Evidence map›Paper›PMID 25356968›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2015

Clinically relevant lessons from Family HealthLink: a cancer and coronary heart disease familial risk assessment tool.

Kevin Sweet, Amy C Sturm, Amy Rettig, Joseph McElroy, Doreen Agnese

Abstract read
PubMed Publisher
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Family history tools for primary care: A systematic review.The European journal of general practice · 2022
    Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

5 authors at 2 institutions in 2 countries.

Kevin SweetDivision of Human Genetics, Department of Internal Medicine, Ohio State University Wexner Medical Center, Columbus, Ohio, USA.ORCID 000000029131347X
Amy C Sturm1] Division of Human Genetics, Department of Internal Medicine, Ohio State University Wexner Medical Center, Columbus, Ohio, USA [2] Department of Internal Medicine, Dorothy M. Davis Heart and Lung Research Institute, Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Amy RettigDepartment of Internal Medicine, Stefanie Spielman Comprehensive Breast Center, Ohio State University Wexner Medical Center, Columbus, Ohio, USA.ORCID 0000000298317641
Joseph McElroyDepartment of Internal Medicine, Center for Biostatistics, Department of Biomedical Informatics, Columbus, Ohio, USA.
Doreen Agnese1] Division of Human Genetics, Department of Internal Medicine, Ohio State University Wexner Medical Center, Columbus, Ohio, USA [2] Division of Surgical Oncology, Department of Internal Medicine, Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
The Ohio State University Wexner Medical Center · USColumbus Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA descriptive retrospective study was performed using two separate user cohorts to determine the effectiveness of Family HealthLink as a clinical triage tool.

methodsCohort 1 consisted of 2,502 users who accessed the public website. Cohort 2 consisted of 194 new patients in a Comprehensive Breast Center setting. For patient users, we assessed documentation of family history and genetics referral. For all users seen in a genetics clinic, the Family HealthLink assessment was compared with that performed by genetic counselors and genetic testing outcomes.

resultsFor general public users, the percentage meeting high-risk criteria were: for cancer only, 22.2%; for coronary heart disease only, 24.3%; and for both diseases, 10.4%. These risk stratification percentages were similar for the patient users. For the patient users, there often was documentation of family history of certain cancer types by oncology professionals, but age of onset and coronary heart disease family history were less complete. Of 142 with high-risk assignments seen in a genetics clinic, 130 (91.5%) of these assignments were corroborated. Forty-two underwent genetic testing and 17 (40.5%) had new molecular diagnoses established.

conclusionA significant percentage of individuals are at high familial risk and may require more intensive screening and referral. Interactive family history triage tools can aid this process.Genet Med 17 6, 493-500.

Indexed as

FamilyInternetRisk AssessmentAdultCohort StudiesCoronary DiseaseFemaleGenetic CounselingGenetic Predisposition to DiseaseGenetic TestingHumansMaleMiddle AgedNeoplasmsOhioReferral and Consultation

Identifiers

PMID25356968
OpenAlexW2045199911

What OpenQuestion holds

Textmetadata
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.