Abstract
Policy Points:
Significant advances in clinical medicine that have broader societal relevance may be less accessible to population health researchers and policymakers because of increased specialization within fields.
We describe important recent clinical advances and discuss their broader societal impact. These advances include more expansive strategies for disease prevention, the rise of precision medicine, applications of human microbiome research, and new and highly successful treatments for hepatitis C infection.
These recent developments in clinical research raise important issues surrounding health care costs and equitable resource allocation that necessitate an ongoing dialogue among the fields of clinical medicine, population health, and health policy.
Context
Developments in clinical medicine have important implications for population health, and there is a need for interdisciplinary engagement among clinical medicine, the social sciences, and public health research. The aim of this article is to help bridge the divide between these fields by exploring major recent advances in clinical medicine that have important implications for population health.
Methods
We reviewed the most cited articles published from 2010 to 2015 in 5 high‐impact clinical journals and selected 5 randomized controlled trials and 2 related clinical practice guidelines that are broadly relevant to population health and policy.
Findings
We discuss the following themes: (1) expanding indications for drug therapy and the inherent medicalization of the population as highlighted by studies and clinical guidelines supporting lower blood pressure targets or widespread statin use; (2) the tension in nutritional research between quantifying the impact of isolated nutrients and studying specific foods and dietary patterns, for example, the role of the Mediterranean diet in the primary prevention of cardiovascular disease; (3) the issue of high medication costs and the challenge of providing equitable access raised by the development of new and effective treatments for hepatitis C infection; (4) emerging clinical applications of research on the human microbiome as illustrated by fecal transplant to treat Clostridium difficile infections; and (5) the promise and limitations of precision medicine as demonstrated by the rise of novel targeted therapies in oncology.
Conclusions
These developments in clinical science hold promise for improving individual and population health and raise important questions about resource allocation, the role of prevention, and health disparities.
Keywords: clinical trials, social sciences, public health, health equity, drug costs
Developments in clinical medicine have important implications for population health, health disparities, and the setting of societal priorities for resource allocation. There is, therefore, a need for engagement among researchers and practitioners in clinical medicine, the social sciences, and population health. However, because of the increasing subspecialization within medicine, clinical advances may be less accessible to audiences in other fields. This divide between disciplines can lead to considerable delays in implementing clinical science to improve the health of populations.1 For example, studies in the United States and Europe have demonstrated an incomplete and variable uptake of interventions supported by high‐quality research, including population health initiatives such as screening and preventive care.2, 3, 4 In addition to uptake, a broader public health and policy audience should discuss developments in clinical medicine that would be resource intensive to apply or that may divert from other priorities such as social equity.
The aim of this article is to help bridge the divide between clinical medicine and nonclinical fields that study population health, by exploring major recent advances in clinical science that have important implications for population health. In the clinical literature, because randomized controlled trials (RCTs) are pivotal in changing clinical practice, we focus on the most frequently cited clinical trials published in major medical journals from 2010 to 2015. We discuss trials that hold a broad significance for population health and policymaking, situating these recent advances in biomedical research in broader social and economic contexts.
Methods
To identify articles and themes in the clinical literature to include in our article, we employed mixed methods, combining a literature search based on frequency of citation (as a proxy for impact in the clinical sciences), followed by purposive sampling based on interdisciplinary perspectives on which clinical developments were clinically novel and also were important to population health and health policy. We searched the Institute for Scientific Information Web of Science® database (Philadelphia, PA) on February 6, 2018, for the most frequently cited articles published from January 1, 2010, to December 31, 2015, in 5 of the highest‐impact journals in clinical medicine (New England Journal of Medicine, Journal of the American Medical Association, The BMJ, The Lancet, and Annals of Internal Medicine). We did not extend our search beyond the end of 2015 to allow articles published at the end of the search period sufficient time to be cited. We selected the 300 most frequently cited articles based on Web of Science® citations and narrowed our focus to RCTs, based on the consensus of the clinical community that randomized trials have the greatest impact on clinical practice.5 The selection of 5 RCTs for broader exploration involved purposive sampling based on our discussion as experts in population health (Subramanian) and in health services and policy (Laupacis), individuals at the intersection of these 2 areas (Chin‐Yee, Verma, Razak), and practicing clinicians (Chin‐Yee, Verma, Laupacis, Razak). This discussion incorporated the authors’ opinions and perspectives and was based on (1) novelty and impact on clinical practice and (2) relevance to population health and policy. Identifying these important themes was an inherently subjective process and is not meant to suggest that these are the only or necessarily the most significant themes. Instead, our purpose was to review important advances in clinical research for nonclinicians, and this approach reflects our best efforts to do so after a thorough review of high‐impact studies.
Results
We selected 5 emerging themes: (1) Evidence supporting lower blood pressure targets is leading to expanding indications for drug therapy and medicalization of the population.6, 7 We examined this research in conjunction with a thematically related set of clinical guidelines regarding cholesterol and blood pressure.7, 8 (2) Nutritional research studying specific foods and whole dietary patterns, for example, the role of the Mediterranean diet in preventing cardiovascular disease,9 is shifting away from its previous focus on quantifying the impact of isolated nutrients such as saturated fats and cholesterol. (3) The development of new and effective treatments for hepatitis C infection represents a major breakthrough but also raises challenges related to high medication costs and equitable access.10 (4) Research on the human microbiome is finding important clinical applications, as illustrated by the use of fecal transplant to treat Clostridium difficile infections.11 (5) Lastly, the rise of targeted therapies in oncology highlights the promises and limitations of precision medicine.12 The articles we selected and the themes we discussed present clinical research at various stages: (1) research that is already being applied at a population level, (2) interventions that are ready for implementation but with ongoing barriers to populationwide application, and (3) new research paradigms that are in an early phase but could have a significant impact on population health.
Expanding Indications for Drug Therapy: The Medicalization of Prevention
SPRINT Trial and New Cholesterol‐Lowering Guidelines
The past decade has seen a move toward a more aggressive control of risk factors for cardiovascular disease, with an expanding definition of what constitutes risk, which has led to a greater proportion of the population now being considered eligible for drug therapy. High blood pressure and cholesterol are important risk factors for cardiovascular disease, and new research and guidelines support expanded eligibility for treating both.
The 2013 guidelines issued by the American College of Cardiology and American Heart Association (ACC/AHA) for the treatment of cholesterol to prevent cardiovascular disease, and the recommendations of the 2016 US Preventive Services Task Force significantly expanded the number of patients eligible for drug treatment based on evidence from RCTs.7, 13 Implementation of the ACC/AHA guidelines would increase the percentage of American adults eligible for statin therapy from 37.5% to 48.6%.14 This represents an increase of 12.8 million in the number of statin users, with the majority (10.4 million) being individuals receiving statin therapy for primary prevention of cardiovascular disease.
Along with broadening the use of statin therapy, emerging clinical research supports lower treatment targets for blood pressure, with the ACC/AHA's 2017 guidelines greatly expanding the number of individuals who would be treated.8 Prior to these guidelines, clinicians targeted a blood pressure of 140/90 mm Hg,15 and it remained uncertain whether the more intensive blood pressure control would prevent death or adverse cardiovascular outcomes. The 2015 Systolic Blood Pressure Intervention Trial (SPRINT) investigated whether more intensive blood pressure control—aiming for a systolic blood pressure of less than 120 mm Hg—improved cardiovascular outcomes and survival. SPRINT demonstrated a significant reduction in major adverse cardiovascular outcomes and mortality in the intensive‐treatment group, such that the number of individuals with intensive blood pressure control needed to treat to prevent 1 cardiovascular event was 61, and 90 to prevent death from any cause.6, 16
Patients in the intensive‐treatment group had a greater incidence of adverse events such as hypotension, syncope, electrolyte abnormalities, and acute kidney injury. The study faced several criticisms, including concerns about SPRINT's automated blood pressure measurement techniques, which are difficult to compare with those used in earlier studies.17 SPRINT's external validity and applicability to real‐world populations also were questioned, given that the trial excluded individuals living in nursing homes or assisted‐living facilities, as well as individuals with dementia.
Despite these limitations, SPRINT's findings have greatly influenced subsequent Canadian18 and American hypertension guidelines,8 resulting in a redefinition of high blood pressure and a marked increase in the number of people eligible for treatment. Application of the 2017 ACC/AHA guidelines for managing high blood pressure increases the prevalence of hypertension from 31.9% to 45.6% in US adults, with antihypertensive medications being recommended for 36.2% of the adult population.19 The expanding indications for statin use and blood pressure control in the recent guidelines continue to narrow the distinction between clinical and public health approaches to risk factor management.20
Risk Factor Medicalization Versus Rose's “Population Strategy”
With the goal of prevention, both the SPRINT trial and the new cholesterol and blood pressure guidelines have medicalized many individuals and have recommended lowering risk factors through drug therapy rather than societal changes and behavioral modification. This approach contrasts with conventional public health approaches to chronic disease prevention, with Geoffrey Rose's framework of a “population strategy” perhaps being the most influential.21 The ultimate goal of Rose's population strategy is to shift the distribution of a population's risk factors through primarily nonmedical means.
