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Associations of race and socioeconomic status with outcomes after intracranial meningioma resection: a systematic review and meta-analysis

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Abstract

Purpose

Social determinants of health broadly affect healthcare access and outcomes. Studies report that minorities and low socioeconomic status (SES) patients undergoing intracranial meningioma resection demonstrate worse outcomes and higher mortality rates. This systematic review and meta-analysis summarizes the available research reporting racial and SES disparities in intracranial meningioma resection outcomes.

Methods

A systematic review was conducted using PRISMA guidelines and included peer-reviewed, English-language articles from the United States between 2000 and 2022 that reported racial and SES disparities in meningioma outcomes. Outcomes included overall survival (OS), extent of resection (EOR), hospitalization costs, length of stay (LOS), 30-day readmission, recurrence, and receipt of surgery and adjuvant radiotherapy. A quantitative meta-analysis was performed only on survival outcomes by race. All other variables were summarized as a systematic review.

Results

633 articles were identified; 19 studies met inclusion criteria. Black or low SES patients were more likely to have increased hospitalization costs, rates of 30-day readmission, LOS, recurrence and less likely to undergo surgery, gross total resection, and adjuvant radiotherapy for their tumors. Six studies were used for the quantitative meta-analysis of race and OS. Compared to White patients, Black patients had significantly worse survival outcomes, and Asian patients had significantly better survival outcomes.

Conclusion

Disparities in outcomes exist for patients who undergo surgery for meningioma, such that Black and low SES patients have worse outcomes. The literature is quite sparse and contains confounding relationships not often accounted for appropriately. Further studies are needed to help understand these disparities to improve outcomes.

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References

  1. Jackson HN, Hadley CC, Khan AB, Gadot R, Bayley JCt, Shetty A, Mandel J, Jalali A, Gallagher KK, Sweeney AD, Harmanci AO, Harmanci AS, Klisch T, Gopinath SP, Rao G, Yoshor D, Patel AJ (2022) Racial and socioeconomic disparities in patients with Meningioma: a retrospective cohort study. Neurosurgery 90:114–123. https://doi.org/10.1227/neu.0000000000001751

    Article  PubMed  Google Scholar 

  2. Wong MD, Shapiro MF, Boscardin WJ, Ettner SL (2002) Contribution of major diseases to disparities in mortality. N Engl J Med 347:1585–1592. https://doi.org/10.1056/NEJMsa012979

    Article  PubMed  Google Scholar 

  3. Kivimäki M, Batty GD, Pentti J, Shipley MJ, Sipilä PN, Nyberg ST, Suominen SB, Oksanen T, Stenholm S, Virtanen M, Marmot MG, Singh-Manoux A, Brunner EJ, Lindbohm JV, Ferrie JE, Vahtera J (2020) Association between socioeconomic status and the development of mental and physical health conditions in adulthood: a multi-cohort study. Lancet Public Health 5:e140–e149. https://doi.org/10.1016/s2468-2667(19)30248-8

    Article  PubMed  Google Scholar 

  4. Institute of Medicine Committee on U, Eliminating R, Ethnic, Disparities (2003) in Health C In: Smedley BD, Stith AY, Nelson AR (eds) Unequal treatment: confronting racial and ethnic disparities in Health Care. National Academies Press (US) copyright 2002 by the National Academy of Sciences. All rights reserved., Washington (DC)

    Google Scholar 

  5. Curry WT Jr, Barker FG 2nd (2009) Racial, ethnic and socioeconomic disparities in the treatment of brain tumors. J Neurooncol 93:25–39. https://doi.org/10.1007/s11060-009-9840-5

    Article  PubMed  Google Scholar 

  6. Mukherjee D, Zaidi HA, Kosztowski T, Chaichana KL, Brem H, Chang DC, Quiñones-Hinojosa A (2010) Disparities in access to neuro-oncologic care in the United States. Arch Surg 145:247–253. https://doi.org/10.1001/archsurg.2009.288

    Article  PubMed  Google Scholar 

  7. Anzalone CL, Glasgow AE, Van Gompel JJ, Carlson ML (2019) Racial differences in Disease Presentation and Management of Intracranial Meningioma. J Neurol Surg B Skull Base 80:555–561. https://doi.org/10.1055/s-0038-1676788

