HIV type-1 drug resistance in treatment-naive patients monitored using minority species assays: a systematic review and meta-analysis

2011 ◽  
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Ross J Harris ◽  
Deenan Pillay ◽  
Patricia A Cane
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Avelin F. Aghokeng ◽  
Benedicte A. Nkano ◽  
Marie-Laure Chaix ◽  
Martine Peeters, and the AC11/AC12 ANRS Wor

2010 ◽  
Vol 15 (7) ◽  
pp. 985-991 ◽  
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Daniella N Chilton ◽  
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Hannah Castro ◽  
Sam Lattimore ◽  
Linda J Harrison ◽  
...  

2012 ◽  
Vol 28 (7) ◽  
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George A. Alemnji ◽  
Laura T. Eno ◽  
Esther J. Lyonga ◽  
Mbia A Eloundou ◽  
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2020 ◽  
Vol 20 ◽  
pp. 124-130
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Éva Áy ◽  
Viktor Müller ◽  
Mária Mezei ◽  
Ágnes Pocskay ◽  
Anita Koroknai ◽  
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2020 ◽  
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<b>Background: </b>Time-in-range is a key glycaemic metric, and comparisons of management technologies for this outcome are critical to guide device selection. <p><b> </b></p> <p><b>Purpose: </b>We conducted a systematic review and network meta-analysis to compare and rank technologies for time in glycaemic ranges.</p> <p> </p> <p><b>Data sources: </b>We searched All Evidenced Based Medicine Reviews, CINAHL, EMBASE, MEDLINE, MEDLINE In-Process and other non-indexed citations, PROSPERO, PsycINFO, PubMed, and Web of Science until 24 April, 2019.</p> <p> </p> <p><b>Study selection: </b>We included randomised controlled trials <u>></u>2 weeks duration comparing technologies for management of type 1 diabetes in adults (<u>></u>18 years of age), excluding pregnant women. </p> <p> </p> <p><b>Data extraction: </b>Data were extracted using a predefined template. Outcomes were percent time with sensor glucose levels 3.9–10.0mmol/l (70–180mg/dL), >10.0mmol/L (180mg/dL), and <3.9mmol/L (70mg/dL). </p> <p><b> </b></p> <p><b>Data synthesis: </b>We identified 16,772 publications, of which 14 eligible studies compared eight technologies comprising 1,043 participants. Closed loop systems lead to greater percent time-in-range than any other management strategy and was 17.85 (95% predictive interval [PrI] 7.56–28.14) higher than usual care of multiple daily injections with capillary glucose testing. Closed loop systems ranked best for percent time-in-range or above range utilising surface under the cumulative ranking curve (SUCRA–98.5 and 93.5 respectively). Closed loop systems also ranked highly for time below range (SUCRA–62.2). </p> <p><b> </b></p> <p><b>Limitations: </b>Overall risk of bias ratings were moderate for all outcomes. Certainty of evidence was very low.</p> <p><b> </b></p> <p><b>Conclusions: </b>In the first integrated comparison of multiple management strategies considering time-in-range, we found that the efficacy of closed loop systems appeared better than all other approaches. </p>


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