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Access to neuro-oncologic care in Nigeria has grown exponentially since the first reported cases in the mid-1960s. In this systematic review and pooled analysis, we characterize the growth of neurosurgical oncology in Nigeria and build a reference paper to direct efforts to expand this field. We performed an initial literature search of several article databases and gray literature sources. We included and subsequently screened articles published between 1962 and 2021. Several variables were extracted from each study, including the affiliated hospital, the number of patients treated, patient sex, tumor pathology, the types of imaging modalities used for diagnosis, and the interventions used for each individual. Change in these variables was assessed using Chi-squared independence tests and univariate linear regression when appropriate. A total of 147 studies were identified, corresponding to 5,760 patients. Over 4000 cases were reported in the past 2 decades from 21 different Nigerian institutions. The types of tumors reported have increased over time, with increasingly more patients being evaluated via computed tomography (CT) and magnetic resonance imaging (MRI). There is also a prevalent use of radiotherapy, though chemotherapy remains an underreported treatment modality. This study highlights key trends regarding the prevalence and management of neuro-oncologic pathologies within Nigeria. Further studies are needed to continue to learn and guide the future growth of this field in Nigeria. [ABSTRACT FROM AUTHOR]

The high unmet neurosurgical burden in low- and middle-income countries has necessitated multiple global neurosurgical collaborations. We identified these collaborations and their peer-reviewed journal publications and evaluated them using a modified version of the Framework for Assessment of InteRNational Surgical Success (FAIRNeSS). A systematic literature review yielded 265 articles describing neurosurgery-focused collaborations. A subset of 101 papers from 17 collaborations were evaluated with the modified FAIRNeSS criteria. Analysis of trends was performed for both individual articles and collaborations. Most of the articles were general reviews (64), and most focused on clinical research (115). The leading collaboration focus was workforce and infrastructure development (45%). Composite FAIRNeSS scores ranged from 7/34 to 30/34. Average FAIRNeSS scores for individual articles ranged from 0.25 to 26.75, while collaboration-wide FAIRNeSS score averages ranged from 5.25 to 20.04. There was significant variability within each subset of FAIRNeSS indicators (P value <0.001). Short-term goals had higher scores than medium- and long-term goals (P value <0.001). Collaboration composite scores correlated with the number of papers published (R2 = 0.400, P = 0.007) but not with the number of years active (R2 = 0.072, P = 0.3). Finally, the overall agreement between reviewers was 53.5%, and the overall correlation was 38.5%. Global neurosurgery has no established metrics for evaluating collaborations; therefore, we adapted the FAIRNeSS criteria to do so. The criteria may not be well suited for measuring the success and sustainability of global neurosurgery collaborations, creating a need to develop a more applicable alternate set of metrics. [ABSTRACT FROM AUTHOR]

In situ longitudinal (axial) pre-stretch (LPS) plays a fundamental role in the mechanics of the femoropopliteal artery (FPA). It conserves energy during pulsation and prevents buckling of the artery during limb movement. We investigated how LPS is affected by demographics and risk factors, and how these patient characteristics associate with the structural and physiologic features of the FPA. LPS was measured in n = 148 fresh human FPAs (14–80 years old). Mechanical properties were characterized with biaxial extension and histopathological characteristics were quantified with Verhoeff–Van Gieson Staining. Constitutive modeling was used to calculate physiological stresses and stretches which were then analyzed in the context of demographics, risk factors and structural characteristics. Age had the strongest negative effect ( r = −0.812, p < 0.01) on LPS and could alone explain 66% of LPS variability. Male gender, higher body mass index, hypertension, diabetes, coronary artery disease, dyslipidemia and tobacco use had negative effects on LPS, but only the effect of tobacco was not associated with aging. FPAs with less pre-stretch had thicker medial layers, but thinner intramural elastic fibers with less dense and more fragmented external elastic laminae. Elastin degradation was associated with decreased physiological tethering force and longitudinal stress, while circumferential stress remained constant. FPA wall pathology was negatively associated with LPS ( r = −0.553, p < 0.01), but the effect was due primarily to aging. LPS in the FPA may serve as an energy reserve for adaptive remodeling. Reduction of LPS due to degradation and fragmentation of intramural longitudinal elastin during aging can be accelerated in tobacco users. Statement of Significance This work studies in situ longitudinal pre-stretch (LPS) in the human femoropopliteal artery. LPS has a fundamental role in arterial mechanics, but is rather poorly studied due to lack of direct in vivo measurement method. We have investigated LPS in the n = 148 human femoropopliteal arteries in the context of subject demographics and risk factors, and structural and physiologic characteristics of the artery. Our results demonstrate that LPS reduces with age due to degradation and fragmentation of intramural elastin. LPS may serve as an energy reserve for adaptive remodeling, and reduction of LPS can be accelerated in tobacco users. [ABSTRACT FROM AUTHOR]

