Evidence map›Paper›PMID 30206796›Full record

ArticleJournal of community genetics2019

Barriers to the identification of familial hypercholesterolemia among primary care providers.

John Zimmerman, Daniel Duprez, Patricia McCarthy Veach, Heather A Zierhut

Abstract read
In one paragraph

Article in Journal of community genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

  1. Review
  2. Article
  3. Measuring disease likelihood in genomic ascertainment.American journal of human genetics · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Unexpected gaps in knowledge of familial hypercholesterolaemia among Dutch general practitioners.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Article
  19. Population-based screening in children for early diagnosis and treatment of familial hypercholesterolemia: design of the VRONI study.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2022
    Article
  20. 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

4 authors.

John ZimmermanCancer Genetics Program, University of Texas Southwestern, Dallas, TX, USA.
Daniel DuprezDivision of Cardiology, University of Minnesota-Twin Cities, Minneapolis, MN, USA.
Patricia McCarthy VeachDepartment of Genetics, Cell Biology & Development, University of Minnesota-Twin Cities, Minneapolis, MN, USA.
Heather A ZierhutDepartment of Genetics, Cell Biology & Development, University of Minnesota-Twin Cities, Minneapolis, MN, USA. zier0034@umn.edu.ORCID http://orcid.org/0000-0003-1941-664X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Familial hypercholesterolemia (FH) is severely underdiagnosed in the USA. Primary care providers are well-positioned to identify FH cases; however, universal FH screening is not routinely implemented in practice. The aim of the present study was to identify perceived barriers to FH screening among primary care physicians in Minnesota. A questionnaire assessed FH screening practices, knowledge, and perceived barriers to FH screening. The questionnaire, sent electronically to internal and family medicine physicians in Minnesota (N = 1932) yielded a conservative estimated response rate of 9% (N = 173). Although 92% of participants reported themselves responsible for identifying individuals with FH, 30% did not routinely perform screening in practice. Only 50% of participants were able to correctly identify the risk of FH to first-degree relatives of individuals with FH. Challenges incorporating lipid and family history data was the most frequently endorsed barrier to FH screening (34%). A majority of participants endorsed a clinical decision support system that flags individuals at high risk for FH (62%) and an algorithm with cholesterol levels and lipid disorders (56%) as means of facilitating FH screening. Although the generalizability of the findings is unknown, the results underscore the need for increased provider education regarding FH and suggest an FH screening strategy incorporating a clinical decision support system, screening algorithm, and support from other healthcare providers.

Indexed as

Cholesterol screeningFamilial hypercholesterolemiaHeart diseaseHypercholesterolemiaProvider educationUniversal screening

Identifiers

PMID30206796
PMCPMC6435775

What OpenQuestion holds

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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.