    Article  PubMed  Google Scholar 

  8. Mukherjee D, Patil CG, Todnem N, Ugiliweneza B, Nuño M, Kinsman M, Lad SP, Boakye M (2013) Racial disparities in Medicaid patients after brain tumor surgery. J Clin Neurosci 20:57–61. https://doi.org/10.1016/j.jocn.2012.05.014

    Article  PubMed  Google Scholar 

  9. Yost K, Perkins C, Cohen R, Morris C, Wright W (2001) Socioeconomic status and breast cancer incidence in California for different race/ethnic groups. Cancer Causes Control 12:703–711. https://doi.org/10.1023/a:1011240019516

    Article  CAS  PubMed  Google Scholar 

  10. Moola SMZ, Tufanaru C, Aromataris E, Sears K, Sfetcu R, Currie M, Qureshi R, Mattis P, Lisy K, Mu P-F (2020) Systematic reviews of etiology and risk JBI Manual for Evidence Synthesis Chap. 7

  11. Duong C, Nguyen T, Sheppard JP, Ong V, Chung LK, Nagasawa DT, Yang I (2017) Genomic and molecular characterization of Brain Tumors in Asian and non-asian patients of Los Angeles: a single Institution Analysis. Brain Tumor Res Treat 5:64–69. https://doi.org/10.14791/btrt.2017.5.2.64

    Article  PubMed  PubMed Central  Google Scholar 

  12. Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383. https://doi.org/10.1016/0021-9681(87)90171-8

    Article  CAS  PubMed  Google Scholar 

  13. Hauser BM, Gupta S, Xu E, Wu K, Bernstock JD, Chua M, Khawaja AM, Smith TR, Dunn IF, Bergmark RW, Bi WL (2020) Impact of insurance on hospital course and readmission after resection of benign meningioma. J Neurooncol 149:131–140. https://doi.org/10.1007/s11060-020-03581-x

    Article  PubMed  PubMed Central  Google Scholar 

  14. McKee SP, Yang A, Gray M, Zeiger J, Bederson JB, Govindaraj S, Iloreta AMC, Shrivastava RK (2018) Intracranial meningioma surgery: value-based care determinants in New York State, 1995–2015. World Neurosurg 118:e731–e744. https://doi.org/10.1016/j.wneu.2018.07.030

    Article  PubMed  Google Scholar 

  15. Orton A, Frandsen J, Jensen R, Shrieve DC, Suneja G (2018) Anaplastic meningioma: an analysis of the National Cancer Database from 2004 to 2012. J Neurosurg 128:1684–1689. https://doi.org/10.3171/2017.2.Jns162282

    Article  PubMed  Google Scholar 

  16. Spadola M, Farooqi A, Dimentberg R, Blue R, Shultz K, McClintock SD, Malhotra N (2020) The effect of household income on outcomes following supratentorial meningioma resection. Clin Neurol Neurosurg 195:106031. https://doi.org/10.1016/j.clineuro.2020.106031

    Article  PubMed  Google Scholar 

  17. Spadola M, Farooqi AS, Borja AJ, Dimentberg R, Blue R, Shultz K, McClintock SD, Malhotra NR (2022) Socioeconomic Status predicts short-term Emergency Department utilization following Supratentorial Meningioma Resection. Cureus 14:e24508. https://doi.org/10.7759/cureus.24508

    Article  PubMed  PubMed Central  Google Scholar 

  18. Cahill KS, Claus EB (2011) Treatment and survival of patients with nonmalignant intracranial meningioma: results from the Surveillance, Epidemiology, and end results program of the National Cancer Institute. Clinical article. J Neurosurg 115:259–267. https://doi.org/10.3171/2011.3.Jns101748

    Article  PubMed  PubMed Central  Google Scholar 

  19. Brewster R, Deb S, Pendharkar AV, Ratliff J, Li G, Desai A (2022) The effect of socioeconomic status on age at diagnosis and overall survival in patients with intracranial meningioma. Int J Neurosci 132:413–420. https://doi.org/10.1080/00207454.2020.1818742

    Article  PubMed  Google Scholar 

  20. Bhambhvani HP, Rodrigues AJ, Medress ZA, Hayden Gephart M (2020) Racial and socioeconomic correlates of treatment and survival among patients with meningioma: a population-based study. J Neurooncol 147:495–501. https://doi.org/10.1007/s11060-020-03455-2

