Evidence map›Paper›PMID 32498697›Full record

ArticleTrials2020

Cluster randomised trials of prescribing policy: an ethical approach to generating drug safety evidence? A discussion of the ethical application of a new research method.

Amy Rogers, Gillian Craig, Angela Flynn, Isla Mackenzie, Thomas MacDonald, Alexander Doney

Abstract read
In one paragraph

Article in Trials, 2020. 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
–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

3 citing papers in PubMed.

  1. Article
  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.

Amy RogersMEMO Research, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK. arogers@dundee.ac.uk.ORCID http://orcid.org/0000-0001-5207-7032
Gillian CraigHealth and Clinical Services, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK.
Angela FlynnMEMO Research, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK.
Isla MackenzieMEMO Research, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK.
Thomas MacDonaldMEMO Research, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK.
Alexander DoneyMEMO Research, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY, UK.

Funding

Chief Scientist Office CGA/18/36
6 · The paper itself

Abstract

For most chronic medical conditions, multiple medications are available and prescribers often have limited evidence about which therapy is likely to be the most effective and safe for an individual patient. As many patients are exposed every day to medicines that may be less effective than available alternatives, this is of public health importance. Cluster randomised trials of prescribing policy offer an opportunity to rapidly obtain evidence of comparative effectiveness and safety. These trials can pose a low risk to patients and cause minimal disruption to usual care. Despite the potential scientific value of this approach, there remain valid concerns about consent, medication switching and the use of routinely collected data in research. We discuss these concerns with reference to an ongoing pilot study (Evaluating Diuretics in Normal Care (EVIDENCE) - a cluster randomised evaluation of hypertension prescribing policy, ISRCTN 46635087, registered 11 August 2017).

Indexed as

Data CollectionDrug PrescriptionsEthics, ResearchHumansInformed ConsentRandomized Controlled Trials as TopicResearch DesignClinical trialsCluster randomizationComparative effectivenessEthics

Identifiers

PMID32498697
PMCPMC7273660

What OpenQuestion holds

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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.