Gliomas represent a heterogeneous group of primary brain tumors with variable biological behavior. High-grade variants, notably glioblastomas, exhibit aggressive growth and a poor prognosis. Although surgical resection is central to management, it may lead to systemic and regional postoperative complications that adversely affect outcomes. While neurological complications have been extensively studied, comprehensive analyses of non-neurological sequelae remain limited. This study aimed to estimate the pooled proportion of postoperative systemic and regional complications following glioma resection and to identify factors influencing these proportions. A systematic review and meta-analysis was conducted per PRISMA guidelines. PubMed, Web of Science, and Embase were searched for English-language articles published between January 2000 and November 2024 reporting postoperative complications in glioma resection patients. Pooled proportion were calculated using a random-effects model, and meta-regression assessed the impact of covariates including patient age, gender, publication date, geographical location, and sample size. Seventy-seven studies were included. The pooled proportions for postoperative complications were as follows: venous thromboembolism, 4.92% (95% CI: 1.51-10.05%); deep vein thrombosis, 4.75% (95% CI: 2.86-7.05%); urinary tract infection, 3.77% (95% CI: 0.81-8.47%); hydrocephalus, 2.53% (95% CI: 1.37-3.97%); pulmonary infection, 2.39% (95% CI: 1.15-3.99%); cerebrospinal fluid leak, 2.22% (95% CI: 0.99-3.87%); surgical site infection, 2.21% (95% CI: 1.48-3.07%); meningitis, 1.49% (95% CI: 0.47-2.96%); pulmonary embolism, 1.33% (95% CI: 0.74-2.06%); and sepsis, 1.12% (95% CI: 0.08-3.02%). Significant heterogeneity was observed across studies, with meta-regression revealing that geographical location, publication date, and patient age were significant moderators influencing certain complication rates. This meta-analysis demonstrates that, while systemic and regional complication rates following glioma resection are relatively low, they remain clinically significant. In particular, venous thromboembolism and deep vein thrombosis are notably prevalent. Moreover, significant heterogeneity-shaped by geography, publication date, and patient age-underscores the need for tailored perioperative strategies and further research.

Opioids are a challenging class of drugs due to their dual role. They alleviate pain, but also pose a risk of dependency, or trigger constipation, particularly in cancer patients, who require the more potent painkillers in more advanced stages of the disease, closely linked to pain resulting from general inflammation, bone metastases, and primary or secondary tumour outgrowth-related nerve damage. Clinicians' vigilance considering treatment with opioids is necessary, bearing in mind extensive data accumulated over decades that have reported the contribution of opioids to immunosuppression, tumour progression, or impaired tissue regeneration, either following opioid use during surgical tumour resection and post-surgical pain treatment, or as a result of other diseases like diabetes, where chronic wounds healing constitutes a challenge. During last few years, an increasing trend for seeking relationships between opioids and epithelial-mesenchymal transition (EMT) in cancer research can be observed. Transiently lasting EMT is desirable during wound healing, but in cancer, or vital organ fibrogenesis, EMT appears to be an obstacle to overcome, forcing to adjust treatment strategies that would reduce the risk for worsening of the disease outcome and patient prognosis. The same opioid may demonstrate promoting or inhibitory effect on EMT, dependently on various conditions in particular clinical cases. We have summarized current findings on this issue to uncover some rules that govern opioid-mediated EMT induction or repression; however, many aspects still remain to be elucidated.

Studies from the UK reporting on awake craniotomy (AC) include a heterogenous group of patients which limit the evaluation of the true impact of AC in high-grade glioma (HGG) patients. This study aims to report solely the experience and outcomes of AC for HGG surgery from our centre.

A prospective review of all patients who underwent AC for HGG from 2013 to 2019 were performed. Data on patient characteristics including but not limited to demographics, pre- and post-operative Karnofsky performance status (KPS), tumour location and volume, type of surgery, extent of resection (EOR), tumour histopathology, intra- and post-operative complications, morbidity, mortality, disease recurrence, progression-free survival (PFS) and overall survival (OS) from the time of surgery were collected.

Fifteen patients (6 males; 9 females; 17 surgeries) underwent AC for HGG (median age = 55 years). Two patients underwent repeat surgeries due to disease recurrence. Median pre- and post-operative KPS score was 90 (range:80-100) and 90 (range:60-100), respectively. The EOR ranges from 60 to 100 % with a minimum of 80 % achieved in 81.3 % cases. Post-operative complications include focal seizures (17.6 %), transient aphasia/dysphasia (17.6 %), permanent motor deficit (11.8 %), transient motor deficit (5.9 %) and transient sensory disturbance (5.9 %). There were no surgery-related mortality or post-operative infection. The median PFS and OS were 13 (95%CI 5-78) and 30 (95%CI 21-78) months, respectively.

