Evidence map›Paper›PMID 27231005›Full record

ArticleBMJ open2016

Feasibility of improving identification of familial hypercholesterolaemia in general practice: intervention development study.

Nadeem Qureshi, Stephen Weng, Jennifer Tranter, Alia El-Kadiki, Joe Kai

Erratum issuedAbstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Nadeem QureshiDivision of Primary Care, NIHR School of Primary Care Research, University of Nottingham, Nottingham, UK.
Stephen WengDivision of Primary Care, NIHR School of Primary Care Research, University of Nottingham, Nottingham, UK.
Jennifer TranterDivision of Primary Care, NIHR School of Primary Care Research, University of Nottingham, Nottingham, UK.
Alia El-KadikiNottingham University Hospitals NHS Trust, Nottingham, UK.
Joe KaiDivision of Primary Care, NIHR School of Primary Care Research, University of Nottingham, Nottingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the feasibility of improving identification of familial hypercholesterolaemia (FH) in primary care, and of collecting outcome measures to inform a future trial.

designFeasibility intervention study.

setting6 general practices (GPs) in central England.

participants831 eligible patients with elevated cholesterol >7.5 mmol/L were identified, by search of electronic health records, for recruitment to the intervention.

interventionEducational session in practice; use of opportunistic computer reminders in consultations or universal postal invitation over 6 months to eligible patients invited to complete a family history questionnaire. Those fulfilling the Simon-Broome criteria for possible FH were invited for GP assessment and referred for specialist definitive diagnosis. OUTCOME MEASURES: Rates of recruitment of eligible patients, identification of patients with possible FH, referral to specialist care, diagnosis of confirmed FH in specialist care; and feasibility of collecting relevant outcome measures for a future trial.

resultsOf 173 general practices, 18 were interested in participating and 6 were recruited. From 831 eligible patients, 127 (15.3%) were recruited and completed family history questionnaires: 86 (10.7%) through postal invitation and 41 (4.9%) opportunistically. Among the 127 patients, 32 (25.6%) had a possible diagnosis of FH in primary care. Within 6 months of completing recruitment, 7 patients had had specialist assessment confirming 2 patients with definite FH (28.6%), and 5 patients with possible FH (71.4%). Potential trial outcome measures for lipid tests, statin prescribing and secondary causes of hypercholesterolaemia were extracted using automated data extraction from electronic records alone without recourse to other methods.

conclusionsThe intervention is feasible to implement in GP, and facilitates recruitment of patients with raised cholesterol for targeted assessment and identification of FH. Extracting data directly from electronic records could be used to evaluate relevant outcome measures in a future trial.

Indexed as

Electronic Health RecordsPatient SelectionProgram DevelopmentAgedCholesterol, LDLFeasibility StudiesFemaleGeneral PracticeHumansHyperlipoproteinemia Type IIMaleMiddle AgedOutcome and Process Assessment, Health CarePostal ServicePrimary Health CareReferral and ConsultationCholesterol, LDLGENETICSPRIMARY CARE

Identifiers

PMID27231005
PMCPMC4885432

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Registered trials

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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.