Revealing trends in academic publishing on immersive journalism through a dataset analysis of metaverse and extended technologies from 2017 to 2022.

This article presents the data obtained from a Systematic Literature Review (SLR) on the use of metaverse and extended technologies for immersive journalism [1]. Boolean operators, both in English and Spanish, were used to retrieve scientific literature using Publish or Perish 8 software on Scopus, Web of Science and Google Scholar between 2017 and 2022. After finding all the scientific literature, a methodological process was carried out using selection criteria and following the PRISMA model to obtain a total sample of 61 scientific articles. The DESLOCIS framework was used for the evaluation and quantitative and qualitative analysis of the retrieved data. The first dataset [2] contains the metadata of the retrieved publications according to the phases of the PRISMA statement. The second dataset [3] contains the characteristics of these publications according to the DESLOCIS framework. The data offer the possibility to develop new longitudinal studies and meta-analyzes in the field of immersive journalism.

Incorporating gendered analysis and flexibility in heavy work investment studies: a systematic literature review.

Introduction: Significant impacts of heavy work investment on employee well-being and organizational performance have prompted its increasing importance as a research topic. The findings about good or evil of these repercussions are nonetheless inconclusive. The intersection of Heavy Work Investment construct with gender has not been explicitly addressed by previous literature review and research. Besides, the relevance of flexibility for women, as one of the key factors for successful work-family balance management, still remains to be analyzed. Methods: A literature review on Heavy Work Investment was conducted using the SPAR-4-SLR protocol, wherein 83 articles were selected from a pool of 208 previously identified works. Bibliometric and content analysis techniques were employed, including co-word analysis, to evaluate research production, impact, and trends in the gender perspective within Heavy Work Investment. Results: As a result, a strategic diagram illustrates thematic topics, providing a clear understanding of the field's structure and evolution. Six thematic groups were identified, around work-family conflict as the central theme. Discussion: The explicit consideration of a gender perspective in literature involves nuanced differences regarding the conclusions of studies with a broader focus. First, the emerging prominence of studies on China and Japan becomes clear with gender as the specific focus of the review, aiming to clarify the experiences women face in more traditional societies with a more decisive division of roles. Second, there is a shift in interest regarding the analysis of Job Demands and Job Resources. Despite the apparent decline in interest in the former, the focus in gender literature clearly shifts toward the side of Job Resources, showing potential for the future. It could be understood that in a context of talent war and employee retention efforts, priority is given to better understanding of facilitating individual and organizational factors for work-life balance, especially for women. Future research areas are identified, including gender differences in organizational support and the impact of flexible work on the work-life balance, providing valuable insights for academia, practitioners, and organizations. The need for more comprehensive cross-cultural and gender research is also made clear.

Urine output is an early and strong predictor of acute kidney injury and associated mortality: a systematic literature review of 50 clinical studies.

BACKGROUND: Although the present diagnosis of acute kidney injury (AKI) involves measurement of acute increases in serum creatinine (SC) and reduced urine output (UO), measurement of UO is underutilized for diagnosis of AKI in clinical practice. The purpose of this investigation was to conduct a systematic literature review of published studies that evaluate both UO and SC in the detection of AKI to better understand incidence, healthcare resource use, and mortality in relation to these diagnostic measures and how these outcomes may vary by population subtype. METHODS: The systematic literature review was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Data were extracted from comparative studies focused on the diagnostic accuracy of UO and SC, relevant clinical outcomes, and resource usage. Quality and validity were assessed using the National Institute for Health and Care Excellence (NICE) single technology appraisal quality checklist for randomized controlled trials and the Newcastle-Ottawa Quality Assessment Scale for observational studies. RESULTS: A total of 1729 publications were screened, with 50 studies eligible for inclusion. A majority of studies (76%) used the Kidney Disease: Improving Global Outcomes (KDIGO) criteria to classify AKI and focused on the comparison of UO alone versus SC alone, while few studies analyzed a diagnosis of AKI based on the presence of both UO and SC, or the presence of at least one of UO or SC indicators. Of the included studies, 33% analyzed patients treated for cardiovascular diseases and 30% analyzed patients treated in a general intensive care unit. The use of UO criteria was more often associated with increased incidence of AKI (36%), than was the application of SC criteria (21%), which was consistent across the subgroup analyses performed. Furthermore, the use of UO criteria was associated with an earlier diagnosis of AKI (2.4-46.0 h). Both diagnostic modalities accurately predicted risk of AKI-related mortality. CONCLUSIONS: Evidence suggests that the inclusion of UO criteria provides substantial diagnostic and prognostic value to the detection of AKI.

