SynthesisJournal of neuro-oncology2025
Optimizing workflows for metastatic central nervous system disease: a systematic review and proposed guidelines.
Synthesis 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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Authors and funding
12 authors.
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Abstract
introductionBrain and spine metastases are a major cause of morbidity and mortality in patients with malignancy. Aside from advancements in medical, surgical, and radiation therapies, patient workflow optimization augments care. Here, we present the first systematic review to identify opportunities in workflow optimization and use these findings to present guidelines for operational excellence.
methodsPubMed/MEDLINE, Embase, and Web of Science databases were searched for peer-reviewed studies evaluating optimization points within treatment workflows for brain and spinal metastases. Inclusion criteria encompassed rapid diagnostic models, expedited care pathways, and quality improvement interventions for metastatic disease, whereas non-English and case reports were excluded. Eligible studies were screened, and data such as study design, outcomes, and bias were recorded using Cochrane's RoB-1 analysis. This protocol was prospectively registered in PROSPERO (CRD420251016218).
results30 studies were included, with a total of 23,697 patient participants. These studies focused on patient education, referral to surgery, referral from surgery to radiation oncology, and referral from surgery to medical oncology. These studies highlighted the benefits of expediting triaging, referral speed, and treatment initiation in the context of valuable resources such as a comprehensive clinical team and artificial intelligence in radiology and cytopathology.
conclusionsOptimizing workflows around the current literature for metastatic brain and spine disease identifies critical areas of improvement to enhance outcomes. We draw from this literature to propose guidelines for delivering a comprehensive and standardized patient workflow. Future studies targeting these salient points will further improve quality and advance patient care.
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