Rose's population strategy for prevention was “radical” in the sense that it required broad societal change, but he noted that it was potentially the most beneficial and equitable means of improving population health.22 At the time that Rose developed his theories, the population strategy stood in clear contrast to the “high‐risk strategy,” which, as the name implies, targets preventive actions to the highest‐risk individuals.20, 22 The high‐risk strategy was classically thought of as the domain of clinical medicine, in which physicians use medications to address patients’ risk factors. Clearly, these prevention strategies are not mutually exclusive, and Rose argued that they ideally should be applied together to shift both the risk distribution and risk factor modification for high‐risk individuals.23 However, he saw the high‐risk strategy as more “palliative and temporary,” an approach to be used until the population strategy was effective.24
Rose's preference for mass solutions and structural changes rather than pharmacotherapy was influenced by the risk‐benefit profile of the medications available at the time, particularly research demonstrating the adverse effects of the cholesterol‐lowering drug clofibrate.20, 22 Clofibrate was one of the first cholesterol medications considered for mass prevention, but the World Health Organization's (WHO) landmark clofibrate trial demonstrated increased adverse events, especially a rise in noncardiac mortality.25 However, current therapies for cardiovascular prevention, such as statins, have more favorable risk‐benefit profiles26 and a relatively low cost. For example, in Canada, generic statin medications range in price from US$0.20 to $0.40 per tablet, which is more expensive than in many other countries. Inexpensive medications with a low risk of harm, together with rising rates of chronic disease risk factors,27, 28 have been critical to the medicalization of prevention. This trend has culminated in the development of a “polypill,” a combination agent containing a low dose of antihypertensives, statins, and other cardioprotective drugs, which may be a cost‐effective and efficient strategy for the primary and secondary prevention of cardiovascular disease.29, 30 Attempts were made to include the polypill in the WHO's Model List of Essential Medicines for the secondary prevention of cardiovascular disease; however, the WHO rejected the applications, citing insufficient evidence for the polypill's efficacy, safety and cost‐effectiveness.31 Whether the polypill can or should be implemented at a population level is uncertain.
Critics argue that the expanding indications for pharmacotherapy through broader definitions of disease, which are often based on industry‐funded research, are tantamount to “disease mongering.”32, 33 In addition, including more people in the “high risk” category results in treating individuals with a small risk and less potential for benefit.34 The expansion of eligibility criteria for medication often depends more on the fidelity of risk prediction equations. Recent statin guidelines, for example, were found to rely on risk equations that systematically overpredicted cardiac risk.35 Expanding indications for therapy also have had a markedly different impact on socioeconomic and race groups.36 For example, two‐thirds of the Americans who are newly eligible for statins under the updated guidelines have no insurance, have a lower income, have less education, and/or are nonwhite. The population impact of these medications will be limited if the causes of treatment disparities, such as the lack of health insurance coverage, are not addressed.
Developments in Nutritional Research: From Isolated Nutrients to Dietary Patterns
PREDIMED Trial
In 2013, a major Spanish clinical trial, Prevention with Mediterranean Diet (PREDIMED), studied the impact of the Mediterranean diet on the primary prevention of cardiovascular disease. PREDIMED randomized patients at high risk for cardiovascular disease to follow either a Mediterranean diet, supplemented with olive oil or nuts, or a control diet based on reducing the consumption of all types of fat, which was the typical recommendation at the time from major disease prevention societies such as the American Heart Association (AHA). The Mediterranean diet is centered on fresh fruits, vegetables, legumes, nuts, olive oil, and a moderate intake of fish and wine.37 The results of this trial were striking, with the patients on a Mediterranean diet having significantly lower rates of myocardial infarction, stroke, and cardiovascular death, with a relative risk reduction of approximately 30%.
PREDIMED was criticized for the control group's relatively high fat intake, which was more than that recommended in the AHA's guidelines for a low‐fat diet (< 30% of total calories from fat).38, 39 Others cited the imbalance in baseline characteristics between the treatment and the control groups despite randomization, as well as concerns that the trial's early termination may have exaggerated the size of the intervention's effect.40 But PREDIMED is notable in that it is the only trial in primary prevention to demonstrate that a nutritional intervention could lower cardiovascular events and mortality. Both the PREDIMED trial and the Lyon Diet Heart Study,41 a secondary prevention trial published in 1999, support a paradigm shift toward emphasizing the importance of overall dietary patterns in cardiovascular health. These clinical trials are cited as promising advances in a field mired in controversy over spurious associations resulting from an overreliance on observational data.40
Moving Beyond Single Nutrients to Whole Diet
The relationship between diet and chronic disease has been studied intensively during the past 2 decades.42, 43, 44, 45 During this time, there has been a movement away from a focus on isolated nutrients toward examining the influence of specific foods and overall dietary patterns on disease. The focus on isolated nutrients in dietary recommendations emerged in the mid‐20th century with the discovery of diseases resulting from single nutrient deficiencies, such as rickets (vitamin D), beriberi (thiamine), and pellagra (niacin).46 In the context of cardiovascular disease, the single‐nutrient paradigm resulted in research focusing on saturated fats and cholesterol, an approach reflected in nutrient‐focused guidelines recommending a limited intake of these dietary components.41, 42
Research on the association between Mediterranean dietary patterns and cardiovascular disease has a long history, most notably Ancel Keys's Seven Countries Study.47, 48 This was a prospective cohort study that was initiated in 1958 and demonstrated large differences in dietary patterns, cardiovascular risk factors, and rates of coronary heart disease across the United States, Italy, Greece, Yugoslavia, Finland, the Netherlands, and Japan. Improved cardiovascular health and longer life expectancy were observed in populations in Greece and southern Italy, and these outcomes were thought to be associated with the traditional dietary patterns from these regions, the “Mediterranean Diet.”
Recognition of the importance of dietary patterns has broad implications for public health and health policy. According to a recent study by the US Burden of Disease Collaborators, dietary risk factors remain the most significant contributor to death and disability in the United States and were found to be associated with 26% of deaths and 14% of disability‐adjusted life years.49 US dietary guidelines already recommend a Mediterranean‐style diet for cardioprotection based on observational studies,50 and PREDIMED offers further support for this recommendation. Other national guidelines, such as Brazil's food‐based dietary guidelines, have made a more radical shift in emphasizing the importance of whole dietary patterns, stating that “diet is more than intake of nutrients,”51 with specific reference to the Mediterranean diet.
Important questions about the Mediterranean diet remain, including the benefit of “Mediterranean” supplements (ie, olive oil and nuts) in a “Western” diet, challenges in the implementation of this diet, and cultural factors that may limit its uptake. Fresh produce, high‐quality fats, and seafood are expensive compared with less healthy foods,52, 53 thus making cost a barrier to adherence.54 A cost‐utility analysis by Dalziel and colleagues suggested that a Mediterranean diet may be cost‐effective (but not necessarily affordable) for patients with previous myocardial infarction, but cost‐effectiveness has not been established for primary prevention.55
Major population‐level changes in diet would require significant societal changes. Global agriculture and food production are being increasingly consolidated into large transnational corporations, which are able to sell food at lower costs through economies of scale and control over an entire production chain.56 This industrial model of food production incentivizes the substitution of cheap, lower‐quality ingredients (sugar, salt, low‐quality fats and oils) to increase profit margins and aggressive marketing to promote overconsumption of energy‐dense foods to boost sales.56 The lower cost of unhealthy, processed food in the United States may also be exacerbated by agricultural subsidies for commodity crops such as corn versus other fruits and vegetables.57 The impact of these subsidies has been debated,58 however, with one study suggesting that they have had a minimal effect on increasing overall caloric consumption.59 Education campaigns and dietary guidelines may be more effective if paired with changes in the production and marketing of healthier foods and taxes or subsidies to incentivize healthier consumer choices.52, 60
As emerging research emphasizes the importance of broad dietary patterns, multiple policy approaches may be needed. Some current policies attempt to shift populations toward consuming healthier foods through a single‐nutrient paradigm. For example, sales taxes on sugar‐sweetened beverages may decrease calorie intake and improve health outcomes, and have an indirect benefit through the investment of tax revenues in public health initiatives.61 In Mexico, the implementation of an excise tax equivalent to $0.055 per liter of sugar‐sweetened beverages led to an 11% increase in the price of soda and a 7% decrease in per capita sales of sugar‐sweetened beverages.62 Some policies have targeted broader dietary patterns. Subsidies for fruits and vegetables resulted in a 2% to 5% increase in fruit consumption in the United States63 and may have averted 6,000 deaths in the United Kingdom.64 The relative population health impact of taxes or subsidies on isolated nutrients versus policies to shift overall dietary patterns requires further research.
Expensive Medicines: A Cure for Hepatitis C?