This is the first study in the UK to solely report outcomes of AC for HGG surgery. Our data demonstrates that AC for HGG in eloquent region is safe, feasible and provides comparable outcomes to those reported in the literature.

Multimodal techniques-assisted resection of glioma under general anesthesia (GA) has been shown to achieve similar clinical outcomes as awake craniotomy (AC) in some studies. In this study, we aim to validate the use of multimodal techniques can achieve the maximal safe resection of high-grade glioma involving language areas (HGILAs) under GA.

HGILAs cases were reviewed and collected between January 2009 and December 2020 in our center. Patients were separated into multimodal group (using neuronavigation, intraoperative MRI combined with direct electrical stimulation [DES] and neuromonitoring [IONM]) and conventional group (neuronavigation alone) and clinical outcomes were compared between groups. Studies of HGILAs were reviewed systematically and the meta-analysis results of previous (GA or AC) studies were compared with our results.

Finally, there were 263 patients in multimodal group and 137 patients in conventional group. Compared to the conventional group, the multimodal group achieved the higher median EOR (100% versus 94.32%, P < 0.001) and rate of gross total resection (GTR) (73.8% versus 36.5%, P < 0.001) and the lower incidence of permanent language deficit (PLD) (9.5% versus 19.7%, P = 0.004). The multimodal group achieved the longer median PFS (16.8 versus 10.3 months, P < 0.001) and OS (23.7 versus 15.7 months, P < 0.001) than the conventional group. The multimodal group achieved a higher rate of GTR than the cohorts in previous multimodal studies under GA and AC (73.8% versus 55.7% [95%CI 32.0-79.3%] versus 53.4% [35.5-71.2%]). The multimodal group had a lower incidence of PLD than the cohorts in previous multimodal studies under GA (9.5% versus 14.0% [5.8-22.1%]) and our incidence of PLD was a little higher than that of previous multimodal studies under AC (9.5% versus 7.5% [3.7-11.2%]). Our multimodal group also achieved a relative longer survival than previous studies.

Surgery assisted by multimodal techniques can achieve maximal safe resection for HGILAs under GA. Further prospective studies are needed to compare GA with AC for HGILAs.

To establish a predictive model to predict the occurrence of language deficit for patients after surgery of glioma involving language areas (GILAs) under general anesthesia (GA).

Patients with GILAs were retrospectively collected in our center between January 2009 and December 2020. Clinical variables (age, sex, aphasia quotient [AQ], seizures and KPS), tumor-related variables (recurrent tumor or not, volume, language cortices invaded or not, shortest distance to language areas [SDLA], supplementary motor area or premotor area [SMA/PMA] involved or not and WHO grade) and intraoperative multimodal techniques (used or not) were analyzed by univariate and multivariate analysis to identify their association with temporary or permanent language deficits (TLD/PLD). The predictive model was established according to the identified significant variables. Receiver operating characteristic (ROC) curve was used to assess the accuracy of the predictive model.

Among 530 patients with GILAs, 498 patients and 441 patients were eligible to assess TLD and PLD respectively. The multimodal group had the higher EOR and rate of GTR than conventional group. The incidence of PLD was 13.4% in multimodal group, which was much lower than that (27.6%, P<0.001) in conventional group. Three factors were associated with TLD, including SDLA (OR=0.85, P<0.001), preoperative AQ (OR=1.04, P<0.001) and multimodal techniques used (OR=0.41, P<0.001). Four factors were associated with PLD, including SDLA (OR=0.83, P=0.001), SMA/PMA involved (OR=3.04, P=0.007), preoperative AQ (OR=1.03, P=0.002) and multimodal techniques used (OR=0.35, P<0.001). The optimal shortest distance thresholds in detecting the occurrence of TLD/PLD were 1.5 and 4mm respectively. The optimal AQ thresholds in detecting the occurrence of TLD/PLD were 52 and 61 respectively. The cutoff values of the predictive probability for TLD/PLD were 23.7% and 16.1%. The area under ROC curve of predictive models for TLD and PLD were 0.70 (95%CI: 0.65-0.75) and 0.72 (95%CI: 0.66-0.79) respectively.

The use of multimodal techniques can reduce the risk of postoperative TLD/PLD after removing GILAs under general anesthesia. The established predictive model based on clinical variables can predict the probability of occurrence of TLD and PLD, and it had a moderate predictive accuracy.