahl, Bjorn Ojerskog, Robert JohanssonAbstract:Background: An audit of all patients with rectal Cancer in Sweden was launched in 1995. This is the first report from the Swedish Rectal Cancer Registry (SRCR). Methods: Between 1995 and 2003, 13 434 patients treated for adenocarcinoma of the rectum were registered with the SRCR, there were approximately 1500 new patients annually. Results: Approximately half had an anterior resection, a quarter an abdominoperineal resection and 15 per cent a Hartmann's procedure. The median 30-day postoperative mortality rate was 2.4 per cent and the overall postoperative morbidity rate was 35.0 per cent. The 5-year Cancer-specific survival rate was 62.3 percent. The 5-year relative survival rate was 70.1 percent after anterior resection, 59.8 per cent after abdominoperineal resection and 39.8 per cent after a Hartmann's procedure. The crude 5-year local recurrence rate was 9.5 per cent overall, 6.1 per cent after preoperative radiotherapy and 11.4 per cent after surgery alone. For 3868 patients who had a locally curative procedure the local recurrence rate was 7-4 per cent overall, 5.9 per cent for those who had radiotherapy and 10.2 per cent for those who did not. The local recurrence rate was 2.9 per cent (28 of 968) for stage I disease, 7.9 per cent (112 of 1418) for stage II, 13.9 per cent (188 of 1357) for stage III and 8.5 per cent (45 of 532) for stage IV. Conclusion: These good population-based results are due, in part, to the nationwide prospective quality assurance registration. Copyright © 2007 British Journal of Surgery Society Ltd Published by John Wiley & Sons Ltd.
Freddie Bray - One of the best experts on this subject based on the ideXlab platform.
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Cancer incidence and Cancer control in mongolia results from the national Cancer Registry 2008 12
International Journal of Cancer, 2017Co-Authors: Tuvshinjargal Chimed, Tuvshingerel Sandagdorj, Ariana Znaor, Mathieu Laversanne, Badamsuren Tseveen, Purevsuren Genden, Freddie BrayAbstract:Mongolia has a high burden from noncommunicable diseases, with Cancer now the second leading cause of mortality. Given the paucity of situation analyses from the country, this study reports Cancer data based on new cases 2008-12 from the National Cancer Registry of Mongolia covering the entire population (2.87 million). New Cancer cases of 21,564 were diagnosed over the 5-year period, with a slight predominance of cases (52%) in men. Liver Cancer was the leading Cancer site in both sexes (ASRs of 114.7 and 74.6 per 100,000 males and females), and responsible for almost two-fifths of all Cancer diagnoses, followed by Cancers of stomach, lung and oesophagus in men and cervix, stomach and oesophagus in women. The cumulative risk of incidence for all Cancers (27.7% and 20.8% in men and women, respectively) positions Mongolia above China (20.2% and 13.3%), below the United States (34.1% and 28.5%) and similar to Russia (26.1% and 19.1%). These figures shed light on the considerable magnitude of Cancer in the country and the large fraction of Cancers that can be prevented by lifestyle modifications and vaccine implementation. An expansion of activities of the Cancer Registry and the continued development of research are necessary steps in support of national Cancer control planning in Mongolia.
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evaluation of data quality in the Cancer Registry principles and methods part ii completeness
European Journal of Cancer, 2009Co-Authors: Max D Parkin, Freddie BrayAbstract:Abstract The completeness of Cancer Registry data – the extent to which all of the incident Cancers occurring in the population are included in the Registry database – is an extremely important attribute of a Cancer Registry. Only a high degree of completeness in case-finding procedures will ensure Cancer incidence rates and survival proportions are close to their true value. This second instalment of a two-part review of data quality methods at the Cancer Registry, focuses on the principles and techniques available for estimating completeness, separating methods into those that are semi-quantitative – in that they give an indication of the degree of completeness relative to other registries or over time, and more quantitative techniques – those that provide a numerical evaluation of the extent to which all eligible cases have been registered.
