Literature DB >> 25714513

A pilot cost-effectiveness analysis of treatments in newly diagnosed high-grade gliomas: the example of 5-aminolevulinic Acid compared with white-light surgery.

Susana Esteves1, Marta Alves, Marta Castel-Branco, Walter Stummer.   

Abstract

BACKGROUND: High-grade gliomas are aggressive, incurable tumors characterized by extensive diffuse invasion of the normal brain parenchyma. Novel therapies at best prolong survival; their costs are formidable and benefit is marginal. Economic restrictions thus require knowledge of the cost-effectiveness of treatments. Here, we show the cost-effectiveness of enhanced resections in malignant glioma surgery using a well-characterized tool for intraoperative tumor visualization, 5-aminolevulinic acid (5-ALA).
OBJECTIVE: To evaluate the cost-effectiveness of 5-ALA fluorescence-guided neurosurgery compared with white-light surgery in adult patients with newly diagnosed high-grade glioma, adopting the perspective of the Portuguese National Health Service.
METHODS: We used a Markov model (cohort simulation). Transition probabilities were estimated with the use of data from 1 randomized clinical trial and 1 noninterventional prospective study. Utility values and resource use were obtained from published literature and expert opinion. Unit costs were taken from official Portuguese reimbursement lists (2012 values). The health outcomes considered were quality-adjusted life-years, life-years, and progression-free life-years. Extensive 1-way and probabilistic sensitivity analyses were performed.
RESULTS: The incremental cost-effectiveness ratios are below &OV0556;10 000 in all evaluated outcomes, being around &OV0556;9100 per quality-adjusted life-year gained, &OV0556;6700 per life-year gained, and &OV0556;8800 per progression-free life-year gained. The probability of 5-ALA fluorescence-guided surgery cost-effectiveness at a threshold of &OV0556;20000 is 96.0% for quality-adjusted life-year, 99.6% for life-year, and 98.8% for progression-free life-year.
CONCLUSION: 5-ALA fluorescence-guided surgery appears to be cost-effective in newly diagnosed high-grade gliomas compared with white-light surgery. This example demonstrates cost-effectiveness analyses for malignant glioma surgery to be feasible on the basis of existing data.

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Year:  2015        PMID: 25714513      PMCID: PMC4410964          DOI: 10.1227/NEU.0000000000000673

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


High-grade gliomas (World Health Organization grade III/IV) are the most common brain tumors in adults.1 In Europe, the standardized incidence rate of high-grade gliomas is 3.13/100000 inhabitants per year. The incidence is higher in adults, with a peak >65 years of age.2 Glioblastoma is the most common malignant tumor, accounting for 46% of all primary malignant brain tumors.3 High-grade gliomas are incurable tumors derived from glial cells characterized by extensive diffuse invasion of the normal brain parenchyma. The factors for poor prognosis are older age, glioblastoma histology, poor performance status, and unresectable tumor.2,4 Standard treatment for newly diagnosed patients comprises microsurgical resection followed by concomitant temozolomide radiochemotherapy (the Stupp regimen) or radiotherapy for anaplastic astrocytoma and oligodendroglioma subtypes.5,6 Extent of resection is an important prognostic factor for survival in patients undergoing initial resection,7-11 including fit elderly patients to whom aggressive surgery is not commonly offered.12 Even though 1 study has shown a positive continuous correlation between extent of resection and survival,7 the majority of studies suggest that an extent of resection of at least 98% is necessary to affect survival.8-10,13 Maximal safe resection for tumor debulking reduces tumor burden and optimizes the effectiveness of adjuvant radiotherapy and chemotherapy.12,13 Such multimodal therapy for malignant gliomas, however, carries a cost, and the established benefits so far are modest. In the age of increasing economic restraints imposed on the medical system, the value of therapies is more frequently being questioned. This also pertains to neurosurgical interventions. For neurosurgeons, costly adjuncts to surgery of malignant gliomas, aimed at increasing the extent of resection, are intraoperative magnetic resonance imaging and 5-aminolevulinic acid (5-ALA; Gliolan). For both adjuncts, the cost-effectiveness is difficult to fathom. With this analysis, we have attempted to demonstrate the feasibility of cost-effectiveness analyses for neurosurgical procedures, using 5-ALA as an example. 5-ALA is an orally administered prodrug used for visualization of high-grade glioma tissue during surgery, allowing a safer and more extensive tumor resection. 5-ALA is metabolized to protoporphyrin IX, a precursor of heme. High-grade glioma cells accumulate higher amounts of protoporphyrin IX than healthy tissue. Under blue excitation light (λ = 400-410 nm), the tumor tissue appears red, whereas normal tissue shows no fluorescence. Clinical trial data comparing 5-ALA fluorescence-guided surgery with conventional white-light surgery showed a significant increase in the proportion of patients with complete resection and in 6-month progression-free survival.8,14 These results led to the European Union approval of 5-ALA, as an orphan drug, in the indication of high-grade glioma (World Health Organization grade III/IV). Apart from a recent Spanish cost-effectiveness study,15 information on cost-effectiveness of 5-ALA fluorescence-guided neurosurgery is still scarce. Thus, we conducted a cost-effectiveness analysis of 5-ALA fluorescence-guided neurosurgery compared with white-light neurosurgery in adult patients with newly diagnosed high-grade glioma within the context of the Portuguese National Health Service. Incremental cost-effectiveness ratios (ICERs) were estimated, considering the outcomes of quality-adjusted life-years (QALY), life-years (LYs), and progression-free life-years (PFLYs).

