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Platform trial

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discontinuation of the entire trial. Platform designs allow for addition and/or discontinuation of therapy arms. Importantly, the addition or discontinuation of an arm must follow pre-set protocols such as reaching a certain demonstrated efficacy or being recommended by a set panel of experts. There are frequently caps to the number of arms that can be active at once which are pre-determined by the research team. The number of possible arms is influenced by considerations of cost, time available for the trial, operational feasibility, complications with organization large quantities of patient data and the number of total patients available for enrollment. While an arm most frequently represents a single therapy, advanced designs may have multiple therapies in a single arm. When this is the case, one arm may have different therapies in different therapy classes (i.e. one
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found use in oncology, alzheimer's disease and pneumonia research. Platform trials can be a superior design compared to simple 2-arm clinical trials when multiple therapies need investigation, because it only requires a single control group. This means that platform trials can be conducted with fewer enrolled patients than a set of potentially redundant control groups in a series of separate 2-arm trials. This in turn allows for results to be published sooner for time-sensitive diseases, and for fewer patients to be exposed to the risks of a clinical trial. Platform trials may be appropriate for phase II-IV trails.
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not yet been completed, as shared data in the trial may still need to remain blinded. Additionally, the complexity of platform designs—often involving multiple sponsors and funding sources as well as changing treatment arms—can make them difficult to register in standardized databases. Platform trials require long planning times, making them unsuitable for therapies needing immediate investigation. Funding can be complicated when different pharmaceutical companies are involved, and the ill-defined trial lengths make them less appealing to federal funding agencies.
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outcomes compared to other arms after an interim analysis. Allocation ratios can therefor be adjusted to put more patients into more successful arms; however the ratio of patients randomized to the control group does not change. Allocation ratios are determined through a mix of empirical interim evidence and simulation modeling. Care must be taken, especially early in the trial when limited sample sizes are available, to avoid extreme swings in allocation ratios as such swings could cause early biasing of data.
103:, suggests that n√t patients should be allocated to the control group; where "n" is the sample size for each of the arms and "√t" is the number of active arms. As the number of arms increase, the ratio of patients allocated to control also increases. This results in the control group having a higher proportion of allocated patients than any one arm though platform trials still allow for more total patients to be in intervention arms than multiple 2-arm RCTs. 124:). Another advanced strategy is for each arm to utilize the same treatments, but with each arm representing a different sequence of intervention administration. Advance trials may also be designed such that some arms are only activated depending on the results of other arms. For example, a higher-dose arm may only be activated if a lower-dose arm shows few side effects but also low efficacy. 78:
of platform trials described in the master protocol include: qualified trial staff members, trial sites, recruitment criteria, enrollment procedures, pre-set criteria for adding/discontinuing new therapies, adverse event reporting, communication plans, and statistical analysis plans. The master protocol is submitted to the
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in the control group, complicating analysis. Further, care must be taken to ensure that the data from arms added later are compared to appropriate sub-sections of the control group, increasing statistical complexity. Publishing results of terminated arms can also be complicated if the whole trial has
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Response-adaptive randomization is not a necessary component of platform trials but unique aspects of platforms allow for this feature to be incorporated. Response-adaptive randomization refers to the capability of redistributing the patient allocation ratio when one arm is showing superior/inferior
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Platform trials, like any clinical trial, have many elements that must be established before starting enrollment. While platform trials have the ability to alter their therapies of interest there are still many elements of these trials that remain constant and regulated. Such common, stable elements
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began, researchers predicted that there would eventually be multiple different therapies that could be investigated, but that these therapies would be discovered at different times in the pandemic timeline, therefore making a platform trial a useful design. Similar to COVID-19, platform trials have
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Platform trials are often large, multi-site investigations and as a result, master protocols frequently try to identify common human and physical infrastructure to maximize resource availability and efficiency. Examples of this include identifying/creating a single IRB to review the trial for all
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While platform trials offer many advantages for investigating a single disease, their adaptive nature and potential for numerous and complicated arms may limit their applicability and feasibility. Platforms require a large number of experts for trial design, Data Monitoring and Safety Boards and
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Unlike conventional RCTs, intervention arms do not necessarily need to start at the same time chronologically. This feature is particularly useful when investigating diseases that have new therapies being discovered regularly since these new therapies can be added to the trial without needing to
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The second defining aspect of a platform is that the therapies under investigation can change during the active enrollment phase of a trial. By comparison, conventional RCTs must specify the therapies under investigation before active enrollment and then discontinuation of a therapy results in
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While the control group is not necessarily designed to change in the way that the treatment arms are, because platform trials can run for long periods of time, control groups may have to evolve to stay current with standard of care. When this is the case, or if there is a change to patient
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One of the defining aspects of a platform trial is the shared control group that all interventional arms are compared to. Whereas a conventional RCT would generally have half of all enrolled patients in the control group; platform trials have a higher total number of patients in various
35:. As a disease-focused trial design (compared to an intervention-focused), platform trials attempt to answer the question "which therapy will best treat this disease". Platform trials are unique in their utilization of both: a common 319:
Angus, Derek C.; Alexander, Brian M.; Berry, Scott; Buxton, Meredith; Lewis, Roger; Paoloni, Melissa; Webb, Steven A. R.; Arnold, Steven; Barker, Anna; Berry, Donald A.; Bonten, Marc J. M. (October 2019).