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evaluation of data quality in the Cancer Registry principles and methods part i comparability validity and timeliness
European Journal of Cancer, 2009Co-Authors: Freddie Bray, Max D ParkinAbstract:The value of the modern Cancer Registry and its ability to carry out Cancer control activities rely heavily on the underlying quality of its data and the quality control procedures in place. This two-part review provides an update of the practical aspects and techniques for addressing data quality at the Cancer Registry. This first installment of the review examines the factors influencing three of the four key aspects, namely, the comparability, validity and timeliness of Cancer Registry data. Comparability of Cancer data may be established through a comprehensive review of the registration routines in place. Validity is examined via numerical indices of that permit comparisons with other registries, or, within a Registry, over time, or with respect to specified subsets of cases. There are no international guidelines for timeliness at present, although specific standards for the abstraction and reporting of Registry have been set out by certain organisations.
Angel Esteban-gil - One of the best experts on this subject based on the ideXlab platform.
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Analysis and visualization of disease courses in a semantically-enabled Cancer Registry
Journal of Biomedical Semantics, 2017Co-Authors: Angel Esteban-gil, Jesualdo Tomás Fernández-breis, Martin BoekerAbstract:Background Regional and epidemiological Cancer registries are important for Cancer research and the quality management of Cancer treatment. Many technological solutions are available to collect and analyse data for Cancer registries nowadays. However, the lack of a well-defined common semantic model is a problem when user-defined analyses and data linking to external resources are required. The objectives of this study are: (1) design of a semantic model for local Cancer registries; (2) development of a semantically-enabled Cancer Registry based on this model; and (3) semantic exploitation of the Cancer Registry for analysing and visualising disease courses. Results Our proposal is based on our previous results and experience working with semantic technologies. Data stored in a Cancer Registry database were transformed into RDF employing a process driven by OWL ontologies. The semantic representation of the data was then processed to extract semantic patient profiles, which were exploited by means of SPARQL queries to identify groups of similar patients and to analyse the disease timelines of patients. Based on the requirements analysis, we have produced a draft of an ontology that models the semantics of a local Cancer Registry in a pragmatic extensible way. We have implemented a Semantic Web platform that allows transforming and storing data from Cancer registries in RDF. This platform also permits users to formulate incremental user-defined queries through a graphical user interface. The query results can be displayed in several customisable ways. The complex disease timelines of individual patients can be clearly represented. Different events, e.g. different therapies and disease courses, are presented according to their temporal and causal relations. Conclusion The presented platform is an example of the parallel development of ontologies and applications that take advantage of semantic web technologies in the medical field. The semantic structure of the representation renders it easy to analyse key figures of the patients and their evolution at different granularity levels.
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Analysis and visualization of disease courses in a semantically-enabled Cancer Registry
Journal of Biomedical Semantics, 2017Co-Authors: Angel Esteban-gil, Jesualdo Tomás Fernández-breis, Martin BoekerAbstract:Regional and epidemiological Cancer registries are important for Cancer research and the quality management of Cancer treatment. Many technological solutions are available to collect and analyse data for Cancer registries nowadays. However, the lack of a well-defined common semantic model is a problem when user-defined analyses and data linking to external resources are required. The objectives of this study are: (1) design of a semantic model for local Cancer registries; (2) development of a semantically-enabled Cancer Registry based on this model; and (3) semantic exploitation of the Cancer Registry for analysing and visualising disease courses. Our proposal is based on our previous results and experience working with semantic technologies. Data stored in a Cancer Registry database were transformed into RDF employing a process driven by OWL ontologies. The semantic representation of the data was then processed to extract semantic patient profiles, which were exploited by means of SPARQL queries to identify groups of similar patients and to analyse the disease timelines of patients. Based on the requirements analysis, we have produced a draft of an ontology that models the semantics of a local Cancer Registry in a pragmatic extensible way. We have implemented a Semantic Web platform that allows transforming and storing data from Cancer registries in RDF. This platform also permits users to formulate incremental user-defined queries through a graphical user interface. The query results can be displayed in several customisable ways. The complex disease timelines of individual patients can be clearly represented. Different events, e.g. different therapies and disease courses, are presented according to their temporal and causal relations. The presented platform is an example of the parallel development of ontologies and applications that take advantage of semantic web technologies in the medical field. The semantic structure of the representation renders it easy to analyse key figures of the patients and their evolution at different granularity levels.