METHODS

The target population of our study comprises adult patients with newly diagnosed high-grade glioma (World Health Organization grade III/IV) eligible for surgical resection and adjuvant therapy, treated in a Portuguese National Health Service hospital setting according to standard clinical practice. We also conducted subgroup analyses according to age (≤55 vs >55 years of age) and tumor location (eloquent vs noneloquent), important prognostic factors. The study perspective was the Portuguese Health Care System. Only direct medical care costs were considered, including the cost of the intervention itself and follow-up medical care until death. We constructed a Markov model based on the model described by Garside et al16 and Rogers et al.17 This modeling approach allows simulation of the natural history of disease, deterioration of the patient's clinical condition, and subsequent fluctuations in health-related quality of life. The model was run as a cohort simulation of 1000 people with 1 treatment cohort (5-ALA fluorescence-guided surgery) and 1 comparator cohort (white-light surgery), both followed by adjuvant radiochemotherapy with temozolomide or radiotherapy. A cycle length of 1 week was considered. The model was run until the death of all patients in both cohorts (time horizon, 411 weeks/7.9 years), thus accounting for lifetime costs and clinical benefits. Health outcomes were evaluated in QALYs, LYs, and PFLYs. A discount rate of 5% was applied to both health outcomes and costs, as recommended by the Portuguese guidelines for pharmacoeconomic analysis.18

Model Structure

The model comprises 5 health states: surgery, stable disease with complete resection, stable disease with partial resection, progressive disease, and death (Figure 1). The initial state, surgery, comprises surgery and postoperative recovery. All patients remain in this state for a fixed period of 4 weeks; they leave only if they die. After this period, all patients alive move to one of the stable disease states (with or without complete resection). Both stable disease states comprise 3 sequential substates, namely radiotherapy with or without concomitant temozolomide (maximum, 6 weeks), adjuvant temozolomide (maximum, 24 weeks), and no treatment. Patients remain in stable disease states until they either die or have disease progression. The progressive disease state was modeled as a sequence of 120 substates to simulate subsequent treatments and the patient’s clinical deterioration. Thus, several periods were considered: week 1, during which a proportion of patients are submitted to second standard white-light surgery in both cohorts (5-ALA not considered in reoperation); weeks 2 to 52, the period that accounts for active treatment such as chemotherapy and radiotherapy in a proportion of patients; and weeks ≥53, the period accounting for supportive care. In the progressive disease state, the patient's clinical deterioration was modeled assuming a 0.5% decrement of utility value per week/cycle. The death state includes all causes of deaths.
FIGURE 1

Influence diagram. 5-ALA, 5-aminolevulinic acid; PDeathCR, probability of death for patients with complete resection (time dependent); PDeathPR, probability of death in patients with partial resection (time dependent); Surg2CR_5ALA, probability of complete resection with 5-ALA surgery; StaCR2Pro, probability of progression in patients with complete resection; Surg2CRstand, probability of complete resection with white-light surgery; StaPR2Pro, probability of progression in patients with partial resection; Surg2D, probability of death within 4 weeks of initial debulking surgery; Surg2PR_5ALA, probability of partial resection with 5-ALA surgery; Surg2PRstand, probability of partial resection with white-light surgery.

