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Journal of Clinical Oncology, Vol 26, No 2 (January 10), 2008: pp. 290-296
© 2008 American Society of Clinical Oncology.
DOI: 10.1200/JCO.2007.13.0898

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Modeling the Cost Effectiveness of Secondary Febrile Neutropenia Prophylaxis During Standard-Dose Chemotherapy

Johanna N.H. Timmer-Bonte, Eddy M.M. Adang, Evelien Termeer, Johan L. Severens, Vivianne C.G. Tjan-Heijnen

From the Departments of Medical Oncology, Pulmonary Diseases, and Epidemiology, Biostatistics & Health Technology Assessment, Radboud University Nijmegen Medical Centre, Nijmegen; Department of Health Organisation, Policy, and Economics, Maastricht University; Department of Clinical Epidemiology and MTA; and Department Internal Medicine, Division Medical Oncology, University Hospital Maastricht, Maastricht, the Netherlands

Corresponding author: J.N.H. Timmer-Bonte, MD, 452 Department of Medical Oncology/Department of Pulmonary Diseases, Radboud University Nijmegen Medical Centre, PO Box 9101, 6500 HB Nijmegen, the Netherlands; e-mail: J.Timmer{at}onco.umcn.nl


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Purpose Current guidelines (ie, by the American Society of Clinical Oncology and the European Organisation for Research and Treatment of Cancer) do not recommend secondary infection prophylaxis, whereas, in contrast, caregivers prefer secondary prophylaxis to chemotherapy dose reduction after an episode of febrile neutropenia (FN). Because granulocyte colony-stimulating factor (G-CSF) is expensive, this study investigates the economic consequences of secondary prophylactic use of different prophylactic strategies (antibiotics, antibiotics plus G-CSF, and a combined sequential approach) in a population at risk of FN, using a Markov model.

Methods The input for the model is mainly based on the clinical outcome and patient-based cost data set (adopting the health care payer's perspective for the Netherlands) derived from a randomized study on primary prophylaxis in small-cell lung cancer (SCLC) patients; establishing mean cost of an episode FN of {euro}3,290 and prophylaxis of {euro}79 (antibiotics) ± {euro}1,616 (G-CSF) per cycle. The economic analysis was analyzed probabilistically using first- and second-order Monte Carlo simulation. The incremental cost-effectiveness ratio (ICER) was defined as cost per FN-free cycle.

Results Secondary prophylaxis with antibiotics was the least expensive strategy (mean, {euro}4,496/patient). The strategy antibiotics plus G-CSF was most expensive (mean, {euro} 8,998/patient). Comparison of these two strategies resulted in an unacceptably high ICER ({euro}343,110 per FN-free cycle) in the Dutch context. In scenarios using higher FN-related costs (as found in the United States), the strategies are less distinct in their monetary effects, but still favor antibiotics.

Conclusion This model-based economic analysis demonstrates that in the Netherlands and most likely also in the United States, if secondary prophylaxis is preferred, the strategy with antibiotics is recommended.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Febrile neutropenia (FN) is a potentially fatal chemotherapy-related complication leading to morbidity and consumption of medical resources, primarily because of hospitalization and intravenous antibiotics use. Primary prophylaxis with antibiotics or with granulocyte colony-stimulating factor (G-CSF) can significantly decrease the incidence of FN.1-3 Recently, we reported the results of a randomized phase III clinical trial assessing the impact of primary G-CSF prophylaxis in small-cell lung cancer (SCLC) patients treated with standard-dose chemotherapy and an estimated baseline risk of FN in the first cycle of at least 20% despite the use of primary antibiotic prophylaxis. Patients receiving prophylactic antibiotics plus G-CSF developed significantly less FN (18% v 32%).4

