Evidence map›Paper›PMID 33558331›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2021

Factors predicting statin prescribing for primary prevention: a historical cohort study.

Samuel Finnikin, Brian H Willis, Ronan Ryan, Tim Evans, Tom Marshall

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Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Samuel FinnikinInstitute of Applied Health Research, University of Birmingham, Birmingham.
Brian H WillisInstitute of Applied Health Research, University of Birmingham, Birmingham.
Ronan RyanPublic Health England, London.
Tim EvansPublic Health England, London.
Tom MarshallInstitute of Applied Health Research, University of Birmingham, Birmingham.
University of Birmingham · GBPublic Health England · GB

Funding

Medical Research Council G0701649Medical Research Council MR/N007999/1
6 · The paper itself

Abstract

backgroundInitiation of statins for the primary prevention of cardiovascular disease (CVD) should be based on CVD risk estimates, but their use is suboptimal.

aimTo investigate the factors influencing statin prescribing when clinicians code and do not code estimated CVD risk (QRISK2). DESIGN AND

settingA historical cohort of patients who had lipid tests in a database (IQVIA Medical Research Data) of UK primary care records.

methodThe cohort comprised 686 560 entries (lipid test results) between 2012 and 2016 from 383 416 statin-naive patients without previous CVD. Coded QRISK2 scores were extracted, with variables used in calculating QRISK2 and factors that might influence statin prescribing. If a QRISK2 score was not coded, it was calculated post hoc. The outcome was initiation of a statin within 60 days of the lipid test result.

resultsOf the entries, 146 693 (21.4%) had a coded QRISK2 score. Statins were initiated in 6.6% (95% confidence interval [CI] = 6.4% to 6.7%) of those with coded and 4.1% (95% CI = 4.0% to 4.1%) of uncoded QRISK2 (

conclusionWhen a QRISK2 score is coded, prescribing is more consistent with guidelines. With no QRISK2 score, prescribing is mainly based on total cholesterol. Using QRISK2 is associated with statin prescribing that is more likely to benefit patients. Promoting the routine CVD risk estimation is essential to optimise decision making.

Indexed as

Cardiovascular DiseasesHydroxymethylglutaryl-CoA Reductase InhibitorsCohort StudiesHumansPrimary PreventionRisk FactorsHydroxymethylglutaryl-CoA Reductase Inhibitorscardiovascular diseasescholesteroldecision making, sharedgeneral practicehydroxymethylglutaryl-CoA reductase inhibitorsrisk assessment

Identifiers

PMID33558331
PMCPMC7888748
OpenAlexW3110973422

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.