Influence diagram. 5-ALA, 5-aminolevulinic acid; PDeathCR, probability of death for patients with complete resection (time dependent); PDeathPR, probability of death in patients with partial resection (time dependent); Surg2CR_5ALA, probability of complete resection with 5-ALA surgery; StaCR2Pro, probability of progression in patients with complete resection; Surg2CRstand, probability of complete resection with white-light surgery; StaPR2Pro, probability of progression in patients with partial resection; Surg2D, probability of death within 4 weeks of initial debulking surgery; Surg2PR_5ALA, probability of partial resection with 5-ALA surgery; Surg2PRstand, probability of partial resection with white-light surgery.

Input Values and Study Parameters

Input parameters comprising transition probabilities, health state utilities, and their respective sources are summarized in Table 1. Utility values were taken from the literature. The same utility values were considered for complete resection and partial resection stable disease states.
TABLE 1

Input Values and Study Parametersa

Input Values and Study Parametersa An expert panel (composed of 1 radio-oncologist, 2 neuro-oncologists, and 1 neurosurgeon) validated the Portuguese clinical practice and resource use from diagnosis until death. The panel defined the fixed transition probability from surgery to death. Transition probabilities from surgery to stable disease states (with or without complete resection) were taken from Stummer et al14 randomized clinical trial, which included 270 newly diagnosed patients with a median age of approximately 59 years (range, 23-73 years) and World Health Organization grade IV glioma in 97%. In this trial, 65% of patients (90 of 139) treated with 5-ALA and 36% of patients (47 of 131) submitted to white-light surgery had a complete resection of contrast-enhancing tumor. Only a small proportion of patients in this trial received adjuvant chemotherapy. Because the current standard practice comprises adjuvant radiochemotherapy with temozolomide (the Stupp regimen), the transition probabilities from stable disease states to death and progressive disease were based on data from a multicenter, prospective, noninterventional cohort study.13 This study was designed to test the effect of extensive cytoreductive surgery when combined with temozolomide radiochemotherapy followed by adjuvant temozolomide on progression-free survival and overall survival. It included 143 patients with newly diagnosed glioblastoma eligible for surgery with a median age of 59.5 years (range, 21-81 years).13 Transition probabilities from stable disease states to death and progressive disease states were estimated by use of parametric survival models fitted to individual patient data from this noninterventional study. Transition probabilities to death were estimated from a Weibull survival model with a shape parameter >1, taking extent of resection as a covariate (complete vs partial). Thus, we considered a time-dependent probability of death that increases with time. An exponential model, also including extent of resection as a covariate, was used to estimate transition probabilities from stable disease states to progressive disease. Goodness of fit of parametric models was evaluated by comparing with Kaplan-Meier estimates (survival curves and median survival estimates) and checking the proportionality of cumulative hazard risk function. The type and quantification of resources used were derived from the expert panel. Unit costs were taken from official Portuguese reimbursement lists (2012 values). Table 2 summarizes the resources and respective unit costs considered in the model. Table 3 summarizes the costs associated with each Markov state. Palliative care costs were attached to the transition from progressive disease to death.
TABLE 2

Resource Use and Unit Costs (2012)a

TABLE 3

Summary of Costs Used in the Economic Model (2012)a

Resource Use and Unit Costs (2012)a Summary of Costs Used in the Economic Model (2012)a Five-ALA toxicity was not considered because clinical trial data did not show any significant difference between fluorescence-guided and white-light neurosurgery in the frequency of severe adverse events, neurological impairments, or laboratory measurements with the exception of a transient increase, without major clinical impact, of γ-glutamyl transpeptidase and alanine and aspartate transaminases.14 Grade ≥3 toxicities of adjuvant treatment affecting >1% of patients were included because of the potential impact on resource use. These comprised hematologic toxicity, severe infection, pulmonary embolism, and deep vein thrombosis5 (validated by the expert panel).