Because of considerable expenses (G-CSF) and antimicrobial resistance (antibiotics), current guidelines recommend restraint in use of primary prophylaxis and advise it only in patients considered at risk of FN.5-7 A prospective economic analysis performed alongside our randomized trial demonstrated that, the addition of primary G-CSF prophylaxis to antibiotics was not cost saving.8 The mean incremental cost of adding G-CSF per patient in the first cycle (with the highest incidence of FN) amounted to {euro}681 (95% CI, –36 to 1,397), for the entire treatment arm the mean incremental costs were substantial ({euro}5,213; 95% CI {euro}3,908 to {euro}6,337). The European Organisation for Research and Treatment of Cancer (EORTC) conducted a study in SCLC patients investigating primary FN prophylaxis with antibiotics compared with placebo. They found that primary antibiotic prophylaxis was the dominant strategy, showing both superior clinical efficacy and cost savings in the Netherlands and Germany.9

A prior episode of FN is considered a risk factor for developing FN in further cycles, with recurrences reported in 50% to 66% of patients.4,10,11 The administration of prophylaxis after a prior episode of FN is called secondary prophylaxis. The placebo-controlled G-CSF registration trial by Crawford et al1 provided some evidence on the efficacy of secondary prophylaxis because patients in the control arm who developed FN received open-label G-CSF in subsequent cycles of chemotherapy. Such patients who were subsequently treated with open-label G-CSF had an incidence of (only) 23% in cycle 2, despite receiving the same doses of chemotherapy. Because of missing high-level evidence data, present guidelines do not recommend secondary prophylaxis. However, in clinical practice, caregivers prefer secondary prophylaxis to chemotherapy dose reduction after an episode of FN in 50% to 90% of patients, as several surveys in 1996, 2003 and 2005 have demonstrated.12-14

The previously reported prospective economic evaluation alongside our randomized trial on primary FN prophylaxis resulted in a patient-based cost data set leading to a better understanding of the cost variance in production processes of primary prophylaxis.8 As an extension to our primary prophylaxis trial, using the data from this trial as input, we planned a modeling study investigating the economic consequences of secondary prophylaxis comparing three secondary prophylaxis strategies. In this prospective economic analysis, consumed medical resources and consequences with regard to less morbidity are modeled in monetary terms and FN-free cycles using a Markov model taking into account the probability of premature chemotherapy cessation and the stage-variant probability of FN.


    METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Sources
This analysis is, to a large extent, based on input from the clinical outcome and cost data set from our randomized phase III study in SCLC patients.4 That study included patients at risk of FN defined as 60 years of age or older, extensive disease, a Karnofsky performance status of 40% to 70%, and/or having received prior chemotherapy. Patients were treated with five cycles of what was at the time standard-dose chemotherapy (cyclophosphamide, doxorubicin, and etoposide) every 3 weeks and received primary prophylaxis with antibiotics (ciprofloxacin and roxithromycin) or with antibiotics plus G-CSF. Primary outcome was the incidence of FN and treatment-related cost. The combination of G-CSF and antibiotics in primary prophylaxis more effectively reduced the incidence of FN compared with antibiotics, with the effect being largest in the first cycle. However, this gain in clinical effect came with substantial incremental costs (Table 1). Not all necessary input for the model could be derived from these study results, and, consequently, data from other published sources were used.


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Table 1. Main Clinical and Economical Outcome of the Randomized Trial4,8

 
Markov Model
The clinical process and the morbidity and mortality that a hypothetical patient went through during a maximum of five chemotherapy cycles was modeled by means of a probabilistically analyzed Markov chain process (Fig A1, online only), which is a multistate transitory model that allows patients to make event-driven transitions among various health states, at different transition probabilities, over certain periods. After each chemotherapy cycle, the patient may be in different states that are mutually exclusive (Fig 1). We assumed that an episode of FN without prophylaxis always leads to modification of therapy and that, in all subsequent cycles, prophylaxis was administered (Fig A1). Three secondary prophylactic strategies are considered: (1) antibiotics, (2) antibiotics plus G-CSF, or (3) antibiotics after the first episode of FN and antibiotics plus G-CSF after another episode of FN (termed "sequential"). The passage of time is divided into intervals representing a complete chemotherapy cycle (up to five cycles). During each cycle, each hypothetical patient may remain in the same state of health or move to another state ("FN" and "no FN"; Fig 1), except when chemotherapy is discontinued (absorbing state, "stop"; Fig 1). The consequences of FN vary per strategy (in cost and effect). The probability of making a transition from one state to another during a given cycle is called a transition probability. The costs of FN, full- or reduced-dose chemotherapy, prophylactic antibiotics and/or prophylactic G-CSF were assigned to health states and driven by events that occurred after transition probabilities. All of this information was analyzed using software from TreeAge (Williamstown, MA).