Direct‐Acting Antiviral Agents for Hepatitis C
The development of remarkably effective treatments for hepatitis C virus (HCV) infection are among the most significant recent breakthroughs in medical science. HCV is a significant cause of morbidity and mortality affecting 200 million people worldwide,65, 66 with the greatest country‐level burden in Egypt, where 1 in 10 individuals is infected as a legacy of schistosomiasis treatment campaigns with unclean needles.67, 68 In the United States, HCV was responsible for an estimated 20,000 deaths in 2014, making it the single greatest cause of infectious death, more than all other causes combined, including HIV, tuberculosis, and pneumococcal infections.69 These new treatments, known as direct‐acting antiviral agents (DAAVs), function by interacting directly with HCV proteins to prevent viral replication.70
The ION‐1 trial, published in 2014, is one of several studies that demonstrated the marked efficacy of DAAVs for the treatment of HCV infection.10 Older, interferon‐based treatment regimens achieved cure rates of around 40% for the most common genotype and were associated with significant side effects, such as influenza‐like symptoms, often resulting in the discontinuation of treatment.71, 72, 73 ION‐1 assessed a combination of 2 DAAVs, ledipasvir and sofosbuvir, in patients with previously untreated chronic HCV genotype 1 infection. These drugs far surpassed previous therapies in efficacy and were associated with fewer drug toxicities, with rates of sustained virologic response (which is equivalent to “cure” in hepatitis C infections) of 97% to 99%.
The response to DAAV regimens is variable, depending on the HCV genotype;70 for example, genotype 3 responds far less well to DAAVs.74 These differential cure rates based on genotype have important implications for treating the global HCV epidemic. Most advances in the use of DAAVs apply to genotype 1; other genotypes have been less well studied.75 Non–genotype 1 HCV is more prevalent outside the United States and Western Europe, and genotype 3 HCV is more prevalent in populations using intravenous drugs.75, 76, 77 “Pan‐genotypic” treatments that are equally effective against all genotypes are currently in late‐stage development. This would be a major advance, as it would eliminate the need for pretreatment genotype testing, which is unavailable in many resource‐limited settings and poses a barrier to care.75, 78
Expanding Medication Costs: Implications for the Treatment of a Common Disease
The medical and public health communities responded enthusiastically to the results of ION‐1 and other HCV trials, given the possibility of an effective “cure” for hepatitis C.79, 80 Cost, however, may limit the impact of these new therapies. A 12‐week course of sofosbuvir is estimated at around $84,000, which is prohibitive for most individuals who lack health insurance and could bankrupt public health systems in settings with high prevalence of HCV. Despite the high cost of patented medications, a recent study found that generic forms of these drugs could be produced for $100 to $250 per treatment course.81 Lower costs could help improve access to these medications in low‐ and middle‐income countries, which bear more than 80% of the worldwide burden of HCV infections. The US patents for these drugs do not expire until 2026–2029, and projections suggest an additional 6 million to 7.5 million people would die from HCV infections before generic production could begin.79
Parallels have been drawn between the global HCV and HIV epidemics in terms of the economic and ethical challenges raised by providing access to expensive medications.80 In the case of HIV, access to antiretroviral therapy was initially limited by high medication costs, and the pharmaceutical industry was heavily criticized as millions of people worldwide died due to lack of treatment. A combination of concerted activism, international funding, and global and national policymaking, along with cooperation from industry, resulted in increased access to therapy. Consequently, an annual course of antiretroviral treatment, which cost around $20,000 in the mid‐1990s, became available in some countries for less than $100.80
There is some cause for optimism with respect to improving lower‐income countries’ access to DAAVs. New HCV drugs were recently included in the WHO's Model List of Essential Medicines, which has been identified as a crucial step toward improving access.82 Indeed, the inclusion of antiretroviral HIV drugs on this list was key to improving access to these medications.80 Furthermore, the US pharmaceutical company Gilead Sciences, the maker of sofosbuvir, recently approved production of a generic form of this medication for distribution in selected low‐ and middle‐income countries.83 Nonetheless, critics argue that this move does not go far enough to ensure access to these medications, as many countries with high burdens of HCV were excluded from receiving the cheaper generic forms.84
Another reason for optimism is that HCV infection does not require lifelong therapy, and treatment durations are generally only 12 weeks, which will help limit overall costs. Unfortunately, this is not the case for many new therapies being developed for other chronic diseases or for infectious diseases such as HIV. For example, PCSK‐9 inhibitors are novel biological agents to treat dyslipidemia at a cost of approximately $15,000 per year and would be used for lifelong treatment.85, 86 The examples of DAAVs and PCSK‐9 inhibitors illustrate how the price‐inelastic demand for medications and the drug companies’ monopoly pricing power can result in expensive treatments that can be paid for only by third‐party payers (ie, governments and insurance companies), which has a substantial impact on total health care expenditure.86
Research on the Human Microbiome
Fecal Transplant for Clostridium Difficile Infections
Research on the role of commensal microbiota, the “human microbiome,” in health and disease has made significant advances over the past decade and is a promising area for translating knowledge from basic science to clinical medicine.87 Microbes make up our bodies in an approximately 1:1 ratio with human cells,88 and they play crucial roles in metabolism and immunity, among other functions that are only beginning to be understood.87, 89 One of the most successful clinical applications of research on the human microbiome is the treatment of Clostridium difficile infection. C. difficile infection is a major global health care challenge,90, 91 and it is the most common hospital‐acquired infection in the United States, with 453,000 cases reported in 2011, and 29,000 associated deaths.92 It is associated with significant health care costs, with an annual expenditure of approximately $1.5 billion in the United States and €3 billion in Europe.93, 94 The microbiome plays a crucial role in C. difficile infection, which most commonly results from disruption of native gut microbiota by antibiotic therapy.92 Suppressing the native flora enables pathogenic C. difficile spores to germinate and proliferate, producing exotoxins that cause inflammation and diarrhea. Given this mechanism of C. difficile infection, fecal microbiota transplantation (FMT) from individuals with “healthy” colonic bacteria was proposed as a means of normalizing the bacterial composition of the gut and eliminating infection.95
The idea of fecal transplantation for C. difficile is not new, with the first application reported in 1958.96, 97 However, data from RCTs studying this intervention emerged only recently, in parallel with the basic science explaining the underlying mechanism. The first RCT studying FMT was conducted in the Netherlands by van Nood and colleagues and published in 2013.11 This trial enrolled patients with recurrent C. difficile infections and randomized them to receive either FMT or oral vancomycin (the standard antibiotic treatment for relapsed or severe C. difficile infection). The results of the trial were striking: a cure after 10 weeks was observed in 94% of the patients who received FMT versus 31% who received vancomycin. This study also showed that FMT recipients experienced significant and sustained increases in microbial diversity, becoming indistinguishable from healthy donors following treatment. That is, recipients had increases in bacteria that matched those found in donors’ feces, suggesting that donor engraftment was a key mechanism in preventing a C. difficile relapse.
Although FMT is an example of successful translational research, several barriers prevent its widespread adoption. The mechanism of delivery of FMT often requires the infusion of donor feces into the small intestine via a tube inserted through the recipient's nose, a relatively invasive treatment protocol, which is being improved through newer innovations such as capsulized forms that can be taken orally like standard medication.11, 98 The widespread use of FMT also may require banking fecal material from a pool of anonymous screened donors, creating an infrastructure analogous to that of tissue or blood donation systems. New developments of monoclonal antibodies against C. difficile exotoxins may eventually reduce the need for FMT,99 but the use of FMT remains a notable milestone in clinical medicine as the first broad application of microbiome‐based therapy.
Harnessing the Human Microbiome to Improve Population Health—An Emerging Paradigm
As basic science and clinical research on the human microbiome advance, population health researchers have an important opportunity to engage with this research paradigm using methods such as widespread microbiome sampling, genetic sequencing, and metabolic analysis to address questions related to public health.100 For example, differences in the microbiome in human populations might provide insights into susceptibility to environmental or infectious agents, as well as geographic variations in the incidence of disease. Methods for studying the human microbiome may also provide tools for epidemiologists and public health researchers to track geographic changes in microbial composition, such as the response to the introduction of treatments like antibiotics.100
Research on the human microbiome may ultimately lead to widespread interventions that extend beyond C. difficile infections. FMT is now being used to treat other gastrointestinal diseases, such as inflammatory bowel diseases101 and patients colonized with multidrug resistant bacteria.102 These microbiome‐based approaches may become increasingly important as the medical and public health communities seek alternatives to antibiotic therapy in an age of increasing resistance.103, 104 While C. difficile and other gastrointestinal infections are the prototypical diseases understood to result from disturbances in the microbiome, emerging evidence for the role of microbiota in other disease states, such as cancer, atherosclerosis, and lung disease,89, 105 provides hope that further research in this area will enable novel preventative and therapeutic approaches.