    Article  PubMed  Google Scholar 

  21. Rydzewski NR, Lesniak MS, Chandler JP, Kalapurakal JA, Pollom E, Tate MC, Bloch O, Kruser T, Dalal P, Sachdev S (2018) Gross total resection and adjuvant radiotherapy most significant predictors of improved survival in patients with atypical meningioma. Cancer 124:734–742. https://doi.org/10.1002/cncr.31088

    Article  PubMed  Google Scholar 

  22. Lin M, Min E, Orloff EA, Ding L, Youssef KSR, Hu JS, Giannotta SL, Mack WJ, Attenello FJ (2020) Predictors of readmission after craniotomy for meningioma resection: a nationwide readmission database analysis. Acta Neurochir (Wien) 162:2637–2646. https://doi.org/10.1007/s00701-020-04528-x

    Article  PubMed  Google Scholar 

  23. Aizer AA, Bi WL, Kandola MS, Lee EQ, Nayak L, Rinne ML, Norden AD, Beroukhim R, Reardon DA, Wen PY, Al-Mefty O, Arvold ND, Dunn IF, Alexander BM (2015) Extent of resection and overall survival for patients with atypical and malignant meningioma. Cancer 121:4376–4381. https://doi.org/10.1002/cncr.29639

    Article  PubMed  Google Scholar 

  24. Materi J, Mampre D, Ehresman J, Rincon-Torroella J, Chaichana KL (2020) Predictors of recurrence and high growth rate of residual meningiomas after subtotal resection. J Neurosurg 1–7. https://doi.org/10.3171/2019.10.Jns192466

  25. Garzon-Muvdi T, Yang W, Lim M, Brem H, Huang J (2017) Atypical and anaplastic meningioma: outcomes in a population based study. J Neurooncol 133:321–330. https://doi.org/10.1007/s11060-017-2436-6

    Article  CAS  PubMed  Google Scholar 

  26. Ramos-Fresnedo A, Domingo RA, Vivas-Buitrago T, Lundy L, Trifiletti DM, Jentoft ME, Desai AB, Quiñones-Hinojosa A (2020) Multiple meningiomas: does quantity matter? A population-based survival analysis with underlined age and sex differences. J Neurooncol 149:413–420. https://doi.org/10.1007/s11060-020-03620-7

    Article  CAS  PubMed  Google Scholar 

  27. Levesque JF, Harris MF, Russell G (2013) Patient-centred access to health care: conceptualising access at the interface of health systems and populations. Int J Equity Health 12:18. https://doi.org/10.1186/1475-9276-12-18

    Article  PubMed  PubMed Central  Google Scholar 

  28. Chen WC, Braunstein SE (2020) Radiation therapy of meningioma. Handb Clin Neurol 170:279–289. https://doi.org/10.1016/b978-0-12-822198-3.00047-1

    Article  PubMed  Google Scholar 

  29. Brooks Carthon JM, Jarrín O, Sloane D, Kutney-Lee A (2013) Variations in postoperative complications according to race, ethnicity, and sex in older adults. J Am Geriatr Soc 61:1499–1507. https://doi.org/10.1111/jgs.12419

    Article  PubMed  Google Scholar 

  30. van den Berg I, Buettner S, van den Braak R, Ultee KHJ, Lingsma HF, van Vugt JLA, Ijzermans JNM (2020) Low socioeconomic status is Associated with worse outcomes after curative surgery for Colorectal Cancer: results from a large, Multicenter Study. J Gastrointest Surg 24:2628–2636. https://doi.org/10.1007/s11605-019-04435-2

    Article  PubMed  Google Scholar 

  31. Krawisz AK, Natesan S, Wadhera RK, Chen S, Song Y, Yeh RW, Jaff MR, Giri J, Julien H, Secemsky EA (2022) Differences in comorbidities explain black-white Disparities in Outcomes after Femoropopliteal Endovascular intervention. Circulation 146:191–200. https://doi.org/10.1161/circulationaha.122.058998

    Article  PubMed  PubMed Central  Google Scholar 

  32. Thomas G, Almeida ND, Mast G, Quigley R, Almeida NC, Amdur RL, Moss A, Mahfuz A, Sherman JH (2021) Racial disparities affecting postoperative outcomes after brain tumor resection. World Neurosurg 155:e665–e673. https://doi.org/10.1016/j.wneu.2021.08.112

    Article  PubMed  Google Scholar 

  33. Buchanan IA, Donoho DA, Patel A, Lin M, Wen T, Ding L, Giannotta SL, Mack WJ, Attenello F (2018) Predictors of Surgical site infection after nonemergent craniotomy: a Nationwide Readmission Database Analysis. World Neurosurg 120:e440–e452. https://doi.org/10.1016/j.wneu.2018.08.102

