Evidence map›Paper›PMID 33920869›Full record

ReviewJournal of personalized medicine2021

Systematic Identification of Familial Hypercholesterolaemia in Primary Care-A Systematic Review.

Luisa Silva, Nadeem Qureshi, Hasidah Abdul-Hamid, Stephen Weng, Joe Kai, Jo Leonardi-Bee

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 21% 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, 7 citations in OpenAlex.

  1. Review
  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

6 authors at 1 institution in 2 countries.

Luisa SilvaPrimary Care Stratified Medicine (PRISM) Group, NIHR School of Primary Care Research, University of Nottingham, Nottingham NG7 2RD, UK.
Nadeem QureshiPrimary Care Stratified Medicine (PRISM) Group, NIHR School of Primary Care Research, University of Nottingham, Nottingham NG7 2RD, UK.ORCID 0000-0003-4909-0644
Hasidah Abdul-HamidPrimary Care Stratified Medicine (PRISM) Group, NIHR School of Primary Care Research, University of Nottingham, Nottingham NG7 2RD, UK.ORCID 0000-0002-1642-0427
Stephen WengPrimary Care Stratified Medicine (PRISM) Group, NIHR School of Primary Care Research, University of Nottingham, Nottingham NG7 2RD, UK.ORCID 0000-0002-5281-9590
Joe KaiPrimary Care Stratified Medicine (PRISM) Group, NIHR School of Primary Care Research, University of Nottingham, Nottingham NG7 2RD, UK.ORCID 0000-0001-9040-9384
Jo Leonardi-BeeCentre for Evidence Based Healthcare, Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, Nottingham NG7 2RD, UK.ORCID 0000-0003-0893-6068
University of Nottingham · GB

Funding

Medical Research Council MR/T017384/1National Institute for Health Research Cochrane Infrastructure funding to the Cochrane Cystic Fibrosis and Genetic Disorders Group
6 · The paper itself

Abstract

Familial hypercholesterolaemia (FH) is a common inherited cause of premature cardiovascular disease, but the majority of patients remain undiagnosed. The aim of this systematic review was to assess the effectiveness of interventions to systematically identify FH in primary care. No randomised, controlled studies were identified; however, three non-randomised intervention studies were eligible for inclusion. All three studies systematically identified FH using reminders (on-screen prompts) in electronic health records. There was insufficient evidence that providing comments on laboratory test results increased the identification of FH using the Dutch Lipid Clinic Network (DLCN) criteria. Similarly, using prompts combined with postal invitation demonstrated no significant increase in definite FH identification using Simon-Broome (SB) criteria; however, the identification of possible FH increased by 25.4% (CI 17.75 to 33.97%). Using on-screen prompts alone demonstrated a small increase of 0.05% (95% CI 0.03 to 0.07%) in identifying definite FH using SB criteria; however, when the intervention was combined with an outreach FH nurse assessment, the result was no significant increase in FH identification using a combination of SB and DLCN criteria. None of the included studies reported adverse effects associated with the interventions. Currently, there is insufficient evidence to determine which is the most effective method of systematically identifying FH in non-specialist settings.

Indexed as

familial hypercholesterolaemiageneticsprimary care

Identifiers

PMID33920869
PMCPMC8071332
OpenAlexW3153270425

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.