Skip to main content
Log in

A Systematic Review of Economic Evaluations of Pharmacogenetic Testing for Prevention of Adverse Drug Reactions

  • Systematic Review
  • Published:
PharmacoEconomics Aims and scope Submit manuscript

Abstract

Background

Pharmacogenetics offers the potential to improve health outcomes by identifying individuals who are at greater risk of harm from certain medicines. Routine adoption of pharmacogenetic tests requires evidence of their cost effectiveness.

Objective

The present review aims to systematically review published economic evaluations of pharmacogenetic tests that aim to prevent or reduce the incidence of ADRs.

Methods

We conducted a systematic literature review of economic evaluations of pharmacogenetic tests aimed to reduce the incidence of adverse drug reactions. Literature was searched using Embase, MEDLINE and the NHS Economic Evaluation Database with search terms relating to pharmacogenetic testing, adverse drug reactions, economic evaluations and pharmaceuticals. Titles were screened independently by two reviewers. Articles deemed to meet the inclusion criteria were screened independently on abstract, and full texts reviewed.

Results

We identified 852 articles, of which 47 met the inclusion criteria. There was evidence supporting the cost effectiveness of testing for HLA-B*57:01 (prior to abacavir), HLA-B*15:02 and HLA-A*31:01 (prior to carbamazepine), HLA-B*58:01 (prior to allopurinol) and CYP2C19 (prior to clopidogrel treatment). Economic evidence was inconclusive with respect to TPMT (prior to 6-mercaptoputine, azathioprine and cisplatin therapy), CYP2C9 and VKORC1 (to inform genotype-guided dosing of coumarin derivatives), MTHFR (prior to methotrexate treatment) and factor V Leiden testing (prior to oral contraception). Testing for A1555G is not cost effective before prescribing aminoglycosides.

Conclusions

Our systematic review identified robust evidence of the cost effectiveness of genotyping prior to treatment with a number of common drugs. However, further analyses and (or) availability of robust clinical evidence is necessary to make recommendations for others.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. Davies EC, Green CF, Taylor S, Williamson PR, Mottram DR, Pirmohamed M. Adverse drug reactions in hospital in-patients: a prospective analysis of 3695 patient-episodes. PLoS One. 2009;4:e4439.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Pirmohamed M, James S, Meakin S, Green C, Scott AK, Walley T, et al. Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients. BMJ. 2004;329:15–9.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Lazarou J, Pomeranz BH, Corey PN. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. JAMA. 1998;279:1200–5.

    Article  CAS  PubMed  Google Scholar 

  4. Ingelman-Sundberg M. Pharmacogenetics of cytochrome P450 and its applications in drug therapy: the past, present and future. Trends Pharmacol Sci. 2004;25:193–200.

    Article  CAS  PubMed  Google Scholar 

  5. Pirmohamed M. Personalized pharmacogenomics: predicting efficacy and adverse drug reactions. Annu Rev Genomics Hum Genet. 2014;15:349–70.

    Article  CAS  PubMed  Google Scholar 

  6. Drug label annotations. https://www.pharmgkb.org/view/drug-labels.do. Acessed 24 July 2015.

  7. Yip VL, Alfirevic A, Pirmohamed M. Genetics of immune-mediated adverse drug reactions: a comprehensive and clinical review. Clin Rev Allergy Immunol. 2015;48(2–3):165–75.

    Article  CAS  PubMed  Google Scholar 

  8. Cargnin S, Jommi C, Canonico PL, Genazzani AA, Terrazzino S. Diagnostic accuracy of HLA-B*57:01 screening for the prediction of abacavir hypersensitivity and clinical utility of the test: a meta-analytic review. Pharmacogenomics. 2014;15(7):963–76.

    Article  CAS  PubMed  Google Scholar 

  9. Mallal S, Phillips E, Carosi G, Molina J-M, Workman C, Tomazic J, et al. HLA-B*5701 screening for hypersensitivity reaction. N Engl J Med. 2008;358:568–79.

    Article  PubMed  Google Scholar 

  10. Hughes DA, Vilar FJ, Ward CC, Alfirevic A, Park BK, Pirohamed M. Cost-effectiveness analysis of HLA B*5701 genotyping in preventing abacavir hypersensitivity. Pharmacogenetics. 2004;14:335–42.

