Evidence map›Paper›PMID 36543561›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2023

Anticoagulation in older people with atrial fibrillation moving to care homes: a data linkage study.

Leona A Ritchie, Stephanie L Harrison, Peter E Penson, Ashley Akbari, Fatemeh Torabi, Joe Hollinghurst, Daniel Harris, Oluwakayode B Oke, Asangaedem Akpan, Julian P Halcox and 3 more

Open access · hybridAbstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

13 authors at 3 institutions in 2 countries.

Leona A RitchieLiverpool Centre for Cardiovascular Science, University of Liverpool; Liverpool Heart & Chest Hospital; Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.ORCID 0000-0002-0392-1767
Stephanie L HarrisonLiverpool Centre for Cardiovascular Science, University of Liverpool; Liverpool Heart & Chest Hospital; Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.ORCID 0000-0002-8846-0946
Peter E PensonLiverpool Centre for Cardiovascular Science, University of Liverpool; Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool; School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK.ORCID 0000-0001-6763-1489
Ashley AkbariPopulation Data Science, Health Data Research UK and Population Data Science, Administrative Data Research Wales, Swansea University Medical School, Swansea University, Swansea, UK.ORCID 0000-0003-0814-0801
Fatemeh TorabiPopulation Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, UK.ORCID 0000-0002-5853-4625
Joe HollinghurstPopulation Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, UK.ORCID 0000-0002-3556-2017
Daniel HarrisPopulation Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, UK.ORCID 0000-0003-4885-637X
Oluwakayode B OkeLiverpool Centre for Cardiovascular Science, University of Liverpool; Liverpool Heart & Chest Hospital; Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.ORCID 0000-0003-3964-8667
Asangaedem AkpanMusculoskeletal and Ageing Science, Institute of Life Course & Medical Sciences, University of Liverpool; Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK.ORCID 0000-0002-1764-8669
Julian P HalcoxPopulation Data Science, Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, UK.ORCID 0000-0001-6926-2947
Sarah E RodgersDepartment of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool, Liverpool, UK.ORCID 0000-0002-4483-0845
Gregory Yh LipPrice-Evans chair of cardiovascular medicine, consultant cardiologist, and distinguished professor.ORCID 0000-0002-7566-1626
Deirdre A LaneLiverpool Centre for Cardiovascular Science, University of Liverpool; Liverpool Heart & Chest Hospital; Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK; Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-5604-9378
University of Liverpool · GBSwansea University · GBHealth Data Research UK · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTreatment decisions about oral anticoagulants (OACs) for atrial fibrillation (AF) are complex in older care home residents.

aimTo explore factors associated with OAC prescription. DESIGN AND

settingRetrospective cohort study set in care homes in Wales, UK, listed in the Care Inspectorate Wales Registry 2017/18.

methodAnalysis of anonymised individual-level electronic health and administrative data was carried out on people aged ≥65 years entering a care home between 1 January 2003 and 31 December 2018, provisioned from the Secure Anonymised Information Linkage Databank.

resultsBetween 2003 and 2018, 14 493 people with AF aged ≥65 years became new residents in care homes in Wales and 7057 (48.7%) were prescribed OACs (32.7% in 2003 compared with 72.7% in 2018) within 6 months before care home entry. Increasing age and prescription of antiplatelet therapy were associated with lower odds of OAC prescription (adjusted odds ratio [aOR] 0.96 per 1-year age increase, 95% confidence interval [CI] = 0.95 to 0.96 and aOR 0.91, 95% CI = 0.84 to 0.98, respectively). Conversely, prior venous thromboembolism (aOR 4.06, 95% CI = 3.17 to 5.20), advancing frailty (mild: aOR 4.61, 95% CI = 3.95 to 5.38; moderate: aOR 6.69, 95% CI = 5.74 to 7.80; and severe: aOR 8.42, 95% CI = 7.16 to 9.90), and year of care home entry from 2011 onwards (aOR 1.91, 95% CI = 1.76 to 2.06) were associated with higher odds of an OAC prescription.

conclusionThere has been an increase in OAC prescribing in older people newly admitted to care homes with AF. This study provides an insight into the factors influencing OAC prescribing in this population.

Indexed as

Atrial FibrillationStrokeAdministration, OralAgedAnticoagulantsDrug PrescriptionsHumansInformation Storage and RetrievalRetrospective StudiesRisk FactorsAnticoagulantsanticoagulantsatrial fibrillationlong-term carenursing homespractice patterns, physicians’primary health care

Identifiers

PMID36543561
PMCPMC9799341
OpenAlexW4308949539

What OpenQuestion holds

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LicenceCC BY
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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.