Figure 1
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Fig 1. Health states used in Markov model on febrile neutropenia (FN) -related prophylaxis. After each chemotherapy cycle for small-cell lung cancer, the patient may be in one of three different states that are mutually exclusive: no more chemotherapy (with or without previous FN; "stop"), a state representing another cycle of chemotherapy without previous FN ("no FN"), and a state with another cycle of chemotherapy with previous FN ("FN").

 
Input for the Model
Costs. The clinical trial on primary prophylaxis provided in a patient-based cost data set adopting the health care payer's perspective in the Netherlands, as described elsewhere in detail.8,15 For the Markov model, the original sample of cost data related to FN was bootstrapped and resulted in a normal distribution of costs of FN treatment (Fig A2, online only).16 The model was probabilistically analyzed using combined first- and second-order Monte Carlo simulation. This procedure runs a fixed number (1,000) of individual hypothetical patients randomly through the model and simultaneously samples from the distributions assigned to variables in the model. Our overall analysis contained two multidimensional Monte Carlo simulations: one considering costs as outcome parameter only, and one considering cost effectiveness.

Transition probabilities. The probabilities were derived from the randomized phase III trial, except for the probabilities of the first episode of FN. The efficacy of the sequential prophylactic strategy has never been clinically investigated to our knowledge; therefore, we used a combination of probabilities as found in our clinical trial.4 Table 2 provides an overview of critical probabilities in the model and their sources. The probability of a first episode of FN was based on the pivotal G-CSF trial by Crawford et al,1 and, as such, on a similar patient population as in our primary prophylaxis study. If a patient stopped treatment after an episode of FN, transition costs were calculated. The stop probability in patients who did not experience FN was based on a subgroup of SCLC patients treated in an EORTC trial with standard-dose CDE (cyclophosphamide, doxorubicin, and etoposide) without prophylaxis (0.05, 0.09, 0.03, 0.44, and 0.36 in cycles 1, 2, 3, 4, and 5 respectively).3,17 The stop probabilities in patients who experienced FN -and thus received prophylaxis were based on the probabilities found in our trial and varied per prophylactic strategy (0.04, 0.09, 0.19, and 0.20 in cycles 1, 2, 3, and 4 with antibiotics; 0.11, 0.1, 0.11, and 0.09 with antibiotics plus G-CSF; 0.09, 0.1, 0.11, and 0.09 in sequential prophylaxis).


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Table 2. Probabilities Used in the Markov Model

 
Effects. The underlying study on primary prophylaxis did not find a difference in mortality rates between treatment groups. However, the different strategies resulted in different FN rates, and, consequently, the extra costs might be traded off by an extra effect. Therefore, effect was defined as an FN-free cycle. We assigned to each cycle without FN a value of 1, and if FN occurred, a transition reward of –1 was applied. The incremental cost-effectiveness ratio (ICER) was expressed as the mean incremental cost per FN-free cycle. A cost-effectiveness plane and a derived acceptability curve graphically represent cost effectiveness.

Exploration of Nonparametric Uncertainty: Sensitivity Analyses
To explore uncertainty, the following deterministic parameters in the model were subjected to sensitivity analyses. The 2006 American Society of Clinical Oncology (ASCO) guideline recommends administration of primary prophylaxis in case the expected probability on developing FN is at least 0.2 per patient.6 We analyzed the cost of secondary prophylaxis in case the probability of FN in cycle 1 was 0.2.

