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Research ArticleOriginal Research

To Treat or Not to Treat? Effect of Urate-Lowering Therapy on Renal Function, Blood Pressure and Safety in Patients with Asymptomatic Hyperuricemia: A Systematic Review and Network Meta-Analysis

Yu-Yu Tien, Ming-Chieh Shih, Chiao-Pang Tien, Huei-Kai Huang and Yu-Kang Tu
The Journal of the American Board of Family Medicine January 2022, 35 (1) 140-151; DOI: https://doi.org/10.3122/jabfm.2022.01.210273
Yu-Yu Tien
From the Department of Family Medicine, Hsinchu Cathay General Hospital, Hsinchu, Taiwan (YYT); Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan (YYT, MCS, HKH, YKT); Department of Nephrology, Taipei City Hospital, Renai Branch, Taipei, Taiwan (CPT); Department of Family Medicine, Hualian Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan (HKH); Department of Family Medicine, Cathay General Hospital, Taipei, Taiwan (YYT); Department of Dentistry, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan (YKT).
MD, MS
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Ming-Chieh Shih
From the Department of Family Medicine, Hsinchu Cathay General Hospital, Hsinchu, Taiwan (YYT); Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan (YYT, MCS, HKH, YKT); Department of Nephrology, Taipei City Hospital, Renai Branch, Taipei, Taiwan (CPT); Department of Family Medicine, Hualian Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan (HKH); Department of Family Medicine, Cathay General Hospital, Taipei, Taiwan (YYT); Department of Dentistry, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan (YKT).
MD, PhD
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Chiao-Pang Tien
From the Department of Family Medicine, Hsinchu Cathay General Hospital, Hsinchu, Taiwan (YYT); Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan (YYT, MCS, HKH, YKT); Department of Nephrology, Taipei City Hospital, Renai Branch, Taipei, Taiwan (CPT); Department of Family Medicine, Hualian Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan (HKH); Department of Family Medicine, Cathay General Hospital, Taipei, Taiwan (YYT); Department of Dentistry, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan (YKT).
MD
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Huei-Kai Huang
From the Department of Family Medicine, Hsinchu Cathay General Hospital, Hsinchu, Taiwan (YYT); Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan (YYT, MCS, HKH, YKT); Department of Nephrology, Taipei City Hospital, Renai Branch, Taipei, Taiwan (CPT); Department of Family Medicine, Hualian Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan (HKH); Department of Family Medicine, Cathay General Hospital, Taipei, Taiwan (YYT); Department of Dentistry, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan (YKT).
MD
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Yu-Kang Tu
From the Department of Family Medicine, Hsinchu Cathay General Hospital, Hsinchu, Taiwan (YYT); Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan (YYT, MCS, HKH, YKT); Department of Nephrology, Taipei City Hospital, Renai Branch, Taipei, Taiwan (CPT); Department of Family Medicine, Hualian Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan (HKH); Department of Family Medicine, Cathay General Hospital, Taipei, Taiwan (YYT); Department of Dentistry, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan (YKT).
DDS, PhD
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Article Figures & Data

Figures

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  • Figure 1.
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    Figure 1.

    Flowchart of the process to identify eligible studies with reasons for inclusion or exclusion.

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  • Appendix 1.
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    Appendix 1.

    Literature search strategy

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    Appendix 2.

    Data extraction from included trials: Details of secondary outcomes

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    Appendix 3.

    Summary of the risks of bias in every included trial

  • Appendix 4.
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    Appendix 4.

    Network plot for effect of urate-lowering therapy. Each node represents a treatment group, and an edge indicates at least 1 trial comparing the 2 treatments on the ends of the edge. The node size in the network plot is proportional to the number of patients randomized to the treatment group, and the width of an edge is proportional to the number of studies making the pairwise comparison

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    Appendix 5.

    League table of the network meta-analysis comparing the events of secondary outcomes of all drugs, including odds ratios and 95% confidence intervals

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    Result of pairwise meta-analyses of all directly compared interventions Appendix 6.1 Results of pairwise meta-analyses of all directly compared interventions of short-term results. P value is obtained from the Cochrane Q test for heterogeneity.

