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Your search keyword '"Goodwin, C. Rory"' showing total 623 results
Start Over Author "Goodwin, C. Rory" Publication Type Academic Journals
623 results on '"Goodwin, C. Rory"'

10. Comparison of intraoperative and postoperative outcomes between open, wiltse, and percutaneous approach to traumatic thoracolumbar spine fractures without neurological injury: A systematic review and meta-analysis

Author

Al-Naseem, Abdulrahman O., Mehkri, Yusuf, Chakravarti, Sachiv, Johnson, Eli, Kelly-Hedrick, Margot, Kuo, Cathleen, Erickson, Melissa, Than, Khoi D., Rocos, Brett, Bhowmick, Deb, Shaffrey, Christopher I., Foster, Norah, Baaj, Ali, Dahdaleh, Nader, Goodwin, C. Rory, Williamson, Theresa L., Lu, Yi, and Abd-El-Barr, Muhammad M.

Published
2024
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11. Systemic considerations for the surgical treatment of spinal metastatic disease: a scoping literature review.

Author

MacLean, Mark A, Touchette, Charles J, Georgiopoulos, Miltiadis, Brunette-Clément, Tristan, Abduljabbar, Fahad H, Ames, Christopher P, Bettegowda, Chetan, Charest-Morin, Raphaele, Dea, Nicolas, Fehlings, Michael G, Gokaslan, Ziya L, Goodwin, C Rory, Laufer, Ilya, Netzer, Cordula, Rhines, Laurence D, Sahgal, Arjun, Shin, John H, Sciubba, Daniel M, Stephens, Byron F, Fourney, Daryl R, Weber, Michael H, and AO Spine Knowledge Forum Tumor

Subjects
AO Spine Knowledge Forum Tumor, Humans, Spinal Cord Neoplasms, Neoplasm Metastasis, Female, Male, Cardiovascular, Patient Safety, Clinical Research, 7.3 Management and decision making, Management of diseases and conditions, Good Health and Well Being, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Systemic assessment is a pillar in the neurological, oncological, mechanical, and systemic (NOMS) decision-making framework for the treatment of patients with spinal metastatic disease. Despite this importance, emerging evidence relating systemic considerations to clinical outcomes following surgery for spinal metastatic disease has not been comprehensively summarised. We aimed to conduct a scoping literature review of this broad topic. We searched MEDLINE, Embase, Scopus, Cochrane Central Register of Controlled Trials, Web of Science, and CINAHL databases from Jan 1, 2000, to July 31, 2021. 61 articles were included, accounting for a total of 22 335 patients. Preoperative systemic variables negatively associated with postoperative clinical outcomes included demographics (eg, older age [>60 years], Black race, male sex, low or elevated body-mass index, and smoking status), medical comorbidities (eg, cardiac, pulmonary, hepatic, renal, endocrine, vascular, and rheumatological), biochemical abnormalities (eg, hypoalbuminaemia, atypical blood cell counts, and elevated C-reactive protein concentration), low muscle mass, generalised motor weakness (American Spinal Cord Injury Association Impairment Scale grade and Frankel grade) and poor ambulation, reduced performance status, and systemic disease burden. This is the first comprehensive scoping review to broadly summarise emerging evidence relevant to the systemic assessment component of the widely used NOMS framework for spinal metastatic disease decision making. Medical, surgical, and radiation oncologists can consider these findings when prognosticating spinal metastatic disease-related surgical outcomes on the basis of patients' systemic condition. These factors might inform a shared decision-making approach with patients and their families.

Published
2022

19. Scoring System to Triage Patients for Spine Surgery in the Setting of Limited Resources: Application to the Coronavirus Disease 2019 (COVID-19) Pandemic and Beyond

Author

Sciubba, Daniel M, Ehresman, Jeff, Pennington, Zach, Lubelski, Daniel, Feghali, James, Bydon, Ali, Chou, Dean, Elder, Benjamin D, Elsamadicy, Aladine A, Goodwin, C Rory, Goodwin, Matthew L, Harrop, James, Klineberg, Eric O, Laufer, Ilya, Lo, Sheng-Fu L, Neuman, Brian J, Passias, Peter G, Protopsaltis, Themistocles, Shin, John H, Theodore, Nicholas, Witham, Timothy F, and Benzel, Edward C