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Platform trials can be a particularly useful design when researchers predict that multiple therapies that would become available at different times require investigation. For example, when the
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interventional groups. This allows for fewer patients to be enrolled which saves money and accelerates completion time. A common statistical tool for determining allocation ratios,
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demographics with time, later analysis of the trial must be careful to consider comparing investigational patients to only the appropriate subset of control patients.
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Park JJ, Detry MA, Murthy S, Guyatt G, Mills EJ (January 2022). "How to Use and Interpret the Results of a Platform Trial: Users' Guide to the Medical Literature".
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and their opportunity to alter the therapies it investigates during its active enrollment phase. Platform trials commonly take advantage of
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operations leading to high cost and communication complexity. The long duration of platform trials may necessitate updates to the
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sites, creating a single database for collecting data, and creating a single randomization mechanism for all enrolled patients.
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Angus DC, Berry S, Lewis RJ, Al-Beidh F, Arabi Y, van Bentum-Puijk W, et al. (July 2020).
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Park JJ, Harari O, Dron L, Lester RT, Thorlund K, Mills EJ (September 2020).
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and once approved, only arm-specific appendices need to be submitted for
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start a new trial each time a therapy is discovered.
206: 131: 993: 431:Journal of the American Statistical Association 110: 476: 256: 254: 252: 377: 375: 373: 371: 202: 200: 198: 196: 23:is a type of prospective, disease-focused, 483: 469: 286: 249: 224: 775:Preventable fraction among the unexposed 771:Attributable fraction for the population 368: 193: 779:Preventable fraction for the population 767:Attributable fraction among the exposed 424: 267:Annals of the American Thoracic Society 93: 994: 464: 425:Dunnett, Charles W. (December 1955). 942:Correlation does not imply causation 858:Animal testing on non-human primates 314: 312: 310: 308: 306: 13: 72: 67: 43:, but may incorporate elements of 14: 1013: 303: 213:Journal of Clinical Epidemiology 132:Response-adaptive randomization 825:Pre- and post-test probability 547:Patient and public involvement 443:10.1080/01621459.1955.10501294 418: 279:10.1513/AnnalsATS.202003-192SD 226:10.1016/j.jclinepi.2020.04.025 140: 1: 326:Nature Reviews Drug Discovery 186: 952:Sex as a biological variable 176:Bayesian Experimental Design 111:Adaptive intervention groups 7: 916:Intention-to-treat analysis 888:Analysis of clinical trials 817:Specificity and sensitivity 571:Randomized controlled trial 154: 10: 1018: 84:Institutional Review Board 54: 960: 925:Interpretation of results 924: 886: 835: 785: 759: 721: 691: 682: 658:Nested case–control study 608: 555: 502: 338:10.1038/s41573-019-0034-3 29:randomized clinical trial 527:Academic clinical trials 745:Relative risk reduction 593:Adaptive clinical trial 537:Evidence-based medicine 520:Adaptive clinical trial 396:10.1001/jama.2021.22507 166:Adaptive Clinical Trial 733:Number needed to treat 45:frequentist statistics 16:Type of clinical trial 737:Number needed to harm 624:Cross-sectional study 576:Scientific experiment 532:Clinical study design 171:Clinical Study Design 703:Cumulative incidence 94:Common control group 610:Observational study 542:Real world evidence 496:experimental design 41:Bayesian statistics 896:Risk–benefit ratio 863:First-in-man study 813:Case fatality rate 654:Case–control study 628:Longitudinal study 437:(272): 1096–1121. 