Evidence map›Paper›PMID 38333403›Full record

ArticleJournal of arrhythmia2024

Polypharmacy in atrial fibrillation: A prospective analysis of mortality and ischemic stroke using the Clinical Practice Research Datalink.

Natasha Slater, Simon White, Martin Frisher

Open access · goldAbstract read
In one paragraph

Article in Journal of arrhythmia, 2024. 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
1.7field-weighted citation impact, top 9% 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, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

Natasha SlaterSchool of Pharmacy and Bioengineering Keele University Staffordshire UK.ORCID https://orcid.org/0000-0002-7000-1995
Simon WhiteSchool of Pharmacy and Bioengineering Keele University Staffordshire UK.ORCID https://orcid.org/0000-0003-0096-251X
Martin FrisherSchool of Pharmacy and Bioengineering Keele University Staffordshire UK.ORCID https://orcid.org/0000-0002-4819-2270
Keele University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Observational studies of polypharmacy and the risk of death or stroke in individuals with atrial fibrillation (AF) have produced inconsistent findings. By using propensity score matching (PSM) and Cox regression, this study aimed to determine whether polypharmacy (five to nine medicines) in the 3 months following AF diagnosis, is associated with an increased risk of death or ischemic stroke, compared to non-polypharmacy (one to four medicines). Methods: A prospective cohort study using data from the Clinical Practice Research Datalink (2006-2019). Data from 23 629 individuals with AF were analyzed. Cox regression models were adjusted for age, gender, morbidities, obesity, alcohol, smoking, and wealth. In the PSM models, cases and controls with near identical health profiles were selected from the study pool. The risk of death and stroke were presented as hazard ratios (HRs) with 95% confidence intervals (CIs). Results: 68.9% ( Conclusion: Polypharmacy was associated with an increased risk of death during follow-up, but not ischemic stroke, in individuals with AF. The effects of comorbidity and other confounding factors were reduced by using PSM. This study focused on the overall medication burden; however, further research is needed to identify which specific medications in polypharmacy regimens increase the risk of mortality in AF. These findings could inform prescribing practices in the future.

Indexed as

atrial fibrillationCPRDischemic strokemortalitypolypharmacy

Identifiers

PMID38333403
PMCPMC10848617
OpenAlexW4389037807

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.