Abstract
Since patients with acute myeloid leukemia (AML) in the real world have a much different clinical picture than patients recruited in the clinical trials, obtaining real-world evidence of medication adoption is important for therapeutic efficiency and safety. This study used three population-based data in Taiwan, the National Health Insurance Research Database, Taiwan Cancer Registry, and National Death Registry, between 2001 and 2015, to investigate the effect of conventional chemotherapy (CCT) versus non-conventional chemotherapy (NCCT) on the overall survival (OS) of patients with AML (n = 7,763). Cox proportional hazard regression was used to estimate the hazard ratios (HR) of different treatments on the risk of mortality. To reduce the potential selection bias, we used the inverse probability of treatment weighting based on the propensity score to balance the baseline characteristics between patients receiving CCT and NCCT. The median survival time for CCT and NCCT arms was 10.2 months (95% confidence interval (95% CI): 9.7–10.9) and 4.1 months (95% CI: 3.8–4.5), respectively. Compared to the patients received NCCT, those receiving CCT had a lower risk of mortality (HR 0.63 (95% CI: 0.59–0.67, P < 0.001). Subgroup analysis showed that CCT did benefit patients in different gender, age, comorbidity, and socioeconomic status (SES) groups. In conclusion, the real-world population-based data exhibited CCT were more likely to be prescribed for patients with AML of younger age, fewer comorbidities, diagnosed recently (2011–2015), and higher SES. In fact, CCT had better treatment outcomes than NCCT in terms of OS for adult patients diagnosed with AML.
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References
Arber DA, Orazi A, Hasserjian R, Thiele J, Borowitz MJ, Le Beau MM, Bloomfield CD, Cazzola M, Vardiman JW (2016) The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood 127(20):2391–2405
Bartlett VL, Dhruva SS, Shah ND, Ryan P, Ross JS (2019) Feasibility of using real-world data to replicate clinical trial evidence. JAMA Netw Open 2(10):e1912869
Juliusson G, Lazarevic V, Horstedt AS, Hagberg O, Hoglund M (2012) Swedish Acute Leukemia Registry G: Acute myeloid leukemia in the real world: why population-based registries are needed. Blood 119(17):3890–3899
Bhatt VR, Shostrom V, Holstein SA, Al-Kadhimi ZS, Maness LJ, Berger A, Armitage JO, Gundabolu K (2020) Survival of older adults with newly diagnosed acute myeloid leukemia: effect of using multiagent versus single-agent chemotherapy. Clin Lymphoma Myeloma Leuk 20(5):e239–e258
Maksimovic N, Zaric M, Gazibara T, Trajkovic G, Maric G, Miljus D, Suvajdzic Vukovic N, Tomin D, Virijevic M, Kisic Tepavcevic D et al (2018) Incidence and mortality patterns of acute myeloid leukemia in Belgrade, Serbia (1999(-)2013). Medicina (Kaunas) 54(1)
Medeiros BC, Satram-Hoang S, Hurst D, Hoang KQ, Momin F, Reyes C (2015) Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States. Ann Hematol 94(7):1127–1138
Wu TY, Majeed A, Kuo KN (2010) An overview of the healthcare system in Taiwan. London J Prim Care (Abingdon) 3(2):115–119. https://doi.org/10.1080/17571472.2010.11493315
Fritz A, Percy C, Jack A, Shanmugarathnam K, Sobin LH et al (2000) International classification of diseases for oncology / editors, April Fritz ... [et al.], 3rd ed. World Health Organization. https://apps.who.int/iris/handle/10665/42344. Accessed 10 April 2021
Chen LS, Huang N, Tsay JH, Wang PJ, Chou YJ, Chou P, Lee CH (2007) Screening for cervical cancer among female physicians and their relatives in Taiwan: a population-based comparative study. Prev Med 44(6):531–535
Asraf Ali AVK, Rituraj Mohanty, Arun Gowda, Anand Pati (2016) Real world evidence: an overview of its importance in the current scenario. Int J Pharm Sci Rev Res 39(2):251-254.
Nachtkamp K, Stark J, Kundgen A, Schroeder T, Strupp C, Strapatsas J, Schuler E, Kaivers J, Giagounidis A, Rautenberg C et al (2021) Eligibility for clinical trials is unsatisfactory for patients with myelodysplastic syndromes, even at a tertiary referral center. Leuk Res 108:106611
Austin PC, Stuart EA (2015) Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Stat Med 34(28):3661–3679
Juliusson G, Antunovic P, Derolf A, Lehmann S, Mollgard L, Stockelberg D, Tidefelt U, Wahlin A, Hoglund M (2009) Age and acute myeloid leukemia: real world data on decision to treat and outcomes from the Swedish Acute Leukemia Registry. Blood 113(18):4179–4187
Chang KH, Hwang WL, Muo CH, Hsu CY, Teng CJ (2016) Outcome and late effects among acute myeloid leukemia survivors: a nationwide population-based study. Support Care Cancer 24(12):4993–5000
Wiese M, Daver N (2018) Unmet clinical needs and economic burden of disease in the treatment landscape of acute myeloid leukemia. Am J Manag Care 24(16 Suppl):S347–S355
Hou HA, Tien HF (2020) Genomic landscape in acute myeloid leukemia and its implications in risk classification and targeted therapies. J Biomed Sci 27(1):81
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This work was partially sponsored by grants MOST 108–2628-B-002–015 from the Ministry of Science and Technology (Taiwan) and MOHW 107-TDU-B-211–114009 from the Ministry of Health and Welfare (Taiwan) and Health and Clinical Research Data Center, Office of Data Science, Taipei Medical University.
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H.-E.T., W.-C.C., and H.-F.T. were responsible for literature collection and data interpretation; H.-Y.L. was responsible for statistical analysis and interpretation of the statistical findings; H.-A.H. and L.-I.C. planned, designed, and analyzed statistics; wrote the manuscript; and coordinated the study over the entire period.
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This study was approved by the National Taiwan University Hospital Institutional Review Board (NTUH-REC No: 202002071 W), and the informed consent of the participants was exempted under the full review process.
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Hou, HA., Tzeng, HE., Liu, HY. et al. Effectiveness of induction regimens on survival outcome in acute myeloid leukemia patients: a real-world data from 2001 to 2015. Ann Hematol 101, 109–118 (2022). https://doi.org/10.1007/s00277-021-04670-1
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DOI: https://doi.org/10.1007/s00277-021-04670-1