Evidence map›Paper›PMID 31544164›Full record

ArticleBMJ open quality2019

Improving medication optimisation in left ventricular systolic dysfunction after acute myocardial infarction.

Paul Forsyth, Lynsey Moir, Iain Speirits, Steve McGlynn, Margaret Ryan, Anne Watson, Fiona Reid, Christopher Rush, Clare Murphy

Open access · goldAbstract read
In one paragraph

Article in BMJ open quality, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 19 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

9 authors at 3 institutions in 1 country.

Paul ForsythPharmacy Services, NHS Greater Glasgow and Clyde, Glasgow, UK.ORCID 0000-0003-3804-6795
Lynsey MoirPharmacy Services, NHS Greater Glasgow and Clyde, Glasgow, UK.
Iain SpeiritsPharmacy Services, NHS Greater Glasgow and Clyde, Glasgow, UK.
Steve McGlynnPharmacy Services, NHS Greater Glasgow and Clyde, Glasgow, UK.
Margaret RyanPharmacy Services, NHS Greater Glasgow and Clyde, Glasgow, UK.
Anne WatsonPharmacy, NHS Education for Scotland, Glasgow, UK.
Fiona ReidPharmacy, NHS Education for Scotland, Glasgow, UK.
Christopher RushCardiology, Royal Alexandra Hospital, Paisley, Renfrewshire, UK.
Clare MurphyCardiology, Royal Alexandra Hospital, Paisley, Renfrewshire, UK.
NHS Greater Glasgow and Clyde · GBNHS Education for Scotland · GBRoyal Alexandra Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glasgow city has the highest cardiovascular disease (CVD) mortality rate in the UK. Patients with left ventricular systolic dysfunction after acute myocardial infarction represent a 'high-risk' cohort for adverse CVD outcomes. The optimisation of secondary prevention medication in this group is often suboptimal. Our aim was to improve the use and target dosing of ACE inhibitors (ACEI), angiotensin II receptor blockers (ARBs) and beta-blockers in such patients, through pharmacist-led clinics and cardiology multidisciplinary team collaboration. Retrospective audits characterised baseline care. Prospective pharmacist-led clinics were piloted and rolled out across seven hospitals and primary care localities over four Plan-Do-Study-Act cycles. 'Hub' and 'spoke' clinics utilised independent prescribing pharmacists with different levels of cardiology experience. Pharmacists were trained through a bespoke training programme-

Indexed as

Evidence-Based MedicineMultidisciplinary TeamPharmacistProfessional DevelopmentQuality Improvement

Identifiers

PMID31544164
PMCPMC6730630
OpenAlexW2970964299

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.