Safety and efficacy of digoxin: systematic review and meta-analysis of observational and controlled trial data
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OBJECTIVE: To clarify the impact of digoxin on death and clinical outcomes across all observational and randomised controlled trials, accounting for study designs and methods. DATA SOURCES AND STUDY SELECTION: Comprehensive literature search of Medline, Embase, the Cochrane Library, reference lists, and ongoing studies according to a prospectively registered design ( PROSPERO: CRD42014010783), including all studies published from 1960 to July 2014 that examined treatment with digoxin compared with control (placebo or no treatment). DATA EXTRACTION AND SYNTHESIS: Unadjusted and adjusted data pooled according to study design, analysis method, and risk of bias. MAIN OUTCOME MEASURES: Primary outcome (all cause mortality) and secondary outcomes (including admission to hospital) were meta-analysed with random effects modelling. RESULTS: 52 studies were systematically reviewed, comprising 621,845 patients. Digoxin users were 2.4 years older than control (weighted difference 95% confidence interval 1.3 to 3.6), with lower ejection fraction (33% v 42%), more diabetes, and greater use of diuretics and anti-arrhythmic drugs. Meta-analysis included 75 study analyses, with a combined total of 4,006,210 patient years of follow-up. Compared with control, the pooled risk ratio for death with digoxin was 1.76 in unadjusted analyses (1.57 to 1.97), 1.61 in adjusted analyses (1.31 to 1.97), 1.18 in propensity matched studies (1.09 to 1.26), and 0.99 in randomised controlled trials (0.93 to 1.05). Meta-regression confirmed that baseline differences between treatment groups had a significant impact on mortality associated with digoxin, including markers of heart failure severity such as use of diuretics (P=0.004). Studies with better methods and lower risk of bias were more likely to report a neutral association of digoxin with mortality (P<0.001). Across all study types, digoxin led to a small but significant reduction in all cause hospital admission (risk ratio 0.92, 0.89 to 0.95; P<0.001; n=29,525). CONCLUSIONS: Digoxin is associated with a neutral effect on mortality in randomised trials and a lower rate of admissions to hospital across all study types. Regardless of statistical analysis, prescription biases limit the value of observational data.
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In a meta-analysis of observational studies, digoxin had a neutral effect on mortality in patients with AF and concomitant heart failure (adjusted HR 0.90, 95% CI 0.70-1.16; propensity-matched RR 1.08, 95% CI 0.93-1.26).
“In a meta-analysis of observational studies, digoxin had a neutral effect on mortality in patients with AF and concomitant heart failure (adjusted observational studies HR 0.90, 95% CI 0.70-1.16;propensity-matched observational studies RR 1.08, 95% CI 0.93-1.26).”
From 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS (2016) · cites this paper as [225]
Lower doses of digoxin (≤ 250 μg once daily), corresponding to serum digoxin levels of 0.5-0.9 ng/mL, may be associated with better prognosis.
“Lower doses of digoxin (≤ 250 µg once daily), corresponding to serum digoxin levels of 0.5-0.9ng/mL, may be associated with better prognosis.225”
From 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS (2016) · cites this paper as [225]
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2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure
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Self-citation2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure
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Self-citation2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS
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Self-citation2016 ESC Guidelines for the Diagnosis and Treatment of Acute and Chronic Heart Failure
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2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS
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2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Atrial Fibrillation
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McMurray, J. J. V., DeMets, D. L., Inzucchi, S. E., Køber, L., Kosiborod, M. N., Langkilde, A. M., Martinez, F. A., Bengtsson, O., Ponikowski, P., Sabatine, M. S., et al. (2019) · European Journal of Heart Failure · doi:10.1002/ejhf.1548 · Cited by 222 · see citing works
Clinical Use of Digitalis: A State of the Art Review
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- Authors
- Ziff, O. J., Lane, D. A., Samra, M., Griffith, M., Kirchhof, P., Lip, G. Y. H., Steeds, R. P., Townend, J., & Kotecha, D.
- Affiliations
- Royal Free London NHS Foundation Trust (GB)
- Sandwell & West Birmingham Hospitals NHS Trust (GB)
- University Hospitals Birmingham NHS Foundation Trust (GB)
- Corresponding author
- Kotecha, Dipak
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2015-08-30
- Volume
- 351
- Pages
- h4451
- ISSN
- 1756-1833 (ISSN-L)
- PMC
- PMC4553205
- OpenAlex
- W2160601239
- Cited by
- 341
- References
- 134
- Citations by year
- 2026: 14 · 2025: 25 · 2024: 29 · 2023: 35 · 2022: 28 · 2021: 40 · 2020: 35 · 2019: 27 · 2018: 33 · 2017: 34 · 2016: 31 · 2015: 9
- FWCI
- 6.15
- Type
- journal article
- Language
- en
- Update notices
- correction (2015-09-15)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- BMJ (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- University of Birmingham Research Portal (University of Birmingham) (acceptedVersion, cc-by-nc)
- Funders
- National Institute for Health and Care Research (CL-2012-09-001)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
- Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
- Keywords
- digoxin, all-cause mortality, hospitalization, heart failure, diuretics, risk of bias, propensity score matching, observational studies, randomized controlled trials, baseline differences, heart failure severity, antiarrhythmic drugs, ejection fraction, diabetes mellitus, treatment efficacy and safety, meta-regression
- MeSH terms
- Atrial Fibrillation, Cardiotonic Agents, Digoxin, Heart Failure, Hospitalization, Humans, Treatment Outcome, Outcome Assessment, Health Care
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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