    Article  PubMed  Google Scholar 

  11. Schackman BR, Scott CA, Walensky RP, Losina E, Freedberg KA, Sax PE. The cost-effectiveness of HLA-B*5701 genetic screening to guide initial antiretroviral therapy for HIV. AIDS. 2008;22:2025–33.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Pirmohamed M, Hughes DA. Pharmacogenetic tests: the need for a level playing field. Nat Rev Drug Discov. 2013;12:3–4.

    Article  CAS  PubMed  Google Scholar 

  13. Phillips KA, van Bebber SL. A systematic review of cost-effectiveness analyses of pharmacogenomic interventions. Pharmacogenomics. 2004;5(8):1139–49.

    Article  PubMed  Google Scholar 

  14. Beaulieu M, de Denus S, Lachaine J. Systematic review of pharmacoeconomic studies of pharmacogenomic tests. Pharmacogenomics. 2010;11(11):1573–90.

    Article  CAS  PubMed  Google Scholar 

  15. Verhoed TI, Redekop WK, Darba J, Geitona M, Hughes DA, Siebert U, et al. A systematic review of cost-effectiveness analyses of pharmacogenetic-guided dosing in treatment with coumarin derivatives. Pharmacogenomics. 2010;11(7):989–1002.

    Article  Google Scholar 

  16. Compagni A, Bartoli S, Buehrlen B, Fattore G, Ibarreta D, de Mesa EG. Avoiding adverse drug reactions by pharmacogenetic testing: a systematic review of the economic evidence in the case of TPMT and AZA-induced side effects. Int J Technol Assess Health Care. 2008;24(3):294–302.

    Article  PubMed  Google Scholar 

  17. Systematic Reviews CRD’s guidance for undertaking reviews in healthcare. https://www.york.ac.uk/media/crd/Systematic_Reviews.pdf. Accessed 27 Aug 2015.

  18. Moher D, Liberati A, Tetzlaff J. Altman DG; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ. 2009;339:b2535.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Husereau D, Drummond M, Petrou S. ISPOR Health Economic Evaluation Publication Guidelines-CHEERS Good Reporting Practices Task Force Consolidated Health Economic Evaluation Reporting Standards (CHEERS)—explanation and elaboration: a report of the ISPOR Health Economic Evaluation Publication Guidelines Good Reporting Practices Task Force. Value Health. 2013;16:231–50.

    Article  PubMed  Google Scholar 

  20. Kauf TL, Farkouh RA, Earnshaw SR, Watson ME, Maroudas P, Chambers MG. Economic efficiency of genetic screening to inform the use of abacavir sulfate in the treatment of HIV. Pharmacoeconomics. 2010;28(11):1025–38.

    Article  PubMed  Google Scholar 

  21. Wolf W, Blankenburg M, Bogner JR, Becker W, Gorriahn D, Mueller MC, et al. Cost impact of prospective HLA-B*5701-screening prior to abacavir/lamivudine fixed dose combination use in Germany. Eur J Med Res. 2010;15(4):145–51.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Calatravaa DN, de la Calle-Martín Ó, Iribarren-Loyartec JA, Rivero-Románd A, García-Bujalancee L, Pérez-Escolanoe I, Brosa-Riestra M. Cost-effectiveness analysis of HLA-B*5701 typing in the prevention of hypersensitivity to abacavir in HIV + patients in Spain. Enferm Infecc Microbiol Clin. 2010;28(9):590–5.

    Article  Google Scholar 

  23. Kapoor R, Martinez-Vega R, Dong D, Tan SY, Leo YS, Lee CC, et al. Reducing hypersensitivity reactions with HLA-B*5701 genotyping before abacavir prescription: clinically useful but is it cost-effective in Singapore? Pharmacogenet Genomics. 2015;25:60–72.

    Article  CAS  PubMed  Google Scholar 

  24. Donnan JR, Ungar WJ, Mathews M, Hancock-Howard RL, Rahman P. A cost effectiveness analysis of thiopurine methyltransferase testing for guiding 6-mercaptopurine dosing in children with acute lymphoblastic leukemia. Pediatr Blood Cancer. 2011;57(2):231–9.

    Article  PubMed  Google Scholar 

  25. Dubinsky MC, Reyes E, Ofman J, Chiou CF, Wade S, Sandborn WJ. A cost-effectiveness analysis of alternative disease management strategies in patients with Crohn’s disease treated with azathioprine or 6-mercaptopurine. Am J Gastroenterol. 2005;100(10):2239–47.