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    Appendix 6.2

    Results of pairwise meta-analyses of all directly compared interventions of long-term results. P value is obtained from the Cochrane Q test for heterogeneity.

Tables

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    Table 1.

    Overview of Included Studies

    Author/CountryPopulationStudy DesignNo. of Patients(Treatment/Control)Baseline Characteristic* (Treatment/Control)TreatmentComparisonPeriod(weeks)Primary Outcome
    Siu, 2005 China28patients with chronic kidney diseaserandomized controlled trial25/26uric acid (mg/dL): 9.75/5.88 Cr (mg/dL): 1.62/1.86 SBP (mm Hg): 138/135 DBP (mm Hg): 79/71allopurinol, 100 to 300 mg/dayno urate-lowering medical therapy48– stable kidney function with less than 40% increase in serum creatinine level
    – impaired renal function with creatinine level increase greater than 40% of baseline value
    Ogino, 2010 Japan29patients with stable compensated CHFdouble-blind, placebo-controlled, randomized crossover study14/14uric acid (mg/dL): 10.2/10.2Benzbromarone 50 mg/dayplacebo8– the change of BNP levels
    – change in echocardiographic parameters of left ventricle dimensions and LVEF
    Kanbay, 2011 Turkey30patients with normal renal functionrandomized, controlled trial30/37uric acid (mg/dL): 8.3/7.9†,‡ eGFR: 86.3/84.3 SBP (mm Hg):127.6/123.2 DBP (mm Hg): 75.1/75.6allopurinol 300 mg/dayno urate-lowering medical therapy16– endothelial dysfunction
    – BP
    – eGFR
    Liu, 2015 China31patients with type 2 diabetesrandomized open parallel-controlled study88/88uric acid (μmol/L) : 433/432 eGFR: 90.1/90.1SBP (mm Hg): 121/121 DBP (mm Hg): 74/74allopurinol starting from 100 mg/dayno urate-lowering medical therapy144changes in the carotid IMT
    Sircar, 2015 India32eastern India aged 18 to 65 years with CKD stages 3 and 4double-blind, randomized, parallel-group, placebo-controlled study45/48uric acid (mg/dL): 9.0/8.2 eGFR: 31.5/32.6febuxostat 40 mg/dayplacebo24≥10% decline in eGFR from baseline
    Takir, 2015 Turkey33patients without a history of diabetes mellitus, kidney and liver diseaserandomized, controlled trial40/33uric acid (mg/dL): 7.86/7.45 Cr (mg/dL): 0.9/1.07allopurinol 300 mg/dayno urate-lowering medical therapy12improvement in insulin resistance defined by homeostatic model assessment of insulin resistance
    Beddhu, 2016 USA34overweight or obese adults with type 2 diabetic nephropathydouble-blinded randomized controlled trial37/39uric acid (μmol/L): 426/422 eGFR: 52.2/54.8SBP (mm Hg): 125.2/128.3DBP (mm Hg): 68.1/72.0febuxostat 80 mg/dayplacebo24– adipose tissue TBARS and adiponectin concentrations
