Kumar Neerav, Xu Grace Dydian, Lathrop Cooper, Shi Jeffrey, Kumar Abhinav, Winston Graham, Quraishi Danyal Ahmed, Akosman Izzet, Larsen Alexandra Giantini, Hussain Ibrahim, Hoffman Caitlin
Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, USA.
Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
Neurosurg Rev. 2025 Mar 28;48(1):334. doi: 10.1007/s10143-025-03477-2.
To use AI-assisted software to identify gender, racial, and socioeconomic differences in post-operative outcomes following pediatric neuro-oncology surgery. PubMed, Scopus, Web of Science, and Ovid were queried using a semi-automated software. Meta-analyses quantified pooled odds ratios for overall survival (OS), gross total resection (GTR), recurrence, 30-day readmission, medical complications (neurologic and endocrinologic), and surgical complications. Where possible, subanalyses were performed based on study type and cranial tumor location. Sixty-seven studies were included. Across all studies, white children had greater OS (OR 0.70, 95% CI [0.55, 0.88]) and GTR (OR 0.86, 95% CI [0.78, 0.93]), while non-white children more often had a medical complication (OR 1.33, 95% CI [1.01, 1.76]). Those with government insurance (OR 1.72, 95% CI [1.01, 2.92]) or lower household income (OR 1.25, 95% CI [1.10, 1.42]) had higher 30-day readmission rates. Patients treated at a small-volume facility had lower rates (OR 0.80, 95% CI [0.71, 0.91]). Subanalyses of case series showed female patients were at higher risk of endocrinologic complications (OR 2.56, 95% CI [1.17, 5.64]), namely hypopituitarism (OR 3.29, 95% CI [1.10, 9.86]). In cohort studies, female patients more often experienced diabetes insipidus (OR 2.22, 95% CI [1.20, 4.08]). Non-white, government-insured, lower-income, and female patients are more likely to experience an adverse event. This study identifies the importance of considering demographic variables during pre-operative risk assessment. Our findings warrant further subgroup analyses across varying tumor locations and types to elucidate parameters contributing to these disparities and explore interventions.
使用人工智能辅助软件识别小儿神经肿瘤手术后结果中的性别、种族和社会经济差异。使用半自动软件查询了PubMed、Scopus、Web of Science和Ovid。荟萃分析对总生存期(OS)、全切除(GTR)、复发、30天再入院率、医疗并发症(神经和内分泌)以及手术并发症的合并比值比进行了量化。在可能的情况下,根据研究类型和颅部肿瘤位置进行了亚组分析。纳入了67项研究。在所有研究中,白人儿童的总生存期(OR 0.70,95%CI[0.55,0.88])和全切除率(OR 0.86,95%CI[0.78,0.93])更高,而非白人儿童更常出现医疗并发症(OR 1.33,95%CI[1.01,1.76])。有政府保险(OR 1.72,95%CI[1.01,2.92])或家庭收入较低(OR 1.25,95%CI[1.10,1.42])的患者30天再入院率更高。在小容量机构接受治疗的患者比率较低(OR 0.80,95%CI[0.71,0.9])。病例系列的亚组分析显示,女性患者发生内分泌并发症的风险更高(OR 2.56,95%CI[1.17,5.64]),即垂体功能减退(OR 3.29,95%CI[1.10,9.86])。在队列研究中,女性患者更常出现尿崩症(OR 2.22,95%CI[1.20,4.08])。非白人、有政府保险、低收入和女性患者更有可能发生不良事件。本研究确定了术前风险评估期间考虑人口统计学变量的重要性。我们的研究结果需要在不同肿瘤位置和类型中进行进一步的亚组分析,以阐明导致这些差异的参数并探索干预措施。