Blockchain governance and trust: A multi-sector thematic systematic review and exploration of future research directions.

This paper aims to critically examine the scholarly work conducted in blockchain (BC) governance. Without venturing into the wide range of governance paradigms, this research considers governance structures based on trust as a foundation for BC governance. A thematic systematic literature review is conducted to understand the literature on this topic, employing the SALSA (Search, Appraisal, Synthesis and Analysis) technique. An examination of 155 papers shows that using BC technology (BCT) replaces the cognitive attribution of trust in the material and human-independent code. It is also found that further research anchored to the 'trust' concept is required in building BC governance structures. To provide the direction in which the literature is travelling, future research questions on trust and governance are documented. In general, the literature review suggests that BC has the potential to revolutionize the way in which businesses operate. By improving transparency, efficiency, and security, BC can help businesses to reduce costs, improve customer satisfaction, and make better decisions. This research can help policymakers, industrialists, and researchers to identify where BC governance is being used and which aspects of governance are to be focused on. This paper is a general review of literature and evidence on contemporary developmental issues.

Müllerian adenosarcoma with sarcomatous overgrowth and heterologous elements: A case report and literature review.

Uterine mullerian adenosarcoma (MA) is a rare biphasic tumour that accounts for less than 0.5% of uterine neoplasms. The age range of presentation is wide, with the median age in the 5th decade of life. It usually has a good prognosis; however, it worsens when it presents with sarcomatous overgrowth, heterologous elements or infiltrates the myometrium. We report the case of a 63-year-old woman presenting with abnormal vaginal bleeding and a sensation of solid material coming out of the cervical canal who was diagnosed with mullerian adenosarcoma with sarcomatous overgrowth (MASO) and presence of heterologous elements after performing a mass biopsy and subsequent hysterectomy. We reviewed the literature, focusing especially on the differential diagnoses to be evaluated, as well as the differences in prognosis and treatment according to whether or not they present histologic features of poor prognosis.

Automation of systematic reviews of biomedical literature: a scoping review of studies indexed in PubMed.

BACKGROUND: The demand for high-quality systematic literature reviews (SRs) for evidence-based medical decision-making is growing. SRs are costly and require the scarce resource of highly skilled reviewers. Automation technology has been proposed to save workload and expedite the SR workflow. We aimed to provide a comprehensive overview of SR automation studies indexed in PubMed, focusing on the applicability of these technologies in real world practice. METHODS: In November 2022, we extracted, combined, and ran an integrated PubMed search for SRs on SR automation. Full-text English peer-reviewed articles were included if they reported studies on SR automation methods (SSAM), or automated SRs (ASR). Bibliographic analyses and knowledge-discovery studies were excluded. Record screening was performed by single reviewers, and the selection of full text papers was performed in duplicate. We summarized the publication details, automated review stages, automation goals, applied tools, data sources, methods, results, and Google Scholar citations of SR automation studies. RESULTS: From 5321 records screened by title and abstract, we included 123 full text articles, of which 108 were SSAM and 15 ASR. Automation was applied for search (19/123, 15.4%), record screening (89/123, 72.4%), full-text selection (6/123, 4.9%), data extraction (13/123, 10.6%), risk of bias assessment (9/123, 7.3%), evidence synthesis (2/123, 1.6%), assessment of evidence quality (2/123, 1.6%), and reporting (2/123, 1.6%). Multiple SR stages were automated by 11 (8.9%) studies. The performance of automated record screening varied largely across SR topics. In published ASR, we found examples of automated search, record screening, full-text selection, and data extraction. In some ASRs, automation fully complemented manual reviews to increase sensitivity rather than to save workload. Reporting of automation details was often incomplete in ASRs. CONCLUSIONS: Automation techniques are being developed for all SR stages, but with limited real-world adoption. Most SR automation tools target single SR stages, with modest time savings for the entire SR process and varying sensitivity and specificity across studies. Therefore, the real-world benefits of SR automation remain uncertain. Standardizing the terminology, reporting, and metrics of study reports could enhance the adoption of SR automation techniques in real-world practice.

Analysis of three primary prostatic sarcoma cases and literature review.

