リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

大学・研究所にある論文を検索できる 「Evidence Synthesis, Practice Guidelines and Real-World Prescriptions of New Generation Antidepressants in the Treatment of Major Depressive Disorder: A Meta-epidemiological Study」の論文概要。リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

コピーが完了しました

URLをコピーしました

論文の公開元へ論文の公開元へ
書き出し

Evidence Synthesis, Practice Guidelines and Real-World Prescriptions of New Generation Antidepressants in the Treatment of Major Depressive Disorder: A Meta-epidemiological Study

Luo, Yan 京都大学 DOI:10.14989/doctor.k23756

2022.03.23

概要

Background: Evidence-based medicine (EBM) is widely considered the guiding principle in today’s clinical practice. However, gaps may exist in evidence synthesis and implementation process. Evidence synthesis may not have been conducted in an unbiased and timely manner; guidelines may not have reflected the most up-to-date evidence; clinicians may not have changed their clinical decision makings in accordance with the relevant evidence.

Objectives: The study aims to present the evolution in three major elements in the process of practicing EBM, namely evidence synthesis, clinical practice guideline (CPG) recommendations and real-world clinical practice, and to describe their concordance or discordance, regarding the prescription of new generation antidepressants for major depressive disorder (MDD) through the past three decades.

Methods: First, cumulative network meta-analyses (NMAs) based on a comprehensive dataset of double-blind randomized controlled trials (RCTs) of the acute phase antidepressant treatment for MDD were conducted to represent ideally synthesized evidence over the years (up to 2016). The primary outcomes of the NMAs were efficacy (treatment response) and acceptability (all-cause discontinuation). The confidence in evidence was assessed using the CINeMA (Confidence in Network Meta-Analysis) framework. A Shiny web application was built to perform and present NMAs interactively. Second, recommendations from several representative practice guidelines published from 1990 until 2018 regarding the antidepressant treatment of MDD were extracted. Next, the real-world prescription patterns of antidepressant monotherapy for MDD were estimated every 5 years from 1990 to 2015, using the Medical Expenditure Panel Survey, a nationally representative database in the US. Finally, the evidence based on cumulative NMAs, the CPG recommendations, and the prescription patterns were compared, in order to find possible discrepancies. Potential reasons and factors that may cause deviations, such as patent expiry, local regulations, and marketing efforts, were also investigated.

Results: Evidence evolution based on cumulative NMAs was shown on the Shiny web, indicating a dramatic change of drugs with relative superiority, and the potentially exaggerated performance of newly approved drugs. CPGs developed by different groups had unique features, and most of them based recommendations primarily on published RCTs and their pairwise meta-analyses. In general, the development of the CPGs followed a rigorously reported methodology which improved over time. The prescription data suggested that sertraline and fluoxetine were among the most frequently prescribed antidepressants throughout the 20 years in the US, while the trend for some new drugs changed dramatically. Comparison between the three elements indicated that most of the drugs recommended by CPGs presented relatively superior performance in efficacy and acceptability with moderate confidence in the evidence. However, the CPG recommendations were often in terms of drug classes rather than particular drugs and the update intervals of all CPGs were longer than 5 years,thus lagging behind the most up-to-date evidence. All the antidepressants prescribed frequently in the US were recommended by CPGs. However, changes in prescriptions did not correspond to alterations in CPGs nor to apparent changes in the effects indicated by cumulative NMAs. For example, escitalopram achieved large prescription volume before formal recommendation, but then gradually lost its market share after being recommended. Many factors including marketing efforts, regulations or patient values may play a role.

Conclusions: The study provides an overview of how accumulating evidence may have influenced CPG recommendations and led to real-world prescriptions regarding antidepressant treatment of MDD in the past three decades. Though CPGs appeared to reflect the evidence, enhancements including accelerating CPG updates, monitoring the impact of marketing on prescriptions, and educating clinicians to actively seek evidence in order to avoid excessive influence from the pharmaceutical companies, should be considered in future EBM implementation.

参考文献

[1] Djulbegovic B, Guyatt GH. Progress in evidence-based medicine: a quarter century on. Lancet. 2017;390:415-23. https://doi.org/10.1016/S0140-6736(16)31592-6

[2] Haynes RB. Of studies, syntheses, synopses, summaries, and systems: the "5S" evolution of information services for evidence-based healthcare decisions. Evid Based Med. 2006;11:162-4. https://doi.org/10.1136/ebm.11.6.162-a

[3] Turner EH, Matthews AM, Linardatos E, Tell RA, Rosenthal R. Selective publication of antidepressant trials and its influence on apparent efficacy. N Engl J Med. 2008;358:252-60. https://doi.org/10.1056/NEJMsa065779

[4] Shojania KG, Sampson M, Ansari MT, Ji J, Doucette S, Moher D. How quickly do systematic reviews go out of date? A survival analysis. Ann Intern Med. 2007;147:224-33.

