Literature DB >> 27222437

Validity of self-reported family history of cancer: A systematic literature review on selected cancers.

Jonas Fiederling1, Ahmad Zia Shams1, Ulrike Haug2,3.   

Abstract

Evidence regarding validity of self-reported family history of cancer (FHC) has been reviewed only for breast, colorectal, prostate, ovarian, endometrial and uterine cancer. We aimed to systematically review studies assessing validity of self-reported family history for the remaining cancer sites. We searched the Medline database for relevant studies published by January 2016. We extracted information on the study design and the positive predictive value (PPV) of self-reported FHC, defined as the proportion of reported cancer diagnoses among relatives that was confirmed by a reference standard (as a measure of over-reporting). We also extracted information on sensitivity of self-reported FHC (as a measure of underreporting). Overall, 21 studies were included that provided information on the PPV of self-reported FHC for relevant cancers and four studies also provided information on sensitivity. The PPV was highest (mostly >70%) for pancreatic, lung, thyroid and urinary system cancers and for leukemia and lymphoma, while it was lowest for stomach and liver cancer. Sensitivity was highest (>70%) for pancreatic cancer, lung cancer, brain cancer, melanoma, leukemia and lymphoma. For several cancers, sample sizes were low and the number of studies limited, particularly regarding sensitivity of self-reported FHC. In conclusion, for some cancers (e.g., pancreatic cancer, lung cancer, leukemia, lymphoma) self-reported FHC can be considered sufficiently valid to be useful, for example, in preventive counseling. For several cancers, it is not sufficiently studied or the pattern is inconsistent. This needs to be taken into account when using self-reported information about FHC in clinical practice or epidemiological research.
© 2016 UICC.

Entities:  

Keywords:  accuracy; cancer; family history; self-report; validity

Mesh:

Year:  2016        PMID: 27222437     DOI: 10.1002/ijc.30203

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  22 in total

1.  Is Low FMR1 CGG Repeat Length in Males Correlated with Family History of BRCA-Associated Cancers? An Exploratory Analysis of Medical Records.

Authors:  Hallee C Adamsheck; Elizabeth M Petty; Jinkuk Hong; Mei W Baker; Murray H Brilliant; Marsha R Mailick
Journal:  J Genet Couns       Date:  2017-06-30       Impact factor: 2.537

2.  Estimating CDKN2A mutation carrier probability among global familial melanoma cases using GenoMELPREDICT.

Authors:  Nicholas J Taylor; Nandita Mitra; Lu Qian; Marie-Françoise Avril; D Timothy Bishop; Brigitte Bressac-de Paillerets; William Bruno; Donato Calista; Francisco Cuellar; Anne E Cust; Florence Demenais; David E Elder; Anne-Marie Gerdes; Paola Ghiorzo; Alisa M Goldstein; Thais C Grazziotin; Nelleke A Gruis; Johan Hansson; Mark Harland; Nicholas K Hayward; Marko Hocevar; Veronica Höiom; Elizabeth A Holland; Christian Ingvar; Maria Teresa Landi; Gilles Landman; Alejandra Larre-Borges; Graham J Mann; Eduardo Nagore; Håkan Olsson; Jane M Palmer; Barbara Perić; Dace Pjanova; Antonia L Pritchard; Susana Puig; Helen Schmid; Nienke van der Stoep; Margaret A Tucker; Karin A W Wadt; Xiaohong R Yang; Julia A Newton-Bishop; Peter A Kanetsky
Journal:  J Am Acad Dermatol       Date:  2019-02-05       Impact factor: 11.527

3.  Race/Ethnicity and Accuracy of Self-Reported Female First-Degree Family History of Breast and Other Cancers in the Northern California Breast Cancer Family Registry.

Authors:  Esther M John; Alison J Canchola; Meera Sangaramoorthy; Jocelyn Koo; Alice S Whittemore; Dee W West
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-09-05       Impact factor: 4.254

4.  Low accuracy of self-reported family history of melanoma in high-risk patients.

Authors:  Nicholas D Flint; Michael D Bishop; Tristan C Smart; Jennifer L Strunck; Kenneth M Boucher; Douglas Grossman; Aaron M Secrest
Journal:  Fam Cancer       Date:  2021-01       Impact factor: 2.375

5.  Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program.

Authors:  Robert M Cronin; Alese E Halvorson; Cassie Springer; Xiaoke Feng; Lina Sulieman; Roxana Loperena-Cortes; Kelsey Mayo; Robert J Carroll; Qingxia Chen; Brian K Ahmedani; Jason Karnes; Bruce Korf; Christopher J O'Donnell; Jun Qian; Andrea H Ramirez
Journal:  J Am Med Inform Assoc       Date:  2021-03-18       Impact factor: 4.497

6.  A New Look at Familial Risk of Inflammatory Bowel Disease in the Ashkenazi Jewish Population.

Authors:  Elena R Schiff; Matthew Frampton; Francesca Semplici; Stuart L Bloom; Sara A McCartney; Roser Vega; Laurence B Lovat; Eleanor Wood; Ailsa L Hart; Daniel Crespi; Mark A Furman; Steven Mann; Charles D Murray; Anthony W Segal; Adam P Levine
Journal:  Dig Dis Sci       Date:  2018-09-03       Impact factor: 3.199

7.  Translating Cancer Risk Prediction Models into Personalized Cancer Risk Assessment Tools: Stumbling Blocks and Strategies for Success.

Authors:  Erika A Waters; Jennifer M Taber; Amy McQueen; Ashley J Housten; Jamie L Studts; Laura D Scherer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-10-12       Impact factor: 4.254

8.  Familial risks for gallstones in the population of Sweden.

Authors:  Kari Hemminki; Otto Hemminki; Asta Försti; Kristina Sundquist; Jan Sundquist; Xinjun Li
Journal:  BMJ Open Gastroenterol       Date:  2017-12-29

9.  Other cancers in lung cancer families are overwhelmingly smoking-related cancers.

Authors:  Hongyao Yu; Christoph Frank; Akseli Hemminki; Kristina Sundquist; Kari Hemminki
Journal:  ERJ Open Res       Date:  2017-06-27

10.  First-degree relatives of cancer patients: a target group for primary prevention? A cross-sectional study.

Authors:  Ulrike Haug; Oliver Riedel; Constanze Cholmakow-Bodechtel; Louise Olsson
Journal:  Br J Cancer       Date:  2018-03-21       Impact factor: 7.640

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