Evidence map›Paper›PMID 39753906›Full record

Observational studyJournal of neuro-oncology2025

Creating a predictive model and online calculator for high-value care outcomes following glioblastoma resection: incorporating neighborhood socioeconomic status index.

Foad Kazemi, Julian L Gendreau, Megan Parker, Sachiv Chakravarti, Adrian E Jimenez, A Karim Ahmed, Jordina Rincon-Torroella, Christopher Jackson, Gary L Gallia, Chetan Bettegowda and 3 more

Abstract readObservational Study
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Observational study in Journal of neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Foad KazemiDepartment of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Julian L GendreauDepartment of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Megan ParkerDepartment of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Sachiv ChakravartiDepartment of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Adrian E JimenezDepartment of Neurosurgery, Columbia University Medical Center, New York, NY, USA.
A Karim AhmedDepartment of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Jordina Rincon-TorroellaDepartment of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Christopher JacksonDepartment of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Gary L GalliaDepartment of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Chetan BettegowdaDepartment of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Jon WeingartDepartment of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Henry BremDepartment of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Debraj MukherjeeDepartment of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA. dmukher1@jh.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSocial determinants of health including neighborhood socioeconomic status, have been established to play a profound role in overall access to care and outcomes in numerous specialized disease entities. To provide glioblastoma multiforme (GBM) patients with high-quality care, it is crucial to identify predictors of hospital length of stay (LOS), discharge disposition, and access to postoperative adjuvant chemoradiation. In this study, we incorporate a novel neighborhood socioeconomic status index (NSES) and develop three predictive algorithms for assessing post-operative outcomes in GBM patients, offering a tool for preoperative risk stratification of GBM patients.

methodsAdult GBM patients who underwent surgical resection from a single center were identified; NSES was identified via patient street address of residence, with lower scores representing disadvantaged neighborhoods. Multivariate logistic regression analysis was used to predict high value care outcomes. The Hosmer-Lemeshow test was used to assess model calibration.

resultsA total of 467 patients were included, with a mean age of 59.85 ± 13.21 years and 58.7% being male. The mean NSES for our cohort was 63.77 ± 14.91, indicating that the majority resided in neighborhoods with a higher socioeconomic status compared to the national average NSES of 50. One hundred nine (23.3%) patients had extended LOS, 28.9% had non-routine discharge, and 19.1% did not follow the Stupp protocol following surgery. On multivariate regression, worse NSES was significantly and independently associated with extended LOS (OR = 0.981, p = 0.026), non-routine discharge disposition (OR = 0.984, p = 0.033), and non-compliance with the Stupp protocol (OR = 0.977, p = 0.014). Our three models predicting high-value care outcomes had acceptable C-statistics > 0.70, and all models demonstrated adequate calibration (p > 0.05). Final models are accessible via online calculator. https://neurooncsurgery4.shinyapps.io/GBM_NSES_Caclulator/

conclusionNSES scores are readily available and may be utilized via our open-access calculators. After external validation, our predictive models have the potential to assist in providing patients with individualized risk estimates for post-operative outcomes following GBM resection.

Indexed as

Brain NeoplasmsGlioblastomaNeighborhood CharacteristicsResidence CharacteristicsSocial ClassAdultAgedFemaleHumansLength of StayMaleMiddle AgedPrognosisRetrospective StudiesGBM outcomesGlioblastomaNeighborhood disadvantageNeighborhood socioeconomic status indexPredictive calculator

Identifiers

PMID39753906

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.