In the baseline model, we used recurrence rates as found in our primary prophylaxis trial.4 Note that in this study we observed, based on a small number of patients, higher recurrence rates in the patients receiving antibiotics plus G-CSF compared with the antibiotics arm. Because variations in recurrence rates of FN depend on patient characteristics, we subjected the recurrence rates to sensitivity analysis. We identified one article where patients who experienced FN in cycle 1 continued full-dose chemotherapy with secondary G-CSF prophylaxis, and they reported an FN recurrence rate of 0.16 and 0.10 in cycles 2 and 3 respectively.10

The cost of an episode of FN found in our trial is relatively low (mean, {euro}3,300) compared with the United States (mean, $19,110; median, $8,376 [approximately {euro}13,377 and {euro}5,863, respectively] per episode of FN).18 The European FN costs are 20% to 30% as great as the US FN costs, and the European G-CSF costs are 70% to 80% as great as the US G-CSF costs.7 Currently, there is a tendency to treat low-risk patients experiencing FN in the outpatient setting, resulting in lower FN-related costs: a recent pilot study in the USA found FN-related costs of $1,329 ({euro}973 using a Euro-dollar conversion rate of 0.7).19 Analyses using US FN-related cost in the model were therefore also considered.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Baseline Model of Secondary Prophylaxis
The first multidimensional Monte Carlo simulation focusing only on costs showed that secondary prophylaxis with antibiotics was the least expensive strategy, with mean costs of {euro}4,496 (95% CI, {euro}3,637 to {euro}5,436) per patient (Table 3). The most expensive strategy was antibiotics plus G-CSF, with a mean cost of {euro}8,998 (95% CI, {euro}6,286 to {euro}8,969). The sequential strategy resulted in mean additional costs of {euro}5,970/patient (95% CI, {euro}4,867 to {euro}7,254). From this, we conclude that the reduction in FN-related cost did not compensate for the extra cost associated with the addition of prophylaxis (G-CSF).


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Table 3. Cost per Patient per Secondary Prophylactic Strategy in Baseline Model: First Multidimensional Monte Carlo Simulation

 
Cost Effectiveness
Including effects as well as costs demonstrated that the mean incremental cost compared with antibiotics were {euro}5,824 and {euro}2,156, respectively and the mean incremental effects, defined as FN-free cycle, were 0.02 and –0.11 for the antibiotics plus G-CSF strategy and sequential strategy, respectively (Table 4). The results are graphically presented in Figure 2, and this implies an ICER of, respectively, {euro}343,110 per FN-free cycle for the strategy of antibiotics plus G-CSF. Figure 2 shows the acceptability for a given willingness to pay (WTP) for an FN-free cycle. Figure 2 demonstrates clearly that, in the Dutch context, this will not be reached for any reasonable WTP (the WTP {euro}300,000 for an FN-free period is approximately 0.45).


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Table 4. Cost-Effectiveness: Second Multidimensional Monte Carlo Simulation—Baseline and Sensitivity Analyses

 

Figure 2
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Fig 2. Cost effectiveness analysis. (A, C, D) Scatter plots and (B) acceptability curve based on the probability to remain febrile neutropenia (FN) free in baseline analysis. The baseline acceptability curve summarizes the likelihood of the antibiotics plus granulocyte colony-stimulating factor (G-CSF) being cost effective compared with antibiotics alone for all potential values of the willingness to pay per patient, per FN-free cycle. A frequentist approach of the acceptability curve is 1 –P value (.05) of a one-sided test that the incremental net monetary benefit (costs –willingness to pay [WTP] for an FN-free cycle) more than 0, plotted against the WTP. Because the sequential strategy was dominated by the antibiotics strategy, an acceptability curve was not calculated. Parts C and D represent the results of sensitivity analyses: (C) with probability of FN of 0.2 and (D) with occurrence rates according to Haim et al.10

 
Sensitivity Analyses
Sensitivity analyses demonstrated that, for the clinically important threshold of the probability of FN in cycle 1 of 0.2, prophylaxis with antibiotics remained the most favorable alternative with respect to costs (Table 4). Compared with the baseline model (FN-probability cycle 1, 0.57), a lower FN probability in cycle 1 results in lower incremental costs of antibiotics plus G-CSF. But still, both strategies are dominated by the antibiotics strategy, because the effects between strategies are rather similar (Fig 2).

Haim et al10 reported less frequent FN-recurrences than we found in our primary prophylaxis study, this affected both the incremental effect as the incremental costs (Fig 2), resulting in an ICER for antibiotics plus G-CSF and sequential strategy of {euro}17,766 and {euro}70,833, respectively (Table 4).