    Article  PubMed  PubMed Central  Google Scholar 

  34. Curry WT Jr, Carter BS, Barker FG 2nd (2010) Racial, ethnic, and socioeconomic disparities in patient outcomes after craniotomy for tumor in adult patients in the United States, 1988–2004. Neurosurgery 66:427–437 discussion 437 – 428. https://doi.org/10.1227/01.Neu.0000365265.10141.8e

    Article  PubMed  Google Scholar 

  35. Bi WL, Greenwald NF, Abedalthagafi M, Wala J, Gibson WJ, Agarwalla PK, Horowitz P, Schumacher SE, Esaulova E, Mei Y, Chevalier A, Ducar M, Thorner AR, van Hummelen P, Stemmer-Rachamimov A, Artyomov M, Al-Mefty O, Dunn GP, Santagata S, Dunn IF, Beroukhim R (2017) Genomic landscape of high-grade meningiomas. NPJ Genom Med 2. https://doi.org/10.1038/s41525-017-0014-7

    Article  Google Scholar 

  36. Ruiz JM, Steffen P, Smith TB (2013) Hispanic mortality paradox: a systematic review and meta-analysis of the longitudinal literature. Am J Public Health 103:e52–60. https://doi.org/10.2105/ajph.2012.301103

    Article  PubMed  PubMed Central  Google Scholar 

  37. Yang AI, Mensah-Brown KG, Rinehart C, Fathy R, Hitti FL, Brant J, Lee JYK (2020) Inequalities in Meningioma Survival: results from the National Cancer Database. Cureus 12:e7304. https://doi.org/10.7759/cureus.7304

    Article  PubMed  PubMed Central  Google Scholar 

  38. Borrell LN, Elhawary JR, Fuentes-Afflick E, Witonsky J, Bhakta N, Wu AHB, Bibbins-Domingo K, Rodríguez-Santana JR, Lenoir MA, Gavin JR 3rd, Kittles RA, Zaitlen NA, Wilkes DS, Powe NR, Ziv E, Burchard EG (2021) Race and genetic ancestry in Medicine - A Time for reckoning with racism. N Engl J Med 384:474–480. https://doi.org/10.1056/NEJMms2029562

    Article  PubMed  PubMed Central  Google Scholar 

  39. Mulhern KC, Wahl TS, Goss LE, Feng K, Richman JS, Morris MS, Chen H, Chu DI (2017) Reduced disparities and improved surgical outcomes for Asian Americans with colorectal cancer. J Surg Res 218:23–28. https://doi.org/10.1016/j.jss.2017.05.036

    Article  PubMed  Google Scholar 

  40. Williams DR, Mohammed SA, Leavell J, Collins C (2010) Race, socioeconomic status, and health: complexities, ongoing challenges, and research opportunities. Ann N Y Acad Sci 1186:69–101. https://doi.org/10.1111/j.1749-6632.2009.05339.x

    Article  PubMed  PubMed Central  Google Scholar 

  41. McMaughan DJ, Oloruntoba O, Smith ML (2020) Socioeconomic Status and Access to Healthcare: interrelated drivers for healthy aging. Front Public Health 8:231. https://doi.org/10.3389/fpubh.2020.00231

    Article  PubMed  PubMed Central  Google Scholar 

  42. Graham G (2015) Disparities in cardiovascular disease risk in the United States. Curr Cardiol Rev 11:238–245. https://doi.org/10.2174/1573403x11666141122220003

    Article  PubMed  PubMed Central  Google Scholar 

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The authors declare that no funds, grants, or other support was received during the preparation of this manuscript.

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JM, HL, and JKT contributed to the study conception and design. Material preparation, data collection, and analysis were performed by HL, JKT, JO, and RQ. The first draft of the manuscript was written by HL and JKT, and all figures and tables were prepared by HL. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Jennifer Moliterno.

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JM is a consultant for BK Medical. All other authors have no relevant financial or non-financial interests to disclose.

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Lei, H., Tabor, J.K., O’Brien, J. et al. Associations of race and socioeconomic status with outcomes after intracranial meningioma resection: a systematic review and meta-analysis. J Neurooncol 163, 529–539 (2023). https://doi.org/10.1007/s11060-023-04393-5

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