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Наблюдательные исследования как инструмент внедрения в клиническую практику инновационных подходов в онкологии
Наблюдательные исследования как инструмент внедрения в клиническую практику инновационных подходов в онкологии
Хатьков И.Е., Андреяшкина И.И., Аничкина К.А., Пастернак А.В., Прокофьева Е.С., Зайцев Р.Д., Троценко И.Д. Наблюдательные исследования как инструмент внедрения в клиническую практику инновационных подходов в онкологии. Consilium Medicum. 2023;25(6):388–394. DOI: 10.26442/20751753.2023.6.202351
© ООО «КОНСИЛИУМ МЕДИКУМ», 2023 г.
© ООО «КОНСИЛИУМ МЕДИКУМ», 2023 г.
________________________________________________
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Аннотация
Рандомизированные клинические исследования (РКИ) сегодня остаются «золотым стандартом» доказательной медицины. С другой стороны, не менее очевидно, что реальная практика предъявляет много новых и важных вопросов, на которые в рамках РКИ ответить сложно: насколько портрет реального пациента соответствует критериям включения в исследование; каковы эффективность и безопасность препарата у коморбидных и пожилых пациентов; как отклонения от режима приема влияют на безопасность и др. Внедрение инновационных подходов в онкологии происходит несоизмеримо более быстрыми темпами по сравнению с другими дисциплинами. Именно поэтому здесь важен взвешенный анализ эффектов инноваций в реальной практике. Регуляторные органы, понимая это, демонстрируют готовность рассматривать и активно поддерживать исследования реальной клинической практики (real-world evidence, real world data) в рамках заявок на регистрацию препаратов, что является мощным стимулом к развитию данного направления. Целью статьи является анализ регуляторных подходов США и Европы к исследованиям реальной клинической практики при рассмотрении регистрационных заявок лекарственных препаратов, а также обсуждение опыта организации наблюдательного исследования эффективности отдельных лекарственных препаратов для лечения онкологических заболеваний в Москве как уникального для России примера взаимодействия регуляторных органов и экспертного сообщества онкологов.
Ключевые слова: real-world evidence, real world data, клинические исследования, наблюдательное исследование, реальная клиническая практика, московское онкологическое общество
Keywords: real-world evidence, real world data, clinical studies, observational study, real clinical practice, Moscow Cancer Society
Ключевые слова: real-world evidence, real world data, клинические исследования, наблюдательное исследование, реальная клиническая практика, московское онкологическое общество
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Keywords: real-world evidence, real world data, clinical studies, observational study, real clinical practice, Moscow Cancer Society
Полный текст
Список литературы
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2. Dickson D, Johnson J, Bergan R, et al. The master observational trial: a new class of master protocol to advance precision medicine. Cell. 2020;180:9-14.
3. Park JJH, Siden E, Zoratti MJ, et al. Systematic review of basket trials, umbrella trials, and platform trials: a landscape analysis of master protocols. Trials. 2019;20:572.
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23. Marrero JA, Kudo M, Venook AP, et al. Observational registry of sorafenib use in clinical practice across Child-Pugh subgroups: the GIDEON study. J Hepatol. 2016;65:1140-7.
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2. Dickson D, Johnson J, Bergan R, et al. The master observational trial: a new class of master protocol to advance precision medicine. Cell. 2020;180:9-14.
3. Park JJH, Siden E, Zoratti MJ, et al. Systematic review of basket trials, umbrella trials, and platform trials: a landscape analysis of master protocols. Trials. 2019;20:572.
4. Allen A, Siefkas A, Pellegrini E, et al. A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients. Appl Sci. 2021;11:5576.
5. Walsh JR, Smith AM, Pouliot V, et al. Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks. for the Multiple Sclerosis Outcome Assessments Consortium. bioRxiv. 2020.
6. Concato J, Corrigan-Curay J. Real-world evidence – where are we now? N Engl J Med. 2022;386:1680-2.
7. Sherman RE, Davies KM, Robb MA, et al. Accelerating development of scientific evidence for medical products within the existing US regulatory framework. Nat Rev Drug Discov. 2017;16:297-8.
8. Постановление Правительства России от 02.05.2012 №413. Режим доступа http://government.ru/docs/all/82122. Ссылка активна на 12.03.2023
9. Routledge P. 150 years of pharmacovigilance. Lancet. 1998;351:1200-1.
10. Commission on Anaesthetics. Lancet. 1893:629-38.
11. Available at: https://www.who.int/teams/regulation-prequalification/regulation-and-safety/pharmacovigilance/networ... Accessed: 10.05.2023
12. Dang A. Real-World Evidence: A Primer. Pharmaceutical Medicine. 2023;37:25-36.
13. Hemkens LG, Contopoulos-Ioannidis DG, Ioannidis JPA. Routinely collected data and comparative effectiveness evidence: promises and limitations. Can Med Assoc J. 2016;188:E158-64.