[5] Beller EM, Chen JK, Wang UL, Glasziou PP. Are systematic reviews up-to-date at the time of publication? Syst Rev. 2013;2:36. https://doi.org/10.1186/2046-4053-2-36

[6] Martinez Garcia L, Sanabria AJ, Garcia Alvarez E, Trujillo-Martin MM, Etxeandia-Ikobaltzeta I, Kotzeva A, et al. The validity of recommendations from clinical guidelines: a survival analysis. CMAJ. 2014;186:1211-9. https://doi.org/10.1503/cmaj.140547

[7] Schunemann HJ, Wiercioch W, Etxeandia I, Falavigna M, Santesso N, Mustafa R, et al. Guidelines 2.0: systematic development of a comprehensive checklist for a successful guideline enterprise. CMAJ. 2014;186:E123-42. https://doi.org/10.1503/cmaj.131237

[8] Alonso-Coello P, Oxman AD, Moberg J, Brignardello-Petersen R, Akl EA, Davoli M, et al. GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 2: Clinical practice guidelines. BMJ. 2016;353:i2089. https://doi.org/10.1136/bmj.i2089

[9] Forsetlund L, Bjorndal A, Rashidian A, Jamtvedt G, O'Brien MA, Wolf F, et al. Continuing education meetings and workshops: effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2009:CD003030. https://doi.org/10.1002/14651858.CD003030.pub2

[10] Ivers N, Jamtvedt G, Flottorp S, Young JM, Odgaard-Jensen J, French SD, et al. Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev. 2012:CD000259. https://doi.org/10.1002/14651858.CD000259.pub3

[11] O'Brien MA, Rogers S, Jamtvedt G, Oxman AD, Odgaard-Jensen J, Kristoffersen DT, et al. Educational outreach visits: effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2007:CD000409. https://doi.org/10.1002/14651858.CD000409.pub2

[12] Yeh JS, Franklin JM, Avorn J, Landon J, Kesselheim AS. Association of Industry Payments to Physicians With the Prescribing of Brand-name Statins in Massachusetts. JAMA Intern Med. 2016;176:763-8. https://doi.org/10.1001/jamainternmed.2016.1709

[13] Rose SL, Highland J, Karafa MT, Joffe S. Patient Advocacy Organizations, Industry Funding, and Conflicts of Interest. JAMA Intern Med. 2017;177:344-50. https://doi.org/10.1001/jamainternmed.2016.8443

[14] World Health Organization (WHO). Depression and other common mental disorders: global health estimates. World Health Organization: 2017. Available at: http://www.who.int/iris/handle/10665/254610. Accessed 10 May 2019.

[15] Lim GY, Tam WW, Lu Y, Ho CS, Zhang MW, Ho RC. Prevalence of Depression in the Community from 30 Countries between 1994 and 2014. Sci Rep. 2018;8:2861. https://doi.org/10.1038/s41598-018-21243-x

[16] Jakobsen JC, Gluud C, Kirsch I. Should antidepressants be used for major depressive disorder? BMJ Evidence-Based Medicine. 2020;25:130. https://doi.org/10.1136/bmjebm-2019-111238

[17] Cipriani A, Furukawa TA, Salanti G, Geddes JR, Higgins JP, Churchill R, et al. Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis. Lancet. 2009;373:746-58. https://doi.org/10.1016/S0140-6736(09)60046-5

[18] Cipriani A, Furukawa TA, Salanti G, Chaimani A, Atkinson LZ, Ogawa Y, et al. Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis. Lancet. 2018;391:1357-66. https://doi.org/10.1016/S0140-6736(17)32802-7

[19] Nikolakopoulou A, Mavridis D, Furukawa TA, Cipriani A, Tricco AC, Straus SE, et al. Living network meta-analysis compared with pairwise meta-analysis in comparative effectiveness research: empirical study. BMJ. 2018;360:k585. https://doi.org/10.1136/bmj.k585

