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Antibiotic expected effectiveness and cost under real life microbiology: evaluation of ertapenem and ceftriaxone in the treatment of community-acquired pneumonia for elderly patients in Spain

Authors Grau S, Lozano V, Valladares A, Cavanillas R, Xie Y, Nocea G

Received 2 October 2013

Accepted for publication 6 November 2013

Published 13 February 2014 Volume 2014:6 Pages 83—92


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Santiago Grau,1 Virginia Lozano,2 Amparo Valladares,3 Rafael Cavanillas,4 Yang Xie,5 Gonzalo Nocea3

1Hospital del Mar, Barcelona, Spain; 2Pharmacoeconomics and Outcomes Research Iberia, Madrid, Spain; 3Outcomes Research Merck Sharp and Dohme Ltd, Madrid, Spain; 4Medical Affairs, Merck Sharp and Dohme Ltd, Madrid, Spain; 5Global Health Outcomes, Merck Sharp and Dohme Ltd, Whitehouse Station, NJ, USA

Background: Clinical efficacy of antibiotics may be affected by changes in the susceptibility of microorganisms to antimicrobial agents. The purpose of this study is to assess how these changes could affect the initial efficacy of ertapenem and ceftriaxone in the treatment of community-acquired pneumonia (CAP) in elderly patients and the potential consequences this may have in health care costs.
Methods: Initial efficacy in elderly was obtained from a combined analysis of two multicenter, randomized studies. An alternative scenario was carried out using initial efficacy data according to the pneumonia severity index (PSI). Country-specific pathogens distribution was obtained from a national epidemiological study, and microbiological susceptibilities to first- and second-line therapies were obtained from Spanish or European surveillance studies. A decision analytic model was used to compare ertapenem versus ceftriaxone for CAP inpatient treatment. Inputs of the model were the expected effectiveness previously estimated and resource use considering a Spanish national health system perspective. Outcomes include difference in proportion of successfully treated patients and difference in total costs between ertapenem and ceftriaxone. The model performed one-way and probabilistic sensitivity analyses.
Results: First-line treatment of CAP with ertapenem led to a higher proportion of successfully treated patients compared with ceftriaxone in Spain. One-way sensitivity analysis showed that length of stay was the key parameter of the model. Probabilistic sensitivity analysis showed that ertapenem can be a cost-saving strategy compared with ceftriaxone, with a 59% probability of being dominant (lower costs with additional health benefits) for both, elderly patients (>65 years) and patients with PSI >3.
Conclusion: The incorporation of the current antimicrobial susceptibility into the initial clinical efficacy has a significant impact in outcomes and costs in CAP treatment. The treatment with ertapenem compared with ceftriaxone resulted in better clinical outcomes and lower treatment costs for two segments of the Spanish population: elderly patients and patients with severe pneumonia (PSI >3).

Keywords: antibacterial agent, bacterial infection, cost-effectiveness analyses, drug costs, Spain, aged


Community-acquired pneumonia (CAP) is a widespread disease with important implications for health care systems worldwide. For industrialized countries, CAP represents the leading cause of death due to infectious disease.1,2 The incidence of CAP in Spain ranges from 5–11 per 1,000 adults, rising to 25–35 cases per 1,000 in elderly people over age 65.3 Hospital admission is common for elderly patients3 and is associated with significant use of health care resources and costs.4

Given the inherent difficulty of determining the cause of CAP (an etiological diagnosis is only established in 40%–60% of the cases)5 empiric antibiotic treatment is often required. The majority of patients with mild-to-moderate CAP are treated in the community setting with empirical antimicrobial therapy. Patients with more serious disease or who are elderly or have comorbidities may be hospitalized, and antimicrobial therapy is usually started empirically. Thus, it is important that the choice of antimicrobial therapy ensures appropriate coverage of potentially drug-resistant strains based on local antimicrobial resistance pattern. Ertapenem and ceftriaxone are commonly used as empiric treatment in monotherapy or in combination with macrolides if infection with atypical pathogens is suspected.6 Ertapenem is a carbapenem, active against the majority of bacterial pathogens causing most routine community-acquired infections, including enterobacteriaceae and anaerobes.7 Ceftriaxone is a third-generation cephalosporin with broad-spectrum activity against Gram-positive and Gram-negative bacteria.8 Both antibiotics are potent drugs with broad-spectrum antimicrobial activity, widely used to treat elderly patients in whom pneumonia tends to follow severe courses due to their high rates of comorbidities.911

