Literature DB >> 23769128

The "linked evidence approach" to assess medical tests: a critical analysis.

Tracy Merlin1, Samuel Lehman, Janet E Hiller, Philip Ryan.   

Abstract

OBJECTIVES: A linked evidence approach (LEA) is the synthesis of systematically acquired evidence on the accuracy of a medical test, its impact on clinical decision making and the effectiveness of consequent treatment options. We aimed to assess the practical utility of this methodology and to develop a decision framework to guide its use.
METHODS: As Australia has lengthy experience with LEA, we reviewed health technology assessment (HTA) reports informing reimbursement decisions by the Medical Services Advisory Committee (August 2005 to March 2012). Eligibility was determined according to predetermined criteria and data were extracted on test characteristics, evaluation methodologies, and reported difficulties. Fifty percent of the evidence-base was independently analyzed by a second reviewer.
RESULTS: Evaluations of medical tests for diagnostic (62 percent), staging (27 percent), and screening (6 percent) purposes were available for eighty-nine different clinical indications. Ninety-six percent of the evaluations used either the full LEA methodology or an abridged version (where evidence is linked through to management changes but not patient outcomes). Sixty-one percent had the full evidence linkage. Twenty-five percent of test evaluations were considered problematic; all involving LEA (n = 22). Problems included: determining test accuracy with an imperfect reference standard (41 percent); assessing likely treatment effectiveness in test positive patients when the new test is more accurate than the comparator (18 percent); and determining probable health benefits in those symptomatic patients ruled out using the test (13 percent). A decision framework was formulated to address these problems.
CONCLUSIONS: LEA is useful for evaluating medical tests but a stepped approach should be followed to determine what evidence is required for the synthesis.

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Year:  2013        PMID: 23769128     DOI: 10.1017/S0266462313000287

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  13 in total

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2.  Practice-based evidence for the clinical benefit of PET/CT-results of the first oncologic PET/CT registry in Germany.

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Review 3.  Comparative diagnostic accuracy of hepatocyte-specific gadoxetic acid (Gd-EOB-DTPA) enhanced MR imaging and contrast enhanced CT for the detection of liver metastases: a systematic review and meta-analysis.

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4.  Prenatal genetic testing for cystic fibrosis: a systematic review of clinical effectiveness and an ethics review.

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Review 5.  Depression and Anxiety Outcomes Associated with Failed Assisted Reproductive Technologies: A Systematic Review and Meta-Analysis.

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Review 6.  Evidence synthesis to inform model-based cost-effectiveness evaluations of diagnostic tests: a methodological review of health technology assessments.

Authors:  Bethany Shinkins; Yaling Yang; Lucy Abel; Thomas R Fanshawe
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7.  Establishing Clinical Utility for Diagnostic Tests Using a Randomized Controlled, Virtual Patient Trial Design.

Authors:  John Peabody; Mary Tran; David Paculdo; Czarlota Valdenor; Trever Burgon; Elaine Jeter
Journal:  Diagnostics (Basel)       Date:  2019-06-29

8.  Targeted antenatal anti-D prophylaxis for RhD-negative pregnant women: a systematic review.

Authors:  Britta Runkel; Gregor Bein; Wiebke Sieben; Dorothea Sow; Stephanie Polus; Daniel Fleer
Journal:  BMC Pregnancy Childbirth       Date:  2020-02-07       Impact factor: 3.007

9.  Evaluating the interstitial lung disease multidisciplinary meeting: a survey of expert centres.

Authors:  Helen E Jo; Tamera J Corte; Yuben Moodley; Kovi Levin; Glen Westall; Peter Hopkins; Daniel Chambers; Ian Glaspole
Journal:  BMC Pulm Med       Date:  2016-02-01       Impact factor: 3.317

10.  Impact of the "Linked Evidence Approach" Method on Policies to Publicly Fund Diagnostic, Staging, and Screening Medical Tests.

Authors:  Tracy L Merlin; Janet E Hiller; Philip Ryan
Journal:  MDM Policy Pract       Date:  2016-10-06
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