When using the lower outpatient FN-related cost as determined by Bennett et al19 or the higher FN-related cost in the US as determined by Kuderer et al18 as input for the model, the mean costs were {euro}2,421, {euro}4,001 and {euro}7,260 Euro following Bennett or {euro}15,275, {euro}17,202, and {euro}16,201 following Kuderer for antibiotics, antibiotics plus G-CSF, and sequential strategy, respectively.19 This demonstrates that, with higher FN-related costs, the different strategies are less distinct in their monetary effects.


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
To our knowledge, this is the first study comparing the economic consequences of the use of different secondary prophylactic strategies in preventing FN by means of a Markov model based on a prospectively derived patient-based cost data set in SCLC patients at risk of FN. Secondary prophylaxis is not advocated by international guidelines, but is preferred and commonly used by many caregivers. The cost analysis adopted the health care payer's perspective for the Netherlands and investigated three different strategies (antibiotics only, antibiotics plus G-CSF, and a combined sequential approach). Secondary prophylaxis with the combination of antibiotics plus G-CSF was more costly than was treatment with antibiotics alone. The cost effectiveness of antibiotics plus G-CSF depends on the willingness to exchange money for effectiveness.

Figure 2 shows that a reasonable WTP is not reached for the strategy of antibiotics plus G-CSF in the baseline model, and the sequential strategy is dominated by the antibiotics strategy (less effect, additional costs). Combining these results with accompanied sensitivity analyses allow the conclusion that the cost of G-CSF prophylaxis is the crucial factor with regard to the economics of secondary prophylactic strategy. Baseline risk of FN, recurrence risk, or the cost of FN have, given a realistic range of outcomes, no influence on the economics of secondary prophylaxis.

We could not demonstrate differences in survival or response to antitumor treatment in the primary prophylaxis trial. Still, good clinical practice may require examining more since strategies may differ in their clinical effects without impact on survival and as a consequence the preferred approach may be to use multiple economic analyses. As discussed elsewhere,8,20 cost per FN-free period may seem artificial, but can be a useful assessment. Policy makers should decide on the acceptable amount of money to spend for supportive care where there is no impact on survival.

Today, with expanding treatment options but limited financial resources, rational choices have to be made. Phase III clinical trials investigating new treatment strategies preferably should incorporate economic analyses. However, for different reasons, cost-effectiveness studies are not always feasible alongside clinical trials; in those cases, modeling cost effectiveness might be the answer.21 If a detailed presentation of the model is provided, as in our model, those interested can assess the transferability of the model to their specific situation.22

Our model demonstrates that the cost (and effects) of secondary prophylaxis with antibiotics plus G-CSF move toward the antibiotics strategy if there is a low probability of a first FN (Fig 2). When caregivers have implemented the recently updated guidelines, selecting patients with a risk of 20% or higher for use of primary G-CSF prophylaxis, only patients with a low baseline risk are eligible for secondary prophylaxis. In such a patient population, the absolute economic differences between the different secondary prophylactic strategies are less distinct but, as a result of comparable efficacy, antibiotics are still the less costly alternative.

We assumed in our model that the relative recurrence reduction of FN by secondary prophylaxis is similar to that seen in our study on primary prophylaxis. However, a high incidence of FN is consistently reported in the first cycle of chemotherapy. In most studies, approximately half of all patients experiencing FN during their treatment do so in the first cycle.3,23-25 In cycles 2 to 5 (Table 1), both the incidence of a first episode of FN as well as recurrence seemed to be low and rather similar in both the arm with primary antibiotics and the arm with primary antibiotics plus G-CSF prophylaxis. Put otherwise, this suggests that the addition of G-CSF may not influence recurrence rates, at least not to the degree seen in the first cycle with primary prophylaxis. These clinical findings support the use of primary prophylaxis rather than of secondary prophylaxis.