[20] Leucht S, Chaimani A, Cipriani AS, Davis JM, Furukawa TA, Salanti G. Network meta-analyses should be the highest level of evidence in treatment guidelines. Eur Arch Psychiatry Clin Neurosci. 2016;266:477-80. https://doi.org/10.1007/s00406-016-0715-4

[21] Higgins JP, Welton NJ. Network meta-analysis: a norm for comparative effectiveness? Lancet. 2015;386:628-30. https://doi.org/10.1016/S0140-6736(15)61478-7

[22] Luo Y, Chaimani A, Furukawa TA, Kataoka Y, Ogawa Y, Cipriani A, et al. Visualizing the Evolution of Evidence: Cumulative Network Meta-Analyses of New Generation Antidepressants in the Last 40 Years. Res Synth Methods. 2020. https://doi.org/10.1002/jrsm.1413

[23] Luo Y, Kataoka Y, Ostinelli EG, Cipriani A, Furukawa TA. National Prescription Patterns of Antidepressants in the Treatment of Adults With Major Depression in the US Between 1996 and 2015: A Population Representative Survey Based Analysis. Front Psychiatry. 2020;11:35. https://doi.org/10.3389/fpsyt.2020.00035

[24] Luo Y, Chaimani A, Kataoka Y, Ostinelli EG, Ogawa Y, Cipriani A, et al. Evidence synthesis, practice guidelines and real-world prescriptions of new generation antidepressants in the treatment of depression: a protocol for cumulative network meta-analyses and meta-epidemiological study. BMJ Open. 2018;8:e023222. https://doi.org/10.1136/bmjopen2018-023222

[25] Furukawa TA. How can we make the results of trials and their meta-analyses using continuous outcomes clinically interpretable? Acta Psychiatr Scand. 2014;130:321-3. https://doi.org/10.1111/acps.12278

[26] Sinyor M, Levitt AJ, Cheung AH, Schaffer A, Kiss A, Dowlati Y, et al. Does inclusion of a placebo arm influence response to active antidepressant treatment in randomized controlled trials? Results from pooled and meta-analyses. J Clin Psychiatry. 2010;71:270-9. https://doi.org/10.4088/JCP.08r04516blu

[27] Salanti G, Chaimani A, Furukawa TA, Higgins JPT, Ogawa Y, Cipriani A, et al. Impact of placebo arms on outcomes in antidepressant trials: systematic review and meta-regression analysis. Int J Epidemiol. 2018;47:1454-64. https://doi.org/10.1093/ije/dyy076

[28] CINeMA. CINeMA: Confidence in Network Meta-Analysis [Software]. Institute of Social and Preventive Medicine; 2017. Available at: http://cinema.ispm.unibe.ch. Accessed 23 August 2019.

[29] Nikolakopoulou A, Higgins JPT, Papakonstantinou T, Chaimani A, Del Giovane C, Egger M, et al. CINeMA: An approach for assessing confidence in the results of a network meta-analysis. PLoS Med. 2020;17:e1003082. https://doi.org/10.1371/journal.pmed.1003082

[30] American Psychiatric Association (APA). Practice guideline for major depressive disorder in adults. American Psychiatric Association. Am J Psychiatry. 1993;150:1-26. https://doi.org/10.1176/ajp.150.4.1

[31] American Psychiatric Association (APA). Practice guideline for the treatment of patients with major depressive disorder (revision). American Psychiatric Association. Am J Psychiatry. 2000;157:1-45.

[32] American Psychiatric Association (APA). Practice Guideline for the Treatment of Patients With Major Depressive Disorder (3rd Edition). 2010.

[33] Agency for Health Care Policy and Research (AHCPR). Depression in Primary Care: Volume 2. Treatment of Major Depression. Rockville MD. U.S.1993.

[34] Montgomery SA, Bebbington P, Cowen P, Deakin W, Freeling P, Hallstrom C, et al. Guidelines for treating depressive illness with antidepressants: A statement from the British Association for Psychopharmacology. J Psychopharmacol. 1993;7:19-23. https://doi.org/10.1177/0269881193007001041

[35] Anderson IM, Nutt DJ, Deakin JF. Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 1993 British Association for Psychopharmacology guidelines. British Association for Psychopharmacology. J Psychopharmacol. 2000;14:3-20. https://doi.org/10.1177/026988110001400101

[36] Anderson IM, Ferrier IN, Baldwin RC, Cowen PJ, Howard L, Lewis G, et al. Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 2000 British Association for Psychopharmacology guidelines. J Psychopharmacol. 2008;22:343-96. https://doi.org/10.1177/0269881107088441

[37] Cleare A, Pariante CM, Young AH, Anderson IM, Christmas D, Cowen PJ, et al. Evidence-based guidelines for treating depressive disorders with antidepressants: A revision of the 2008 British Association for Psychopharmacology guidelines. J Psychopharmacol. 2015;29:459-525. https://doi.org/10.1177/0269881115581093

[38] National Institute for Health and Care Excellence (NICE). Management of depression in primary and secondary care. https://wwwniceorguk/guidance/CG23. 2004.