According to international guidelines on the management of CAP, ertapenem and ceftriaxone were recommended for hospital ward treatment as preferred beta-lactam agents.12 The clinical efficacy of ceftriaxone and ertapenem was compared in two randomized controlled trials, where these two antibiotics showed equivalence.1316 Nonetheless, these efficacy results are limited by the controlled trials’ conditions and may not be representative of clinical practice. Furthermore, the etiologic profile of CAP may differ considerably from one geographic region to another, and the microbial susceptibility to these antibiotics may have changed over the years, depending on their prescribing patterns and extensive use. The primary objective of this study was to incorporate the dynamics in microbiological susceptibilities and pathogens distribution for elderly patients in Spain into the initial clinical efficacy described for ertapenem and ceftriaxone in patients with CAP. The expected effectiveness obtained for ertapenem and ceftriaxone will be used to compare the cost impact in the treatment of hospitalized patients with CAP in Spain.

Material and methods

Clinical data

Initial clinical efficacies of ertapenem and ceftriaxone were extracted from the combined analysis performed by Ortiz-Ruiz et al15 of two multicenter randomized, double-blind studies.13,14 In these two studies, the efficacy and safety of ertapenem 1 g once a day for the treatment of CAP were compared with those of ceftriaxone 1 g once a day, and patients were stratified according to pneumonia severity index (PSI) (≤3 or >3) or age (≤65 or >65 years). In the combined analysis,15 clinical cure rates were equivalent for both treatments: 92.0% (95% confidence interval [CI]: 89.2–94.8) for ertapenem and 91.8% (95% CI: 88.7–95.0) for ceftriaxone. Nonetheless, a slight difference in clinical cure rates was reported for elderly patients (age >65 years), with 93.6% (95% CI: 89.6–97.7) with ertapenem and 91.3% (95% CI: 86.1–96.5) with ceftriaxone, but no statistically significant difference was assumed between the groups.

It was assumed that patients with clinical failure to first-line treatment with ertapenem or ceftriaxone, ie, lack of clinical response at day 3 after treatment,17 are treated with another second-line treatment. According to recommendations in Spanish guidelines for the empiric treatment of CAP, a second-line treatment with imipenem/cilastatin 1 g three times a day was considered in our model.6 The initial clinical efficacy of imipenem/cilastatin was extracted from a randomized prospective study conducted in elderly patients with CAP.18 It was assumed that failure of second-line therapy has a mortality rate of 0.9%, based on the Fine et al criteria mix of the population19 (Table 1).

Table 1 Efficacy and cost data for decision-tree model of CAP in Spain (base-case scenario)
Abbreviations: CAP, community-acquired pneumonia; CI, confidence interval; DRGs, diagnosis-related groups; SEPAR, Spanish Society of Chest Disease and Thoracic Surgery.

The data regarding pathogens’ distribution and their current microbiological susceptibility profile were then combined to estimate the overall susceptibility against ertapenem, ceftriaxone, and imipenem. Finally, the expected effectiveness for each antibiotic was obtained by incorporating the overall susceptibility into the initial clinical efficacy (Table 2).

Table 2 Initial efficacy, overall susceptibility, and expected effectiveness for ertapenem, ceftriaxone, and imipenem (base-case scenario)
Notes: Estimated overall susceptibility is the Σ % pathogen’s distributioni ● % pathogen’s susceptibilityi; Expected effectiveness is initial efficacy ● estimated overall susceptibility.

The pathogens’ distribution was obtained from the study of Vila-Corcoles et al,10 in which 473 patients with CAP, aged ≥65 years, were prospectively studied between 2002 and 2005 in the region of Tarragona, Spain. The etiology was established in 131 (36.6%) patients, and results showed Streptococcus pneumoniae as the most common pathogen of CAP in elderly patients.

The current microbiological susceptibility profile was obtained from the in vitro activity of ertapenem, ceftriaxone, and imipenem against the pathogens isolated from patients suffering from respiratory tract infections in Spain. In the absence of locally conducted studies, in vitro susceptibility data from European multicenter trials, including Spanish centers, were used.2023 There were pathogens whose susceptibility data against ertapenem, ceftriaxone, and imipenem were not found in the literature; these pathogens (18% of the total distribution) were Chlamydia pneumoniae, Legionella, Moraxella catarrhalis, Streptococcus sanguis, Streptococcus salivarius, Nocardia, Peptococcus, Mycobacterium tuberculosis, and Coxiella burnetii, all which were assumed had 0% susceptibility to ertapenem, ceftriaxone, and imipenem.