OBJECTIVE: The objective of this study is to evaluate the clinical presentations, diagnostic approaches, and treatment modalities for primary prostate sarcoma postradical prostatectomy, aiming to enhance its diagnosis and management. METHODS: We retrospectively reviewed the clinical records of three male patients diagnosed with primary prostate sarcoma at Beijing Chaoyang Hospital, affiliated with Capital Medical University, from February 2014 to February 2024. All patients underwent transrectal prostate biopsies, which informed the decision to proceed with laparoscopic radical prostatectomies. After surgery, one patient received a combination of epirubicin and ifosfamide as immunotherapy, along with external beam radiotherapy. After comprehensive discussions regarding potential benefits and risks, the remaining two patients decided against undergoing radiotherapy and chemotherapy. RESULTS: Based on the pathological examination results, two patients were diagnosed with stromal sarcoma and one with spindle cell sarcoma, all classified as high-grade sarcomas. Immunohistochemical analysis showed that all three cases were positive for VIMENTIN, but other results did not show significant specificity. During the follow-up period, one patient died within 12 months, and two patients were lost to follow-up after 6 months. However, there were no evident signs of recurrence observed during the follow-up period. CONCLUSIONS: Primary prostate sarcoma is extremely rare and typically has a poor prognosis once diagnosed. Early diagnosis should be based on pathological and immunohistochemical testing results, followed by prompt surgical treatment and adjuvant radiotherapy and chemotherapy. Despite these measures, recurrence is common, underscoring the need for a detailed and appropriate treatment plan and systematic therapy for affected patients.

Challenges of consolidating evidence collected during a pandemic and lessons for the future.

OBJECTIVE: To illustrate the challenges encountered when gathering rapidly synthesized evidence in response to the coronavirus disease 2019 (COVID-19) pandemic. METHODS: In this article, we describe the challenges encountered when we performed a systematic literature review (SLR) of randomized controlled trials (RCTs) on the efficacy and safety of treatments for severe COVID-19. The methods of the SLR are described in full, to show the context of our objectives. Then we use the results of the SLR to demonstrate the problems of producing synthesized evidence in this setting. RESULTS: Various challenges were identified during this SLR. These were primarily a result of heterogeneity in the study methodology of eligible studies. Definitions of the patient populations and outcome measurements were highly variable and the majority of studies demonstrated a high risk of bias, preventing quantitative synthesis of the collated evidence. CONCLUSION: Consolidating evidence from RCTs evaluating COVID-19 interventions was problematic. Guidance is needed for scenarios with high rapid output in primary research.

Primary mantle-cell lymphoma of small intestine presenting with intussusceptions: A case report and review of the literature.

INTRODUCTION AND IMPORTANCE: Mantle cell lymphoma is a rare type of non-Hodgkin's lymphoma which accounts for 5 % of all cases. Patients present with an advanced form of the disease. We present here a case of ileocolic intussusception secondary to mantle cell lymphoma which was revealed by abdominal pain and vomiting that was treated by surgical resection followed by chemotherapy. CASE PRESENTATION: This report illustrates the case of a 34-year-old male who presented with abdominal pain and vomiting. Imageology demonstrated an ileocolic intussusception which was treated with hemicolectomy followed by chemotherapy. Histopathology confirmed the diagnosis of Mantle cell lymphoma. CLINICAL DISCUSSION: Mantel cell lymphoma is a rare type of B-cell cancer. Patients are generally diagnosed with an advanced stage of the disease. Ileocolic intussusception is an uncommon presentation. Surgery is the pillar of the treatment. Resection depends on the extent and location of the lesion. Postoperative chemotherapy is crucial and it increases survival rate. CONCLUSION: Mantle cell lymphoma is a rare subgroup of B-cell lymphomas. Ileocolic intussusception is a complicated form of the disease. Surgery combined with chemotherapy is the mainstay of the treatment. Diagnosis is confirmed by histological analysis of the surgical specimen.

Ambulance service recognition of health inequalities and activities for reduction: An evidence and gap map of the published literature.