Two other strategies to prevent recurrent FN (no prophylaxis but chemotherapy dose reduction and secondary prophylaxis with G-CSF) were not included in our model because they were not investigated in our primary prophylaxis trial and literature does not provide sufficient data on these strategies to incorporate them in the model. Most likely, secondary prophylaxis with G-CSF alone will result in comparable cost to the strategy of antibiotics plus G-CSF because antibiotics are associated with little extra costs. Using the results of 38 SCLC patients treated in an EORTC trial with standard CDE chemotherapy receiving no prophylaxis and our cost data, a global calculation results in mean cost of approximately {euro}3,900/patient (using the probabilities in our baseline model with the exception of the probability of first FN; 0.57, 0.16, 0.03, 0.06, and 0.09 in cycles 1, 2, 3, 4, and 5 respectively).3,16 Comparing these results to our baseline model ({euro}4,496, {euro}8,998, and {euro}5,970, respectively), this indicates that, independent of the chosen strategy, secondary prophylaxis will most likely never result in cost savings within the health care sector. A decade ago, Chouaid et al11 performed a Markov model–based analysis, based on retrospective United States–based cost, comparing no prophylaxis versus secondary prophylaxis with G-CSF (but not antibiotics). They demonstrated that secondary prophylaxis with G-CSF in SCLC-patients treated with standard-dose chemotherapy did not result in cost savings overall (taking account of the savings associated with less morbidity).

In conclusion, this model-based economic analysis demonstrated that, for a realistic range of FN baseline risk and FN-related costs, secondary prophylaxis with antibiotics is least expensive compared with antibiotics plus G-CSF or a sequential approach. This study demonstrated that the relatively high price of administering G-CSF is the determining factor because effects are less distinct. Taking into account that there is no high-level evidence of the clinical efficacy of secondary prophylaxis, at this point, we cannot recommend secondary prophylaxis. Essentially, the clinical efficacy of different secondary prophylactic strategies compared with placebo needs to be prospectively assessed with accompanying economic analyses.


    AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
The author(s) indicated no potential conflicts of interest.


    AUTHOR CONTRIBUTIONS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Conception and design: Johanna N.H. Timmer-Bonte, Johan L. Severens, Vivianne C.G. Tjan-Heijnen

Administrative support: Evelien Termeer

Provision of study materials or patients: Johanna N.H. Timmer-Bonte, Eddy M.M. Adang, Vivianne C.G. Tjan-Heijnen

Collection and assembly of data: Johanna N.H. Timmer-Bonte, Eddy M.M. Adang, Evelien Termeer, Vivianne C.G. Tjan-Heijnen

Data analysis and interpretation: Johanna N.H. Timmer-Bonte, Eddy M.M. Adang, Johan L. Severens, Vivianne C.G. Tjan-Heijnen

Manuscript writing: Johanna N.H. Timmer-Bonte, Eddy M.M. Adang, Johan L. Severens, Vivianne C.G. Tjan-Heijnen

Final approval of manuscript: Johanna N.H. Timmer-Bonte, Eddy M.M. Adang, Vivianne C.G. Tjan-Heijnen


    Appendix
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 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
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Figure 3
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Fig A1. Decision model comparing three secondary prophylaxis strategies on costs and savings in monetary terms. The decision model is evaluated by Markov processes. The outcomes of the Markov processes are based on a maximum of four chemotherapy cycles. FN, febrile neutropenia; G-CSF, granulocyte colony-stimulating factor; AB, antibiotics.

 
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Figure 4
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Fig A2. Distribution of FN-related cost (Euro) and results after bootstrapping (1,000x repetition) the original cost data The original sample of cost data related to FN was bootstrapped and resulted in a normal distribution of costs of FN treatment. SD, standard deviation.

 


    ACKNOWLEDGMENTS
 
We thank the responsible investigators from participating hospitals.


    NOTES
 
Supported by a research grant from the Dutch Healthcare Insurance Board (OG 99 053).

Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.