Model overview

A previously published decision-tree model24,25 was adapted to evaluate the expected effectiveness in the cost impact of ertapenem relative to ceftriaxone for the treatment of CAP in an elderly population. A hypothetical cohort of 1,000 patients received either ceftriaxone 1 g once a day or ertapenem 1 g once a day at model entry. The time horizon for the analysis was equivalent to the treatment duration of a CAP episode, including a possible second-line treatment. As the total time is shorter than 1 year, no discounting of costs or outcomes was applied. The analysis was performed from the perspective of the Spanish national health system. Thus, indirect health care costs and productivity loss were not included.

The basic scheme of the decision-tree is presented in Figure 1, depicting the most relevant outcomes in the treatment of CAP. A single decision node represents a choice between the two alternatives, ertapenem or ceftriaxone, for treating CAP in elderly patients. Both ertapenem and ceftriaxone can result in a successful outcome with a certain probability. When ertapenem or ceftriaxone is not efficacious, patients are treated with another (second-line) antibiotic, which again has a certain probability of success. If this second antibacterial treatment fails, the outcome can be either fatal or there will be sequelae as a result of the bacterial infection. The costs associated with each alternative were calculated based on the expected effectiveness.

Figure 1 Decision-tree model for treatment of community acquired pneumonia (CAP).

Resource use and costs

According to Menéndez et al data,26 the mean length of hospital stay (LOS) for CAP treatment was 9.4 days in case of clinical success, and 18.5 days in case of treatment failure. It was assumed that the patient was receiving intravenous therapy throughout the hospitalization period. In order to update these values from 2005, the variation of mean LOS was studied across the 2005–2011 period, based on diagnosis-related group (DRG) data for CAP in Spain. The mean days of hospital stay, weighted according to the number of patients for DRGs 89 and 90 (pneumonia simple and pleurisy with and without complications in patients over 17 years, respectively) had decreased 10.6% from 2005–2010.27 This reduction in the LOS was applied to Menéndez et al data,26 obtaining a mean LOS of 8.4 days for CAP with clinical success and 16.5 days in the case of treatment failure (Table 1). Hospitalization cost was also obtained from the weighted DRGs 89 and 9027 and was updated to 2011 values based on the consumer price index. Drug costs were calculated from the recommended dose in clinical guidelines, while considering the laboratory sales price resulting from applying the commercial margins established28 on the public retail price.29 Furthermore, a 7.5% deduction based on the Royal Decree-law 8/2010 of May 20, was applied to the laboratory sales price of ertapenem.30 The price of ceftriaxone was based on the least expensive generic medication.

Alternative scenario

The PSI is a validated risk stratification instrument, which can help in identifying CAP patients with high risk of mortality. The PSI involves calculating a score, which places a given patient into one of five risk classes. Classes I, II, and III are at low risk for death, and may be considered for outpatient treatment, and risk classes IV and V should usually be hospitalized.19 In this study, an alternative scenario was considered using the data of clinical cure rates for patients with PSI ≤3 and PSI >3 from the combined analysis performed by Ortiz-Ruiz et al.15 For patients with PSI ≤3, the clinical cure rates for the ertapenem-arm and ceftriaxone-arm were 92.7% (95% CI: 89.6–95.8) and 93.8% (95% CI: 90.5–97.1), respectively, while patients with PSI >3 showed clinical cure rates of 90.9% (95% CI: 83.8–96.2) in the ertapenem cohort and 87.1% (95% CI: 79.9–94.2) in the ceftriaxone cohort.

Sensitivity analysis

To test the robustness of our evaluation, extensive sensitivity analyses were performed. One-way sensitivity analysis was conducted to determine the key drivers of the model by modifying independently the following parameters over a range of ±10%: initial clinical efficacy, expected effectiveness, LOS in case of clinical success and clinical failure, cost of hospitalization per day, and unit cost of ertapenem, ceftriaxone, and imipenem. For the most sensitive parameters, LOS during first- and second-line treatment, additional one-way sensitivity analyses were carried out.

