Evidence map›Paper›PMID 25887683›Full record

ReviewCurrent opinion in lipidology2015

Improving the cost-effectiveness equation of cascade testing for familial hypercholesterolaemia.

Robert Pears, Michael Griffin, Marta Futema, Steve E Humphries

Open access · hybridAbstract readReview
In one paragraph

Review in Current opinion in lipidology, 2015. 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
2.7field-weighted citation impact, top 10% 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, 16 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

4 authors at 2 institutions in 1 country.

Robert PearsaPublic Health Department, Corporate Services, Hampshire County Council, Winchester, Hampshire bSolutions for Public Health, Oxford Business Park South, Cowley, Oxfordshire cCentre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, UK.
Michael Griffin
Marta Futema
Steve E Humphries
University College London · GBHampshire County Council · GB

Funding

British Heart Foundation RG/08/008/25291
6 · The paper itself

Abstract

purpose of reviewMany international recommendations for the management of familial hypercholesterolaemia propose the use of cascade testing using the family mutation to unambiguously identify affected relatives. In the current economic climate DNA information is often regarded as too expensive. Here, we review the literature and suggest strategies to improve cost-effectiveness of cascade testing. RECENT

findingsAdvances in next-generation sequencing have both speeded up the time taken for a genetic diagnosis and reduced costs. Also, it is now clear that, in the majority of patients with a clinical diagnosis of familial hypercholesterolaemia in whom no mutation can be found, the most likely cause of their elevated LDL-cholesterol (LDL-C) is because they have inherited a greater number than average of common LDL-C raising variants in many different genes. The major cost driver for cascade testing is not DNA testing but treatment over the remaining lifetime of the identified relative. With potent statins now off-patent, the overall cost has reduced considerably, and combining these three factors, a familial hypercholesterolaemia service based around DNA-cascade testing is now less than 25% of that estimated by NICE in 2008. SUMMARY: Although all patients with a clinical diagnosis of familial hypercholesterolaemia need to have their LDL-C lowered, cascade testing should be focused on those with the monogenic form and not the polygenic form.

Indexed as

Cost-Benefit AnalysisGenetic TestingHumansHyperlipoproteinemia Type IIMultifactorial InheritanceSequence Analysis, DNA

Identifiers

PMID25887683
PMCPMC4791315
OpenAlexW2330402612

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.