2014
DOI: 10.1007/s40273-013-0128-4
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A Systematic Review of the Quality of Economic Models Comparing Thrombosis Inhibitors in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Abstract: This review identified areas where recommendations are indicated regarding the quality of future ACS decision models. For example, all critical events and relevant treatment options should be included. Models also need to allow for changing event probabilities to correctly reflect ACS and to incorporate appropriate, age-specific utility values and decrements when conducting cost-utility analyses.

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Cited by 5 publications
(3 citation statements)
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“…To date, this is the first systematic review that depicts the characteristics of decision analytical models used in this field and quantitatively assessed the methodological quality with the widely used Philips’ checklist. The methodological quality of the models is comparable with the findings from peers’ studies in other areas as acute coronary syndrome [43] and lower extremity artery disease [44] but still unsatisfying.…”
Section: Discussionsupporting
confidence: 53%
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“…To date, this is the first systematic review that depicts the characteristics of decision analytical models used in this field and quantitatively assessed the methodological quality with the widely used Philips’ checklist. The methodological quality of the models is comparable with the findings from peers’ studies in other areas as acute coronary syndrome [43] and lower extremity artery disease [44] but still unsatisfying.…”
Section: Discussionsupporting
confidence: 53%
“…Although results derived from RCTs are more reliable in quantifying the effect of interventions, observational evidence (e.g., disease registries and administrative claim data) may be more useful in estimating the natural progression of the disease, resource use/cost, and utility data [50]. Moreover, observational data can be used to mitigate against the shortage of RCT data as it might miss interested events or combine the endpoints as outcomes [43]. Published literature is an important aggregate data source for modeling, which was adapted by most of the included studies in this review.…”
Section: Discussionmentioning
confidence: 99%
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