Probabilistic sensitivity analysis provides a comprehensive assessment of the impact of second-order uncertainty by assuming simultaneous variations in all of the model parameters. In our analysis, a Monte Carlo simulation was performed with 1,000 iterations, and its outcomes were expressed as a cost-effectiveness plot. For the expected effectiveness and mortality, beta distributions were used. For treatment duration and LOS, triangular distributions (defined by the CI limits of each estimate) were conservatively chosen given the lack of data in the literature. The point estimates, ranges, and parameters for the distributions are listed in Table 3. For each simulation, a random value was sampled from these distributions, and the outcomes of the model were calculated.

Table 3 Probability estimates, ranges, and distribution parameters used in the model (base-case scenario)
Abbreviations: LOS, length of hospital stay; SE, standard error.



Under the base-case scenario, and after considering the distribution of pathogens in an elderly population with CAP and their current microbiologic susceptibility profile, the proportion of successfully treated patients with ertapenem and ceftriaxone is expected to be 71.0% and 64.8%, respectively (Table 4). The higher drug cost of €426 per patient in the ertapenem-arm compared to €243 in the ceftriaxone-arm was compensated by the lower resource use cost per patient, mainly hospitalization costs (ertapenem-arm: €4,514; ceftriaxone-arm: €4,726). The calculated net difference in antibiotic drug and hospital costs represents a savings of €29 per patient with ertapenem relative to ceftriaxone (Figure 2).

Table 4 Clinical and economic results of the model for the base-case scenario
Note: The base-case scenario assumed that data from the initial clinical efficacy of ertapenem and of ceftriaxone are based on Ortiz-Ruiz et al.15

Figure 2 Drug and resource costs per patient for ertapenem- and ceftriaxone-arm (base-case scenario).

Alternative scenario

Under the alternative scenario, clinical cure rates according to PSI scores were considered. The outcomes of the model obtained for patients with PSI ≤3 and PSI >3 are summarized in Table 5. For patients with PSI ≤3, the proportion of successfully treated patients obtained for the ertapenem-arm and ceftriaxone-arm was 70.3% and 66.5%, respectively. The total cost for the treatment of CAP, including drugs and hospitalization costs, was estimated to be €4,965 in the ertapenem-arm and €4,899 in the ceftriaxone-arm, representing a savings of €66 when CAP is treated with ceftriaxone relative to ertapenem in patients with PSI ≤3. For patients with PSI >3, a greater difference in the proportion of successfully treated patients was obtained between ertapenem and ceftriaxone, with 68.3% being the proportion of successfully treated patients in the ertapenem-arm and 61.8% in the ceftriaxone-arm. The total cost of CAP treatment was lower in the ertapenem-arm, €5,042 versus €5,086 in the ceftriaxone-arm, representing a savings of €44 when ertapenem is considered for the treatment of CAP in patients with PSI >3.

Table 5 Clinical and economic results of the model for the alternative scenario
Note: The alternative scenario was developed using the clinical data of clinical cure rates for patients with PSI ≤3 and PSI >3 from the combined analyses performed by Ortiz-Ruiz et al.15
Abbreviation: PSI, pneumonia severity index.

Sensitivity analysis

In the one-way sensitivity analysis, the parameter most impacting the results was the LOS. As discussed above, the mean days of hospital stay observed for DRGs 89 and 90 decreased by 10.6% across the 2005–2011 period. The impact of this decrease, considering both equal and different rates for first- and second-line treatment, is represented in Figure 3. When LOS decreases at the same rate for first- and second-line treatment, there were no significant differences with the base-case results (Figure 3A). Nonetheless, higher savings were observed for the ertapenem-arm relative to ceftriaxone when LOS during first-line treatment decreased to a greater extent than for second-line (Figure 3B). When LOS was reduced at a higher rate for second-line, the difference in total costs between ertapenem and ceftriaxone was reduced as represented in Figure 3C.

Figure 3 One-way sensitivity analysis for length of stay.
Notes: (A) LOS decreases at the same rate for first- and second-line treatment. (B) LOS decreases to a greater extent for the first line treatment. (C) LOS decreases to a greater extent for the second line treatment.
Abbreviation: LOS, length of hospital stay.