    Article  CAS  PubMed  Google Scholar 

  26. Hagaman JT, Kinder BW, Eckman MH. Thiopurine S-methyltransferase [corrected] testing in idiopathic pulmonary fibrosis: a pharmacogenetic cost-effectiveness analysis. Lung. 2010;188(2):125–32.

    Article  PubMed  Google Scholar 

  27. Marra CA, Esdaile JM, Anis AH. Practical pharmacogenetics: the cost effectiveness of screening for thiopurine s-methyltransferase polymorphisms in patients with rheumatological conditions treated with azathioprine. J Rheumatol. 2002;29(12):2507–12.

    PubMed  Google Scholar 

  28. Oh KT, Anis AH, Bae SC. Pharmacoeconomic analysis of thiopurine methyltransferase polymorphism screening by polymerase chain reaction for treatment with azathioprine in Korea. Rheumatology. 2004;43(2):156–63.

    Article  CAS  PubMed  Google Scholar 

  29. Priest VL, Begg EJ, Gardiner SJ, Frampton CM, Gearry RB, Barclay ML, et al. Pharmacoeconomic analyses of azathioprine, methotrexate and prospective pharmacogenetic testing for the management of inflammatory bowel disease. Pharmacoeconomics. 2006;24(8):767–81.

    Article  PubMed  Google Scholar 

  30. Sayani FA, Prosser C, Bailey RJ, Jacobs P, Fedorak RN. Thiopurine methyltransferase enzyme activity determination before treatment of inflammatory bowel disease with azathioprine: effect on cost and adverse events. Can J Gastroenterol. 2005;19(3):147–51.

    Article  PubMed  Google Scholar 

  31. Tavadia SM, Mydlarski PR, Reis MD, Mittmann N, Pinkerton PH, Shear N, et al. Screening for azathioprine toxicity: a pharmacoeconomic analysis based on a target case. J Am Acad Dermatol. 2000;42(4):628–32.

    Article  CAS  PubMed  Google Scholar 

  32. Thompson AJ, Newman WG, Elliott RA, Roberts SA, Tricker K, Payne K. The cost-effectiveness of a pharmacogenetic test: a trial-based evaluation of TPMT genotyping for azathioprine. Value Health. 2014;17(1):22–33.

    Article  PubMed  Google Scholar 

  33. van den Akker-van Marle ME. Gurwitz D, Detmar SB, Enzing CM, Hopkins MM, de Mesa E, Ibarreta DG. Cost-effectiveness of pharmacogenomics in clinical practice: a case study of thiopurine methyltransferase genotyping in acute lymphoblastic leukemia in Europe. Pharmacogenomics. 2006;7(5):783–92.

    Article  PubMed  Google Scholar 

  34. Winter J, Walker A, Shapiro D, Gaffney D, Spooner RJ, Mills PR. Cost-effectiveness of thiopurine methyltransferase genotype screening in patients about to commence azathioprine therapy for treatment of inflammatory bowel disease. Aliment Pharmacol Ther. 2004;20(6):593–9.

    Article  CAS  PubMed  Google Scholar 

  35. Saokaew S, Tassaneeyakul W, Maenthaisong R, Chaiyakunapruk N. Cost-Effectiveness Analysis of HLA-B*5801 Testing in Preventing Allopurinol-Induced SJS/TEN in Thai Population. PLoS One. 2014;9(4):e94294.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Park DJ, Kang JH, Lee JW, Lee KE, Wen L, Kim TJ, et al. Cost-effectiveness analysis of HLA-B5801 genotyping in the treatment of gout patients with chronic renal insufficiency in Korea. Arthritis Care Res (Hoboken). 2015;67(2):280–7.

    Article  Google Scholar 

  37. Dong D, Sung C, Finkelstein EA. Cost-effectiveness of HLA-B*1502 genotyping in adult patients with newly diagnosed epilepsy in Singapore. Neurology. 2012;79(12):1259–67.

    Article  PubMed  Google Scholar 

  38. Rattanavipapong W, Koopitakkajorn T, Praditsitthikorn N, Mahasirimongkol S, Teerawattananon Y. Economic evaluation of HLA-B*15:02 screening for carbamazepine-induced severe adverse drug reactions in Thailand. Epilepsia. 2013;54(9):1628–38.

