Evidence map›Paper›PMID 40166486›Full record

ArticleAmerican journal of medicine open2025

The Bad Reputation of Digoxin in Atrial Fibrillation-Causality or Bias? Nationwide Nested Case-Control Study.

Anders Holt, Jarl Emanuel Strange, Morten Lock Hansen, Morten Lamberts, Peter Vibe Rasmussen

Abstract read
In one paragraph

Article in American journal of medicine open, 2025. 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

5 authors.

Anders HoltDepartment of Cardiology, Herlev-Gentofte University Hospital, Copenhagen, Denmark.
Jarl Emanuel StrangeDepartment of Cardiology, Herlev-Gentofte University Hospital, Copenhagen, Denmark.
Morten Lock HansenDepartment of Cardiology, Herlev-Gentofte University Hospital, Copenhagen, Denmark.
Morten LambertsDepartment of Cardiology, Herlev-Gentofte University Hospital, Copenhagen, Denmark.
Peter Vibe RasmussenDepartment of Cardiology, Herlev-Gentofte University Hospital, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Studies have reported excess risk of mortality associated with digoxin in atrial fibrillation (AF).This study sought to investigate if these findings could be replicated and whether a potential association could be explained by bias. Methods: Using Danish Nationwide registers, a nested-case control study from 2012 to 2022 was conducted in a cohort of patients with AF. Cases were defined as death of any cause and the exposure was treatment with digoxin compared with beta blockers/verapamil. To investigate bias, additional analyses with negative control outcomes as case definitions-in which we would not expect a plausible association (eg, nursing home admission)-were employed. Associations were reported as hazard ratios (HRs) with 95% confidence intervals (95% CI). Results: A total of 59,748 cases were identified and matched 1:10 with controls (53% men, median age: 84 [IQR: 77-89]). Digoxin was associated with increased rates of mortality in the entire cohort (HR 1.85, 95% CI 1.78-1.92) as well as subgroups such as patients with heart failure (HR 1.84, 95% CI 1.65-2.06), diabetes (HR 1.85, 95% CI 1.6-2.14), and kidney disease (HR 1.37, 95% CI 1.04-1.8). Significant associations with all negative control outcomes were also found, most notably nursing home admissions (HR 1.79, 95% CI 1.67-1.93). Conclusion: Digoxin use was associated with increased mortality in AF. However, negative control outcomes were also associated with digoxin use indicating that the described association between digoxin and mortality is likely not causal and being prescribed digoxin is merely a marker of more advanced disease and frailty.

Indexed as

Atrial fibrillationDigoxinNegative control outcomesPharmacoepidemiologyResidual confounding

Identifiers

PMID40166486
PMCPMC11957803

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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.