Neurosurgery
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Significant evidence has indicated that the reporting quality of novel predictive models is poor because of confounding by small data sets, inappropriate statistical analyses, and a lack of validation and reproducibility. The Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) statement was developed to increase the generalizability of predictive models. This study evaluated the quality of predictive models reported in neurosurgical literature through their compliance with the TRIPOD guidelines. ⋯ Published predictive models in neurosurgery commonly fall short of meeting the established guidelines laid out by TRIPOD for optimal development, validation, and reporting. This lack of compliance may represent the minor extent to which these models have been subjected to external validation or adopted into routine clinical practice in neurosurgery.
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Pleomorphic xanthoastrocytoma (PXA) is a rare low-grade glial tumor primarily affecting young individuals. Surgery is the primary treatment option; however, managing residual/recurrent tumors remains uncertain. This international multi-institutional study retrospectively assessed the use of stereotactic radiosurgery (SRS) for PXA. ⋯ SRS offers promising outcomes for PXA management, providing effective LC, reasonable progression-free survival, and minimal adverse events.
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Surgery for the very elderly is a progressively important paradigm as life expectancy continues to rise. Patients with glioblastoma multiforme often undergo surgery, radiotherapy (RT), and chemotherapy (CT) to prolong overall survival (OS). However, the efficacy of these treatment modalities in patients aged 80 years and older has yet to be fully assessed in the literature. ⋯ Very elderly patients are less likely to receive GTR, RT, or CT when compared with elderly counterparts despite use of these therapies conferring improved OS. Selected very elderly patients may benefit from more aggressive attempts at surgical and adjuvant treatment.
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Academic productivity is viewed as a critical objective factor for a neurosurgery residency applicant. There has been a consistent rise in academic productivity over the last decade, but a lack of consistent data on the utility of this in helping neurosurgery residency programs identify which applicants will enter academic neurosurgery. This cross-sectional study evaluates the predictiveness of academic productivity before and during residency on career choice, both independent and dependent of training environment. ⋯ Only residency group ranking, not academic productivity, predicted a future academic career. For residency programs evaluating applicants as future academic neurosurgeons, this suggests that program environment is more predictive than traditionally valued characteristics such as research productivity. Additional work is needed to elucidate characteristics or practices by which future academic neurosurgeons can be identified.