Sensitivity Analysis

Extensive 1-way and probabilistic sensitivity analyses were performed. We also evaluated the robustness of results to different discount rates (0%, 3%, 5%, and 7%). One-way sensitivity analysis comprised the transition probabilities, costs of each health state, and utility values. Variation limits used were the 95% confidence interval limits for the proportion of complete resections and utilities and a 20% variation for all other parameters. Probability distributions used in probabilistic analysis were β distribution for transition probabilities and utilities, γ distribution for costs, and log normal for the parameters of survival models (Table 1). Simultaneous multivariate stochastic analysis was performed running 1000 Monte Carlo simulations. An alternative scenario analysis was also conducted by use of the Kaplan-Meier estimates with survival extrapolation with parametric survival models from the point where insufficient data were available.

RESULTS

Base-Case Analysis

Base-case cost-effectiveness results are displayed in Table 4. The mean effectiveness results of 5-ALA surgery projected by the model are 1.36 QALYs, 1.10 PFLYs, and a life expectancy of 1.90 years. These represent an increase of 0.16 QALY, 0.22 LY, and 0.17 PFLY over white-light surgery. The results obtained show a beneficial effect of 5-ALA in all evaluated health effects with an incremental cost of approximately €1500 for National Health Service.
TABLE 4

Incremental Cost-Effectiveness Resultsa

Incremental Cost-Effectiveness Resultsa ICERs are below €10000 in all evaluated outcomes (Table 4).

Uncertainty Analysis

One-way sensitivity analyses are displayed in tornado diagrams (Figure 2A-2C). The results concerning incremental cost per additional QALY (Figure 2A) show that the model is particularly sensitive to changes in the utility value attributed to the stable disease with no therapy substate. The other 3 most influential variables are the proportion of patients with complete resection in the 5-ALA cohort and the 2 transition probabilities from stable disease states (with complete and partial resection) to progressive disease. In all plausible variations tested, incremental cost per additional QALY is below €14000 (Figure 2A).
FIGURE 2

Tornado diagrams of 1-way sensitivity analyses concerning incremental cost-effectiveness ratios, National Health Service perspective. A, incremental cost per quality-adjusted life-year gained (in euros). B, incremental cost per life-year gained (in euros). C, incremental cost per progression-free life-year gained (in euros). PDeathCR, probability of death for patients with complete resection; PDeathPR, probability of death in patients with partial resection; Progressive >W52, progressive disease state after week 52; ProgressiveW1, first week in progressive disease state; ProgressiveW2-W52, progressive disease state from week 2 to 52; StableNoTherapy, stable disease after partial or complete resection without active treatment; StableRT, stable disease after partial or complete resection receiving radiotherapy; StableTMZadj, stable disease after partial or complete resection receiving adjuvant temozolomide treatment; StableTMZcRT, stable disease after partial or complete resection receiving concomitant radiotherapy and temozolomide; StaCR2Pro, probability of progression in patients with complete resection; StaPR2Pro, probability of progression in patients with partial resection; Surg2CRGliolan, probability of complete resection with 5-aminolevulinic acid surgery.