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Good Health and Well Being, Betacoronavirus, COVID-19, Coronavirus Infections, Decision Making, Elective Surgical Procedures, Health Care Rationing, Humans, Pandemics, Patient Selection, Pneumonia, Viral, SARS-CoV-2, Triage, Medical ethics, Pandemic, Rationing, Resource allocation, Spine surgery, Neurosciences, Clinical sciences
Abstract

BackgroundAs of May 4, 2020, the coronavirus disease 2019 (COVID-19) pandemic has affected >3.5 million people and touched every inhabited continent. Accordingly, it has stressed health systems worldwide, leading to the cancellation of elective surgical cases and discussions regarding health care resource rationing. It is expected that rationing of surgical resources will continue even after the pandemic peak and may recur with future pandemics, creating a need for a means of triaging patients for emergent and elective spine surgery.MethodsUsing a modified Delphi technique, a cohort of 16 fellowship-trained spine surgeons from 10 academic medical centers constructed a scoring system for the triage and prioritization of emergent and elective spine surgeries. Three separate rounds of videoconferencing and written correspondence were used to reach a final scoring system. Sixteen test cases were used to optimize the scoring system so that it could categorize cases as requiring emergent, urgent, high-priority elective, or low-priority elective scheduling.ResultsThe devised scoring system included 8 independent components: neurologic status, underlying spine stability, presentation of a high-risk postoperative complication, patient medical comorbidities, expected hospital course, expected discharge disposition, facility resource limitations, and local disease burden. The resultant calculator was deployed as a freely available Web-based calculator (https://jhuspine3.shinyapps.io/SpineUrgencyCalculator/).ConclusionsWe present the first quantitative urgency scoring system for the triage and prioritizing of spine surgery cases in resource-limited settings. We believe that our scoring system, although not all encompassing, has potential value as a guide for triaging spine surgical cases during the COVID pandemic and post-COVID period.

Published
2020

24. Attitudes and trends in the use of radiolucent spinal implants: A survey of the North American Spine Society section of spinal oncology

Author

Zavras, Athan G., Schoenfeld, Andrew J., Patt, Joshua C., Munim, Mohammed A., Goodwin, C. Rory, Goodwin, Matthew L., Lo, Sheng-Fu Larry, Redmond, Kristin J., Tobert, Daniel G., Shin, John H., Ferrone, Marco L., Laufer, Ilya, Saifi, Comron, Buchowski, Jacob M., Jennings, Jack W., Ozturk, Ali K., Huang-Wright, Christina, Mesfin, Addisu, Steyn, Chris, Hsu, Wesley, Soliman, Hesham M., Krishnaney, Ajit A., Sciubba, Daniel M., Schwab, Joseph H., and Colman, Matthew W.

Published
2022
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25. Validation of the graded prognostic assessment and recursive partitioning analysis as prognostic tools using a modern cohort of patients with brain metastases.

Author

Sperber, Jacob, Yoo, Seeley, Owolo, Edwin, Dalton, Tara, Zachem, Tanner J, Johnson, Eli, Herndon, James E, Nguyen, Annee D, Hockenberry, Harrison, Bishop, Brandon, Abu-Bonsrah, Nancy, Cook, Steven H, Fecci, Peter E, Sperduto, Paul W, Johnson, Margaret O, Erickson, Melissa M, and Goodwin, C Rory

Subjects
PROPORTIONAL hazards models, RECURSIVE partitioning, PROGNOSTIC tests, OVERALL survival, PROGNOSTIC models
Abstract

Background Prognostic indices for patients with brain metastases (BM) are needed to individualize treatment and stratify clinical trials. Two frequently used tools to estimate survival in patients with BM are the recursive partitioning analysis (RPA) and the diagnosis-specific graded prognostic assessment (DS-GPA). Given recent advances in therapies and improved survival for patients with BM, this study aims to validate and analyze these 2 models in a modern cohort. Methods Patients diagnosed with BM were identified via our institution's Tumor Board meetings. Data were retrospectively collected from the date of diagnosis with BM. The concordance of the RPA and GPA was calculated using Harrell's C index. A Cox proportional hazards model with backwards elimination was used to generate a parsimonious model predictive of survival. Results Our study consisted of 206 patients diagnosed with BM between 2010 and 2019. The RPA had a prediction performance characterized by Harrell's C index of 0.588. The DS-GPA demonstrated a Harrell's C index of 0.630. A Cox proportional hazards model assessing the effect of age, presence of lung, or liver metastases, and Eastern Cooperative Oncology Group (ECOG) performance status score of 3/4 on survival yielded a Harrell's C index of 0.616. Revising the analysis with an uncategorized ECOG demonstrated a C index of 0.648. Conclusions We found that the performance of the RPA remains unchanged from previous validation studies a decade earlier. The DS-GPA outperformed the RPA in predicting overall survival in our modern cohort. Analyzing variables shared by the RPA and DS-GPA produced a model that performed analogously to the DS-GPA. [ABSTRACT FROM AUTHOR]