    Article  CAS  PubMed  Google Scholar 

  39. Tiamkao S, Jitpimolmard J, Sawanyawisuth K, Jitpimolmard S. Cost minimization of HLA-B*1502 screening before prescribing carbamazepine in Thailand. Int J Clin Pharm. 2013;35(4):608–12.

    Article  PubMed  Google Scholar 

  40. Plumpton CO, Yip VLM, Alfirevic A, Marson AG, Pirmohamed M, Hughes DA. Cost effectiveness of screening for HLA-A*31:01 prior to initiation of Carbamazepine in epilepsy. Epilepsia. 2015;56(4):556–63.

    Article  PubMed  Google Scholar 

  41. Gold HT, Hall MJ, Blinder V, Schackman BR. Cost effectiveness of pharmacogenetic testing for uridine diphosphate glucuronosyltransferase 1A1 before irinotecan administration for metastatic colorectal cancer. Cancer. 2009;115(17):3858–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Pichereau S, Louarn A, Lecomte T, Blasco H, Guellec C, Bourgoin H. Cost-effectiveness of UGT1A1*28 genotyping in preventing severe neutropenia following FOLFIRI therapy in colorectal cancer. J Pharm Pharm Sci. 2010;13(4):615–25.

    Article  PubMed  Google Scholar 

  43. Obradovic M, Mrhar A, Kos M. Cost–effectiveness of UGT1A1 genotyping in second-line, high-dose, once every 3 weeks irinotecan monotherapy treatment of colorectal cancer. Pharmacogenomics. 2008;9(5):539–49.

    Article  CAS  PubMed  Google Scholar 

  44. Eckman MH, Rosand J, Greenberg SM, Gage BF. Cost-effectiveness of using pharmacogenetic information in warfarin dosing for patients with nonvalvular atrial fibrillation. Ann Intern Med. 2009;150(2):73–83.

    Article  PubMed  Google Scholar 

  45. Leey JA, McCabe S, Koch JA, Miles TP. Cost-effectiveness of genotype-guided warfarin therapy for anticoagulation in elderly patients with atrial fibrillation. Am J Geriatr Pharmacother. 2009;7(4):197–203.

    Article  PubMed  Google Scholar 

  46. Patrick AR, Avorn J, Choudhry NK. Cost-effectiveness of genotype-guided warfarin dosing for patients with atrial fibrillation. Circ Cardiovasc Qual Outcomes. 2009;2(5):429–36.

    Article  PubMed  Google Scholar 

  47. You JH, Tsui KK, Wong RS, Cheng G. Potential clinical and economic outcomes of CYP2C9 and VKORC1 genotype-guided dosing in patients starting warfarin therapy. Clin Pharmacol Ther. 2009;86(5):540–7.

    Article  CAS  PubMed  Google Scholar 

  48. Pink J, Pirmohamed M, Lane S, Hughes DA. Cost-Effectiveness of Pharmacogenetics-Guided Warfarin Therapy vs. Alternative Anticoagulation in Atrial Fibrillation. Clin Pharmacol Ther. 2014;95(2):199–207.

    Article  CAS  PubMed  Google Scholar 

  49. McWilliam A, Lutter R, Nardinelli C. Healthcare impact of personalized medicine using genetic testing: an exploratory analysis for warfarin. Per Med. 2008;5(3):279–84.

    Article  CAS  Google Scholar 

  50. Schalekamp T, Boink GJJ, Visser LE, Stricker BHCh, de Boer A, Klungel OH. CYP2C9 genotyping in acenocoumarol treatment: is it a cost-effective addition to international normalized ratio monitoring? Clin Pharmacol Ther. 2006;79(6):511–20.

    Article  CAS  PubMed  Google Scholar 

  51. You JHS, Tsui KKN, Wong RSM, Cheng G. Cost-effectiveness of dabigatran versus genotype-guided management of warfarin therapy for stroke prevention in patients with atrial fibrillation. PLoS One. 2012;7(6):e39640.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Meckley LM, Gudgeon JM, Anderson JL, Williams MS, Veenstra DL. A policy model to evaluate the benefits, risks and costs of warfarin pharmacogenomic testing. Pharmacoeconomics. 2010;28(1):61–74.