Tornado diagrams of 1-way sensitivity analyses concerning incremental cost-effectiveness ratios, National Health Service perspective. A, incremental cost per quality-adjusted life-year gained (in euros). B, incremental cost per life-year gained (in euros). C, incremental cost per progression-free life-year gained (in euros). PDeathCR, probability of death for patients with complete resection; PDeathPR, probability of death in patients with partial resection; Progressive >W52, progressive disease state after week 52; ProgressiveW1, first week in progressive disease state; ProgressiveW2-W52, progressive disease state from week 2 to 52; StableNoTherapy, stable disease after partial or complete resection without active treatment; StableRT, stable disease after partial or complete resection receiving radiotherapy; StableTMZadj, stable disease after partial or complete resection receiving adjuvant temozolomide treatment; StableTMZcRT, stable disease after partial or complete resection receiving concomitant radiotherapy and temozolomide; StaCR2Pro, probability of progression in patients with complete resection; StaPR2Pro, probability of progression in patients with partial resection; Surg2CRGliolan, probability of complete resection with 5-aminolevulinic acid surgery. The parameters with the greatest impact in incremental cost per additional LY (Figure 2B) and per additional PFLY (Figure 2C) are the proportion of patients with complete resection in the 5-ALA cohort, the probabilities of death in patients with complete and partial remission, and the probability of progression from stable disease states. It should be noted that all plausible variations tested yield incremental costs per LY gained and incremental costs per PFLY gained below €9000 and €12000, respectively (Figure 2B and 2C). Results are robust to variation in discount rates (0%, 3%, 5%, and 7%), ranging from €8250 to €10127 for incremental cost per additional QALY, €5963 to €7473 for incremental cost per additional LY, and €8174 to €9678 for incremental cost per additional PFLY. Probabilistic analysis results are given in Table 4. These show that, in 95% of cases, incremental cost per LY gained and incremental cost per PFLY gained are inferior to €13000 and €18000, respectively. When the ICER for QALY is considered, the upper limit of the 95% credibility interval increases to €21000, which might be explained by the poor underlying quality of life usually reported in these patients. In Figure 3A through 3C, the ICER results of 1000 Monte Carlo simulations for the 3 health outcomes are graphically presented on the cost-effectiveness plane. It can be clearly seen that the overwhelming majority of simulation results are located in the upper-right quadrant below the willingness-to-pay threshold of €20000. This reflects a beneficial effect of 5-ALA surgery compared with white-light surgery and suggests a high probability of an additional cost below €20000 in all health effects evaluated. This is further confirmed by the cost-effectiveness acceptability curves (Figure 4A-4C), which show the probability of considering 5-ALA cost-effective at different willingness-to-pay thresholds, given joint parameter uncertainty. The probability of 5-ALA cost-effectiveness at a threshold of €20000 is 99.6% for LY, 98.8% for PFLY, and 96.0% for QALY.
FIGURE 3

Scatter diagram of Monte Carlo simulation results in the cost-effectiveness plane, National Health Service perspective. A, incremental cost per quality-adjusted life-year (QALY) gained. B, incremental cost per life-year (LY) gained. C, incremental cost per progression-free life-year (PFLY) gained. The gray line represents a willingness-to-pay threshold of €20000 per additional QALY, LY, or PFLY. Results are located in the upper-right quadrant, reflecting a beneficial effect of 5-aminolevulinic acid fluorescence-guided surgery in all health effects evaluated but at a higher cost. In the 3 scatterplots, the majority of the simulation results are located below the threshold line, indicating a very high probability of incremental cost-effectiveness ratio being inferior to €20000 for all health effects evaluated.

FIGURE 4

Cost-effectiveness acceptability curves, National Health Service perspective. A, incremental cost-per quality adjusted life-year gained. B, incremental cost per life-year gained. C, incremental cost per progression-free life-year gained. The acceptability curves represent, for several willingness-to-pay threshold values ranging from €0 to €50000, the probability that the incremental cost-effectiveness ratio is below the considered threshold value. 5-ALA, 5-aminolevulinic acid.

Scatter diagram of Monte Carlo simulation results in the cost-effectiveness plane, National Health Service perspective. A, incremental cost per quality-adjusted life-year (QALY) gained. B, incremental cost per life-year (LY) gained. C, incremental cost per progression-free life-year (PFLY) gained. The gray line represents a willingness-to-pay threshold of €20000 per additional QALY, LY, or PFLY. Results are located in the upper-right quadrant, reflecting a beneficial effect of 5-aminolevulinic acid fluorescence-guided surgery in all health effects evaluated but at a higher cost. In the 3 scatterplots, the majority of the simulation results are located below the threshold line, indicating a very high probability of incremental cost-effectiveness ratio being inferior to €20000 for all health effects evaluated. Cost-effectiveness acceptability curves, National Health Service perspective. A, incremental cost-per quality adjusted life-year gained. B, incremental cost per life-year gained. C, incremental cost per progression-free life-year gained. The acceptability curves represent, for several willingness-to-pay threshold values ranging from €0 to €50000, the probability that the incremental cost-effectiveness ratio is below the considered threshold value. 5-ALA, 5-aminolevulinic acid. ICER point estimates obtained in alternative scenario analysis using Kaplan-Meier estimates are €8868.92 per PFLY gained, €6820.88 per LY gained, and €9401.99 per additional QALY. These results are similar to those obtained in the base-case analyses with parametric survival models (Table 4).