Published
2024
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31. A Web-Based Calculator for Predicting the Occurrence of Wound Complications, Wound Infection, and Unplanned Reoperation for Wound Complications in Patients Undergoing Surgery for Spinal Metastases

Author

Hersh, Andrew M., Feghali, James, Hung, Bethany, Pennington, Zach, Schilling, Andy, Antar, Albert, Patel, Jaimin, Ehresman, Jeff, Cottrill, Ethan, Lubelski, Daniel, Elsamadicy, Aladine A., Goodwin, C. Rory, Lo, Sheng-fu Larry, and Sciubba, Daniel M.

Published
2021
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42. A Comparison of Palliative Care Perceptions Across Metastatic Spine Patients and the General Population.

Author

Dalton, Tara, Hockenberry, Harrison, Murphy, Kelly, Price, Meghan, Bishop, Brandon, Owolo, Edwin, Sperber, Jacob, Charles, Antionette, Rowe, Dana, Johnson, Eli, Fricklas, Elise, Johnson, Margaret O., and Goodwin, C. Rory

Subjects
SCALE analysis (Psychology), PALLIATIVE treatment, RESEARCH funding, T-test (Statistics), SPINAL tumors, PUBLIC opinion, RETROSPECTIVE studies, DESCRIPTIVE statistics, CHI-squared test, SYMPTOM burden, METASTASIS, SURVEYS, MEDICAL records, ACQUISITION of data, PHYSICIAN-patient relations, CANCER patient psychology, COMPARATIVE studies, DATA analysis software, PATIENTS' attitudes, MEDICAL referrals
Abstract

Background: Palliative care (PC) has been shown to benefit patients with metastatic cancer by managing symptoms, improving quality of life, and facilitating advance care planning. Despite this, PC is often misunderstood and underutilized. Objective: To deepen our understanding of PC barriers seen among the spine metastasis population. Design/Setting: Between March 2021 and August 2022, people with metastatic spine tumors (MSTs) at a multidisciplinary oncology clinic were administered a survey on PC prior to their scheduled appointment. These responses were compared with the Health Information National Trends Survey 5 (HINTS 5), which is a validated survey created by the National Cancer Institute between February and June of 2020. Chi-squared statistical analysis was used. Results: Fifty-six people with MST were compared with 3795 patients from the HINTS 5 database. People with MST reported a significantly higher baseline understanding of PC when compared with the general population (GP) (chi-squared = 34.4, p = <0.0001). People with MST had a higher frequency of disagreement with the statement "PC is equivalent with death" when compared with the GP (chi-squared = 12.8, p = 0.0124). Over 25% of the MST group reported no understanding of PC. Conclusion: MST patients are often referred to PC services due to the extreme symptom burden of their disease. Based on this study, in comparison to the GP, people with MST tended to have a more accurate and well-adjusted perception of the goals and functions of PC. Although reassuring, there remains a high proportion of patients who have no knowledge of PC, and groups erroneously associated PC with hospice status. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Scoring System to Triage Patients for Spine Surgery in the Setting of Limited Resources: Application to the Coronavirus Disease 2019 (COVID-19) Pandemic and Beyond

Author

Sciubba, Daniel M., Ehresman, Jeff, Pennington, Zach, Lubelski, Daniel, Feghali, James, Bydon, Ali, Chou, Dean, Elder, Benjamin D., Elsamadicy, Aladine A., Goodwin, C. Rory, Goodwin, Matthew L., Harrop, James, Klineberg, Eric O., Laufer, Ilya, Lo, Sheng-Fu L., Neuman, Brian J., Passias, Peter G., Protopsaltis, Themistocles, Shin, John H., Theodore, Nicholas, Witham, Timothy F., and Benzel, Edward C.

Published
2020
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