989: 988: 937:Survivorship bias 901:Systematic review 868:Multicenter trial 831: 830: 821:Likelihood-ratios 793:Clinical endpoint 761:Population impact 715:Period prevalence 492:Clinical research 61:COVID-19 pandemic 1009: 836:Trial/test types 711:Point prevalence 689: 688: 632:Ecological study 615:EBM II-2 to II-3 586:Open-label trial 581:Blind experiment 557:Controlled study 485: 478: 471: 462: 461: 455: 454: 422: 416: 415: 379: 366: 365: 316: 301: 300: 290: 258: 247: 246: 228: 204: 148:standard of care 49:machine learning 1017: 1016: 1012: 1011: 1010: 1008: 1007: 1006: 1002:Clinical trials 992: 991: 990: 985: 956: 920: 882: 827: 781: 755: 729:Risk difference 717: 678: 612: 604: 559: 551: 515:Trial protocols 498: 489: 459: 458: 423: 419: 380: 369: 332:(10): 797–807. 317: 304: 259: 250: 205: 194: 189: 157: 143: 134: 122:immunomodulator 113: 96: 75: 73:Master protocol 70: 68:Design elements 57: 17: 12: 11: 5: 1015: 1005: 1004: 987: 986: 984: 983: 980:List of topics 976: 969: 961: 958: 957: 955: 954: 949: 944: 939: 934: 932:Selection bias 928: 926: 922: 921: 919: 918: 913: 908: 903: 898: 892: 890: 884: 883: 881: 880: 875: 870: 865: 860: 855: 853:Animal testing 850: 845: 839: 837: 833: 832: 829: 828: 805:Mortality rate 791: 789: 783: 782: 765: 763: 757: 756: 727: 725: 719: 718: 697: 695: 686: 680: 679: 677: 676: 671: 666: 661: 651: 650: 649: 644: 634: 620: 618: 606: 605: 603: 602: 601: 600: 598:Platform trial 590: 589: 588: 583: 578: 567: 565: 553: 552: 550: 549: 544: 539: 534: 529: 524: 523: 522: 517: 510:Clinical trial 506: 504: 500: 499: 488: 487: 480: 473: 465: 457: 456: 417: 367: 302: 273:(7): 879–891. 248: 191: 190: 188: 185: 184: 183: 178: 173: 168: 163: 161:Clinical Trial 156: 153: 142: 139: 133: 130: 112: 109: 101:Dunnett's test 95: 92: 74: 71: 69: 66: 56: 53: 21:platform trial 15: 9: 6: 4: 3: 2: 1014: 1003: 1000: 999: 997: 982: 981: 977: 975: 974: 970: 968: 967: 963: 962: 959: 953: 950: 948: 945: 943: 940: 938: 935: 933: 930: 929: 927: 923: 917: 914: 912: 911:Meta-analysis 909: 907: 904: 902: 899: 897: 894: 893: 891: 889: 885: 879: 878:Vaccine trial 876: 874: 873:Seeding trial 871: 869: 866: 864: 861: 859: 856: 854: 851: 849: 846: 844: 841: 840: 838: 834: 826: 822: 818: 814: 810: 806: 802: 798: 794: 790: 788: 784: 780: 776: 772: 768: 764: 762: 758: 754: 750: 746: 742: 738: 734: 730: 726: 724: 720: 716: 712: 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637:Cohort study 597: 434: 430: 420: 390:(1): 67–74. 387: 383: 329: 325: 270: 266: 216: 212: 144: 135: 126: 114: 105: 97: 88: 76: 58: 20: 18: 947:Null result 906:Replication 801:Infectivity 723:Association 674:Case report 664:Case series 647:Prospective 141:Limitations 749:Odds ratio 741:Risk ratio 707:Prevalence 693:Occurrence 669:Case study 187:References 118:antibiotic 809:Morbidity 797:Virulence 699:Incidence 451:0162-1459 412:245670604 362:201652338 346:1474-1784 243:218670123 996:Category 973:Glossary 966:Category 843:In vitro 684:Measures 503:Overview 404:34982138 354:31462747 297:32267771 235:32416336 155:See also 120:and one 25:adaptive 848:In vivo 288:7328186 219:: 1–8. 55:Purpose 47:and/or 449:  410:  402:  360:  352:  344:  295:  285:  241:  233:  787:Other 408:S2CID 358:S2CID 239:S2CID 181:AGILE 626:vs. 494:and 447:ISSN 400:PMID 384:JAMA 350:PMID 342:ISSN 293:PMID 231:PMID 439:doi 392:doi 388:327 334:doi 283:PMC 275:doi 221:doi 217:125 80:IRB 998:: 823:, 819:, 815:, 811:, 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Index

adaptive
randomized clinical trial
control group
control group
Bayesian statistics
frequentist statistics
machine learning
COVID-19 pandemic
IRB
Institutional Review Board
Dunnett's test
antibiotic
immunomodulator
standard of care
Clinical Trial
Adaptive Clinical Trial
Clinical Study Design
Bayesian Experimental Design
AGILE




"An overview of platform trials with a checklist for clinical readers"
doi
10.1016/j.jclinepi.2020.04.025
PMID
32416336
S2CID
218670123

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