14. Administration Food and Drug Evaluating Inclusion and Exclusion Criteria in Clinical Trials; Workshop Report. 2018. Docket number: FDA-2018-N-0129.
15. Van Spall HG, Toren A, Kiss A, Fowler R. Eligibility Criteria of Randomized Controlled Trials Published in High-Impact General Medical Journals. JAMA. 2007;11(297):1233-40.
16. Inclusion Across the Lifespan, Marie Bernard, National Institute on Aging, National Institute of Health. Available at: https://healthpolicy.duke.edu/events/evaluating-inclusion-and-exclusion-criteria-clinical-trials. Accessed: 16.04.2018.
17. Review of Eligibility Criteria From a Sample of Approved Drugs and Biologics, Kaveeta Vasisht, Food and Drug Administration. Available at: https://healthpolicy.duke.edu/events/evaluating-inclusion-and-exclusion-criteria-clinical-trials. Accessed: 16.04.2018.
18. Health and Human Services, Office of the Assistant Secretary for Health, HHS Initiative on Multiple Chronic Conditions. Available at: https://www.hhs.gov/ash/about-ash/multiple-chronic-conditions/addressing-multiple-chronic-conditions.... Accessed: 02.11.2021.
19. Cochrane AL. Effectiveness and efficiency: random reflection on health services. Public Health. 1973;4(87):149.
20. Haynes B. Can it work? Does it work? Is it worth it? The testing of healthcare interventions is evolving. BMJ. 1999;7211(319):652-3.
21. High Level Pharmaceutical Forum 2005–2008. Final Conclusions and Recommendations of the Pharmaceutical Forum. Available at: http://www.bgpharma.bg/bulletin/read/edition/8/file/final_conclusions_en.pdf. Accessed: 11.07.2023.
22. Llovet JM, Ricci S, Mazzaferro V, et al. Sorafenib in advanced hepatocellular carcinoma. N Engl J Med. 2008;359:378-90.
23. Marrero JA, Kudo M, Venook AP, et al. Observational registry of sorafenib use in clinical practice across Child-Pugh subgroups: the GIDEON study. J Hepatol. 2016;65:1140-7.
24. Phillips CM, Parmar A, Guo H, et al. Assessing the Efficacy-Effectiveness Gap for Cancer Therapies: A Comparison of Overall Survival and Toxicity Between Clinical Trial and Population-Based, Real-World Data for Contemporary Parenteral Cancer Therapeutics. Cancer. 2020;126:717-1726.
25. Tan YY, Papez V, Chang WH, et al. Comparing clinical trial population representativeness to real-world populations: an external validity analysis encompassing 43,895 trials and 5.6M individuals across 989 unique drugs and 286 conditions. Lancet Healthy Longevity. 2022;3:e674-89.
26. Act 21st Century Cures. 31.1.2020. Available at: https://www.fda.gov/regulatory-information/selected-amendments-fdc-act/21st-century-cures-act. Accessed: 20.03.2023
27. Framework for FDA’s Real-World Evidence Program. 2018.
28. Center for Drug Evaluation and Research Center for Biologics Evaluation and Research Submitting Documents Using Real-World Data and Real-World Evidence to FDA for Drug and Biological Products. 2022.
29. Feinberg BA, Gajra A, Zettler ME, et al. Use of Real-World Evidence to Support FDA Approval of Oncology Drugs. Value Health. 2020;23(10):1358-65.
30. Purpura CA, Garry EM, Honig N, et al. The Role of Real- World Evidence in FDA- Approved New Drug and Biologics License Applications. Clin Pharmacol Ther. 2022;1(111):135-44.
31. 2025 EMA Regulatory Science Strategy. Available at: https://www.ema.europa.eu/en/about-us/how-we-work/regulatory-science-strategy#regulatory-science-str.... Accessed: 20.03.2023
32. Arlett P, Kjaer J, Broich K, Cooke E. Real-World Evidence in EU Medicines Regulation: Enabling Use and Establishing Value. Clin Pharmacol Ther. 2022;1(111).
33. Flynn R, Plueschke K, Quinten C, et al. Marketing Authorization Applications Made to the European Medicines Agency in 2018–2019: What was the Contribution of Real-World Evidence? Clin Pharmacol Ther. 2022;111(1).