The results obtained for the other parameters are represented for the base-case in the tornado diagram of Figure 4. As can be seen in this chart, where the variables tested in the sensitivity analysis are ordered according to their (decreasing) impact on the result, the variables with the largest impact on the result are the treatment cost with ertapenem and the unit cost per day of hospitalization. Nevertheless, changes in these two variables within the ±10% range do not produce a change in the outcomes, resulting in a cost reduction for both variables across the whole tested range (as it also happened for all other variables in the sensitivity analysis).

Figure 4 Tornado diagram for the base-case.
Abbreviation: BC, base-case.

The results of the probabilistic analysis showed that for the base-case (>65 years), ertapenem is a dominant strategy (less costly with additional benefits) in 59% of simulations (Figure 5). In those cases where ertapenem showed additional benefits with higher costs, there is a 44% likelihood that the treatment with ertapenem offsets by at least 50% the difference in drug costs between ertapenem and ceftriaxone. In the alternative scenario, PSI >3 and PSI ≤3, there is a 59% and 34% likelihood that ertapenem would be a dominant strategy, respectively.

Figure 5 Cost-effectiveness plot for the base-case scenario (>65 years) comparing ertapenem versus ceftriaxone.
Notes: The figure shows the incremental cost-effectiveness scatter plot derived from the probabilistic sensitivity analysis. Each blue dot represents the result of an iteration of the Monte Carlo simulation. The red dot is the average of the 1,000 iterations.


To our knowledge, this is the first study aimed to explore the impact of the evolution of the microbiological profile for CAP in Spain, and illustrates how the modulation of the initial clinical efficacy through the current microbial susceptibility profile and the etiology described for elderly patients can be incorporated to assess the cost impact of the antimicrobial therapy. The effectiveness of this method might better predict the percentage of patients who favorably respond to the antibiotics under study and might allow for a more accurate estimate of resource consumption associated with the treatment of CAP. In the base-case, a lower total cost for the treatment of CAP in the ertapenem-arm is expected due to the higher proportion of successfully treated patients, making second-line treatments unnecessary and resulting in consequent savings in hospitalization costs.

Under the alternative scenario, in patients with PSI ≤3, the treatment of CAP with ceftriaxone leads to lower total costs compared to the treatment with ertapenem. This result is related to the lower difference in the initial efficacy between ertapenem and ceftriaxone described for those patients. In contrast, for patients with PSI >3, the treatment of CAP is less costly when ertapenem is used relative to ceftriaxone.

This savings confirms that acquisition costs of different antimicrobials may be less significant compared with the costs associated with therapeutic failure or adverse effects. Drug acquisition costs are a primary consideration only if there are no significant differences in treatment outcomes between agents, potential for selection of resistance, and incidence of significant treatment-related adverse events. Thus, a more expensive agent may be a very efficient alternative if it is associated with greater efficacy or better tolerance than a less expensive option.

There are other methods described in the literature for reducing cost when treating patients with CAP. These include administering appropriate empiric antibacterial therapy, based on pharmacodynamic and pharmacokinetic characteristics and providing therapy that facilitates good patient compliance, such as single daily dosing and shorter treatment courses.31 According to the one-way sensitivity analysis, LOS was the parameter with the most impact on the cost of CAP management. Under the current cost-containment policies and supported by the evidence from recent studies demonstrating that reductions of hospital stays could reduce costs without compromising patient outcomes, most hospitals are making efforts for optimizing LOS. In a study by Capelastegui et al,32 the trend in duration of hospitalization for CAP was assessed during 2000–2007, and it was observed that a 2-day decrease in LOS did not increase the likelihood of short-term mortality or hospital readmission. The impact of LOS was extensively studied in our model through different scenarios, confirming the robustness of our evaluation. The results of the probabilistic sensitivity analysis support the finding that ertapenem could be a cost-saving alternative compared to ceftriaxone. Of the 1,000 simulations run in this study, ertapenem showed additional benefits at lower costs in 59% of the estimates versus ceftriaxone, both for elderly patients (>65 years) and patients with PSI >3. In addition, in those cases where ertapenem showed additional benefits and higher costs, the difference in drug cost between ertapenem and ceftriaxone was offset by at least 50% in 44% of simulations.