Targeted Therapies in Oncology: The Promise and Limitation of Precision Medicine
Precision Immunotherapy for Metastatic Melanoma
Novel targeted therapies in the field of oncology are at the vanguard of “precision medicine,” an approach to clinical care that aims to tailor therapy to specific individuals.106, 107 Some of the most promising “precision” treatments in oncology are small molecule inhibitors and monoclonal antibodies targeted at cancer proteins with specific underlying mutations.108, 109, 110 Another related therapeutic development in oncology is precision immunotherapy, which upregulates the immune system's activity against cancer cells, thus enabling the body to more effectively attack and eradicate the malignancy.12
Several highly cited clinical trials demonstrated the efficacy of precision treatments to treat lung cancer, breast cancer, and melanoma.12, 108, 109, 110 An RCT by Larkin and colleagues12 tested 2 immunotherapies in advanced melanoma, ipilimumab and nivolumab, and found that this combination significantly improved progression‐free survival to 11.5 months, compared with a median progression‐free survival of 1.7 months for untreated patients.111
This trial also illustrated the importance of targeting these treatments to specific tumor characteristics, that is, precision immunotherapy.112 Nivolumab was designed to block the PD‐1 ligand (PD‐L1), the mechanism that some cancers use to escape the destruction of the immune system, and a greater progression‐free survival was observed in patients with tumors expressing PD‐L1. This precision approach stands in contrast to conventional chemotherapy, which utilizes nonspecific cytotoxic agents to destroy rapidly proliferating cancer cells and thus affects other rapidly dividing cells in the body, like hair, skin, and intestinal lining.
The precision therapy paradigm has led to new trial designs, in which treatment is allocated to specific genetic mutations, rather than the standard approach based on tumor location and pathology.113, 114 This represents a significant shift in our understanding of cancer, which is currently primarily categorized anatomically (eg, breast, lung, and colon cancer). While early trials produced underwhelming results,115 further studies such as the US National Cancer Institute Molecular Analysis for Therapy Choice (NCI‐MATCH) trial are under way to investigate the efficacy of molecularly targeted treatments.113, 116, 117 The US Food and Drug Administration recently approved the first “tumor agnostic” medicine in this class, pembrolizumab, which may be beneficial across a range of solid tumors that share common genetic features of high microsatellite instability or mismatch‐repair deficiency.118
Precision Medicine—How Will It Impact Population Health?
Precision medicine has gained significant momentum in recent years and now is a major focus of national science policy in the United States.106 In 2015, President Barack Obama launched the Precision Medicine Initiative, which pledged $215 million to research in this area.119, 120 Critical voices have emerged, however, highlighting the scientific and pragmatic limitations of this research paradigm in terms of clinical and public health impact.121, 122, 123, 124, 125 Clinical applications have been limited by the ability of genomic analysis to identify “driver mutations,” that is, the mutations that are ultimately responsible for tumor proliferation and thus are the targets of treatment.120 Additional issues such as tumor heterogeneity (cancer cells within a given tumor can demonstrate variations in gene expression) pose a further challenge to tailoring therapy through genetic markers. Finally, drug toxicity of these novel agents can be significant, as observed in clinical trials.12
Public health researchers have argued that the significant allocation of resources to precision medicine distracts from the social‐structural factors responsible for health inequities.124 Precision medicine privileges genetic‐level causation and may lead to the relative neglect of environmental and social determinants of health, which may have a greater impact on overall population health.123, 125 Currently known genetic factors have relatively small effect sizes in most cases, especially for common noncommunicable diseases.121, 123 Because precision therapies and diagnostic techniques come at such a high cost and with marginal benefit, rigorous cost‐effectiveness analysis is required before they are deployed on a population scale.120, 121
Comparative effectiveness research on precision medicine has been limited, and further work is essential to guide health policy.126 A specific challenge in the application of comparative effectiveness methods to precision medicine is the assessment of “personalized” treatments using accepted population‐based methodologies.127, 128 For example, it may not be possible to perform RCTs to evaluate therapies targeting rare genetic variants, leading regulatory agencies to use alternative approaches for drug approval (often relying on mechanistic evidence).129 Comparative effectiveness research is crucial to comparing the role of precision medicine with that of conventional clinical or public health interventions. Research has suggested that social and public health spending may provide greater aggregate benefit for population health than direct health spending does,130, 131 and this may be especially relevant for the expensive and individually tailored treatments offered by precision medicine.
Despite these challenges, precision medicine may also present an opportunity for public health. Initiatives that pair precision medicine with epidemiologic research may produce more robust prediction models by adding data on environmental and social context to genetic profiling.122 Khoury and colleagues argue that “for precision medicine to succeed, a population perspective is needed” and that population health sciences must play a key role to ensure that advances in precision medicine benefit population health in an equitable and cost‐effective manner.122
Precision medicine approaches may also be promising for “precision prevention.”122 For example, widespread use of genetic biomarkers may allow for tailoring of screening programs, an approach already being used for diseases such as breast cancer.122, 123, 132 Precision medicine's focus on epigenetic and genetic biomarkers, and the increasing affordability and availability of genomic technologies, may have important applications for public health by improving our ability to study the natural history of disease and to understand disparities in population health.122 Whether such data can be used in the real world to mitigate risk through behavioral changes or health care interventions is uncertain.121, 123
Discussion
In this article, we reviewed recent themes in clinical research and their implications for population health and public policy. We conclude by discussing crosscutting issues that bridge the themes identified above. These issues include (1) the blurring distinction between clinical and population health interventions, (2) the impact of clinical innovations on health disparities and vulnerable populations, and (3) the financial costs of medical advances and their impact on other forms of social and public health spending.
First, a major theme in our article is the intersection between populationwide strategies to improve health and more targeted interventions. This distinction is central to Rose's population strategy versus high‐risk strategies for disease prevention.22 Major advances in clinical medicine, however, have blurred the distinction between these approaches, as seen with the newest blood pressure and cholesterol treatment guidelines.6, 7 The traditional population health approach to chronic disease prevention through structural and social change needs to be reframed to account for the reality of a medicalized population in which nearly half of the adult US population is eligible for pharmacotherapy.14 Medication may be an effective means of controlling high‐prevalence chronic disease, given that the implementation of population strategies has been limited and evaluation to prove efficacy has been challenging. For example, despite extensive research and policy interventions to reduce obesity rates, no country has yet been able to reverse the obesity epidemic.133 In addition to underlying structural factors, the lack of any medical therapy for obesity that can be applied at the population level may be one reason why population‐level prevention has not succeeded in lowering obesity rates in high‐income countries and in slowing their rise in many low‐ and middle‐income countries.27 Contrast this with hypertension, for which the development of effective medications has helped control population‐level blood pressure,134 and also with mortality rates of cardiovascular disease, which have dropped substantially with advances in medical therapy.135 Medication‐based interventions may rely less on individual agency than do approaches targeting broader health behaviors such as exercise or diet, and therefore they could be effective in reducing health inequalities if applied in conjunction with efforts to address underlying structural factors that drive differential access and use of medication.
Precision medicine may also blur the distinction between Rose's population strategy and high‐risk strategies. While precision therapy may represent the pinnacle of targeted interventions, the emerging idea of “precision public health” leverages knowledge from precision medicine to develop a population strategy for prevention that utilizes population‐level genetic and epigenetic data to better understand the environmental factors that contribute to disease incidence.122 Khoury and colleagues described the similarities between these approaches: “If precision medicine is about providing the right treatment to the right patient at the right time, precision public health can be simply viewed as providing the right intervention to the right population at the right time.” The health impact, financial costs, and ethical implications of populationwide applications of genomic technologies require further study.
Second, at a time of rising health disparities,136, 137 it is important to consider not only the impact that new technologies will have on overall population health but also the potential effects on health inequalities and vulnerable populations. For example, earlier initiatives such as cervical cancer screening and smoking cessation campaigns have been shown to preferentially benefit individuals of higher socioeconomic status, thereby widening health disparities.138, 139 Likewise, the application of new cholesterol or blood pressure guidelines may worsen health disparities because of treatment gaps related to socioeconomic status, race, and access to health insurance.36 Even in countries like Canada with public health coverage, unequal access to specialty care and procedures is associated with health disparities among socioeconomic groups.140, 141 Studies examining the introduction of highly active antiretroviral therapy for HIV demonstrated that the provision of cost‐free medications alone was insufficient to reduce unequal health outcomes for groups of lower socioeconomic status, suggesting that other factors such as access to medications and adherence to treatment regimens contributed to persistent inequalities.142, 143, 144, 145 This lesson from the HIV epidemic is particularly salient given the enormous strides in HCV treatment, and the important barriers in access to medication for groups with low socioeconomic status and in low‐income countries where the majority of HCV patients reside. Initiatives geared toward improving access to therapy must be paired with campaigns to address the structural factors that prevent disadvantaged groups from engaging with health care or receiving treatment. This includes participatory initiatives that engage local communities while recognizing and respecting the socially and culturally specific determinants of health for particular marginalized peoples.146, 147
Third, another important issue raised in our article is the financial cost that would be associated with the implementation of medical advances. Even though the annual individual cost is relatively low for statins and many blood pressure medications,148 the lifelong use of these therapies by nearly half the American population would result in enormous costs to the health care system. The use of DAAVs for HCV would also have significant system costs because of the very high individual cost of treatment combined with a prevalence of HCV that is as high as 10% in countries such as Egypt.68 These therapies could also produce cost savings for health care systems by preventing myocardial infarctions in the case of statins and antihypertensives, or complications of HCV (such as cirrhosis and hepatocellular carcinoma) in the case of DAAVs. Population‐level cost‐benefit analysis is required as new indications and new therapies are developed.
