Observational studyFamilial cancer2014
A family history questionnaire improves detection of women at risk for hereditary gynecologic cancer: a pilot study.
Observational study in Familial cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The design, implementation, and effectiveness of intervention strategies aimed at improving genetic referral practices: a systematic review of the literature.Genetics in medicine : official journal of the American College of Medical Genetics · 2021Pooled it
- Current Genetic Service Delivery Models for the Provision of Genetic Testing in Europe: A Systematic Review of the Literature.Frontiers in genetics · 2019Pooled it
- What characterizes cancer family history collection tools? A critical literature review.Current oncology (Toronto, Ont.) · 2018Review
- Genetic variants within the cancer susceptibility region 8q24 and ovarian cancer risk in Han Chinese women.Oncotarget · 2017Article
- Clinical utility of a self-administered questionnaire for assessment of hereditary gynecologic cancer.Japanese journal of clinical oncology · 2017Article
- Patient's Experience in Pediatric Primary Immunodeficiency Disorders: Computerized Classification of Questionnaires.Frontiers in immunology · 2017Article
- Investigation of estrogen receptor (ESR1) for breast cancer from traditional Chinese medicine.BioMed research international · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pilot study to evaluate whether the use of a standardized questionnaire to document family history of cancer improves identification of women who warrant referral to cancer genetic services (CGS) for increased risk of hereditary cancer, compared to their identification in usual care. Prospective intervention study with historic control group. Gynecology outpatient clinic, Maastricht University Medical Centre, the Netherlands. The prospective intervention group consisted of new outpatients between June 1 and August 1, 2011. The historic control group consisted of new outpatients between May 1, 2009 and April 30, 2010. A standardized questionnaire based on established referral criteria for hereditary breast/ovarian cancer and Lynch syndrome was completed for the intervention group. The referral rate in routine consultation, based on non-standardized family history recording, was determined retrospectively for the control group. The difference in referral rate between intervention and control group, tested by Chi square test. In the control group, 8 of 3,036 women (0.26 %) were referred to CGS. In the intervention group, 209 (42 %) of 500 screening questionnaires were completed. Nineteen women (9, 1 %) met the referral guidelines, of which 5 were newly referred to CGS (2, 4 %). Referral rates differed significantly (p < 0.001) between the two groups. This pilot study shows that the routine use of a screening questionnaire may improve detection and referral rate to CGS of individuals at risk for hereditary cancer. Improving genetic literacy of physicians and use of web-site questionnaires deserve attention in future studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.