Literature DB >> 26218621

Surgery is cost-effective treatment for young patients with vestibular schwannomas: decision tree modeling of surgery, radiation, and observation.

Corinna C Zygourakis1, Taemin Oh2, Matthew Z Sun1, Igor Barani3, James G Kahn4, Andrew T Parsa2.   

Abstract

OBJECT: Vestibular schwannomas (VSs) are managed in 3 ways: observation ("wait and scan"); Gamma Knife surgery (GKS); or microsurgery. Whereas there is considerable literature regarding which management approach is superior, there are only a few studies addressing the cost of treating VSs, and there are no cost-utility analyses in the US to date.
METHODS: In this study, the authors used the University of California at San Francisco medical record and hospital accounting databases to determine total hospital charges and costs for 33 patients who underwent open surgery, 42 patients who had GKS, and 12 patients who were observed between 2010 and 2013. The authors then performed decision-tree analysis to determine which treatment paradigm produces the highest quality-adjusted life years and to calculate the incremental cost-effectiveness ratio, depending on the patient's age at VS diagnosis.
RESULTS: The average total hospital cost over a 3-year period for surgically treated patients was $80,074 (± $49,678) versus $9737 (± $5522) for patients receiving radiosurgery and $1746 (± $2792) for patients who were observed. When modeling the most debilitating symptoms and worst outcomes of VSs (vertigo and death) at different ages at diagnosis, radiation is dominant to observation at all ages up to 70 years. Surgery is cost-effective when compared with radiation (incremental cost-effectiveness ratio < $150,000) at younger ages at diagnosis (< 45 years old).
CONCLUSIONS: In this model, surgery is a cost-effective alternative to radiation when VS is diagnosed in patients at < 45 years. For patients ≥ 45 years, radiation is the most cost-effective treatment option.

Entities:  

Keywords:  CAD = Canadian dollars; GKS = Gamma Knife surgery; ICER = incremental cost-effectiveness ratio; NIS = Nationwide Inpatient Sample; NPV = net present value; OR = operating room; PT/OT/RT = physical therapy/occupational therapy/respiratory therapy; QALYs = quality-adjusted life years; UCSF = University of California at San Francisco; VS = vestibular schwannoma; acoustic neuroma; cost-utility analysis; surgery; vestibular schwannoma

Mesh:

Year:  2014        PMID: 26218621     DOI: 10.3171/2014.8.FOCUS14435

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  6 in total

1.  Health Care Utilization in Patients Undergoing Repeat Stereotactic Radiosurgery for Vestibular Schwannoma with 5-Year Follow-up: A National Database Analysis.

Authors:  Nicholas Dietz; Mayur Sharma; Beatrice Ugiliweneza; Dengzhi Wang; Maxwell Boakye; Brian Williams; Norberto Andaluz
Journal:  J Neurol Surg B Skull Base       Date:  2020-09-10

2.  Multifactor Influences of Shared Decision-Making in Acoustic Neuroma Treatment.

Authors:  Jason C Nellis; Jeff D Sharon; Seth E Pross; Lisa E Ishii; Masaru Ishii; Jacob K Dey; Howard W Francis
Journal:  Otol Neurotol       Date:  2017-03       Impact factor: 2.311

3.  Summary and consensus in 7th International Conference on acoustic neuroma: An update for the management of sporadic acoustic neuromas.

Authors:  Hao Wu; Liwei Zhang; Dongyi Han; Ying Mao; Jun Yang; Zhaoyan Wang; Wang Jia; Ping Zhong; Huan Jia
Journal:  World J Otorhinolaryngol Head Neck Surg       Date:  2016-12-24

4.  Geographic distribution of vestibular schwannomas in West Scotland between 2000-2015.

Authors:  Lisa Caulley; Michael Sawada; Kelsey Hinther; Ya-Tung Iris Ko; John A Crowther; Georgios Kontorinis
Journal:  PLoS One       Date:  2017-05-11       Impact factor: 3.240

5.  Developing an algorithm for cost-effective, clinically judicious management of peripheral nerve tumors.

Authors:  Harjus Birk; Corinna C Zygourakis; Michel Kliot
Journal:  Surg Neurol Int       Date:  2016-08-26

6.  Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network.

Authors:  V R Elgin Christo; H Khanna Nehemiah; B Minu; A Kannan
Journal:  Comput Math Methods Med       Date:  2019-09-23       Impact factor: 2.238

  6 in total

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