Subgroup Analyses

Table 5 presents the ICER point estimates obtained in subgroup analyses. These results are similar to those of the base case but suggest that 5-ALA is more cost-effective in patients <56 years of age and with eloquent tumor location for all end points.
TABLE 5

Subgroup Analysis

Subgroup Analysis

DISCUSSION

We performed a cost-effectiveness analysis of 5-ALA surgery compared with white-light surgery, current standard practice in Portuguese hospitals, in newly diagnosed adult patients with high-grade glioma. A similar analysis might be performed for other adjuncts to glioma surgery, provided that the effects on resection are well characterized, such as for intraoperative magnetic resonance imaging.23 The study perspective adopted was the Portuguese National Health Service. ICERs for the 3 health outcomes evaluated (QALY, LY, and PFLY) are between €6600 and €9300. These values are well below the willingness-to-pay threshold of £20000 considered by National Institute of Clinical Excellence.24 Extensive 1-way and probabilistic sensitivity analyses showed robustness of the results to uncertainties in model parameter estimates. Although subgroup analysis results are similar to the results of the base case, they suggest a higher cost-effectiveness of 5-ALA in patients <56 years of age and with eloquent tumor location.

Limitations

One important assumption of our Markov model is the separation of stable disease states on the basis of complete and partial resection. Although this may be regarded as an oversimplification, it is grounded by several studies showing that complete resection is an independent prognostic factor for overall survival.8-10,13 Another assumption is the time-dependent, instead of state-dependent, risk of death, which appears to be a counterintuitive approach because probability of death is expected to be higher in progressive states. However, transition to death was based on a Weibull model in which the probability of death increases with time as more patients also experience disease progression. A third assumption is that all patients receive surgery soon after diagnosis and postoperative treatment shortly after surgery. The potential impact of longer waiting times was not considered. Our model was based on clinical data from 2 studies, 1 head-to-head randomized clinical trial comparing 5-ALA surgery with white-light surgery14 and 1 noninterventional prospective cohort study designed to test the effect of extensive cytoreductive surgery combined with the Stupp regimen.5,13 As a consequence, our study has a limitation related to data availability that renders model estimations dependent on any bias in these studies such as the underrepresentation of grade III gliomas. In addition, there is some degree of uncertainty in survival estimation resulting from small sample size and limited follow-up (median, 24 months). Nevertheless, the goodness of fit of the parametric survival models was acceptable for both the Weibull and exponential models. Finally, the probabilistic sensitivity analysis and the Kaplan-Meyer alternative scenario showed that results are robust to the variability of the parameters of the survival models. It is likely, however, that the present analysis underestimates the cost-effectiveness of 5-ALA. The assumptions for the incremental rates of resections when 5-ALA is used were taken from the approval study published in 200614 and thus were based on the first patients operated on. To date, the experience with 5-ALA has increased, and the use of neurophysiological monitoring has become much more common for high-grade gliomas. Published resection rates are now between 80% and 96%.25-27 To the best of our knowledge, the most relevant clinical studies published to date that evaluated the impact of extent of resection in survival did not include adjuvant radiochemotherapy with temozolomide as part of treatment.7-9,28 The observational, retrospective study of the effectiveness of 5-ALA in malignant glioma in Spain (the VISIONA study)29 included this therapy but reported only results concerning complete resection rate and 6-month progression-free survival. For these reasons, it is not possible to make direct comparisons of survival outcomes between VISIONA and the noninterventional study used in our model. Another aspect to be considered is the use of utility values obtained from a panel of British respondents, which do not necessarily match the preferences of the Portuguese population. The pharmacoeconomic study published by Slof et al,15 based on data collected in the VISIONA observational study,29 also compared 5-ALA surgery with white-light surgery in newly diagnosed adult patients undergoing surgery for malignant glioma. Despite comparing the gains in QALYs between treatment groups, the Slof et al15 study included only the incremental costs associated with the 5-ALA intervention, which are incurred in the beginning of the analysis period. This is an important difference from our model; we considered not only the costs of initial surgery but also the costs incurred after surgery, during the lifetime of all patients. Interestingly, the results of incremental cost per additional QALY are similar in both studies. This may be explained in part by the minor gain in QALYs considered in the Slof et al15 study, together with an underestimation of the incremental costs. Our model did not evaluate the potential effect of 5-ALA surgery at recurrence. Given that the extent of resection has been shown to be an important prognostic factor not only in initial resection but also at recurrence,30 this question should be addressed in future studies. In addition, future studies should also include subgroup analysis comprising important prognostic factors such as the methylation status of the O6-methylguanine-DNA methyltransferase promoter. Given the synergistic effect between complete resection and adjuvant radiochemotherapy particularly seen in patients with O6-methylguanine-DNA methyltransferase promoter methylation,13 a higher cost-effectiveness of 5-ALA may be anticipated in this subgroup. Finally, future studies should also consider a societal perspective, taking into account productivity losses, family costs, and other indirect and direct nonmedical costs incurred by the patient.