The use of FMT would require the type of infrastructure that has been built for blood transfusion services, for which the on‐demand provision of a biologic product requires resources for collection, screening, storing, and distribution. Precision medicine requires extensive financial investment for research and development, and precision therapies that have gained regulatory approval are among the most expensive medications used in clinical practice.121 Finally, whole‐scale changes in diet on the population level necessitate a fundamental alteration of our model of food production, marketing, and distribution, which would essentially be a transformation of one entire pillar of the modern economy. Collectively, these examples illustrate that the societal disruption and financial costs associated with the implementation of medical advances are substantial. In single‐payer health systems in which health care costs already are a high percentage of total tax revenue, the further expansion of health care costs may require increasing taxation rates or reallocating other public resources. In private payer–based systems, expensive therapeutics will undoubtedly drive further inequalities in access to high‐quality health care.
Our article has several limitations. Despite our selection of high‐impact general medical journals, the articles we reviewed focused on conditions related to internal medicine and thus may be less representative of developments in, for instance, pediatrics, mental health, and surgery. The journals we selected do publish the highest‐impact research in these non–internal medicine fields, and therefore our article selection may reflect a greater focus on and more resource allocation to internal medicine within clinical research. We organized our literature search according to the number of citations, a metric that offers only a surrogate measure of impact not necessarily reflective of the actual clinical impact of a trial or predictive of a study's future influence. Furthermore, there is a bias toward selecting articles published earlier during the time period examined. Our analysis of the most‐cited articles identified several themes, not all of which we were able to explore here. Notable themes not discussed include trials on endovascular treatment of stroke149, 150, 151, 152 and studies of HIV pre‐exposure prophylaxis.153, 154, 155 Our assessment of clinical novelty and impact was based on whether an article or theme changed the understanding/paradigm of disease, and we acknowledge that there are other definitions/approaches to determine this. For example, although endovascular therapy for stroke represents an important clinical therapy,149 the published studies represent a refinement of existing therapeutic paradigms regarding ischemic stroke, such as the use of tissue plasminogen activator156 or the application of techniques already being developed for similar disease models, like thrombectomy for myocardial infarction.157 Accordingly, we did not discuss the theme of thrombectomy for stroke. We recognize that the impact on clinical and population health is difficult to predict and that the criteria we used for selection are subject to differing interpretations based on authors’ views and opinions. Our article, therefore, is not a systematic or comprehensive review of recent clinical literature but rather represents our perspective, as experts in clinical, population health, and health services research, based on a thorough review of high‐impact studies that we believed would be informative for nonclinicians. Another limitation of our article is that we do not provide a comparative effectiveness analysis of the populationwide and targeted interventions discussed, as the data to make these comparisons are not currently available. Such an analysis is indeed crucial to inform health policy. Despite these limitations, we hope that this article will stimulate an interdisciplinary dialogue about the population impact of novel technologies and how they might be implemented in a manner that ensures more equitable and cost‐effective access.
Funding/Support
None.
Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. No conflicts were reported.
References
- 1. Green LW, Ottoson JM, García C, Hiatt RA. Diffusion theory and knowledge dissemination, utilization, and integration in public health. Ann Rev Public Health. 2009;30(1):151‐174. [DOI] [PubMed] [Google Scholar]
- 2. Schuster MA, McGlynn EA, Brook RH. How good is the quality of health care in the United States? Milbank Q. 1998;83(4):843‐895. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Grol R. Successes and failures in the implementation of evidence‐based guidelines for clinical practice. Med Care. 2001;39(8):46‐54. [DOI] [PubMed] [Google Scholar]
- 4. Haines A, Kuruvilla S, Borchert M. Bridging the gap between knowledge and action for health. Bull World Health Organ. 2006;84(8):603‐607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Guyatt GH, Oxman AD, Vist GE, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336(7650):924‐926. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Research Group SPRINT. A randomized trial of intensive versus standard blood‐pressure control. N Engl J Med. 2015;373(22):2103‐2116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Stone NJ, Robinson JG, Lichtenstein AH, et al. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology / American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129(25 Suppl. 2):S1‐S45. [DOI] [PubMed] [Google Scholar]
- 8. Whelton PK, Carey RM, Aronow WS, et al. 2017. ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults. J Am Coll Cardiol. 2017. [DOI] [PubMed] [Google Scholar]
- 9. Estruch R, Ros E, Salas‐Salvadó J, et al. Primary prevention of cardiovascular disease with a Mediterranean diet. N Engl J Med. 2013;368(14):1279‐1290. [DOI] [PubMed] [Google Scholar]
- 10. Afdhal N, Zeuzem S, Kwo P, et al. Ledipasvir and sofosbuvir for untreated HCV genotype 1 infection. N Engl J Med. 2014;370(20):1889‐1898. [DOI] [PubMed] [Google Scholar]
- 11. van Nood E, Vrieze A , Nieuwdorp M, et al. Duodenal infusion of donor feces for recurrent Clostridium difficile . N Engl J Med. 2013;368(5):407‐415. [DOI] [PubMed] [Google Scholar]
- 12. Larkin J, Chiarion‐Sileni V, Gonzalez R, et al. Combined nivolumab and ipilimumab or monotherapy in untreated melanoma. N Engl J Med. 2015;373(1):23‐34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. US Preventive Services Task Force . Final Recommendation Statement: Statin Use for the Primary Prevention of Cardiovascular Disease in Adults: Preventive Medication . November 2016.
- 14. Pencina MJ, Navar‐Boggan AM, D'Agostino RB Sr, et al. Application of new cholesterol guidelines to a population‐based sample. N Engl J Med. 2014;370(15):1422‐1431. [DOI] [PubMed] [Google Scholar]
- 15. James PA, Oparil S, Carter BL, et al. 2014 Evidence‐based guideline for the management of high blood pressure in adults. JAMA. 2014;311(5):507‐514. [DOI] [PubMed] [Google Scholar]
- 16. Laupacis A, Sackett DL, Roberts RS. An assessment of clinically useful measures of the consequences of treatment. N Engl J Med. 1988;318(26):1728‐1733. [DOI] [PubMed] [Google Scholar]
- 17. Ruiz‐Hurtado G, Banegas JR, Sarafidis PA, Volpe M, Williams B, Ruilope LM. Has the SPRINT trial introduced a new blood‐pressure goal in hypertension? Natl Rev Cardiol. 2017;14(9):560‐566. [DOI] [PubMed] [Google Scholar]
- 18. Leung AA, Nerenberg K, Daskalopoulou SS, et al. Hypertension Canada's 2016 Canadian Hypertension Education Program guidelines for blood pressure measurement, diagnosis, assessment of risk, prevention, and treatment of hypertension. Can J Cardiol. 2016;32(5):569‐588. [DOI] [PubMed] [Google Scholar]
- 19. Muntner P, Carey RM, Gidding S, et al. Potential U.S. population impact of the 2017 American College of Cardiology/American Heart Association High Blood Pressure Guideline. J Am Coll Cardiol. 2018;71(2):109‐118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Razak F, Smith GD, Subramanian SV. The idea of uniform change: is it time to revisit a central tenet of Rose's “Strategy of Preventive Medicine”? Am J Clin Nutr. 2016;104(6):1497‐1507. [DOI] [PubMed] [Google Scholar]
- 21. Berkman LF, Kawachi I, Glymour MM. Social Epidemiology. New York, NY: Oxford University Press; 2014. [Google Scholar]
- 22. Rose GA, Khaw KT, Marmot MG. Rose's Strategy of Preventive Medicine: The Complete Original Text. New York, NY: Oxford University Press; 2008. [Google Scholar]
- 23. Zulman DM, Vijan S, Omenn GS, Hayward RA. The relative merits of population‐based and targeted prevention strategies. Milbank Q. 2008;86(4):557‐580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Rose G. Sick individuals and sick populations. Int J Epidemiol. 1985;14(1):32‐38. [DOI] [PubMed] [Google Scholar]
