ArticlePediatrics2013
Family history in primary care pediatrics.
Article in Pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
9 citing papers in PubMed.
- Does Education Design Matter? Evaluating an Evidence-Based Continuing Education Intervention on Genomic Testing for Primary Care; a Pre-Test Post-Test Study.Journal of CME · 2025Article
- Developing community-based health education strategies with family history: Assessing the association between community resident family history and interest in health education.Social science & medicine (1982) · 2021Article
- Family health history and genetic services-the East Baltimore community stakeholder interview project.Journal of community genetics · 2019Article
- Associations between lipid profiles of adolescents and their mothers based on a nationwide health and nutrition survey in South Korea.BMJ open · 2019Article
- Genomic Sequencing Expansion and Incomplete Penetrance.Pediatrics · 2019Article
- Survey of family history taking and genetic testing in pediatric practice.Journal of community genetics · 2017Article
- Family health history reporting is sensitive to small changes in wording.Genetics in medicine : official journal of the American College of Medical Genetics · 2016Article
- Digital Family History Data Mining with Neural Networks: A Pilot Study.Perspectives in health information managemen · 2016Article
- Psychosocial Adjustment in School-age Girls With a Family History of Breast Cancer.Pediatrics · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The family history has been called the first genetic test; it was a core element of primary care long before the current wave of genetics technologies and services became clinically relevant. Risk assessment based on family history allows providers to personalize and prioritize health messages, shifts the focus of health care from treatment to prevention, and can empower individuals and families to be stewards of their own health. In a world of rising health care costs, the family history is an important tool, with its primary cost being the clinician's time. However, a recent National Institutes of Health conference highlighted the lack of substantive evidence to support the clinical utility of family histories. Annual collection of a comprehensive 3-generation family history has been held up as the gold standard for practice. However, interval family histories targeted to symptoms and family histories tailored to a child's life stage (ie, age-based health) may be important and underappreciated methods of collecting family history that yield clinically actionable data and supplement existing family history information. In this article, we review the various applications, as well as capabilities and limitations, of the family history for primary care providers.
Indexed as
Identifiers
What OpenQuestion holds
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.