    – urinary transforming growth factor–β
    Jalal, 2017 USA35≥ 18 years of age with stage 3 CKDdouble-blind, randomized, controlled trial39/41uric acid (mg/dL): 8.3/8.7 eGFR: 41.3/42.4 SBP (mm Hg): 127/130 DBP (mm Hg): 77.4/77.7allopurinol 300 mg/day (200 mg, 100 mg)placebo12change in brachial artery flow-mediated Dilation
    Kimura, 2018 Japan36patients with CKD stage 3randomizeddouble-blind, parallel-group, placebo-controlled trial219/222uric acid (mg/dL): 7.8/7.8eGFR: 45.2/44.9 SBP (mm Hg): 132.5/129.6 DBP (mm Hg): 77.9/77.3febuxostat (10 mg, 20 mg, 40 mg)placebo108eGFR slope
    Mukri, 2018 Malaysia37CKD stage 3 and 4 patients with diabetic nephropathyopen-label, randomized study47/46uric acid (μmol/L): 539.5/537.3 eGFR: 26.2/28.2 SBP (mm Hg): 141/146 DBP (mm Hg): 73.7/71.7febuxostat 40 mg/dayno urate-lowering medical therapy24slowing the eGFR decline
    Kojima, 2019 Japan38elderly patients who had one or more risks for cerebral, cardiovascular, or renal diseaserandomized open-label, blinded endpoint study537/533uric acid (mg/dL): 7.54/7.50 eGFR: 54.62/55.35 SBP (mm Hg): 132.9/132.3 DBP (mm Hg): 73.5/73.6febuxostat (10-40 mg/day)non-febuxostat groupno treatment or allopurinol 100 mg (27.2% patients)144– fatal and non-fatal cerebral, cardiovascular and renal
    – death other than cerebral or cardiorenal vascular disease
    Perrenoud, 2020 USA39patients with CKD stage 3double-blind randomized placebo-controlled study39/41eGFR: 41.4/41.7 SBP (mm Hg): 127/129 DBP (mm Hg): 77/77allopurinol 300 mg/dayplacebo12– change of albumin-creatinine ratio
    – neutrophil gelatinase-associated lipocalin
    – kidney injury molecule 1 transforming growth factor β1
    Tanaka, 2020 Japan40adults with maximum IMT of the CCA ≥ 1.1 mm at screeningrandomized, open-label, blinded-endpoint clinical trial257/257uric acid (mg/dL): 7.76/7.73 eGFR: 56.26/57.12 SBP (mm Hg): 128.9/127.3 DBP (mm Hg): 73.3/74.18febuxostat (10-60 mg/day)no urate-lowering medical therapy96– percentage change from baseline to 24 months in mean IMT of the CCA
    • Abbreviations: BNP, brain natriuretic peptide; BP, blood pressure; CCA, common carotid artery; CHF, chronic heart failure; CKD, chronic kidney disease; CRP, C-reactive protein; CV, cardiovascular; DBP, diastolic blood pressure; DN, diabetic nephropathy; eGFR, estimated Glomerular filtration rate; FMD, Flow-mediated dilation; IMT, intima-media thickness; IL-6, interleukin-6; LVEF, left ventricular ejection fraction; MCP-1, monocyte chemotactic protein-1; Ox-LDL, oxidized low-density lipoprotein; NF-kB, nuclear factor-kappa B; SBP, systemic blood pressure; TBARS, thiobarbituric acid-reducing substances; UAER, urinary albumin excretion rate.

