Evidence map›Paper›PMID 24385386›Full record

ReviewPaediatric drugs2014

Management of hypercholesterolemia in children.

Marjet J A M Braamskamp, Barbara A Hutten, Albert Wiegman, John J P Kastelein

Abstract readReview
PubMed Publisher
In one paragraph

Review in Paediatric drugs, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Familial hypercholesterolemia - treatment update in children, systematic review.Pediatric endocrinology, diabetes, and metabolism · 2022
    Pooled it
  2. Article
  3. 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 at 1 institution in 1 country.

Marjet J A M BraamskampAcademic Medical Center, Department of Vascular Medicine, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands, j.a.braamskamp@amc.uva.nl.
Barbara A Hutten
Albert Wiegman
John J P Kastelein
Academic Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) remains the leading cause of death and morbidity in our society. One of the major risk factors for CVD is hypercholesterolemia. Hypercholesterolemia in children can be caused by a hereditary disorder or can be secondary to other diseases or drugs. In order to prevent CVD later in life, children with hypercholesterolemia should be identified and treated as early as possible. Currently, several different screening strategies have been developed, using either universal screening or case finding to search for children at risk. Once those children are identified, the first step in treatment is lifestyle adjustment. If cholesterol levels remain elevated, the drugs of first choice are statins. Other pharmacological options are ezetimibe or bile acid sequestrants. These agents have all proven to be safe and effective in lowering low-density lipoprotein cholesterol levels and improving surrogate markers of CVD. However, there is a need for long-term follow-up studies to answer the question as to whether it is safe to initiate treatment at a young age to prevent CVD later in life.

Indexed as

Age FactorsAnticholesteremic AgentsAzetidinesBile Acids and SaltsCardiovascular DiseasesChildCholesterolEzetimibeHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypercholesterolemiaLife StyleMass ScreeningRisk FactorsAnticholesteremic AgentsAzetidinesBile Acids and SaltsCholesterolEzetimibeHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID24385386
OpenAlexW2022701079

What OpenQuestion holds

Texttitle and abstract
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.