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1000 Titel
  • Effective identification of cancer predisposition syndromes in children with cancer employing a questionnaire
1000 Autor/in
  1. Schwermer, Miriam |
  2. Behnert, Astrid |
  3. Dörgeloh, Beate |
  4. Ripperger, Tim |
  5. Kratz, Christian |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-03-02
1000 Erschienen in
1000 Quellenangabe
  • 20(4):257-262
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s10689-021-00233-5 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484089/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Approximately 10% of children with newly diagnosed cancer have a cancer predisposition syndrome (CPS). The optimal diagnostic approach to identify them among children diagnosed with cancer is unknown.!##!Objective!#!To determine whether the use of a one-page questionnaire can improve the CPS diagnosis among children with an oncologic condition.!##!Design!#!Comparative effectiveness research.!##!Setting!#!Referral center for children with cancer.!##!Results!#!739 children diagnosed with an oncologic condition between 2012 and 2019. All children with a newly diagnosed oncologic condition presenting to Hannover Medical School between January 1st 2017 and December 31st 2019 were prospectively evaluated with a CPS questionnaire. Children in whom the questionnaire suggested the need of a genetic workup were further evaluated. All children diagnosed with an oncologic condition between January 1st 2012 and December 31st 2016 served as control. The CPS diagnoses established during both time periods were evaluated and compared. A CPS was diagnosed in 27 out of 287 children (9.4%) during the questionnaire period versus 24 out of 452 children (5.3%) during the control period (P = 0.032).!##!Conclusion!#!The CPS questionnaire appears to significantly improve the diagnosis of children with CPS among children with a newly diagnosed oncologic condition.
1000 Sacherschließung
lokal Genetic Predisposition to Disease [MeSH]
lokal Original Article
lokal Surveys and Questionnaires [MeSH]
lokal Questionnaire
lokal Humans [MeSH]
lokal Syndrome [MeSH]
lokal Referral and Consultation [MeSH]
lokal Neoplasms/diagnosis [MeSH]
lokal Pediatric cancer
lokal Neoplasms/genetics [MeSH]
lokal Child [MeSH]
lokal Cancer predisposition syndromes
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/U2Nod2VybWVyLCBNaXJpYW0=|https://frl.publisso.de/adhoc/uri/QmVobmVydCwgQXN0cmlk|https://frl.publisso.de/adhoc/uri/RMO2cmdlbG9oLCBCZWF0ZQ==|https://frl.publisso.de/adhoc/uri/UmlwcGVyZ2VyLCBUaW0=|https://orcid.org/0000-0003-4120-5873
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1000 Erstellt am 2023-04-28T12:06:32.193+0200
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1000 Zuletzt bearbeitet Fri Oct 20 17:29:18 CEST 2023
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