Modern cerebrovascular bypass surgery uses either extracranial-intracranial (EC-IC) or intracranial-intracranial (IC-IC) approaches. Compared with EC-IC bypasses, IC-IC bypasses allow neurosurgeons to safely address tumors, aneurysms, and other lesions using shorter grafts that are well matched to the size of recipient vessels. Fewer than 100 articles have been published on IC-IC bypasses compared with more than 1000 on EC-IC bypasses. This study examined the increase of interest and innovation in IC-IC bypass. PubMed and Web of Science were searched using keywords specific to IC-IC bypass, yielding 717 articles supplemented with 36 reports from other databases and gray literature. The articles were reviewed, and 98 articles were selected for further evaluation. Final articles were categorized as innovations or retrospective studies. Publication metrics were passed through an analytic program to assess statistical measures of growth. The number of publications describing innovations (n = 52) and retrospective studies (n = 46) in IC-IC surgical techniques increased exponentially (R 2 = 0.983 and R 2 = 0.993, respectively), with both interest and research in the field increasing. The rate of publications in each group also increased. In recent years, increasing numbers of global institutions have researched and published on IC-IC bypasses. As more work is undertaken on IC-IC bypasses, it is critical for knowledge to be shared through research, collaboration, publication, and early teaching within residency training programs. This field has increased exponentially in the past 2 decades and has yet to reach an inflection point, indicating possible additional interest and growth over time. [ABSTRACT FROM AUTHOR]

Spinal pathologies are prevalent in Nigeria, though epidemiological data remains sparse. This systematic review used pooled patient-level data from across the country to generate a standardized epidemiological reference. Four research databases and gray literature sources were searched. Risk of bias assessment was conducted using Risk of Bias in Non-Randomised Studies - of Interventions and Cochrane's risk of bias tool. We descriptively analyzed all article metrics and statistically analyzed relevant data variables via paired t -test and χ2 independence tests (α = 0.05). One hundred twenty-seven articles, comprising a patient cohort of 8425 patients, were analyzed. Most were retrospective cohort studies (46.5%) and case reports/series (31.5%), with an overall moderate-high risk of bias. Most studies were published in the last 20 years. Most patients were male (∼2.5 males per female), with an average age of 43.2 years (±16.4). Clinical diagnoses spanned the breadth of spinal neurosurgery. Approximately 45.0% of patients had complete spinal impairment. Pain (41.7%) was the most reported presenting feature. X-ray (45.1%) was the most common investigation used. Intervertebral disc herniation (18.9%) was the most prevalent imaging finding on MRI. Most patients were managed nonoperatively (57.8%), with a favorable outcome in 27.4% of patients. Posttreatment complications included pressure sores, infection, and motor deficits. This systematic review and pooled analysis provide an epidemiological overview of spinal neurosurgery in Nigeria over the last 60 years and serves as a useful reference to direct future global research in this arena. [ABSTRACT FROM AUTHOR]