Background: Emergency medical services (EMS) are often patients' first point of contact for urgent and emergency care needs. Patients are triaged over the phone and may receive an ambulance response, with potential conveyance to the hospital. A recent scoping review suggested disparities in EMS patient care in the United States. However, it is unknown how health inequalities impact EMS care in other developed countries and how inequalities are being addressed. Objectives: This rapid evidence map of published literature aims to map known health inequalities in EMS patients and describe interventions reducing health inequalities in EMS patient care. Methods: The search strategy consisted of EMS synonyms and health inequality synonyms. The MEDLINE/PubMed database was searched from 1 January 2010 to 26 July 2022. Studies were included if they described empirical research exploring health inequalities within ambulance service patient care. Studies were mapped on to the EMS care interventions framework and Core20PLUS5 framework. Studies evaluating interventions were synthesised using the United Kingdom Allied Health Professions Public Health Strategic Framework. Results: The search strategy yielded 771 articles, excluding duplicates, with two more studies added from hand searches. One hundred studies met the inclusion criteria after full-text review. Inequalities in EMS patient care were predominantly situated in assessment, treatment and conveyance, although triage and response performance were also represented. Studies mostly explored EMS health inequalities within ethnic minority populations, populations with protected characteristics and the core issue of social deprivation. Studies evaluating interventions reducing health inequalities (n = 5) were from outside the United Kingdom and focused on older patients, ethnic minorities and those with limited English proficiency. Interventions included community paramedics, awareness campaigns, dedicated language lines and changes to EMS protocols. Conclusions: Further UK-based research exploring health inequalities of EMS patients would support ambulance service policy and intervention development to reduce health inequality in urgent and emergency care delivery.

Learning from an experience, challenges and approaches in the workplace during COVID-19 pandemic: a content analysis of international documents.

BACKGROUND: This study aims to investigate international measures for pandemic control in the workplace based on guidelines from international organizations to learn from their experiences. METHODS: We conducted a qualitative study using content analysis. The search method involved reviewing published guidelines on preventing and responding to the COVID-19 pandemic in workplaces. After the screening process, ten guidelines were included in the content analysis. During the analysis, 200 meaning codes, 49 subcategories, and eleven categories were identified. Trustworthiness criteria were utilized to ensure the accuracy and strength of the findings. RESULTS: Eleven categories of international content during the COVID-19 pandemic were legal requirements and duties of employees and employers, structural and program changes, risk assessment, risk communication, information and training, internal and external consultation and cooperation, provision of facilities and tools for workplace hygiene, special conditions, special groups, closing and reopening workplaces, reducing contact and exposure and mental health. CONCLUSIONS: Protecting employees during a pandemic requires a multifaceted approach and strong advocacy. The operational plan for pandemic control should be developed based on the level of risk, with support tailored to employees' conditions and needs. Cooperation among international organizations is essential to develop a standardized plan and issue comprehensive guidelines in response to health emergencies with a global perspective and local implementation, drawing from the lessons learned during the COVID-19 pandemic.

M-Learning in education during COVID-19: A systematic review of sentiment, challenges, and opportunities.

The flexibility and relatively low cost of mobile devices make educational systems more accessible for learners and educators worldwide. When incorporated with the internet, it creates a better learning environment than the conventional classroom lecture. Many studies have been done to shed insight into the existing state of mobile learning (M-learning) studies. However, further research is needed into this topic at a specific time, i.e., during the COVID-19 pandemic. This study aims to retrieve, review, investigate, and critically assess the existing literature on M-learning that was conducted during the COVID-19 concerning our research theme. This study considered publications from four databases, narrowed our initial search results of 4056 articles down to 83 that are relevant to our research questions, and did an in-depth analysis based on the systematic review protocol. The findings explored the major focusing areas of M-learning applications, the regional sentiment of M-learning users, the determinants and perceptions of M-learning, as well as the benefits, challenges, and opportunities associated with M-learning. This systematic literature review (SLR) was performed to apportion a contribution toward an improved understanding of the basic principles that underpin the rethinking of M-learning applications for policymakers, online course designers, and blended learning facilitators.

Decision-making for community resilience: A review of decision support systems and their applications.

Decision Support Systems (DSS) have emerged as important tools for enhancing community resilience due to their ability to provide timely and efficient solutions to disaster-related problems while reflecting the perspectives of different stakeholders and utilizing multiple data sources. This paper provides a comprehensive summary of DSS applications to community resilience, emphasizing how the different modeling techniques are used in different disaster phases. We found that optimization techniques are the most frequently used methods for building DSS. Furthermore, we found that DSS tend to focus more on the preparedness and response phases of disaster management, rather than the recovery and mitigation phases. Moreover, the study highlights the main challenges in developing and implementing DSS for resilience, such as data availability, the uncertainty of the disaster context, and the need for cross-disciplinary collaboration. Based on the reviewed papers, we provide some guidelines to practitioners to select the most suitable decision-support tools for the needs of their community. The study aims to help decision-makers and researchers build effective decision support systems for enhancing community resilience, considering the current challenges.

Characterizing drought prediction with deep learning: A literature review.

