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Target Trial EmulationA Framework for Causal Inference From Observational Data

To identify the key insights or developments described in this article
1 Credit CME

Quantifying the effect of a treatment on a clinical outcome—causal inference—requires the comparison of outcomes under different courses of action. For example, to quantify the effect of tocilizumab on mortality in critically ill patients with COVID-19, the mortality risk could be compared between a group of patients administered tocilizumab and a group who are not. Ideally, eligible patients would be assigned to these groups at random. The key advantage of such a randomized trial is that both groups are expected to be comparable, and thus any differences in mortality can be attributed to tocilizumab rather than to prognostic differences between the groups.

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Article Information

Corresponding Author: Miguel Hernán, MD, DrPH, Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115 (miguel_hernan@post.harvard.edu).

Published Online: December 12, 2022. doi:10.1001/jama.2022.21383

Conflict of Interest Disclosures: Dr Hernán reported receiving grants from the National Institutes of Health (NIH); serving as data science adviser for ProPublica; and serving as a consultant for Cytel. Dr Leaf reported receiving grants from the NIH (R01HL144566, R01DK125786). No other disclosures were reported.

References
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Hernán  MA , Robins  JM .  Using big data to emulate a target trial when a randomized trial is not available.   Am J Epidemiol. 2016;183(8):758-764. doi:10.1093/aje/kwv254PubMedGoogle ScholarCrossref
2.
Gupta  S , Wang  W , Hayek  SS ,  et al; STOP-COVID Investigators.  Association between early treatment with tocilizumab and mortality among critically ill patients with COVID-19.   JAMA Intern Med. 2021;181(1):41-51. doi:10.1001/jamainternmed.2020.6252PubMedGoogle ScholarCrossref
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Yadav  K , Lewis  RJ .  Immortal time bias in observational studies.   JAMA. 2021;325(7):686-687. doi:10.1001/jama.2020.9151PubMedGoogle ScholarCrossref
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Hernán  MA , Sauer  BC , Hernández-Díaz  S , Platt  R , Shrier  I .  Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses.   J Clin Epidemiol. 2016;79:70-75. doi:10.1016/j.jclinepi.2016.04.014PubMedGoogle ScholarCrossref
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Hernán  MA , Alonso  A , Logan  R ,  et al.  Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease.   Epidemiology. 2008;19(6):766-779. doi:10.1097/EDE.0b013e3181875e61PubMedGoogle ScholarCrossref
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Stensrud  MJ , Valberg  M , Røysland  K , Aalen  OO .  Exploring selection bias by causal frailty models: the magnitude matters.   Epidemiology. 2017;28(3):379-386. doi:10.1097/EDE.0000000000000621PubMedGoogle ScholarCrossref
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Adler  AI , Latimer  NR .  Adjusting for nonadherence or stopping treatments in randomized clinical trials.   JAMA. 2021;325(20):2110-2111. doi:10.1001/jama.2021.2433PubMedGoogle ScholarCrossref
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Gordon  AC , Mouncey  PR , Al-Beidh  F ,  et al; REMAP-CAP Investigators.  Interleukin-6 receptor antagonists in critically ill patients with Covid-19.   N Engl J Med. 2021;384(16):1491-1502. doi:10.1056/NEJMoa2100433PubMedGoogle ScholarCrossref
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Haukoos  JS , Lewis  RJ .  The propensity score.   JAMA. 2015;314(15):1637-1638. doi:10.1001/jama.2015.13480PubMedGoogle ScholarCrossref
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Hernán  MA .  The hazards of hazard ratios.   Epidemiology. 2010;21(1):13-15. doi:10.1097/EDE.0b013e3181c1ea43PubMedGoogle ScholarCrossref
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Credit Designation Statement: The American Medical Association designates this Journal-based CME activity activity for a maximum of 1.00  AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to:

  • 1.00 Medical Knowledge MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program;;
  • 1.00 Self-Assessment points in the American Board of Otolaryngology – Head and Neck Surgery’s (ABOHNS) Continuing Certification program;
  • 1.00 MOC points in the American Board of Pediatrics’ (ABP) Maintenance of Certification (MOC) program;
  • 1.00 Lifelong Learning points in the American Board of Pathology’s (ABPath) Continuing Certification program; and
  • 1.00 CME points in the American Board of Surgery’s (ABS) Continuing Certification program

It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting MOC credit.

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