Abstract:
OBJECTIVES:To evaluate how the rank probabilities obtained from network meta-analysis (NMA) change with the use of increasingly stringent criteria for the relative effect comparing two treatments which ranks one treatment better than the other. STUDY DESIGN AND SETTING:Systematic survey and reanalysis of published data. We included all systematic reviews (SRs) with NMA from the field of cardiovascular medicine that had trial-level data available, published in Medline up to February 2015. We reran all the NMAs and determined the probabilities of each treatment being the best. For the best treatment, we examined the effect on these probabilities of varying, what we call the decision threshold, the relative effect required to declare two treatments different. RESULTS:We included 14 SRs, having a median of 20 randomized trials and 9 treatments. The best treatments had probabilities of being best that ranged from 38% to 85.3%. The effect of changing the decision thresholds on the probability of a treatment being best varied substantially across reviews, with relatively little decrease (∼20 percentage points) in some settings but a decline to near 0% in others. CONCLUSION:Rank probabilities can be fragile to increases in the decision threshold used to claim that one treatment is more effective than another. Including these thresholds into the calculation of rankings may aid their interpretation and use in clinical practice.
journal_name
J Clin Epidemioljournal_title
Journal of clinical epidemiologyauthors
Brignardello-Petersen R,Johnston BC,Jadad AR,Tomlinson Gdoi
10.1016/j.jclinepi.2018.02.008subject
Has Abstractpub_date
2018-06-01 00:00:00pages
62-69eissn
0895-4356issn
1878-5921pii
S0895-4356(17)30228-7journal_volume
98pub_type
杂志文章abstract:OBJECTIVES:Accurately predicting hospital mortality is necessary to measure and compare patient care. External validation of predictive models is required to truly prove their utility. This study assessed the Kaiser Permanente inpatient risk adjustment methodology for hospital mortality in a patient population distinct...
journal_title:Journal of clinical epidemiology
pub_type: 杂志文章,多中心研究
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abstract:BACKGROUND AND OBJECTIVE:To comprehensively examine comorbidity in unselected cohorts of patients with depression, stroke, multiple sclerosis (MS), Parkinson's disease/parkinsonism (PD/PKM), dementia, migraine, and epilepsy. METHODS:This cross-sectional study used morbidity data recorded by Dutch general practitioners...
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journal_title:Journal of clinical epidemiology
pub_type: 杂志文章,评审
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更新日期:2011-05-01 00:00:00
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doi:10.1016/j.jclinepi.2004.01.019
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journal_title:Journal of clinical epidemiology
pub_type: 传,历史文章,杂志文章
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更新日期:2015-04-01 00:00:00
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journal_title:Journal of clinical epidemiology
pub_type: 杂志文章
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更新日期:2010-01-01 00:00:00
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pub_type: 杂志文章
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更新日期:1996-10-01 00:00:00
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更新日期:2018-11-01 00:00:00
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pub_type: 杂志文章
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pub_type: 临床试验,杂志文章
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更新日期:1988-01-01 00:00:00
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pub_type: 杂志文章
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更新日期:2008-08-01 00:00:00
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journal_title:Journal of clinical epidemiology
pub_type: 杂志文章,评审
doi:10.1016/j.jclinepi.2005.09.005
更新日期:2006-04-01 00:00:00
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pub_type: 杂志文章
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journal_title:Journal of clinical epidemiology
pub_type: 杂志文章
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更新日期:2007-05-01 00:00:00
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journal_title:Journal of clinical epidemiology
pub_type: 杂志文章
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更新日期:2019-10-01 00:00:00
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journal_title:Journal of clinical epidemiology
pub_type: 杂志文章
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更新日期:2012-09-01 00:00:00
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journal_title:Journal of clinical epidemiology
pub_type: 杂志文章
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更新日期:2012-06-01 00:00:00
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pub_type: 杂志文章
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更新日期:2007-06-01 00:00:00
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journal_title:Journal of clinical epidemiology
pub_type: 杂志文章
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更新日期:2002-10-01 00:00:00
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更新日期:2007-08-01 00:00:00