Evidence map›Paper›PMID 28701353›Full record

ReviewJournal of lipid research2017

Knowns and unknowns in the care of pediatric familial hypercholesterolemia.

Andrew C Martin, Samuel S Gidding, Albert Wiegman, Gerald F Watts

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of lipid research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

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  16. Identification of novel variants in theBiomedical reports · 2021
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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

4 authors at 4 institutions in 3 countries.

Andrew C MartinPrincess Margaret Hospital for Children, Perth, Western Australia, Australia. Electronic address: andrew.martin@health.wa.gov.au.
Samuel S GiddingNemours Cardiac Center, A. I. duPont Hospital for Children, Wilmington, DE.
Albert WiegmanDepartment of Paediatrics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Gerald F WattsLipid Disorders Clinic, School of Medicine, University of Western Australia, Perth, Western Australia, Australia and Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia.
Amsterdam UMC Location University of Amsterdam · NLCommunity Health Systems - Dupont Hospital · USPrincess Margaret Hospital for Children · AURoyal Perth Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Familial hypercholesterolemia (FH) is a common genetic disorder that causes elevated LDL cholesterol levels from birth. Untreated FH accelerates atherosclerosis and predisposes individuals to premature coronary artery disease (CAD) in adulthood. Mendelian randomization studies have demonstrated that LDL cholesterol has both a causal and cumulative effect on the risk of CAD. This supports clinical recommendations that children with FH commence pharmacological treatment from the age of 8 to 10 years, to reduce the burden of hypercholesterolemia. Worldwide, the majority of children with FH remain undiagnosed. Recent evidence suggests that the frequency of FH is at least 1 in 250 and this constitutes a public health issue. We review and identify the knowns and unknowns concerning the detection and management of pediatric FH that impact on the developing model of care for this condition.

Indexed as

Hyperlipoproteinemia Type IIHumansPatient CarePediatricsRisk AssessmentSocial SupportadolescentschildrencholesteroldyslipidemiasLDL cholesterollipoproteinsscreeningstatins

Identifiers

PMID28701353
PMCPMC5580907
OpenAlexW2735531872

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.