- 25. Oliver M. The clofibrate saga: a retrospective commentary. Br J Clin Pharmacol. 2012;74(6):907‐910. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Collins R, Reith C, Emberson J, et al. Interpretation of the evidence for the efficacy and safety of statin therapy. Lancet. 2016;388(10059):2532‐2561. [DOI] [PubMed] [Google Scholar]
- 27. Trends in adult body‐mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population‐based measurement studies with 19.2 million participants. Lancet. 2016;387(10026):1377‐1396. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Bin Zhou, Bentham J, Di Cesare M, et al. Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population‐based measurement studies with 19.1 million participants. Lancet. 2017;389(10064):37‐55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Castellano JM, Bueno H, Fuster V. The cardiovascular polypill: clinical data and ongoing studies. Int J Cardiol. 2015;201(Suppl. 1):S8‐S14. [DOI] [PubMed] [Google Scholar]
- 30. Webster R, Rodgers A. Polypill treatments for cardiovascular diseases. Expert Opinion on Drug Deliv. 2015;13(1):1‐6. [DOI] [PubMed] [Google Scholar]
- 31. Huffman MD, Yusuf S. Polypills: essential medicines for cardiovascular disease secondary prevention? J Am Coll Cardiol. 2014;63(14):1368‐1370. [DOI] [PubMed] [Google Scholar]
- 32. Alonso‐Coello P, García‐Franco AL, Guyatt G, Moynihan R. Drugs for pre‐osteoporosis: prevention or disease mongering? BMJ. 2008;336(7636):126‐129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Moynihan R, Heath I, Henry D. Selling sickness: the pharmaceutical industry and disease mongering. BMJ. 2002;324(7342):886‐891. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Chiolero A, Paradis G, Paccaud F. The pseudo‐high‐risk prevention strategy. Int J Epidemiol. 2015;44(5):1469‐1473. [DOI] [PubMed] [Google Scholar]
- 35. Ridker PM, Cook NR. Statins: new American guidelines for prevention of cardiovascular disease. Lancet. 2013;382(9907):1762‐1765. [DOI] [PubMed] [Google Scholar]
- 36. Verma AA, Jimenez MP, Subramanian SV, Sniderman AD, Razak F. Race and socioeconomic differences associated with changes in statin eligibility under the 2013 American College of Cardiology / American Heart Association cholesterol guidelines. Circ Cardiovasc Quality Outcomes. 2017;10(9):e003764. [DOI] [PubMed] [Google Scholar]
- 37. Mozaffarian D, Appel LJ, Van Horn L. Components of a cardioprotective diet: new insights. Circulation. 2011;123(24):2870‐2891. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Appel LJ, Van Horn L. Did the PREDIMED trial test a Mediterranean diet? N Engl J Med. 2013;368(14):1353‐1354. [DOI] [PubMed] [Google Scholar]
- 39. Mediterranean diet for primary prevention of cardiovascular disease. N Engl J Med. 2013;369(7):672‐677. [DOI] [PubMed] [Google Scholar]
- 40. Ioannidis JPA. Implausible results in human nutrition research. BMJ. 2013;347:f6698. [DOI] [PubMed] [Google Scholar]
- 41. de Lorgeril M, Salen P , Martin JL, Monjaud I, Delaye J, Mamelle N. Mediterranean diet, traditional risk factors, and the rate of cardiovascular complications after myocardial infarction: final report of the Lyon Diet Heart Study. Circulation. 1999;99(6):779‐785. [DOI] [PubMed] [Google Scholar]
- 42. Micha R, Peñalvo JL, Cudhea F, Imamura F, Rehm CD, Mozaffarian D. Association between dietary factors and mortality from heart disease, stroke, and type 2 diabetes in the United States. JAMA. 2017;317(9):912‐913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Hu FB, Stampfer MJ, Manson JE, et al. Trends in the incidence of coronary heart disease and changes in diet and lifestyle in women. N Engl J Med. 2000;343(8):530‐537. [DOI] [PubMed] [Google Scholar]
- 44. O'Donnell M, Mente A, Rangarajan S, et al. Urinary sodium and potassium excretion, mortality, and cardiovascular events. N Engl J Med. 2014;371(7):612‐623. [DOI] [PubMed] [Google Scholar]
- 45. Iqbal R, Anand S, Ounpuu S, et al. Dietary patterns and the risk of acute myocardial infarction in 52 countries: results of the INTERHEART study. Circulation. 2008;118(19):1929‐1937. [DOI] [PubMed] [Google Scholar]
- 46. Mozaffarian D. Dietary and policy priorities for cardiovascular disease, diabetes, and obesity. Circulation. 2016;133(2):187‐225. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Tracy SW. Something new under the sun? The Mediterranean diet and cardiovascular health. N Engl J Med. 2013;368(14):1274‐1276. [DOI] [PubMed] [Google Scholar]
- 48. Keys A. Mediterranean diet and public health: personal reflections. Am J Clin Nutr. 1995;61(6 Suppl.):1321S‐1323S. [DOI] [PubMed] [Google Scholar]
- 49. Murray CJL. The state of US health, 1990–2010. JAMA. 2013;310(6):591‐618. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. US Department of Health and Human Services and US Department of Agriculture . 2015–2020 Dietary Guidelines for Americans . 8th ed. http://health.gov/dietaryguidelines/2015/guidelines/. Published December 2015. Accessed March 23, 2018.
- 51. Ministry of Health . Dietary Guidelines for the Brazilian Population. Brasília: Ministry of Health; 2014. [Google Scholar]
- 52. Rao M, Afshin A, Singh G, Mozaffarian D. Do healthier foods and diet patterns cost more than less healthy options? A systematic review and meta‐analysis. BMJ Open. 2013;3(12):e004277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Drewnowski A, Eichelsdoerfer P. The Mediterranean diet: does it have to cost more? Public Health Nutr. 2009;12(9A):1621‐1628. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Bonaccio M, Bonanni AE, Di Castelnuovo A, et al. Low income is associated with poor adherence to a Mediterranean diet and a higher prevalence of obesity: cross‐sectional results from the Moli‐sani study. BMJ Open. 2012;2(6):e001685‐1710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Dalziel K, Segal L, de Lorgeril M. A Mediterranean diet is cost‐effective in patients with previous myocardial infarction. J Nutr. 2006;136(7):1879‐1885. [DOI] [PubMed] [Google Scholar]
- 56. Chopra M, Darnton‐Hill I. Tobacco and obesity epidemics: not so different after all? BMJ. 2004;328(7455):1558‐1560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. The editors . For a healthier country, overhaul farm subsidies. Scientific American. May 2012. [Google Scholar]
- 58. Harvie A, Wise TA. Sweetening the pot: implicit subsidies to corn sweeteners and the US obesity epidemic GDAE Policy Brief. Medford, OR: Global Development and Environment Institute; 2009. [Google Scholar]
- 59. Rickard BJ, Okrent AM, Alston JM. How have agricultural policies influenced caloric consumption in the United States? Health Econ. 2013;22(3):316‐339. [DOI] [PubMed] [Google Scholar]
- 60. Mozaffarian D, Afshin A, Benowitz NL, Bittner V. Population approaches to improve diet, physical activity, and smoking habits. Circulation. 2012;126(12):1514‐1563. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Brownell KD, Farley T, Willett WC, Popkin BM. The public health and economic benefits of taxing sugar‐sweetened beverages. N Engl J Med. 2009;361(16):1599‐1605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Colchero MA, Guerrero‐López CM, Molina M, Rivera JA. Beverages sales in Mexico before and after implementation of a sugar sweetened beverage tax. PLoS ONE. 2016;11(9):e0163463‐8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Dong D, Lin B. Fruit and vegetable consumption by low‐income Americans: would a price reduction make a difference? Economic Research Report. No. 70. Washington, DC: US Department of Agriculture, Economic Research Service; 2009. [Google Scholar]
- 64. Nnoaham KE, Sacks G, Rayner M, Mytton O, Gray A. Modelling income group differences in the health and economic impacts of targeted food taxes and subsidies. Int J Epidemiol. 2009;38(5):1324‐1333. [DOI] [PubMed] [Google Scholar]
- 65. Global Burden of Disease Study 2013 Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386(9995):743‐800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Mohd Hanafiah K, Groeger J, Flaxman AD, Wiersma ST. Global epidemiology of hepatitis C virus infection: new estimates of age‐specific antibody to HCV seroprevalence. Hepatol. 2013;57(4):1333‐1342. [DOI] [PubMed] [Google Scholar]
- 67. Frank C, Mohamed MK, Strickland GT, et al. The role of parenteral antischistosomal therapy in the spread of hepatitis C virus in Egypt. Lancet. 2000;355(9207):887‐891. [DOI] [PubMed] [Google Scholar]
- 68. Kandeel A, Genedy M, El‐Refai S, Funk AL, Fontanet A, Talaat M. The prevalence of hepatitis C virus infection in Egypt 2015: implications for future policy on prevention and treatment. Liver Int. 2016;37(1):45‐53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Ly KN, Hughes EM, Jiles RB, Holmberg SD. Rising Mortality Associated With Hepatitis C Virus in the United States, 2003-2013. Clin Infect Dis. 2016;62(10):1287‐1288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. D'Ambrosio R, Degasperi E, Colombo M, Aghemo A. Direct‐acting antivirals: the endgame for hepatitis C? Curr Opinion Virology. 2017;24:31‐37. [DOI] [PubMed] [Google Scholar]
