Evidence map›Paper›PMID 35165736›Full record

ArticleJournal of public health (Oxford, England)2023

Variations in documentation of atrial fibrillation predicted by population and service level characteristics in primary health care in England.

Ash Routen, Sophia Abner, Louis S Levene, Clare L L Gillies, Melanie Davies, Samuel Seidu, G André Ng, Kamlesh Khunti

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Ash RoutenDiabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.ORCID 0000-0001-5651-4228
Sophia Abner
Louis S LeveneDiabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.ORCID 0000-0002-7092-8117
Clare L L GilliesDiabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.
Melanie DaviesDiabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.
Samuel SeiduDiabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.
G André NgNational Institute for Health Research Leicester Biomedical Research Centre, Leicester, UK.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.

Funding

British Heart Foundation PG/18/33/33780Department of Health
6 · The paper itself

Abstract

backgroundIdentifying features associated with atrial fibrillation (AF) documentation could inform screening. This study used published data to describe differences in documented and estimated AF prevalence in general practices, and explored predictors of variations in AF prevalence.

methodsCross-sectional study of 7318 general practices in England. Descriptive and inferential statistics were undertaken. Multiple linear regression was used to model the difference between estimated AF and documented AF, adjusted for population, practice and practice performance variables.

resultsDocumented AF prevalence was lower than estimated (- 0.55% 95% confidence intervals, -1.89, 2.99). The proportion of variability accounted for in the final regression model was 0.25. Factors positively associated with AF documentation (increase in difference between estimated and documented), were patients 65-74 years, 75 years +, Black or South Asian ethnicity, diabetes mellitus and practices in East and Midlands of England. Eight variables (female patients, deprivation score, heart failure and peripheral artery disease, total patients per practice, full-time GPs and nurses; and location in South of England) were negatively associated with AF documentation (reduction in difference).

conclusionVariations in AF documentation were predicted by several practice and population characteristics. Screening could target these sources of variation to decrease variation and improve AF documentation.

Indexed as

Atrial FibrillationGeneral PracticeCross-Sectional StudiesEnglandFemaleHumansPrimary Health Careatrial fibrillationgeneral practiceprimary carescreening

Identifiers

PMID35165736
PMCPMC10017082

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.