Drought prediction is a complex phenomenon that impacts human activities and the environment. For this reason, predicting its behavior is crucial to mitigating such effects. Deep learning techniques are emerging as a powerful tool for this task. The main goal of this work is to review the state-of-the-art for characterizing the deep learning techniques used in the drought prediction task. The results suggest that the most widely used climate indexes were the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI). Regarding the multispectral index, the Normalized Difference Vegetation Index (NDVI) is the indicator most utilized. On the other hand, countries with a higher production of scientific knowledge in this area are located in Asia and Oceania; meanwhile, America and Africa are the regions with few publications. Concerning deep learning methods, the Long-Short Term Memory network (LSTM) is the algorithm most implemented for this task, either implemented canonically or together with other deep learning techniques (hybrid methods). In conclusion, this review reveals a need for more scientific knowledge about drought prediction using multispectral indices and deep learning techniques in America and Africa; therefore, it is an opportunity to characterize the phenomenon in developing countries.

Predicting Treatment Effects from Surrogate Endpoints in Historical Trials in First-Line Metastatic Castration-Resistant Prostate Cancer.

Surrogate endpoints are becoming increasingly important in health technology assessment, where decisions are based on complex cost-effectiveness models (CEMs) that require numerous input parameters. Daniels and Hughes Surrogate Model was used to predict missing effect estimates in randomized controlled trials (RCTs) evaluating first-line treatments in metastatic castration-resistant prostate cancer (mCRPC) patients. Network meta-analyses (NMAs) were conducted to assess the comparative efficacy of these treatments. Databases were searched (inception to October 2022) using Ovid®. Several grey literature searches were also conducted (PROSPERO: CRD42021283512). Available trial data for radiographic progression-free survival (rPFS) and overall survival (OS) were used to predict the unreported effect of rPFS or OS for relevant comparator treatments. Bayesian NMAs were conducted using observed and predicted treatment effects. Effect estimates and 95% credible intervals were calculated for each comparison. Mean ranks and the probability of being best (p-best) were obtained. Twenty-five RCTs met the eligibility criteria and of these, 8 reported jointly rPFS and OS; while rPFS was predicted for 12 RCTs and 10 comparators, and OS was predicted for 5 RCTs and 6 comparators. A nonstandard dose of docetaxel (docetaxel 50 mg/m2 every 2 weeks) had the highest probability of being the most effective for rPFS (p-best: 59%) and OS (p-best: 48%), followed by talazoparib plus enzalutamide (13% and 19%, respectively). Advanced surrogate modelling techniques allowed obtaining relevant parameter and indirect estimates of previously unavailable data and may be used to populate future CEMs requiring rPFS and OS in first-line mCRPC.

Niraparib Maintenance Therapy for Brain Metastasis in Ovarian Endometrioid Adenocarcinoma With Peritoneal Carcinomatosis: A Comprehensive Case Study and Literature Review.

Brain metastasis is a rare complication of ovarian cancer, always found at the advanced stage. Even though different multimodal approaches are available, including surgical intervention and radiotherapy, there are no official guidelines for handling this serious complication. Poly(adenosine diphosphate-ribose) polymerase (PARP) inhibitors are a group of medications initially used for maintenance therapy in platinum-sensitive recurrent ovarian cancer. Niraparib has shown some efficacy in patients with brain metastasis due to its unique properties of penetrating the blood-brain barrier. Here, we present the case of a 51-year-old patient with advanced ovarian cancer with no germline breast cancer susceptibility gene (BRCA) mutations. Despite undergoing surgery and multiple rounds of chemotherapy, the patient's condition worsened, culminating in brain metastasis. Given her neurological issues, radiotherapy was not an option, prompting the initiation of a 300 mg dose of niraparib. To date, only sporadic case reports in the literature have described patients with ovarian cancer treated with niraparib and complicated by brain metastasis. Our case is unique because it is the first case of a patient with the endometrioid type of ovarian cancer.

Immune Checkpoint Inhibitor-Induced Guillain Barre Syndrome: A Single-Institution Case Report and Narrative Review.

Guillain-Barré syndrome (GBS) resulting from the use of immune checkpoint inhibitors (ICIs) is relatively uncommon but has been reported. Herein, we discuss a case of a 67-year-old patient who received neoadjuvant ICI for treatment of non-small cell lung cancer and then presented with lower extremity weakness and areflexia, progressing to respiratory muscle and upper extremity weakness. Given the increasing use of ICI in cancer management, awareness of neurological autoimmune side effects is essential. ICI-mediated GBS can be severe and fatal if not diagnosed promptly. We discuss a case of ICI-induced GBS and review literature on current management approaches.