Vascular neurosurgery has developed significantly in Nigeria, but its burden and challenges remain unclear. This study systematically reviewed vascular neurosurgical literature from Nigeria. Four research databases and gray literature sources were searched from 1962–2021. ROBINS-I tool was used to assess risk of bias. Descriptive, narrative, and statistical analyses were conducted on all variables. Where appropriate, paired t-tests and Chi-squared independence tests were used (α = 0.05). 56 articles were included and 3203 patients pooled for analysis. Risk of bias was moderate-high. Most articles were published over the last 20 years with retrospective cohort studies and case reports being the most common study designs. The cohort had a relatively even gender split and an average age of 49 years (±22). Cerebrovascular accidents accounted for over 85% of diagnoses, with most etiologies being traumatic. Headache and motor deficit were the most prevalent clinical features. X-ray and carotid angiography were the most commonly reported imaging modalities, closely followed by computed tomography (CT) and CT angiography. The top two radiological diagnoses were ischemic cerebrovascular disease and intracerebral hematoma. Aneurysmal clipping and hematoma evacuation were the most commonly reported treatment modalities. Outcome at last follow-up was favorable in 48%. The mortality rate was 6%. Post-treatment complications included chest infection and rebleeding. This study illustrates the epidemiological burden of neurovascular pathology (based on the available data in published literature) in Nigeria, and raises awareness amongst service providers and researchers of the attendant challenges and epochal trends seen within vascular neurosurgery in Nigeria. [ABSTRACT FROM AUTHOR]

This study aims to provide a comprehensive overview of pediatric neurosurgery in Nigeria, since 1962, by assessing epidemiological data, management strategies, and case outcomes. A systematic bibliometric review of Nigerian neurosurgical literature was reported with the PRISMA guidelines. The Risk of Bias Assessment Tool was applied to all nonrandomized studies, and a descriptive analysis was performed for all variables. We identified 12,295 pediatric patients from 196 published studies. Most publications (72.4%) occurred in the recent 2 decades, of which 40.3% were observational case reports/series. The patients were predominantly male (57.2%) and aged 0–18 years, with the majority (66.1%) belonging to the 0–5 age range. Most patients (63.4%) presented between 1–12 months. The most common presenting feature was altered consciousness (7.7%), with computed tomography (38.8%) being the most frequently utilized diagnostic imaging modality. The diagnoses with the greatest prevalence (60.2%) were congenital abnormalities such as hydrocephalus and neural tube defects. 57.5% of cases received surgical therapy, with ventriculoperitoneal shunt placement being the most noticeable procedure performed (36.4%). Complications were identified in 9.5% of cases, with a 4.5% death rate. The Glasgow Outcome Score (95.7%) was the primary outcome measure utilized, with positive outcomes reported in 59.3% of cases. This review provides significant epidemiological data which emphasizes the country's enormous burden of pediatric neurosurgical cases. The findings can help guide clinical decisions as well as future research and policy development. [ABSTRACT FROM AUTHOR]

Neurotrauma is a significant cause of morbidity and mortality in Nigeria. We conducted this systematic review to generate nationally generalizable reference data for the country. Four research databases and gray literature sources were electronically searched. Risk of bias was assessed using the Risk of Bias in Non-Randomized Studies of Interventions and Cochrane's risk of bias tools. Descriptive analysis, narrative synthesis, and statistical analysis (via paired t-tests and χ2 independence tests) were performed on relevant article metrics (α = 0.05). We identified a cohort of 45,763 patients from 254 articles. The overall risk of bias was moderate to high. Most articles employed retrospective cohort study designs (37.4%) and were published during the last 2 decades (81.89%). The cohort's average age was 32.5 years (standard deviation, 20.2) with a gender split of ∼3 males per female. Almost 90% of subjects were diagnosed with traumatic brain injury, with road traffic accidents (68.6%) being the greatest cause. Altered consciousness (48.4%) was the most commonly reported clinical feature. Computed tomography (53.5%) was the most commonly used imaging modality, with skull (25.7%) and vertebral fracture (14.1%) being the most common radiological findings for traumatic brain injury and traumatic spinal injury, respectively. Two-thirds of patients were treated nonoperatively. Outcomes were favorable in 63.7% of traumatic brain injury patients, but in only 20.9% of traumatic spinal injury patients. Pressure sores, infection, and motor deficits were the most commonly reported complications in the latter. This systematic review and pooled analysis demonstrate the significant burden of neurotrauma across Nigeria. [ABSTRACT FROM AUTHOR]