    REFERENCES
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 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
1. Crawford J, Ozer H, Stoller R, et al: Reduction by granulocyte colony-stimulating factor of fever and neutropenia induced by chemotherapy in patients with small-cell lung cancer. N Engl J Med 325:164-170, 1991[Abstract]

2. Trillet-Lenoir V, Green J, Manegold C, et al: Recombinant granulocyte colony stimulating factor reduces the infectious complications of cytotoxic chemotherapy. Eur J Cancer 29A:319-324, 1993[CrossRef]

3. Tjan-Heijnen VC, Postmus PE, Ardizzoni A, et al: Reduction of chemotherapy-induced febrile leucopenia by prophylactic use of ciprofloxacin and roxithromycin in small-cell lung cancer patients: An EORTC double-blind placebo-controlled phase III study. Ann Oncol 12:1359-1368, 2001[Abstract/Free Full Text]

4. Timmer-Bonte JN, de Boo TM, Smit HJ, et al: Prevention of chemotherapy-induced febrile neutropenia by prophylactic antibiotics plus or minus granulocyte colony-stimulating factor in small-cell lung cancer: A Dutch randomized phase III study. J Clin Oncol 23:7974-7984, 2005[Abstract/Free Full Text]

5. Hughes WT, Armstrong D, Bodey GP, et al: 2002 guidelines for the use of antimicrobial agents in neutropenic patients with cancer. Clin Infect Dis 34:730-751, 2002[CrossRef][Medline]

6. Smith TJ, Khatcheressian J, Lyman GH, et al: 2006 Update of recommendations for the use of white blood cell growth factors: An evidence-based clinical practice guideline. J Clin Oncol 24:3187-3205, 2006[Abstract/Free Full Text]

7. Adams JR, Lyman GH, Djulbegovic B, et al: G-CSF as prophylaxis of febrile neutropenia in SCLC. Expert Opin Pharmacother 3:1273-1281, 2002[CrossRef][Medline]

8. Timmer-Bonte JN, Adang EM, Smit HJ, et al: Cost-effectiveness of adding granulocyte colony-stimulating factor to primary prophylaxis with antibiotics in small-cell lung cancer. J Clin Oncol 24:2991-2997, 2006[Abstract/Free Full Text]

9. Tjan-Heijnen VC, Caleo S, Postmus PE, et al: Economic evaluation of antibiotic prophylaxis in small-cell lung cancer patients receiving chemotherapy: An EORTC double-blind placebo-controlled phase III study (08923). Ann Oncol 14:248-257, 2003[Abstract/Free Full Text]

10. Haim N, Shulman K, Goldberg H, et al: The safety of full-dose chemotherapy with secondary prophylactic granulocyte colony stimulating factor (G-CSF) following a prior cycle with febrile neutropenia. Med Oncol 22:229-232, 2005[CrossRef][Medline]

11. Chouaid C, Bassinet L, Fuhrman C, et al: Routine use of granulocyte colony-stimulating factor is not cost-effective and does not increase patient comfort in the treatment of small-cell lung cancer: An analysis using a Markov model. J Clin Oncol 16:2700-2707, 1998[Abstract]

12. Timmer-Bonte JNH, Tjan-Heijnen VC: Prevention of chemotherapy-related episodes of febrile neutropenia (FN) in small-cell-lung-cancer (SCLC) patients: In practice not theory. Eur J Cancer 5:s279-s2003 (suppl)

13. Bennett CL, Smith TJ, Weeks JC, et al: Use of hematopoietic colony-stimulating factors: The American Society of Clinical Oncology survey—The Health Services Research Committee of the American Society of Clinical Oncology. J Clin Oncol 14:2511-2520, 1996[Abstract]

14. Danova M, Rosti G, De Placido S, et al: Use of granulocyte colony-stimulating factor: A survey among Italian medical oncologists. Oncol Rep 14:1405-1412, 2005[Medline]

15. Oostenbrink JB, Koopmanschap MA, Rutten FFH: Manual for cost analysis, methods and guideline prices in health care economic evaluations [in Dutch], 2000

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17. Ardizzoni A, Tjan-Heijnen VC, Postmus PE, et al: Standard versus intensified chemotherapy with granulocyte colony-stimulating factor support in small-cell lung cancer: A prospective European Organization for Research and Treatment of Cancer-Lung Cancer Group Phase III Trial-08923. J Clin Oncol 20:3947-3955, 2002[Abstract/Free Full Text]

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19. Bennett CL, Calhoun EA: Evaluating the total costs of chemotherapy-induced febrile neutropenia: Results from a pilot study with community oncology cancer patients. Oncologist 12:478-483, 2007[Abstract/Free Full Text]

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Submitted June 19, 2007; accepted October 1, 2007.


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