Method Hierarchies in Clinical Epidemiology

Accumulating evidence from diverse fields of inquiry suggests the existence of method hierarchies, where criteria employed by the same epistemic agent constitute a certain preference hierarchy. In this paper, we illustrate the phenomenon of method hierarchy by discussing several prominent studies in clinical epidemiology of coronary artery disease. The current “gold standard” in clinical epidemiology is the randomized controlled trial (RCT) method. Yet, in the absence of studies that satisfy the strict requirement of the RCT method, clinical epidemiologists often relax the requirements of double-blinding, complete follow-up, no treatment switching, and/or randomization. Instead, they sometimes employ less stringent requirements, such as the requirement to account for the potential imbalances between groups through statistical models. This suggests the existence of a certain method hierarchy. However, it is unclear how method hierarchies are to be conceptualized and documented. Specifically, it remains to be seen whether a method hierarchy is best understood as being composed of individual employed methods or as a single composite method with a complex system of if-s and else-s. Suggested Modifications [Sciento-2019-0013]: Accept the existence of method hierarchies. Accept the following definition of method hierarchy: Method Hierarchy ≡ a set of methods is said to constitute a hierarchy iff theories that satisfy the requirements of methods that are higher in the hierarchy are preferred to theories that satisfy the requirements of methods that are lower in the hierarchy. Accept the following question as a legitimate topic of scientonomic inquiry: Conceptualizing Method Hierarchies: should we conceive of a method hierarchy as being composed of individual employed methods/requirements, or should we think of it as constituting one composite method with a system of if-s and else-s, and-s and or-s?

[1]  Keith R Abrams,et al.  Assessing methods for dealing with treatment switching in clinical trials: A follow-up simulation study , 2018, Statistical methods in medical research.

[2]  Charles Kooperberg,et al.  Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results From the Women's Health Initiative randomized controlled trial. , 2002, JAMA.

[3]  J. Buring,et al.  An overview of randomized trials of rehabilitation with exercise after myocardial infarction. , 1989, Circulation.

[4]  Salim Yusuf,et al.  The World Heart Federation's vision for worldwide cardiovascular disease prevention , 2015, The Lancet.

[5]  Salim Yusuf,et al.  Effects of pretreatment with clopidogrel and aspirin followed by long-term therapy in patients undergoing percutaneous coronary intervention: the PCI-CURE study , 2001, The Lancet.

[6]  S. Hostiuc,et al.  Placebo in Surgical Research: A Case-Based Ethical Analysis and Practical Consequences , 2016, BioMed research international.

[7]  Gianluca Baio,et al.  Regulatory approval of pharmaceuticals without a randomised controlled study: analysis of EMA and FDA approvals 1999–2014 , 2016, BMJ Open.

[8]  Binita Shah,et al.  An Update on Radial Artery Access and Best Practices for Transradial Coronary Angiography and Intervention in Acute Coronary Syndrome: A Scientific Statement From the American Heart Association , 2018, Circulation. Cardiovascular interventions.

[9]  K. Bock [The evidence (in) the evidence-based medicine]. , 2001, Medizinische Klinik.

[10]  Hakob Barseghyan Redrafting the Ontology of Scientific Change , 2018, Scientonomy: Journal for the Science of Science.

[11]  J. Higgins Cochrane handbook for systematic reviews of interventions. Version 5.1.0 [updated March 2011]. The Cochrane Collaboration , 2011 .

[12]  A. Detsky,et al.  Evidence-based medicine. A new approach to teaching the practice of medicine. , 1992, JAMA.

[13]  U. Saint-Mont Randomization Does Not Help Much, Comparability Does , 2013, PloS one.

[14]  K. Filion,et al.  Efficacy of exercise-based cardiac rehabilitation post-myocardial infarction: a systematic review and meta-analysis of randomized controlled trials. , 2011, American heart journal.

[15]  A. Henderson,et al.  Rehabilitation after myocardial infarction trial (RAMIT): multi-centre randomised controlled trial of comprehensive cardiac rehabilitation in patients following acute myocardial infarction , 2011, Heart.

[16]  C. Goodman American College of Obstetricians and Gynecologists Committee on Technical Bulletins , 1988 .

[17]  J. O’Keefe,et al.  A randomized, controlled trial of the effects of remote, intercessory prayer on outcomes in patients admitted to the coronary care unit. , 2001, Archives of internal medicine.

[18]  D. Sackett,et al.  Cochrane Collaboration , 1994, BMJ.

[19]  D. Sackett,et al.  Evidence based medicine: what it is and what it isn't , 1996, BMJ.

[20]  S. Yusuf,et al.  Differences in risk factors, atherosclerosis, and cardiovascular disease between ethnic groups in Canada: the Study of Health Assessment and Risk in Ethnic groups (SHARE) , 2000, The Lancet.

[21]  G. Guyatt,et al.  Users' Guides to the Medical Literature: XXV. Evidence-based medicine: principles for applying the Users' Guides to patient care. Evidence-Based Medicine Working Group. , 2000, JAMA.

[22]  Sunil V. Rao,et al.  Radial versus femoral access for coronary angiography and intervention in patients with acute coronary syndromes (RIVAL): a randomised, parallel group, multicentre trial , 2011, The Lancet.

[23]  Guidance for Industry E 10 Choice of Control Group and Related Issues in Clinical Trials , 2001 .

[24]  K. Abrams,et al.  Assessing methods for dealing with treatment switching in randomised controlled trials: a simulation study , 2011, BMC medical research methodology.

[25]  G. Guyatt,et al.  Grading quality of evidence and strength of recommendations , 2004, BMJ : British Medical Journal.

[26]  G H Guyatt,et al.  USERS' GUIDES TO THE MEDICAL LITERATURE. II: HOW TO USE AN ARTICLE ABOUT THERAPY OR PREVENTION A. ARE THE RESULTS OF THE STUDY VALID ? , 1993 .