This study investigates the scope, trends, and challenges of neurosurgical research in Nigeria since inception of the specialty in 1962. A bibliometric review of the neurosurgical literature from Nigeria was performed. Variables extracted included year and journal of publication, article topic, article type, research type, study design, article focus area, and limitations. Descriptive and quantitative analyses were performed for all variables. Trends of research publications were described in three periods: pioneering (1962–1981), recession (1982–2001), and resurgent (2002–2021). Of the 1023 included articles, 10.0% were published in the pioneering period, 9.2% in the recession period, and 80.8% in the resurgent period. Papers were predominantly published in World Neurosurgery (4.5%) and Nigerian Journal of Clinical Practice (4.0%). A total of 79.9% of the 4618 authors were from Nigerian institutions; 86.3% of the articles covered clinical research and were mainly focused on service delivery and epidemiology (89.9%). The most prominent topics were traumatic brain injury (25.8%) and central nervous system malignancy (21.4%). Only 4.4% of the publications received funding, mostly from agencies in the United States (31.7%). Barriers to neurosurgical research included lack of clinical databases (18.0%), increasing burden of disease (12.5%), and diagnostic challenges (12.4%). Neurosurgical research in Nigeria continues to grow due to increased training, workforce, and infrastructural improvements. Addressing the major challenges through establishment of research databases, development of evidence-based management guidelines, and increasing research training, funding and opportunities can increase research capacity in Nigeria. [ABSTRACT FROM AUTHOR]

Here, we evaluate the evolution and growth of global neurosurgery publications over time, further focusing on the contributions and impact of authors in low- and middle-income countries (LMICs). In this systematic bibliometric analysis, we conducted a two-stage blinded screening process of global neurosurgery publications from 5 databases from inception through July 2021. Articles involving multi-national/multi-institutional research collaborations, detailing any area of global neurosurgery collaboration, or influencing global neurosurgery practice were included. Statistical hypothesis testing was conducted to analyze trends and hypotheses of LMIC authorship contributions. The number of global neurosurgery publications has soared in the last decade. Overall, authors from HIC countries were most commonly from the US (41.1%), Canada (4.0%), and the UK (3.9%), while authors from LMIC countries were most commonly from Uganda (4.2%), Tanzania (2.6%), Cameroon (1.8%), and India (1.8%). Over a quarter (28%) of publications had no LMIC authors, while only 11% had 3 or more LMIC authors. The proportion of LMIC authors (LMIC-R) was not correlated with the citation rate of individual articles or with the year of publication, and a positive trend emerged when the LMIC-R of top-publishing LMICs was individually examined and compared to the year of publication. Despite recent growth, the number of global neurosurgery publications arising from LMICs pales in comparison to those from HICs. Collaborative efforts between certain HICs and LMICs have likely contributed to the observed increase in LMIC author independence over time. [ABSTRACT FROM AUTHOR]

Traumatic brain injury (TBI) disproportionately affects low- and middle-income countries (LMICs). In these settings, accurate patient prognostication is both difficult and essential for high-quality patient care. With the ultimate goal of enhancing TBI triage in LMICs, we aim to develop the first deep learning model to predict outcomes after TBI and compare its performance with that of less complex algorithms. TBI patients' data were prospectively collected in Kampala, Uganda, from 2016 to 2020. To predict good versus poor outcome at hospital discharge, we created deep neural network, shallow neural network, and elastic-net regularized logistic regression models. Predictors included 13 easily acquirable clinical variables. We assessed model performance with 5-fold cross-validation to calculate areas under both the receiver operating characteristic curve and precision-recall curve (AUPRC), in addition to standardized partial AUPRC to focus on comparisons at clinically relevant operating points. We included 2164 patients for model training, of which 12% had poor outcomes. The deep neural network performed best as measured by the area under the receiver operating characteristic curve (0.941) and standardized partial AUPRC in region maximizing recall (0.291), whereas the shallow neural network was best by the area under the precision-recall curve (0.770). In several other comparisons, the elastic-net regularized logistic regression was noninferior to the neural networks. We present the first use of deep learning for TBI prognostication, with an emphasis on LMICs, where there is great need for decision support to allocate limited resources. Optimal algorithm selection depends on the specific clinical setting; deep learning is not a panacea, though it may have a role in these efforts. [ABSTRACT FROM AUTHOR]