Evidence map›Paper›PMID 27148937›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2016

Family health history reporting is sensitive to small changes in wording.

Liam S Conway-Pearson, Kurt D Christensen, Sarah K Savage, Noelle L Huntington, Elissa R Weitzman, Sonja I Ziniel, Phoebe Bacon, Cara N Cacioppo, Robert C Green, Ingrid A Holm

Open access · bronzeAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 27% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Liam S Conway-PearsonNorthwestern University, Evanston, Illinois, USA.ORCID 0000-0002-8944-4278
Kurt D ChristensenDepartment of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0003-4068-776X
Sarah K SavageDivision of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.
Noelle L HuntingtonDivision of Developmental Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.
Elissa R WeitzmanDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA.
Sonja I ZinielDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-7953-6398
Phoebe BaconJohns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0001-7927-2348
Cara N CacioppoDivision of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.
Robert C GreenDepartment of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Ingrid A HolmDivision of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.
Boston Children's Hospital · USBrigham and Women's Hospital · USJohns Hopkins University · USNorthwestern University · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Integration of Whole Genome Sequencing into Clinical MedicineU01HG006500 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2012 to 2016
$11.5M
Genome Sequence-Based Screening for Childhood Risk and Newborn IllnessU19HD077671 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI BEGGS, ALAN H., GREEN, ROBERT C. · 2013 to 2018
$6.1M
Returning research results in children: Parental Preferences and Expert OversightR01HG006615 · NHGRI · BOSTON CHILDREN'S HOSPITAL · PI HOLM, INGRID ADELE · 2011 to 2013
$361k
Incidental Finding Preferences in Whole Genome Sequencing: A Randomized TrialF32HG006993 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHRISTENSEN, KURT DEREK · 2012 to 2013
$102k
NCATS NIH HHS UL1 TR001422NHGRI NIH HHS F32 HG006993NHGRI NIH HHS R01 HG006615NHGRI NIH HHS U01 HG006500NICHD NIH HHS U19 HD077671
6 · The paper itself

Abstract

purposeFamily health history is often collected through single-item queries that ask patients whether their family members are affected by certain conditions. The specific wording of these queries may influence what individuals report.

methodsParents of Boston Children's Hospital patients were invited to participate in a Web-based survey about the return of individual genomic research results regarding their children. Participants reported whether 11 types of medical conditions affected them or their family. Randomization determined whether participants were specifically instructed to consider their extended family.

resultsFamily health history was reported by 2,901 participants. Those asked to consider their extended family were more likely to report a positive family history for 8 of 11 medical conditions. The largest differences were observed for cancer (65.1 vs. 45.7%; P < 0.001), cardiovascular conditions (72.5 vs. 56.0%; P < 0.001), and endocrine/hormonal conditions (50.9 vs. 36.7%; P < 0.001).

conclusionsSmall alterations to the way family health history queries are worded can substantially change patient responses. Clinicians and researchers need to be sensitive about patients' tendencies to omit extended family from health history reporting unless specifically asked to consider them.Genet Med 18 12, 1308-1311.

Indexed as

Attitude to HealthGenomicsMedical History TakingChildChild, PreschoolFemaleGenetic Diseases, InbornHumansMaleParents

Identifiers

PMID27148937
PMCPMC5097687
OpenAlexW2345521822

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.