Background: In systematic reviews and meta-analyses, time-to-event outcomes are most appropriately analysed using hazard ratios (HRs). In the absence of individual patient data (IPD), methods are available to obtain HRs and/or associated statistics by carefully manipulating published or other summary data. Awareness and adoption of these methods is somewhat limited, perhaps because they are published in the statistical literature using statistical notation. Methods: This paper aims to 'translate' the methods for estimating a HR and associated statistics from published time-to-event-analyses into less statistical and more practical guidance and provide a corresponding, easy-to-use calculations spreadsheet, to facilitate the computational aspects. Results: A wider audience should be able to understand published time-to-event data in individual trial reports and use it more appropriately in meta-analysis. When faced with particular circumstances, readers can refer to the relevant sections of the paper. The spreadsheet can be used to assist them in carrying out the calculations. Conclusion: The methods cannot circumvent the potential biases associated with relying on published data for systematic reviews and meta-analysis. However, this practical guide should improve the quality of the analysis and subsequent interpretation of systematic reviews and meta-analyses that include time-to-event outcomes.
机构:
Sichuan Univ, West China Hosp, Lab Mol Diag Canc, Chengdu 610064, Peoples R China
Sichuan Univ, West China Hosp, State Key Lab Biotherapy, Chengdu 610064, Peoples R ChinaSichuan Univ, West China Hosp, Lab Mol Diag Canc, Chengdu 610064, Peoples R China
Wang, Yu
Zeng, Tingting
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Adverse Drug React Monitoring Ctr Chengdu, Chengdu, Peoples R ChinaSichuan Univ, West China Hosp, Lab Mol Diag Canc, Chengdu 610064, Peoples R China
机构:
University College London,MRC Clinical Trials Unit, Medical Research Council Clinical Trials UnitUniversity College London,MRC Clinical Trials Unit, Medical Research Council Clinical Trials Unit
Jayne F. Tierney
Sarah Burdett
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University College London,MRC Clinical Trials Unit, Medical Research Council Clinical Trials UnitUniversity College London,MRC Clinical Trials Unit, Medical Research Council Clinical Trials Unit
Sarah Burdett
David J. Fisher
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University College London,MRC Clinical Trials Unit, Medical Research Council Clinical Trials UnitUniversity College London,MRC Clinical Trials Unit, Medical Research Council Clinical Trials Unit
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Univ York, Ctr Reviews & Disseminat, York YO10 5DD, N Yorkshire, EnglandUniv York, Ctr Reviews & Disseminat, York YO10 5DD, N Yorkshire, England
Simmonds, Mark C.
Tierney, Jayne
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MRC, Clin Trials Unit, London, EnglandUniv York, Ctr Reviews & Disseminat, York YO10 5DD, N Yorkshire, England
Tierney, Jayne
Bowden, Jack
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MRC, Clin Trials Unit, London, England
MRC, Biostat Unit, Cambridge CB2 2BW, EnglandUniv York, Ctr Reviews & Disseminat, York YO10 5DD, N Yorkshire, England
Bowden, Jack
Higgins, Julian P. T.
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MRC, Biostat Unit, Cambridge CB2 2BW, EnglandUniv York, Ctr Reviews & Disseminat, York YO10 5DD, N Yorkshire, England
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Univ Liverpool, Div Stat & Operat Res, Dept Math Sci, Liverpool L69 3BX, Merseyside, EnglandUniv Liverpool, Div Stat & Operat Res, Dept Math Sci, Liverpool L69 3BX, Merseyside, England
Tudur, C
Williamson, PR
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机构:Univ Liverpool, Div Stat & Operat Res, Dept Math Sci, Liverpool L69 3BX, Merseyside, England
Williamson, PR
Khan, S
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机构:Univ Liverpool, Div Stat & Operat Res, Dept Math Sci, Liverpool L69 3BX, Merseyside, England
Khan, S
Best, LY
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机构:Univ Liverpool, Div Stat & Operat Res, Dept Math Sci, Liverpool L69 3BX, Merseyside, England