    Article  PubMed  Google Scholar 

  53. You JH, Chan FW, Wong RS, Cheng G. The potential clinical and economic outcomes of pharmacogenetics-oriented management of warfarin therapy: a decision analysis. Thromb Haemost. 2004;92(3):590–7.

    CAS  PubMed  Google Scholar 

  54. Verhoef TI, Redekop WK, Veenstra DL, Thariani R, Beltman PA, van Schie RMF, de Boer A, Maitland-van der Zee AH and Members of the EU-PACT group. Cost-effectiveness of pharmacogenetic-guided dosing of phenprocoumon in atrial fibrillation. Pharmacogenomics. 2013;14(8):869–83.

    Article  CAS  PubMed  Google Scholar 

  55. Lala A, Berger JS, Sharma G, Hochman JS, Braithwaite RS, Ladapo JA. Genetic testing in patients with acute coronary syndrome undergoing percutaneous coronary intervention: a cost-effectiveness analysis. J Thromb Haemost. 2013;11(1):81–91.

    Article  CAS  PubMed  Google Scholar 

  56. Panattoni L, Brown PM, Te Ao B, Webster M, Gladding P. The cost effectiveness of genetic testing for CYP2C19 variants to guide thienopyridine treatment in patients with acute coronary syndromes: a New Zealand evaluation. Pharmacoeconomics. 2012;30(11):1067–84.

    Article  PubMed  Google Scholar 

  57. Reese ES, Mullins CD, Beitelshees AL, Onukwugha E. Cost-effectiveness of cytochrome P450 2C19 genotype screening for selection of antiplatelet therapy with clopidogrel or prasugrel. Pharmacotherapy. 2012;32(4):323–32.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Sorich MJ, Horowitz JD, Sorich W, Wiese MD, Pekarsky B, Karnon JD. Cost-effectiveness of using CYP2C19 genotype to guide selection of clopidogrel or ticagrelor in Australia. Pharmacogenomics. 2013;14(16):2013–21.

    Article  CAS  PubMed  Google Scholar 

  59. Veenstra DL, Harris J, Gibson RL, Rosenfeld M, Burke W, Watts C. Pharmacogenomic testing to prevent aminoglycoside-induced hearing loss in cystic fibrosis patients: potential impact on clinical, patient, and economic outcomes. Genet Med. 2007;9(10):695–704.

    Article  CAS  PubMed  Google Scholar 

  60. Dionne F, Mitton C, Rassekh R, Brooks B, Ross C, Hayden M, et al. Economic impact of a genetic test for cisplatin-induced ototoxicity. Pharmacogenomics J. 2012;12(3):205–13.

    Article  CAS  PubMed  Google Scholar 

  61. Kim SK, Jun JB, El-Sohemy S, Bae SC. Cost-effectiveness analysis of MTHFR polymorphism screening by polymerase chain reaction in Korean patients with rheumatoid arthritis receiving methotrexate. J Rheumatol. 2006;33(7):1266–74.

    CAS  PubMed  Google Scholar 

  62. Creinin MD, Lisman R, Strickler RC. Screening for factor V Leiden mutation before prescribing combination oral contraceptives. Fertil Steril. 1999;72(4):646–51.

    Article  CAS  PubMed  Google Scholar 

  63. Smith KJ, Monsef BS, Ragni MV. Should female relatives of factor V Leiden carriers be screened prior to oral contraceptive use? A cost-effectiveness analysis. Thromb Haemost. 2008;100(3):447–52.

    CAS  PubMed  Google Scholar 

  64. Olgiati P, Bajo E, Bigelli M, Ronchi D, Serretti A. Should pharmacogenetics be incorporated in major depression treatment? Economic evaluation in high- and middle-income European countries. Prog Neuropsychopharmacol Biol Psychiatry. 2012;36(1):147–54.

    Article  PubMed  Google Scholar 

  65. Chantratita W, Chantarangsu S, Kiertiburanakul S, Sungkanuparph S, Charoenyingwattana A, Mahasirimongkol S. Integrating HIV-1 Pharmacogenomics into the Universal Coverage Health-Care System in Thailand: from scientific evidence to policy. J Pharmacogenom Pharmacoproteomics. 2011;S6:001.

