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Allopurinol to reduce cardiovascular morbidity and mortality: A systematic review and meta-analysis

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  • Karel H van der Pol
  • Kimberley E Wever
  • Mariette Verbakel
  • Frank L J Visseren
  • Jan H Cornel
  • Gerard A Rongen

Abstract

Aims: To compare the effectiveness of allopurinol with no treatment or placebo for the prevention of cardiovascular events in hyperuricemic patients. Methods and results: Pubmed, Web of Science and Cochrane library were searched from inception until July 2020. Randomized controlled trials (RCT) and observational studies in hyperuricemic patients without significant renal disease and treated with allopurinol, versus placebo or no treatment were included. Outcome measures were cardiovascular mortality, myocardial infarction, stroke, or a combined endpoint (CM/MI/S). For RCT’s a random effects meta-analysis was performed. For observational studies a narrative synthesis was performed. Of the original 1995 references we ultimately included 26 RCT’s and 21 observational studies. We found a significantly reduced risk of combined endpoint (Risk Ratio 0.65 [95% CI] [0.46 to 0.91]; p = 0.012) and myocardial infarction (RR 0.47 [0.27 to 0.80]; p = 0.01) in the allopurinol group compared to controls. We found no significant effect of allopurinol on stroke or cardiovascular mortality. Of the 15 observational studies with sufficient quality, allopurinol was associated with reduced cardiovascular mortality in 1 out of 3 studies that reported this outcome, myocardial infarction in 6 out of 8, stroke in 4 out of 7, and combined end-point in 2 out of 2. Cardiovascular benefit was only observed when allopurinol therapy was prolonged for more than 6 months and when an appropriate allopurinol dose was administered (300 mg or more/day) or sufficient reduction of serum urate concentration was achieved (

Suggested Citation

  • Karel H van der Pol & Kimberley E Wever & Mariette Verbakel & Frank L J Visseren & Jan H Cornel & Gerard A Rongen, 2021. "Allopurinol to reduce cardiovascular morbidity and mortality: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-19, December.
  • Handle: RePEc:plo:pone00:0260844
    DOI: 10.1371/journal.pone.0260844
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    1. Wallace, Byron C. & Dahabreh, Issa J. & Trikalinos, Thomas A. & Lau, Joseph & Trow, Paul & Schmid, Christopher H., 2012. "Closing the Gap between Methodologists and End-Users: R as a Computational Back-End," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i05).
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