    • ↵* Values are expressed as mean.

    • ↵† The unit of eGFR is mL/min/1.73 m2.

    • ↵‡ Values are expressed as median.

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    Table 2.

    League Table of Random-Effects Network Meta-Analysis for Effect of Urate-Lowering Therapy*

    Serum Uric Acid Level (Short-Term Follow-Up, mg/dL)
    Allopurinol..−2.16 (−3.20 to −1.13)
    0.89 (−1.49 to 3.26)Benzbromarone.−3.05 (−5.19 to −0.91)
    0.55 (−1.03 to 2.13)−0.34 (−2.79 to 2.11)Febuxostat−2.71 (−3.90 to −1.52)
    −2.16† (−3.20 to −1.13)−3.05* (−5.19 to −0.91)−2.71† (−3.90 to −1.52)Placebo
    Serum Uric Acid Level (Long-Term Follow-Up, mg/dL)
    Allopurinol.−3.17 (−5.19 to −1.15)
    −0.55 (−3.97 to 2.88)Febuxostat−2.62 (−5.39 to 0.15)
    −3.17† (−5.19 to −1.15)−2.62 (−5.39 to 0.15)Placebo
    Renal Function (Short-Term Follow-Up, mL/min/1.73 m2)
    Allopurinol.3.07 (0.18 to 5.95)
    2.00 (−2.54 to 6.53)Febuxostat1.07 (−2.43 to 4.57)
    3.07† (0.18 to 5.95)1.07 (−2.43 to 4.57)Placebo
    Renal Function (Long-Term Follow-Up, mL/min/1.73 m2)
    Allopurinol.4.10 (2.66 to 5.54)
    3.70† (1.94 to 5.46)Febuxostat0.40 (−0.60 to 1.40)
    4.10† (2.66 to 5.54)0.40 (−0.60 to 1.40)Placebo
    Systolic Blood Pressure (Short-Term Follow-Up, mm Hg)
    Allopurinol.0.04 (−4.22 to 4.30)
    4.54 (−4.29 to 13.37)Febuxostat−4.50 (−12.23 to 3.23)
    0.04 (−4.22 to 4.30)−4.50 (−12.23 to 3.23)Placebo
    Systolic Blood Pressure (Long-Term Follow-Up, mm Hg)
    Allopurinol.−4.74 (−11.12 to 1.63)
    −3.96 (−10.58 to 2.66)Febuxostat−0.78 (−2.57 to 1.01)
    −4.74 (−11.12 to 1.63)−0.78 (−2.57 to 1.01)Placebo
    Diastolic Blood Pressure (Short-Term Follow-Up, mm Hg)
    Allopurinol.1.58 (−2.31 to 5.48)
    1.48 (−4.06 to 7.03)Febuxostat0.10 (−3.85 to 4.05)
    1.58 (−2.31 to 5.48)0.10 (−3.85 to 4.05)Placebo
    Diastolic Blood Pressure (Long-Term Follow-Up, mm Hg)
    Allopurinol.0.86 (−3.88 to 5.61)
    2.34 (−2.62 to 7.29)Febuxostat−1.47 (−2.90 to −0.04)
    0.86 (−3.88 to 5.61)−1.47† (−2.91 to −0.04)Placebo
    • ↵* Data are shown as mean difference (95% confidence interval).

    • ↵† Difference in treatment effect is statistically significant.

    • View popup
    Table 3.

    P-Score of Different Rankings of Each Treatment Strategy

    SHORT-TERMLONG-TERM
    Serum Uric AcidSerum Uric Acid
    Benzbromarone0.7908Allopurinol0.8108
    Febuxostat0.7146Febuxostat0.6728
    Allopurinol0.4937Placebo0.0164
    Placebo0.0009Renal Function
    Renal FunctionAllopurinol1.0000*
    Allopurinol0.8937Febuxostat0.3912
    Febuxostat0.4598Placebo0.1088
    Placebo0.1465Systolic Blood Pressure
    Systolic Blood PressureAllopurinol0.9035*
    Febuxostat0.8581Febuxostat0.4626
    Allopurinol0.3246Placebo0.1340
    Placebo0.3173Diastolic Blood Pressure
    Diastolic Blood PressureFebuxostat0.9000
    Placebo0.6534Placebo0.3307
    Febuxostat0.5900Allopurinol0.2693
    Allopurinol0.2567
    • ↵* Large value of P-score (eg, >0.90) may reflect that treatment is quite certain to be the most efficacious or safest.

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To Treat or Not to Treat? Effect of Urate-Lowering Therapy on Renal Function, Blood Pressure and Safety in Patients with Asymptomatic Hyperuricemia: A Systematic Review and Network Meta-Analysis
Yu-Yu Tien, Ming-Chieh Shih, Chiao-Pang Tien, Huei-Kai Huang, Yu-Kang Tu
The Journal of the American Board of Family Medicine Jan 2022, 35 (1) 140-151; DOI: 10.3122/jabfm.2022.01.210273

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To Treat or Not to Treat? Effect of Urate-Lowering Therapy on Renal Function, Blood Pressure and Safety in Patients with Asymptomatic Hyperuricemia: A Systematic Review and Network Meta-Analysis
Yu-Yu Tien, Ming-Chieh Shih, Chiao-Pang Tien, Huei-Kai Huang, Yu-Kang Tu
The Journal of the American Board of Family Medicine Jan 2022, 35 (1) 140-151; DOI: 10.3122/jabfm.2022.01.210273
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Keywords

  • Asymptomatic Hyperuricemia
  • Blood Pressure
  • Disease Management
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  • Network Meta-Analysis
  • Serum Uric Acid
  • Systematic Review
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