Evidence map›Paper›PMID 33653753›Full record

ArticleBMJ open2021

Temporal trends in heart failure medication prescription in a population-based cohort study.

Alicia Uijl, Ilonca Vaartjes, S Denaxas, Harry Hemingway, Anoop Shah, J Cleland, Diederick Grobbee, Arno Hoes, Folkert W Asselbergs, Stefan Koudstaal

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 8 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

10 authors at 5 institutions in 3 countries.

Alicia UijlJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands a.uijl@umcutrecht.nl.ORCID http://orcid.org/0000-0003-2835-7741
Ilonca VaartjesJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
S DenaxasInstitute of Health Informatics, University College London, London, UK.
Harry HemingwayInstitute of Health Informatics, University College London, London, UK.ORCID http://orcid.org/0000-0003-2279-0624
Anoop ShahInstitute of Health Informatics, University College London, London, UK.
J ClelandRobertson Centre for Biostatistics and Clinical Trials, University of Glasgow, Glasgow, UK.
Diederick GrobbeeJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Arno HoesJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Folkert W AsselbergsInstitute of Health Informatics, University College London, London, UK.
Stefan KoudstaalInstitute of Health Informatics, University College London, London, UK.
Utrecht University · NLHealth Data Research UK · GBImperial College London · GBNational Institute for Health Research · GBThe Alan Turing Institute · GB

Funding

British Heart Foundation AA/18/6/24223Chief Scientist OfficeDepartment of Health 05/40/04Department of Health RP-PG-0407-10314Medical Research Council G0902393Medical Research Council MC_PC_13041Medical Research Council MR/K006584/1Medical Research Council MR/M501633/2Wellcome Trust
6 · The paper itself

Abstract

objectiveWe examined temporal heart failure (HF) prescription patterns in a large representative sample of real-world patients in the UK, using electronic health records (EHR).

methodsFrom primary and secondary care EHR, we identified 85 732 patients with a HF diagnosis between 2002 and 2015. Almost 50% of patients with HF were women and the median age was 79.1 (IQR 70.2-85.7) years, with age at diagnosis increasing over time.

resultsWe found several trends in pharmacological HF management, including increased beta blocker prescriptions over time (29% in 2002-2005 and 54% in 2013-2015), which was not observed for mineralocorticoid receptor-antagonists (MR-antagonists) (18% in 2002-2005 and 18% in 2013-2015); higher prescription rates of loop diuretics in women and elderly patients together with lower prescription rates of angiotensin-converting enzyme inhibitors and/or angiotensin II receptor blockers, beta blockers or MR-antagonists in these patients; little change in medication prescription rates occurred after 6 months of HF diagnosis and, finally, patients hospitalised for HF who had no recorded follow-up in primary care had considerably lower prescription rates compared with patients with a HF diagnosis in primary care with or without HF hospitalisation.

conclusionIn the general population, the use of MR-antagonists for HF remained low and did not change throughout 13 years of follow-up. For most patients, few changes were seen in pharmacological management of HF in the 6 months following diagnosis.

Indexed as

Angiotensin Receptor AntagonistsHeart FailureAdrenergic beta-AntagonistsAgedAngiotensin-Converting Enzyme InhibitorsCohort StudiesFemaleHumansMaleMineralocorticoid Receptor AntagonistsAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsMineralocorticoid Receptor Antagonistscardiac epidemiologyheart failurepublic health

Identifiers

PMID33653753
PMCPMC7929882
OpenAlexW3132390683

What OpenQuestion holds

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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.