- 71. Liang TJ, Ghany MG. Therapy of hepatitis C—back to the future. N Engl J Med. 2014;370(21):2043‐2047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. McHutchison JG, Gordon SC, Schiff ER. Interferon alfa‐2b alone or in combination with ribavirin as initial treatment for chronic hepatitis C. N Engl J Med. 1998;339(21):1485‐1492. [DOI] [PubMed] [Google Scholar]
- 73. Fried MW, Shiffman ML, Reddy KR, et al. Peginterferon alfa‐2a plus ribavirin for chronic hepatitis C virus infection. N Engl J Med. 2002;347(13):975‐982. [DOI] [PubMed] [Google Scholar]
- 74. Zeuzem S, Dusheiko GM, Salupere R, et al. Sofosbuvir and ribavirin in HCV genotypes 2 and 3. N Engl J Med. 2014;370(21):1993‐2001. [DOI] [PubMed] [Google Scholar]
- 75. Messina JP, Humphreys I, Flaxman A, et al. Global distribution and prevalence of hepatitis C virus genotypes. Hepatol. 2015;61(1):77‐87. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Ruta S, Cernescu C. Injecting drug use: a vector for the introduction of new hepatitis C virus genotypes. World J Gastroenterol. 2015;21(38):10811‐10823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Blach S, Zeuzem S, Manns M, et al. Global prevalence and genotype distribution of hepatitis C virus infection in 2015: a modelling study. Lancet Gastroenterol Hepatol. 2017;2(3):161‐176. [DOI] [PubMed] [Google Scholar]
- 78. Feld JJ, Jacobson IM, Hézode C, et al. Sofosbuvir and velpatasvir for HCV genotype 1, 2, 4, 5, and 6 infection. N Engl J Med. 2015;373(27):2599‐2607. [DOI] [PubMed] [Google Scholar]
- 79. Hill A, Cooke G. Hepatitis C can be cured globally, but at what cost? Science. 2014;345(6193):141‐142. [DOI] [PubMed] [Google Scholar]
- 80. Jayasekera CR, Barry M, Roberts LR, Nguyen MH. Treating hepatitis C in lower‐income countries. N Engl J Med. 2014;370(20):1869‐1871. [DOI] [PubMed] [Google Scholar]
- 81. Hill A, Khoo S, Fortunak J, Simmons B, Ford N. Minimum costs for producing hepatitis C direct‐acting antivirals for use in large‐scale treatment access programs in developing countries. Clin Infect Dis. 2014;58(7):928‐936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. McNeil DG Jr. Hepatitis C drugs added to W.H.O. list of essential medicines. New York Times. May 8, 2015. [Google Scholar]
- 83. McNeil DG Jr. Curing hepatitis C, in an experiment the size of Egypt. New York Times. December 15, 2015. [Google Scholar]
- 84. Harris G. Maker of costly hepatitis C drug sovaldi strikes deal on generics for poor countries. New York Times. September 15, 2014. [Google Scholar]
- 85. Shimada YJ, Cannon CP. PCSK9 (Proprotein convertase subtilisin/kexin type 9) inhibitors: past, present, and the future. Eur Heart J. 2015;36(36):2415‐2424. [DOI] [PubMed] [Google Scholar]
- 86. Schulman KA, Balu S, Reed SD. Specialty pharmaceuticals for hyperlipidemia—impact on insurance premiums. N Engl J Med. 2015;373(17):1591‐1593. [DOI] [PubMed] [Google Scholar]
- 87. Shanahan F. The gut microbiota in 2011: translating the microbiota to medicine. Natl Rev Microbiol. 2011;9(2):72‐74. [DOI] [PubMed] [Google Scholar]
- 88. Sender R, Fuchs S, Milo R. Are we really vastly outnumbered? Revisiting the ratio of bacterial to host cells in humans. Cell. 2016;164(3):337‐340. [DOI] [PubMed] [Google Scholar]
- 89. Young VB. The role of the microbiome in human health and disease: an introduction for clinicians. BMJ. 2017;356:j831. [DOI] [PubMed] [Google Scholar]
- 90. Martin JSH, Monaghan TM, Wilcox MH. Clostridium difficile infection: epidemiology, diagnosis and understanding transmission. Natl Rev Gastroenterol Hepatol. 2016;13(4):206‐216. [DOI] [PubMed] [Google Scholar]
- 91. Lessa FC, Mu Y, Bamberg WM, et al. Burden of Clostridium difficile infection in the United States. N Engl J Med. 2015;372(9):825‐834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92. Leffler DA, Lamont JT. Clostridium difficile infection. N Engl J Med. 2015;372(16):1539‐1548. [DOI] [PubMed] [Google Scholar]
- 93. Zimlichman E, Henderson D, Tamir O, et al. Health care–associated infections. JAMA Intern Med. 2013;173(22):2039‐2046. [DOI] [PubMed] [Google Scholar]
- 94. Kuijper EJ, Coignard B, Tüll P, ESCMID Study Group for Clostridium difficile, EU Member States, European Centre for Disease Prevention and Control. Emergence of Clostridium difficile–associated disease in North America and Europe. Clin Microbiol Infect. 2006;12(Suppl. 6):2‐18. [DOI] [PubMed] [Google Scholar]
- 95. Khoruts A, Sadowsky MJ. Understanding the mechanisms of faecal microbiota transplantation. Natl Rev Microbiol. 2016;13(9):508‐516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Eiseman B, Silen W, Bascom GS, Kauvar AJ. Fecal enema as an adjunct in the treatment of pseudomembranous enterocolitis. Surgery. 1958;44(5):854‐859. [PubMed] [Google Scholar]
- 97. Kelly CP. Fecal microbiota transplantation—an old therapy comes of age. N Engl J Med. 2013;368(5):474‐475. [DOI] [PubMed] [Google Scholar]
- 98. Youngster I, Russell GH, Pindar C, Ziv‐Baran T, Sauk J, Hohmann EL. Oral, capsulized, frozen fecal microbiota transplantation for relapsing Clostridium difficile infection. JAMA. 2014;312(17):1772‐1777. [DOI] [PubMed] [Google Scholar]
- 99. Wilcox MH, Gerding DN, Poxton IR, et al. Bezlotoxumab for prevention of recurrent Clostridium difficile infection. N Engl J Med. 2017;376(4):305‐317. [DOI] [PubMed] [Google Scholar]
- 100. Foxman B, Rosenthal M. Implications of the Human Microbiome Project for epidemiology. Am J Epidemiol. 2013;177(3):197‐201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Paramsothy S, Kamm MA, Kaakoush NO, et al. Multidonor intensive faecal microbiota transplantation for active ulcerative colitis: a randomised placebo‐controlled trial. Lancet. 2017;389(10075):1218‐1228. [DOI] [PubMed] [Google Scholar]
- 102. Manges AR, Steiner TS, Wright AJ. Fecal microbiota transplantation for the intestinal decolonization of extensively antimicrobial‐resistant opportunistic pathogens: a review. Infect Dis. 2016;48(8):587‐592. [DOI] [PubMed] [Google Scholar]
- 103. Silbergeld EK, Graham J, Price LB. Industrial food animal production, antimicrobial resistance, and human health. Ann Rev Public Health. 2008;29(1):151‐169. [DOI] [PubMed] [Google Scholar]
- 104. Bush K, Courvalin P, Dantas G, et al. Tackling antibiotic resistance. Natl Rev Microbiol. 2011;9(12):894‐896. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105. Lynch SV, Pedersen O. The human intestinal microbiome in health and disease. N Engl J Med. 2016;375(24):2369‐2379. [DOI] [PubMed] [Google Scholar]
- 106. Collins FS, Varmus H. A new initiative on precision medicine. N Engl J Med. 2015;372(9):793‐795. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. US Department of Health and Human Services . National Institutes of Health—All of Us Research Program . 2017. http://allofus.nih.gov. Accessed March 23, 2018.
- 108. Shaw AT, Kim D‐W, Nakagawa K, et al. Crizotinib versus chemotherapy in advanced ALK‐positive lung cancer. N Engl J Med. 2013;368(25):2385‐2394. [DOI] [PubMed] [Google Scholar]
- 109. Verma S, Miles D, Gianni L, et al. Trastuzumab emtansine for HER2‐positive advanced breast cancer. N Engl J Med. 2012;367(19):1783‐1791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110. Hauschild A, Grob JJ, Demidov LV, et al. Dabrafenib in BRAF‐mutated metastatic melanoma: a multicentre, open‐label, phase 3 randomised controlled trial. Lancet. 2012;380(9839):358‐365. [DOI] [PubMed] [Google Scholar]
- 111. Korn EL, Liu P‐Y, Lee SJ, et al. Meta‐analysis of phase II cooperative group trials in metastatic stage IV melanoma to determine progression‐free and overall survival benchmarks for future phase II trials. J Clin Oncol. 2008;26(4):527‐534. [DOI] [PubMed] [Google Scholar]
- 112. Deng X, Nakamura Y. Cancer precision medicine: from cancer screening to drug selection and personalized immunotherapy. Trends in Pharmacol Sci. 2017;38(1):15‐24. [DOI] [PubMed] [Google Scholar]
- 113. Biankin AV, Piantadosi S, Hollingsworth SJ. Patient‐centric trials for therapeutic development in precision oncology. Nature. 2015;526(7573):361‐370. [DOI] [PubMed] [Google Scholar]
- 114. Catenacci DVT. Next‐generation clinical trials: novel strategies to address the challenge of tumor molecular heterogeneity. Mol Oncol. 2015;9(5):967‐996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115. Le Tourneau C, Delord J‐P , Gonçalves A, et al. Molecularly targeted therapy based on tumour molecular profiling versus conventional therapy for advanced cancer (SHIVA): a multicentre, open‐label, proof‐of‐concept, randomised, controlled phase 2 trial. Lancet Oncol. 2015;16(13):1324‐1334. [DOI] [PubMed] [Google Scholar]
- 116. Mullard A. NCI‐MATCH trial pushes cancer umbrella trial paradigm. Natl Rev Drug Discovery. 2015;14(8):513‐515. [DOI] [PubMed] [Google Scholar]
- 117. McNeil C. NCI‐MATCH launch highlights new trial design in precision‐medicine era. J Natl Cancer Inst. 2015;107(7). [DOI] [PubMed] [Google Scholar]
- 118. National Cancer Institute . NCI Annual Plan & Budget Proposal for Fiscal Year 2019 . August 2017.