CONCLUSION

Our analysis suggests that 5-ALA fluorescence-guided surgery is cost-effective in newly diagnosed high-grade gliomas compared with white-light surgery.

Disclosures

Support for this study was provided by medac GmbH, Wedel, Germany. Dr Esteves, M. Alves, and Dr Castel-Branco received a grant from medac GmbH, Wedel, Germany, in relation to this study. Dr Stummer has received lecturing fees from medac. Otherwise, the authors have no personal, financial, or institutional interest in any of the drugs, materials, or devices described in this article.
  23 in total

1.  High-grade malignant glioma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

Authors:  R Stupp; J-C Tonn; M Brada; G Pentheroudakis
Journal:  Ann Oncol       Date:  2010-05       Impact factor: 32.976

2.  Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: a randomised controlled multicentre phase III trial.

Authors:  Walter Stummer; Uwe Pichlmeier; Thomas Meinel; Otmar Dieter Wiestler; Friedhelm Zanella; Hans-Jürgen Reulen
Journal:  Lancet Oncol       Date:  2006-05       Impact factor: 41.316

3.  A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival.

Authors:  M Lacroix; D Abi-Said; D R Fourney; Z L Gokaslan; W Shi; F DeMonte; F F Lang; I E McCutcheon; S J Hassenbusch; E Holland; K Hess; C Michael; D Miller; R Sawaya
Journal:  J Neurosurg       Date:  2001-08       Impact factor: 5.115

Review 4.  The effectiveness and cost-effectiveness of carmustine implants and temozolomide for the treatment of newly diagnosed high-grade glioma: a systematic review and economic evaluation.

Authors:  R Garside; M Pitt; R Anderson; G Rogers; M Dyer; S Mealing; M Somerville; A Price; K Stein
Journal:  Health Technol Assess       Date:  2007-11       Impact factor: 4.014

5.  Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma.

Authors:  Roger Stupp; Warren P Mason; Martin J van den Bent; Michael Weller; Barbara Fisher; Martin J B Taphoorn; Karl Belanger; Alba A Brandes; Christine Marosi; Ulrich Bogdahn; Jürgen Curschmann; Robert C Janzer; Samuel K Ludwin; Thierry Gorlia; Anouk Allgeier; Denis Lacombe; J Gregory Cairncross; Elizabeth Eisenhauer; René O Mirimanoff
Journal:  N Engl J Med       Date:  2005-03-10       Impact factor: 91.245

6.  Cost-effectiveness of 5-aminolevulinic acid-induced fluorescence in malignant glioma surgery.

Authors:  J Slof; R Díez Valle; J Galván
Journal:  Neurologia       Date:  2014-01-24       Impact factor: 3.109

7.  Extent of resection and survival in glioblastoma multiforme: identification of and adjustment for bias.

Authors:  Walter Stummer; Hanns-Jürgen Reulen; Thomas Meinel; Uwe Pichlmeier; Wiebke Schumacher; Jörg-Christian Tonn; Veit Rohde; Falk Oppel; Bernd Turowski; Christian Woiciechowsky; Kea Franz; Torsten Pietsch
Journal:  Neurosurgery       Date:  2008-03       Impact factor: 4.654

8.  Recursive partitioning analysis of prognostic factors in three Radiation Therapy Oncology Group malignant glioma trials.

