Risk-Adjusted Cancer Screening and Prevention (RiskAP) : Complementing Screening for Early Disease Detection by a Learning Screening Based on Risk Factors

Lade...
Vorschaubild
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2022
Autor:innen
Schmutzler, Rita K.
Schmitz-Luhn, Björn
Borisch, Bettina
Devilee, Peter
Eccles, Diana
Hall, Per
Balmaña, Judith
Boccia, Stefania
Dabrock, Peter
et al.
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
ArXiv-ID
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
European Union (EU): 634935
Projekt
Open Access-Veröffentlichung
Open Access Hybrid
Sammlungen
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Breast Care. Karger. 2022, 17(2), pp. 208-223. ISSN 1661-3791. eISSN 1661-3805. Available under: doi: 10.1159/000517182
Zusammenfassung

Background: Risk-adjusted cancer screening and prevention is a promising and continuously emerging option for improving cancer prevention. It is driven by increasing knowledge of risk factors and the ability to determine them for individual risk prediction. However, there is a knowledge gap between evidence of increased risk and evidence of the effectiveness and efficiency of clinical preventive interventions based on increased risk. This gap is, in particular, aggravated by the extensive availability of genetic risk factor diagnostics, since the question of appropriate preventive measures immediately arises when an increased risk is identified. However, collecting proof of effective preventive measures, ideally by prospective randomized preventive studies, typically requires very long periods of time, while the knowledge about an increased risk immediately creates a high demand for action.

Summary: Therefore, we propose a risk-adjusted prevention concept that is based on the best current evidence making needed and appropriate preventive measures available, and which is constantly evaluated through outcome evaluation, and continuously improved based on these results. We further discuss the structural and procedural requirements as well as legal and socioeconomical aspects relevant for the implementation of this concept.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
150 Psychologie
Schlagwörter
Risk-adjusted prevention · Breast cancer · Evidencegenerating care · ELSI ethical, legal, social implications
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690SCHMUTZLER, Rita K., Björn SCHMITZ-LUHN, Bettina BORISCH, Peter DEVILEE, Diana ECCLES, Per HALL, Judith BALMAÑA, Stefania BOCCIA, Peter DABROCK, Wolfgang GAISSMAIER, 2022. Risk-Adjusted Cancer Screening and Prevention (RiskAP) : Complementing Screening for Early Disease Detection by a Learning Screening Based on Risk Factors. In: Breast Care. Karger. 2022, 17(2), pp. 208-223. ISSN 1661-3791. eISSN 1661-3805. Available under: doi: 10.1159/000517182
BibTex
@article{Schmutzler2022-04-27RiskA-54768,
  year={2022},
  doi={10.1159/000517182},
  title={Risk-Adjusted Cancer Screening and Prevention (RiskAP) : Complementing Screening for Early Disease Detection by a Learning Screening Based on Risk Factors},
  number={2},
  volume={17},
  issn={1661-3791},
  journal={Breast Care},
  pages={208--223},
  author={Schmutzler, Rita K. and Schmitz-Luhn, Björn and Borisch, Bettina and Devilee, Peter and Eccles, Diana and Hall, Per and Balmaña, Judith and Boccia, Stefania and Dabrock, Peter and Gaissmaier, Wolfgang}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/54768">
    <dc:language>eng</dc:language>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Boccia, Stefania</dc:contributor>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/54768/1/Schmutzler_2-1evzk0lvm38cz8.pdf"/>
    <dc:creator>Devilee, Peter</dc:creator>
    <dc:contributor>Eccles, Diana</dc:contributor>
    <dc:creator>Schmutzler, Rita K.</dc:creator>
    <dc:contributor>Borisch, Bettina</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/54768"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/54768/1/Schmutzler_2-1evzk0lvm38cz8.pdf"/>
    <dcterms:issued>2022-04-27</dcterms:issued>
    <dc:creator>Gaissmaier, Wolfgang</dc:creator>
    <dc:contributor>Hall, Per</dc:contributor>
    <dc:contributor>Balmaña, Judith</dc:contributor>
    <dc:contributor>Dabrock, Peter</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
    <dc:contributor>Schmitz-Luhn, Björn</dc:contributor>
    <dc:contributor>Schmutzler, Rita K.</dc:contributor>
    <dc:creator>Dabrock, Peter</dc:creator>
    <dc:rights>Attribution-NonCommercial 4.0 International</dc:rights>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-09-01T13:52:51Z</dcterms:available>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
    <dc:creator>Borisch, Bettina</dc:creator>
    <dcterms:title>Risk-Adjusted Cancer Screening and Prevention (RiskAP) : Complementing Screening for Early Disease Detection by a Learning Screening Based on Risk Factors</dcterms:title>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-09-01T13:52:51Z</dc:date>
    <dc:creator>Balmaña, Judith</dc:creator>
    <dc:creator>Schmitz-Luhn, Björn</dc:creator>
    <dc:creator>Hall, Per</dc:creator>
    <dc:creator>Eccles, Diana</dc:creator>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc/4.0/"/>
    <dc:contributor>Devilee, Peter</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:abstract xml:lang="eng">Background: Risk-adjusted cancer screening and prevention is a promising and continuously emerging option for improving cancer prevention. It is driven by increasing knowledge of risk factors and the ability to determine them for individual risk prediction. However, there is a knowledge gap between evidence of increased risk and evidence of the effectiveness and efficiency of clinical preventive interventions based on increased risk. This gap is, in particular, aggravated by the extensive availability of genetic risk factor diagnostics, since the question of appropriate preventive measures immediately arises when an increased risk is identified. However, collecting proof of effective preventive measures, ideally by prospective randomized preventive studies, typically requires very long periods of time, while the knowledge about an increased risk immediately creates a high demand for action.&lt;br /&gt;&lt;br /&gt;Summary: Therefore, we propose a risk-adjusted prevention concept that is based on the best current evidence making needed and appropriate preventive measures available, and which is constantly evaluated through outcome evaluation, and continuously improved based on these results. We further discuss the structural and procedural requirements as well as legal and socioeconomical aspects relevant for the implementation of this concept.</dcterms:abstract>
    <dc:creator>Boccia, Stefania</dc:creator>
    <dc:contributor>Gaissmaier, Wolfgang</dc:contributor>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja
Diese Publikation teilen