Current evidence supporting associations of DNA methylation measurements with survivorship burdens in cancer survivors: A scoping review.

INTRODUCTION: Identifying reliable biomarkers that reflect cancer survivorship symptoms remains a challenge for researchers. DNA methylation (DNAm) measurements reflecting epigenetic changes caused by anti-cancer therapy may provide needed insights. Given lack of consensus describing utilization of DNAm data to predict survivorship issues, a review evaluating the current landscape is warranted. OBJECTIVE: Provide an overview of current studies examining associations of DNAm with survivorship burdens in cancer survivors. METHODS: A literature review was conducted including studies if they focused on cohorts of cancer survivors, utilized peripheral blood cell DNAm data, and evaluated the associations of DNAm and survivorship issues. RESULTS: A total of 22 studies were identified, with majority focused on breast (n = 7) or childhood cancer (n = 9) survivors, and half studies included less than 100 patients (n = 11). Survivorship issues evaluated included those related to neurocognition (n = 5), psychiatric health (n = 3), general wellness (n = 9), chronic conditions (n = 5), and treatment specific toxicities (n = 4). Studies evaluated epigenetic age metrics (n = 10) and DNAm levels at individual CpG sites or regions (n = 12) for their associations with survivorship issues in cancer survivors along with relevant confounding factors. Significant associations of measured DNAm in the peripheral blood samples of cancer survivors and survivorship issues were identified. DISCUSSION/CONCLUSION: Studies utilizing epigenetic age metrics and differential methylation analysis demonstrated significant associations of DNAm measurements with survivorship burdens. Associations were observed encompassing diverse survivorship outcomes and timeframes relative to anti-cancer therapy initiation. These findings underscore the potential of these measurements as useful biomarkers in survivorship care and research.

Comparison of accuracy, revision, and perioperative outcomes in robot-assisted spine surgeries: systematic review and meta-analysis.

OBJECTIVE: Pedicle screw placement guidance is critical in spinal fusions, and spinal surgery robots aim to improve accuracy and reduce complications. Current literature has yet to compare the relative merits of available robotic systems. In this review, the authors aimed to 1) assess the current state of spinal robotics literature; 2) conduct a meta-analysis of robotic performance based on accuracy, speed, and safety; and 3) offer recommendations for robotic system selection. METHODS: Following PRISMA guidelines, the authors conducted a systematic literature review across PubMed, Embase, Cochrane Library, Web of Science, and Scopus as of April 28, 2022, for studies on approved robots for placing lumbar pedicle screws. Three reviewers screened and extracted data relating to the study characteristics, accuracy rate, intraoperative revisions, and reoperations. Secondary performance metrics included operative time, blood loss, and radiation exposure. The authors statistically compared the performance of the robots using a random-effects model to account for variation within and between the studies. Each robot was also compared with performance benchmarks of traditional techniques including freehand, fluoroscopic, and CT-navigated insertion. Finally, we performed a Duval and Tweedie trim-and-fill test to assess for the presence of publication bias. RESULTS: The authors identified 46 studies, describing 4670 patients and 25,054 screws, that evaluated 4 different robotic systems: Mazor X, ROSA, ExcelsiusGPS, and Cirq. The weighted accuracy rates of Gertzbein-Robbins classification grade A or B screws were as follows: ExcelsiusGPS, 98.0%; ROSA, 98.0%; Mazor, 98.2%; and Cirq, 94.2%. No robot was significantly more accurate than the others. However, the accuracy of the ExcelsiusGPS was significantly higher than that of traditional methods, and the accuracies of the Mazor and ROSA were significantly higher than that of fluoroscopy. The intraoperative revision rates were Cirq, 0.55%; ROSA, 0.91%; Mazor, 0.98%; and ExcelsiusGPS, 1.08%. The reoperation rates were Cirq, 0.28%; ExcelsiusGPS, 0.32%; and Mazor, 0.76% (no reoperations were reported for ROSA). Operative times were similar for all robots. Both the ExcelsiusGPS and Mazor were associated with significantly less blood loss than the ROSA. The Cirq had the lowest radiation exposure. Robots tended to be more accurate and generally their use was associated with fewer reoperations and less blood loss than freehand, fluoroscopic, or CT-navigated techniques. CONCLUSIONS: Robotic platforms perform comparably based on key metrics, with high accuracy rates and low intraoperative revision and reoperation rates. The spinal robotics publication rate will continue to accelerate, and choosing a robot will depend on the context of the practice.