Authors:  W J Curran; C B Scott; J Horton; J S Nelson; A S Weinstein; A J Fischbach; C H Chang; M Rotman; S O Asbell; R E Krisch
Journal:  J Natl Cancer Inst       Date:  1993-05-05       Impact factor: 13.506

9.  Early postoperative magnetic resonance imaging after resection of malignant glioma: objective evaluation of residual tumor and its influence on regrowth and prognosis.

Authors:  F K Albert; M Forsting; K Sartor; H P Adams; S Kunze
Journal:  Neurosurgery       Date:  1994-01       Impact factor: 4.654

10.  Carmustine implants for the treatment of newly diagnosed high-grade gliomas: a cost-utility analysis.

Authors:  Gabriel Rogers; Ruth Garside; Stuart Mealing; Martin Pitt; Rob Anderson; Matthew Dyer; Ken Stein; Margaret Somerville
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

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  8 in total

1.  Novel Surgical Approaches to High-Grade Gliomas.

Authors:  Fahid Tariq Rasul; Colin Watts
Journal:  Curr Treat Options Neurol       Date:  2015-09       Impact factor: 3.598

2.  Quality-adjusted life years in glioma patients: a systematic review on currently available data and the lack of evidence-based utilities.

Authors:  Vicki Marie Butenschoen; Anna Kelm; Bernhard Meyer; Sandro M Krieg
Journal:  J Neurooncol       Date:  2019-06-12       Impact factor: 4.130

3.  The cost-effectiveness of tumor-treating fields therapy in patients with newly diagnosed glioblastoma.

Authors:  F Bernard-Arnoux; M Lamure; F Ducray; G Aulagner; J Honnorat; X Armoiry
Journal:  Neuro Oncol       Date:  2016-05-13       Impact factor: 12.300

4.  Intraoperative imaging technology to maximise extent of resection for glioma: a network meta-analysis.

Authors:  Daniel M Fountain; Andrew Bryant; Damiano Giuseppe Barone; Mueez Waqar; Michael G Hart; Helen Bulbeck; Ashleigh Kernohan; Colin Watts; Michael D Jenkinson
Journal:  Cochrane Database Syst Rev       Date:  2021-01-04

5.  Cost-effectiveness of Intraoperative MRI for Treatment of High-Grade Gliomas.

Authors:  Peter Abraham; Reith Sarkar; Michael G Brandel; Arvin R Wali; Robert C Rennert; Christian Lopez Ramos; Jennifer Padwal; Jeffrey A Steinberg; David R Santiago-Dieppa; Vincent Cheung; J Scott Pannell; James D Murphy; Alexander A Khalessi
Journal:  Radiology       Date:  2019-03-26       Impact factor: 29.146

Review 6.  Intraoperative imaging technology to maximise extent of resection for glioma.

Authors:  Michael D Jenkinson; Damiano Giuseppe Barone; Andrew Bryant; Luke Vale; Helen Bulbeck; Theresa A Lawrie; Michael G Hart; Colin Watts
Journal:  Cochrane Database Syst Rev       Date:  2018-01-22

7.  5-Aminolevulinic Acid Hydrochloride (5-ALA)-Guided Surgical Resection of High-Grade Gliomas: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2020-03-06

Review 8.  Analysis of Factors Affecting 5-ALA Fluorescence Intensity in Visualizing Glial Tumor Cells-Literature Review.

Authors:  Marek Mazurek; Dariusz Szczepanek; Anna Orzyłowska; Radosław Rola
Journal:  Int J Mol Sci       Date:  2022-01-15       Impact factor: 5.923

  8 in total

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