34. Real World Evidence [RWE] Solutions Market Size is to Reach US$ 78.83 bn by 2030, Grow at CAGR of 7.8% | Research by SNS Insider. Available at: https://www.globenewswire.com/en/news-release/2023/02/20/2611441/0/en/Real-World-Evidence-RWE-Soluti.... Accessed: 20.03.2023
35. Колбин А.С. Белоусов Д.Ю. Краткий отчет о развитии доказательств, основанных на данных реальной клинической практики (RWD/RWE) в 2021 году: США, Россия и Евразийский экономический союз (ЕАЭС). Реальная клиническая практика: данные и доказательства. 2022;2(1):1-9 [Kolbin AS, Belousov DYu. A brief report of real-world evidence development (RWD/RWE) in 2021: United States, Russia, and the Eurasian Economic Union (EAEU). Real-World Data & Evidence. 2022;2(1):1-9 (in Russian)].
36. Борзова А.М. Применение данных реальной клинической практики при обосновании требований к предмету закупок. Реальная клиническая практика: данные и доказательства. 2021;1(1):16-20 [Borzova MA. Applying real-world data to justify requirements to purchased drugs in public procurement. Real-World Data & Evidence. 2021;1(1):16-20 (in Russian)].
37. Иванов А.В. Регистры как основа для сбора данных и построения доказательств. Реальная клиническая практика: данные и доказательства. 2021;1:10-5 [Ivanov AV. Registers as the basis for data collection and evidence building. Real-World Data & Evidence. 2021;1(1):10-5 (in Russian)].
________________________________________________
2. Dickson D, Johnson J, Bergan R, et al. The master observational trial: a new class of master protocol to advance precision medicine. Cell. 2020;180:9-14.
3. Park JJH, Siden E, Zoratti MJ, et al. Systematic review of basket trials, umbrella trials, and platform trials: a landscape analysis of master protocols. Trials. 2019;20:572.
4. Allen A, Siefkas A, Pellegrini E, et al. A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients. Appl Sci. 2021;11:5576.
5. Walsh JR, Smith AM, Pouliot V, et al. Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks. for the Multiple Sclerosis Outcome Assessments Consortium. bioRxiv. 2020.
6. Concato J, Corrigan-Curay J. Real-world evidence – where are we now? N Engl J Med. 2022;386:1680-2.
7. Sherman RE, Davies KM, Robb MA, et al. Accelerating development of scientific evidence for medical products within the existing US regulatory framework. Nat Rev Drug Discov. 2017;16:297-8.
8. Постановление Правительства России от 02.05.2012 №413. Режим доступа http://government.ru/docs/all/82122. Ссылка активна на 12.03.2023
9. Routledge P. 150 years of pharmacovigilance. Lancet. 1998;351:1200-1.
10. Commission on Anaesthetics. Lancet. 1893:629-38.
11. Available at: https://www.who.int/teams/regulation-prequalification/regulation-and-safety/pharmacovigilance/networ... Accessed: 10.05.2023
12. Dang A. Real-World Evidence: A Primer. Pharmaceutical Medicine. 2023;37:25-36.
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Авторы
И.Е. Хатьков1, И.И. Андреяшкина1, К.А. Аничкина1, А.В. Пастернак1, Е.С. Прокофьева2, Р.Д. Зайцев2, И.Д. Троценко*3
1ГБУЗ «Московский клинический научно-практический центр им. А.С. Логинова» Департамента здравоохранения г. Москвы, Москва, Россия;
2АНО «Московский центр инновационных технологий в здравоохранении», Москва, Россия;
3ФГАОУ ВО «Российский университет дружбы народов», Москва, Россия
*ivan.trotsenko@mosoncolog.ru
1Loginov Moscow Clinical Scientific Center, Moscow, Russia;
2Moscow Center for Innovative Technologies in Healthcare, Moscow, Russia;
3People’s Friendship University of Russia (RUDN University), Moscow, Russia
*ivan.trotsenko@mosoncolog.ru
1ГБУЗ «Московский клинический научно-практический центр им. А.С. Логинова» Департамента здравоохранения г. Москвы, Москва, Россия;
2АНО «Московский центр инновационных технологий в здравоохранении», Москва, Россия;
3ФГАОУ ВО «Российский университет дружбы народов», Москва, Россия
*ivan.trotsenko@mosoncolog.ru
________________________________________________
1Loginov Moscow Clinical Scientific Center, Moscow, Russia;
2Moscow Center for Innovative Technologies in Healthcare, Moscow, Russia;
3People’s Friendship University of Russia (RUDN University), Moscow, Russia
*ivan.trotsenko@mosoncolog.ru
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