- 119. Precision Medicine Initiative . Obama White House Archives website. 2015. https://obamawhitehouse.archives.gov/node/333101. Accessed March 23, 2018.
- 120. Tannock IF, Hickman JA. Limits to personalized cancer medicine. N Engl J Med. 2016;375(13):1289‐1294. [DOI] [PubMed] [Google Scholar]
- 121. Joyner MJ, Paneth N. Seven questions for personalized medicine. JAMA. 2015;314(10):999‐1002. [DOI] [PubMed] [Google Scholar]
- 122. Khoury MJ, Iademarco MF, Riley WT. Precision public health for the era of precision medicine. Am J Prev Med. 2016;50(3):398‐401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123. Khoury MJ, Galea S. Will precision medicine improve population health? JAMA. 2016;316(13):1357‐1362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Bayer R, Galea S. Public health in the precision‐medicine era. N Engl J Med. 2015;373(6):499‐501. [DOI] [PubMed] [Google Scholar]
- 125. Gamma A. Personalized and precision medicine In: Solomon M, Simon J, Kincaid H, eds. The Routledge Companion to Philosophy of Medicine. New York, NY: Routledge–Taylor & Francis; 2017. [Google Scholar]
- 126. Phillips KA, Deverka PA, Sox HC, et al. Making genomic medicine evidence‐based and patient‐centered: a structured review and landscape analysis of comparative effectiveness research. Natl Rev Microbiol. 2017;19(10):1081‐1091. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127. Garber AM, Tunis SR. Does comparative‐effectiveness research threaten personalized medicine? N Engl J Med. 2009;360(19):1925‐1927. [DOI] [PubMed] [Google Scholar]
- 128. Khoury MJ, Rich EC, Randhawa G, Teutsch SM, Niederhuber J. Comparative effectiveness research and genomic medicine: an evolving partnership for 21st century medicine. Genet Med. 2009;11(10):707‐711. [DOI] [PubMed] [Google Scholar]
- 129. Tonelli MR, Shirts BH. Knowledge for precision medicine. JAMA. 2017;318(17):1649‐1652. [DOI] [PubMed] [Google Scholar]
- 130. Bradley EH, Canavan M, Rogan E, et al. Variation in health outcomes: the role of spending on social services, public health, and health care, 2000–09. Health Aff. 2016;35(5):760‐768. [DOI] [PubMed] [Google Scholar]
- 131. Dutton DJ, Forest P‐G, Kneebone RD, Zwicker JD. Effect of provincial spending on social services and health care on health outcomes in Canada: an observational longitudinal study. Can Med Assoc J. 2018;190(3):E66‐E71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Maas P, Barrdahl M, Joshi AD, et al. Breast cancer risk from modifiable and nonmodifiable risk factors among white women in the United States. JAMA Oncol. 2016;2(10):1295‐1298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Roberto CA, Swinburn B, Hawkes C, et al. Patchy progress on obesity prevention: emerging examples, entrenched barriers, and new thinking. Lancet. 2015;385(9985):2400‐2409. [DOI] [PubMed] [Google Scholar]
- 134. Yoon SS, Carroll MD, Fryar CD. Hypertension prevalence and control among adults: United States, 2011–2014. Natl Center Health Stat Data Brief. 2015;(220):1‐8. [PubMed] [Google Scholar]
- 135. Ford ES, Ajani UA, Croft JB, et al. Explaining the decrease in U.S. deaths from coronary disease, 1980–2000. N Engl J Med. 2007;356(23):2388‐2398. [DOI] [PubMed] [Google Scholar]
- 136. Chetty R, Stepner M, Abraham S, et al. The association between income and life expectancy in the United States, 2001–2014. JAMA. 2016;315(16):1750‐1817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137. Cristia JP. Rising mortality and life expectancy differentials by lifetime earnings in the United States. J Health Econ. 2009;28(5):984‐995. [DOI] [PubMed] [Google Scholar]
- 138. Katz SJ, Hofer TP. Socioeconomic disparities in preventive care persist despite universal coverage: breast and cervical cancer screening in Ontario and the United States. JAMA. 1994;272(7):530‐534. [PubMed] [Google Scholar]
- 139. Federico B, Costa G, Kunst AE. Educational inequalities in initiation, cessation, and prevalence of smoking among 3 Italian birth cohorts. Am J Public Health. 2007;97(5):838‐845. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140. Alter DA, Naylor CD, Austin P, Tu JV. Effects of socioeconomic status on access to invasive cardiac procedures and on mortality after acute myocardial infarction. N Engl J Med. 1999;341(18):1359‐1367. [DOI] [PubMed] [Google Scholar]
- 141. Alter DA, Iron K, Austin PC, Naylor CD, SESAMI Study Group . Socioeconomic status, service patterns, and perceptions of care among survivors of acute myocardial infarction in Canada. JAMA. 2004;291(9):1100‐1107. [DOI] [PubMed] [Google Scholar]
- 142. Wood E, Montaner JSG, Chan K, et al. Socioeconomic status, access to triple therapy, and survival from HIV‐disease since 1996. AIDS. 2002;16(15):2065‐2072. [DOI] [PubMed] [Google Scholar]
- 143. McFarland W, Chen S, Hsu L, Schwarcz S, Katz M. Low socioeconomic status is associated with a higher rate of death in the era of highly active antiretroviral therapy, San Francisco: J Acquired Immune Defic Syndrom. 2003;33(1):96‐103. [DOI] [PubMed] [Google Scholar]
- 144. Dray‐Spira R, Lert F. Social health inequalities during the course of chronic HIV disease in the era of highly active antiretroviral therapy. AIDS. 2003;17(3):283‐290. [DOI] [PubMed] [Google Scholar]
- 145. Borrell C, Rodriguez‐Sanz M, Pasarin MI, et al. AIDS mortality before and after the introduction of highly active antiretroviral therapy: does it vary with socioeconomic group in a country with a national health system? Eur J Public Health. 2006;16(6):601‐608. [DOI] [PubMed] [Google Scholar]
- 146. Frohlich KL, Potvin L. Transcending the known in public health practice: the inequality paradox: the population approach and vulnerable populations. Am J Public Health. 2008;98(2):216‐221. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147. McLaren L, McIntyre L, Kirkpatrick S. Rose's population strategy of prevention need not increase social inequalities in health. Int J Epidemiol. 2010;39(2):372‐377. [DOI] [PubMed] [Google Scholar]
- 148. Pletcher MJ, Lazar L, Bibbins‐Domingo K, et al. Comparing impact and cost‐effectiveness of primary prevention strategies for lipid‐lowering. Ann Intern Med. 2009;150(4):243‐254. [DOI] [PubMed] [Google Scholar]
- 149. Broderick JP, Palesch YY, Demchuk AM, et al. Endovascular therapy after intravenous t‐PA versus t‐PA alone for stroke. N Engl J Med. 2013;368(10):893‐903. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150. Berkhemer OA, Fransen PSS, Beumer D, et al. A randomized trial of intraarterial treatment for acute ischemic stroke. N Engl J Med. 2015;372(1):11‐20. [DOI] [PubMed] [Google Scholar]
- 151. Ciccone A, Valvassori L, Nichelatti M, et al. Endovascular treatment for acute ischemic stroke. N Engl J Med. 2013;368(10):904‐913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152. Goyal M, Demchuk AM, Menon BK, et al. Randomized assessment of rapid endovascular treatment of ischemic stroke. N Engl J Med. 2015;372(11):1019‐1030. [DOI] [PubMed] [Google Scholar]
- 153. Baeten JM, Donnell D, Ndase P, et al. Antiretroviral prophylaxis for HIV prevention in heterosexual men and women. N Engl J Med. 2012;367(5):399‐410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154. Thigpen MC, Kebaabetswe PM, Paxton LA, et al. Antiretroviral preexposure prophylaxis for heterosexual HIV transmission in Botswana. N Engl J Med. 2012;367(5):423‐434. [DOI] [PubMed] [Google Scholar]
- 155. Van Damme L, Corneli A , Ahmed K, et al. Preexposure prophylaxis for HIV infection among African women. N Engl J Med. 2012;367(5):411‐422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156. Powers WJ, Derdeyn CP, Biller J, et al. 2015 American Heart Association / American Stroke Association focused update of the 2013 guidelines for the early management of patients with acute ischemic stroke regarding endovascular treatment: a guideline for healthcare professionals from the American Heart Association / American Stroke Association. Stroke. 2015;46(10):3020‐3035. [DOI] [PubMed] [Google Scholar]
- 157. Jolly SS, Cairns JA, Yusuf S, et al. Randomized trial of primary PCI with or without routine manual thrombectomy. N Engl J Med. 2015;372(15):1389‐1398. [DOI] [PMC free article] [PubMed] [Google Scholar]