    Google Scholar 

  66. Mallal S, Phillips E, Carosi G, Molina JM, Workman C, Tomazic J, et al. HLA-B*5701 screening for hypersensitivity to abacavir. N Engl J Med. 2008;358(6):568–79.

    Article  PubMed  Google Scholar 

  67. Newman WG, Payne K, Tricker K, Roberts SA, Fargher E, Pushpakom S, et al. A pragmatic randomized controlled trial of thiopurine methyltransferase genotyping prior to azathioprine treatment: the TARGET study. Pharmacogenomics. 2011;12(6):815–26.

    Article  CAS  PubMed  Google Scholar 

  68. Kimmel SE, French B, Kasner SE, Johnson JA, Anderson JL, Gage BF, et al. A pharmacogenetic versus a clinical algorithm for warfarin dosing. N Engl J Med. 2013;369(24):2283–93.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Pirmohamed M, Burnside G, Eriksson N, Jorgensen AL, Toh CH, Nicholson T, et al. A randomized trial of genotype-guided dosing of warfarin. N Engl J Med. 2013;369(24):2294–303.

    Article  CAS  PubMed  Google Scholar 

  70. Roberts JD, Wells GA, Le May MR, Labinaz M, Glover C, Froeschl M, et al. Point-of-care genetic testing for personalisation of antiplatelet treatment (RAPID GENE): a prospective, randomised, proof-of-concept trial. Lancet. 2012;379(9827):1705–11.

    Article  CAS  PubMed  Google Scholar 

  71. Wong WB, Carlson JJ, Thariani R, Veenstra DL. Cost effectiveness of pharmacogenomics: a critical and systematic review. Pharmacoeconomics. 2010;28(11):1001–13.

    Article  PubMed  Google Scholar 

  72. Payne K, Shabaruddin FH. Cost-effectiveness analysis in pharmacogenomics. Pharmacogenomics. 2010;11(5):643–6.

    Article  PubMed  Google Scholar 

  73. Flowers CR, Veenstra D. The role of cost-effectiveness analysis in the era of pharmacogenomics. Pharmacoeconomics. 2004;22(8):481–93.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This report is independent research funded by the National Institute for Health Research Invention for Innovation Programme (A biomarker panel to predict, diagnose and prevent HLA-mediated ADRs; reference number II-LB-0313-20008). The views expressed in this publication are those of the authors and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health. The authors wish to thank Dr Colin Ridyard for acting as a third independent reviewer.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dyfrig A. Hughes.

Ethics declarations

Conflict of interest

CP, DR, MP and DH declare that they have no conflict of interest.

Author Contributions

CP, DR and DH contributed substantially to the conception and design of the work. All authors made contributions to the acquisition, analysis, or interpretation of data. CP drafted the paper, and all authors revised it critically for important intellectual content, and gave their final approval of the version to be published. All authors agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Appendix 1: Search Terms

Appendix 1: Search Terms

Search strategy for Embase and MEDLINE via Ovid

1

(Pharmacogenomic* or pharmacogenetic* or genomic* or genotype* or genetic* or single nucleotide polymorphism* or SNP)

2

(Cost?effective* or cost?utility or cost?benefit or cost?minimization or economic* or pharmacoeconomic*)

3

(Adverse or side?effect* or harm* or ADR? or toxic*)

4

(Drug* or medicine* or medication* or pharmaceutical*)

5

(1 AND 2 AND 3 AND 4).af.

6

5 NOT (editorial or letter or historical article or review or abstract).pt.

7

Limit 6 to English language and human subjects

Search strategy for NHS EED

1

(Pharmacogenomic* or pharmacogenetic* or genomic* or genotype* or genetic* or “single nucleotide polymorphism*” or SNP)

2

(Cost?effective* or cost?utility or cost?benefit or cost?minimization or economic* or pharmacoeconomic*)

3

(Adverse or side?effect* or harm* or ADR? or toxic*)

4

(Drug* or medicine* or medication* or pharmaceutical*)

5

(1 AND 2 AND 3 AND 4)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Plumpton, C.O., Roberts, D., Pirmohamed, M. et al. A Systematic Review of Economic Evaluations of Pharmacogenetic Testing for Prevention of Adverse Drug Reactions. PharmacoEconomics 34, 771–793 (2016). https://doi.org/10.1007/s40273-016-0397-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40273-016-0397-9

Keywords

Navigation