Evidence map›Paper›PMID 30218425›Full record

ArticleMolecular diagnosis & therapy2018

Value of a Hypothetical Pharmacogenomic Test for the Diagnosis of Statin-Induced Myopathy in Patients at High Cardiovascular Risk.

Dominic Mitchell, Jason R Guertin, Jacques LeLorier

Abstract read
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Article in Molecular diagnosis & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dominic MitchellFaculté de Médecine, Université de Montréal, Montréal, Canada.
Jason R GuertinDépartement de Médecine Sociale et Préventive, Faculté de Médecine, Université Laval, Québec, Canada.
Jacques LeLorierFaculté de Médecine, Université de Montréal, Montréal, Canada. jacques.le.lorier@umontreal.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We recently conducted two economic evaluations of a hypothetical pharmacogenomic test for statin-induced myopathy (SIM) in patients at high cardiovascular risk. Although the models differed in modeling technique and data inputs, both yielded similar results. We believe our approach to assessing the economic value of a diagnostic test was highly advantageous as it characterized the complete range of false-negative and false-positive test outcomes. We used a broad interpretation of test parameters that reflected physician and patient behavioral responses to the test results and accounted for patient adherence to treatment. Both economic evaluations indicated that a highly accurate pharmacogenomic test for SIM would provide a positive incremental net monetary benefit (INMB) for a provincial payer in Canada. However, the value of the test would depend on its ability to accurately diagnose patients when they experience musculoskeletal pain symptoms and guide patients with a test result indicating no SIM to adhere to treatment. Interestingly, our results indicated that a highly inaccurate test would still yield a positive INMB. We found this surprising result was driven by the imbalance of the risk of cardiovascular events outweighing the risk of rhabdomyolysis in patients at high cardiovascular risk. A highly accurate pharmacogenomic test for SIM in patients at high cardiovascular risk would provide economic value for payers. However, the economic and clinical value of the test would depend on the credibility of the test results and their success in influencing patients without SIM to adhere to therapy.

Indexed as

Cost-Benefit AnalysisCanadaCardiovascular DiseasesHumansHydroxymethylglutaryl-CoA Reductase InhibitorsModels, CardiovascularMuscular DiseasesPharmacogeneticsRisk FactorsHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.