The results obtained in this study suggest that elderly patients with CAP, who often require longer hospitalization periods than younger patients, and patients with severe pneumonia, are two segments of the population that would greatly benefit from those strategies that lead to a shorter duration of hospitalization. Our results are in line with those published in a recent and important study that relates the advanced age and severity of the pneumonia with longer hospitalization periods.33

Some limitations of our study must be considered. The etiology data used in this model were obtained from an epidemiology study carried out with 473 patients, aged ≥65, in the region of Tarragona.10 More appropriate data might be obtained with a longer study, that includes patients from several regions of Spain, but unfortunately, no other specific study of etiology for elderly patients was found in the literature. In our model, it is assumed that all the patients with CAP are infected uniformly with the pathogens’ distribution, but in the clinical setting, patients are monoinfected with a specific pathogen or with several.

The microbial susceptibility profile was obtained from the most recent published studies at the time of this analysis. As new evidence regarding microbial susceptibilities arise, it will be interesting to incorporate this data in the model to assess future outcomes. Additionally, it should be acknowledged that although the most current microbiological evidence has been used, this may not necessarily reflect the precise situation in a given site. Certainly, there can be variability across sites that would influence the results of this study, depending both on the specificities of the microbiological distribution and as a consequence of the differences in the antibiotic drug practices and their impact on the agent and strain selection. Nevertheless, we believe it is very likely that there is a common microbiological background across many sites and geographies, making the broad conclusions of this study valid in a wide range of settings despite their potential differences.

Another limitation of the model in this study is that, due to its short time horizon, it does not account for the antimicrobial resistance rate change over time. Two longer duration studies have shown that when taking the resistance rate change into account, ertapenem yields even more cost savings over time when compared to the alternatives.24,25

For patients with clinical suspicion of infection with microorganisms causing atypical pneumonias or in the absence of a demonstrative Gram strain, most hospital guidelines recommend combination therapy with a macrolide.6 In this analysis, it was assumed that combination with a macrolide would impact both strategies in a similar way. Thus, only monotherapy with ertapenem or ceftriaxone was considered for cost calculations and efficacy data.

Adverse events were not taken into consideration due to their similar proportion in both ertapenem and ceftriaxone-arms. Moreover, the adverse events that occurred were mild and not associated with extensive costs.

Imipenem was chosen for the second-line antibiotic treatment due to its broad spectrum activity and its recommendation in clinical guidelines.6 It is important to note that data for the initial clinical efficacy of imipenem was obtained from a study where imipenem was administered at 1.5 g per day,18 but for cost calculations, the recommended dose of 3 g per day in Spanish guidelines was considered.6 The influence of imipenem cost was studied in the sensitivity analysis, and a very low impact on the base-case results was observed. For the estimation of the health care resources costs consumed during the treatment of CAP, the cost of DRGs was applied due to the absence of detailed cost information on CAP management in Spain.

The recommended regimens for patients with more severe infections include amoxicillin-clavulanic acid administered intravenously, levofloxacin, moxifloxacin, piperacillin-tazobactam, meropenem, and several cephalosporins. The current study is focused on ertapenem and ceftriaxone given the availability of head-to-head data for clinical efficacy. For future analyses, it would be interesting to include other comparators and to analyze whether the results are transferable to other strategies.


Despite its limitations, this study provides both clinical and economic insight into the effect of modulating the initial clinical efficacy of two antibiotics according to the current microbiological susceptibility profile and the distribution of pathogens for elderly patients. The current study showed that modulating the initial clinical efficacy, the treatment of CAP with ertapenem compared to ceftriaxone could lead to lower health care costs and the benefit of earlier discharge from the hospital for two segments of the Spanish population: elderly patients and patients with severe pneumonia (PSI >3). Further analyses with other comparators are needed to obtain more data on effectiveness and economic impact that can help to validate the model.

Author contributions

S Grau, V Lozano, A Valladares, and R Cavanillas have participated in acquisition, analysis, and interpretation of data and have been involved in drafting and reviewing the manuscript. G Nocea has participated in the study design and interpretation of data and has critically revised the manuscript. Y Xie has participated in the study design and has critically revised the manuscript.


This study was funded by Merck Sharp and Dohme. S Grau has received honoraria for speaking at symposia organized on behalf of Pfizer, Astellas, MSD, and Novartis. V Lozano has served as an external consultant for Merck Sharp and Dohme. A Valladares, R Cavanillas, Y Xie, and G Nocea are current employees of Merck Sharp and Dohme. The authors report no other conflicts of interest in this work.



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