Abstract
This chapter reviews the development of prospective clinical registries suitable for use in neurosurgery and the use of available large databases to answer questions that may be of interest to investigators. The challenges, limitations, pitfalls, and work required to use such systems are discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Berkowitz O, Kondziolka D, Bissonette D, Niranjan A, Kano H, Lunsford LD. The evolution of a clinical registry during 25 years of experience with Gamma Knife radiosurgery in Pittsburgh. Neurosurg Focus. 2013;34(1):E4.
Kondziolka D, Cooper BT, Lunsford LD, Silverman JS. Development, implementation and use of a local and global clinical registry for stereotactic radiosurgery. Big Data. 2015;3(2):80–9. https://doi.org/10.1089/big.2014.0069.
Sheehan JP, Grills I, Chiang V, Dong H, Berg A, Warnick R, Kondziolka D, Kavanaugh B. Quality of life outcomes for brain metastasis patients treated with stereotactic radiosurgery: pre-procedural predictive factors from a prospective national registry. J Neurosurg. 2018:1–7. https://doi.org/10.3171/2018.8.JNS181599.
McGirt MJ, Speroff T, Dittus RS, Harrell FE Jr, Asher AL. The National Neurosurgery Quality and Outcomes Database (N2QOD): general overview and pilot-year project description. Neurosurg Focus. 2013;34(1):E6.
Selden NR, Ghogawala Z, Harbaugh RE, Litvack ZN, McGirt MJ, Asher AL. The future of practice science: challenges and opportunities for neurosurgery. Neurosurg Focus. 2013;34(1):E8.
Kannel WB, Schwartz MJ, McNamara PM. Blood pressure and risk of coronary heart disease: the Framingham study. Dis Chest. 1969;56(1):43–52.
Clark RE. The Society of Thoracic Surgeons National Database status report. Ann Thorac Surg. 1994;57(1):20–6.
Torrens M, Chung C, Chung HT, Hanssens P, Jaffray D, Kemeny A, et al. Standardization of terminology in stereotactic radiosurgery: Report from the Standardization Committee of the International Leksell Gamma Knife Society: special topic. J Neurosurg. 2014;121 Suppl:2–15.
Shahian DM, Edwards F, Grover FL, Jacobs JP, Wright CD, Prager RL, et al. The Society of Thoracic Surgeons National Adult Cardiac Database: a continuing commitment to excellence. J Thorac Cardiovasc Surg. 2010;140(5):955–9.
Hassani H, Saporta G, Silva E. Data mining and official statistics: the past, present and future. Big Data. 2014;2(1):34–43.
Kondziolka D, Nawn D, Zimmerman B, Sochats K. Knowledge network for authoring, reviewing, editing, searching, and using scientific or other credible information. Disrupt Sci Technol. 2012;1(1):3–10.
Schell K, Puri C, Mahler P, Dukatz C. Teaching an old log new tricks with machine learning. Big Data. 2014;2(1):7–11.
Asher AL, McGirt MJ, Glassman SD, Groman R, Resnick DK, Mehrlich M, et al. Regulatory considerations for prospective patient care registries: lessons learned from the National Neurosurgery Quality and Outcomes Database. Neurosurg Focus. 2013;34(1):E5.
Dokholyan RS, Muhlbaier LH, Falletta JM, Jacobs JP, Shahian D, Haan CK, et al. Regulatory and ethical considerations for linking clinical and administrative databases. Am Heart J. 2009;157(6):971–82.
Oravec C, Motiwala M, Reed K, Kondziolka D, Barker FG, Michael LM, Klimo P. Big data research in neurosurgery: a critical look at this popular new study design. Neurosurgery. 2017;82:728–46.
Kestle JR. Administrative database research. J Neurosurg. 2015;122:441–2.
Sampson JH, Lad SP, Herndon JE 2nd, Starke RM, Kondziolka D. SEER insights. J Neurosurg. 2014;120:297–8.
Sarda S, Moore MK, Chern JJ. Letter to the editor: readmission and reoperation after shunt surgery. J Neurosurg Pediatr. 2015;15(5):544–5.
Brockmeyer D. Editorial: does it pass the sniff test? Mining the NSQIP-P database for neurosurgical diseases. J Neurosurg Pediatr. 2016;18(4):413–5.
So L, Beck CA, Brien S, et al. Chart documentation quality and its relationship to the validity of administrative data discharge records. Health Informatics J. 2010;16(2):101–13.
Amin BY, Tu TH, Schairer WW, et al. Pitfalls of calculating hospital readmission rates based on nonvalidated administrative data sets: presented at the 2012 Joint Spine Section Meeting: clinical article. J Neurosurg Spine. 2013;18:134–8.
Bohl DD, Russo GS, Basques BA, et al. Variations in data collection methods between national databases affect study results: a comparison of the nationwide inpatient sample and national surgical quality improvement program databases for lumbar spine fusion procedures. J Bone Joint Surg Am. 2014;96(23):e193.
Lawson EH, Louie R, Zingmond DS, Brook RH, Hall BL, Han L, Rapp M, Ko CY. A comparison of clinical registry versus administrative claims data for reporting of 30-day surgical complications. Ann Surg. 2012;256(6):973–81.
Grimes DA. Epidemiologic research with administrative databases: red herrings, false alarms and pseudo-epidemics. Hum Reprod. 2015;30:1749–52.
Woodworth GF, Baird CJ, Garces-Ambrossi G, Tonascia J, Tamargo RJ. Inaccuracy of the administrative database: comparative analysis of two databases for the diagnosis and treatment of intracranial aneurysms. Neurosurgery. 2009;65:251–6.
Grimes DA. Epidemiologic research using administrative databases: garbage in, garbage out. Obstet Gynecol. 2010;116:1018–9.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Kondziolka, D. (2020). Registries and Big Data. In: Pouratian, N., Sheth, S. (eds) Stereotactic and Functional Neurosurgery. Springer, Cham. https://doi.org/10.1007/978-3-030-34906-6_38
Download citation
DOI: https://doi.org/10.1007/978-3-030-34906-6_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-34905-9
Online ISBN: 978-3-030-34906-6
eBook Packages: MedicineMedicine (R0)