Evidence map›Paper›PMID 39838360›Full record

ArticleBMC medicine2025

Patterns of pharmacological treatment in patients with atrial fibrillation: an analysis from the prospective GLORIA-AF Registry Phase III.

Bernadette Corica, Giulio Francesco Romiti, Giuseppe Boriani, Brian Olshansky, Tze-Fan Chao, Menno V Huisman, Marco Proietti, Gregory Y H Lip, GLORIA-AF Investigators

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Bernadette Corica *Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK.
Giulio Francesco Romiti *Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK.
Giuseppe BorianiCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico Di Modena, Modena, Italy.
Brian OlshanskyDivision of Cardiology, Department of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Tze-Fan ChaoDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Menno V Huisman *Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands.
Marco Proietti *Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
Gregory Y H Lip *Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK. gregory.lip@liverpool.ac.uk.
GLORIA-AF Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolypharmacy (i.e., treatment with ≥ 5 drugs) is common in patients with atrial fibrillation (AF) and has been associated with suboptimal management and worse outcomes. Little is known about how prescribed drug patterns affect management and prognosis in patients with AF.

methodsBased on data from the prospective global GLORIA-AF Registry Phase III (recruiting patients with AF and CHA

resultsAmong 21,245 patients (mean age 70.2 ± 10.3 years, 44.9% females), we identified 6 patterns: i) Low Medicated pattern (18.3%); ii) Hypertension pattern (21.1%); iii) Heart Failure pattern (20.0%); iv) CV Prevention pattern (21.0%); v) Mixed Morbidity pattern (4.5%); and vi) High Medicated pattern (15.0%). All groups had higher odds of OAC use vs the Low Medicated pattern, with highest prevalences in the Heart Failure pattern (OR [95%CI]: 2.17 [1.90-2.48]) and the High Medicated pattern (OR [95%CI]: 2.08 [1.77-2.44]). Over 3-year follow-up, Heart Failure, Mixed Morbidity and High Medicated patterns were associated with higher risk of the primary composite outcome (aHR [95%CI]: 1.32 [1.14-1.53]; 1.45 [1.17-1.80] and 1.35 [1.14-1.60], respectively). Similar results were observed for all-cause mortality.

conclusionsIn patients with AF, different treatment patterns can be identified. Each pattern was associated with unique OAC use and long-term clinical outcomes.

Indexed as

AnticoagulantsAtrial FibrillationAgedAged, 80 and overFemaleHumansMaleMiddle AgedPolypharmacyProspective StudiesRegistriesAnticoagulantsAtrial FibrillationClinical ComplexityComorbiditiesLatent Class AnalysisMultimorbidity

Identifiers

PMID39838360
PMCPMC11753083

What Socratic holds

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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 Socratic graph.