[39] National Institute for Health and Care Excellence (NICE). Depression in adults: recognition and management. niceorguk/guidance/cg90. 2010.

[40] U.S. Agency for Healthcare Research and Quality. Medical Expenditure Panel Survey (MEPS). Available at: https://meps.ahrq.gov/mepsweb/. Accessed 4 June 2019.

[41] Rouse B, Cipriani A, Shi Q, Coleman AL, Dickersin K, Li T. Network Meta-analysis for Clinical Practice Guidelines: A Case Study on First-Line Medical Therapies for Primary Open-Angle Glaucoma. Ann Intern Med. 2016;164:674-82. https://doi.org/10.7326/M15-2367

[42] Elliott JH, Turner T, Clavisi O, Thomas J, Higgins JP, Mavergames C, et al. Living systematic reviews: an emerging opportunity to narrow the evidence-practice gap. PLoS Med. 2014;11:e1001603. https://doi.org/10.1371/journal.pmed.1001603

[43] Elliott JH, Synnot A, Turner T, Simmonds M, Akl EA, McDonald S, et al. Living systematic review: 1. Introductionthe why, what, when, and how. J Clin Epidemiol. 2017;91:23-30. https://doi.org/10.1016/j.jclinepi.2017.08.010

[44] Nikolakopoulou A, Mavridis D, Egger M, Salanti G. Continuously updated network meta-analysis and statistical monitoring for timely decision-making. Stat Methods Med Res. 2018;27:1312-30. https://doi.org/10.1177/0962280216659896

[45] Akl EA, Meerpohl JJ, Elliott J, Kahale LA, Schunemann HJ, Living Systematic Review Network. Living systematic reviews: 4. Living guideline recommendations. J Clin Epidemiol. 2017;91:47-53. https://doi.org/10.1016/j.jclinepi.2017.08.009

[46] Vogel JP, Dowswell T, Lewin S, Bonet M, Hampson L, Kellie F, et al. Developing and applying a 'living guidelines' approach to WHO recommendations on maternal and perinatal health. BMJ Glob Health. 2019;4:e001683. https://doi.org/10.1136/bmjgh-2019-001683

[47] Nguyen T, Seiler N, Brown E, O'Donoghue B. The effect of Clinical Practice Guidelines on prescribing practice in mental health: A systematic review. Psychiatry Res. 2020;284:112671. https://doi.org/10.1016/j.psychres.2019.112671

[48] Wilkes MS, Bell RA, Kravitz RL. Direct-to-consumer prescription drug advertising: trends, impact, and implications. Health Aff (Millwood). 2000;19:110-28. https://doi.org/10.1377/hlthaff.19.2.110

[49] Greenslit NP, Kaptchuk TJ. Antidepressants and advertising: psychopharmaceuticals in crisis. Yale J Biol Med. 2012;85:153-8.

[50] Hartmann PM. Mirtazapine: a newer antidepressant. Am Fam Physician. 1999;59:159-61.

[51] Naik AD, Woofter AL, Skinner JM, Abraham NS. Pharmaceutical company influence on nonsteroidal antiinflammatory drug prescribing behaviors. Am J Manag Care. 2009;15:e9-15.

[52] Pollack D, Wopat R, Muench J, Hartung DM. Show me the evidence: the ethical aspects of pharmaceutical marketing, evidence-based medicine, and rational prescribing. Journal of Ethics in Mental Health. 2009;1:1-9.

[53] Spielmans GI, Parry PI. From evidence-based medicine to marketing-based medicine: evidence from internal industry documents. Journal of Bioethical Inquiry. 2010;7:13-29.

[54] Azoulay P. Do pharmaceutical sales respond to scientific evidence? . Journal of Economics & Management Strategy. 2002;11:551-94.

参考文献をもっと見る

全国の大学の
卒論・修論・学位論文

一発検索!

この論文の関連論文を見る