Treatment-induced ripple effect: a systematic review exploring the abscopal phenomenon in Glioblastoma multiforme.

Purpose: This systematic review aimed to collate and synthesize the available literature on the abscopal effect in Glioblastoma multiforme (GBM) neoplasms, focusing on the reported biochemical mechanisms driving the abscopal effect.

Methods: A systematic search was conducted in PubMed, Cochrane Database of Systematic Reviews, and Epistemonikos from inception to May 1, 2023. Studies exploring the abscopal effect in GBM were included.

Postoperative dysgeusia following microsurgical resection for acoustic neuroma: a systematic review and meta-analysis.

Objective: To determine the collated rate of postoperative dysgeusia after microsurgical intervention in acoustic neuroma patients.

Methods: The systematic review with meta-analysis was undertaken following PRISMA guidelines. A thorough search of PubMed/Medline, the Cochrane Database of Systematic Reviews, and Epistemonikos was undertaken for studies published up until May 16, 2024 reporting postoperative taste disturbance rates after microsurgical intervention for acoustic neuroma.

Predictors of Clavien-Dindo Grade III-IV or Grade V Complications after Metastatic Spinal Tumor Surgery: An Analysis of Sociodemographic, Socioeconomic, Clinical, Oncologic, and Operative Parameters.

The rate of major complications and 30-day mortality after surgery for metastatic spinal tumors is relatively high. While most studies have focused on baseline comorbid conditions and operative parameters as risk factors, there is limited data on the influence of other parameters such as sociodemographic or socioeconomic data on outcomes. We retrospectively analyzed data from 165 patients who underwent surgery for spinal metastases between 2012-2023.

Adopting machine learning to predict ICU delirium.

With neuropsychiatric complications recognized among COVID-19 patients translating into significant morbidity, we explore the current state-of-the-art for auto Machine Learning (ML) to predict ICU delirium among severe COVID-19 patients which has been identified as a significant predictor of cognitive decline among such patients. Such optimally developed ML models can provide instantaneous, accurate and precise risk-stratification predictions, allowing neurology clinicians to take an informed decision regarding the advanced neuropsychiatric management for severe COVID-19 patients. Such incorporation of ML into the relevant management protocols has the potential to significantly curtail the morbidity and mortality associated with the once-in-a-century global public health catastrophe.

The Association between Problematic Instagram Use, Psychological Distress, and Well-Being: A Systematic Review and Meta-Analysis.

Recent studies have indicated the potential detrimental psychological effects of Instagram use (IU) and problematic Instagram use (PIU). PIU and IU have been associated with depression, anxiety, and negative general well-being. This study aimed to investigate that correlation through a systematic review and meta-analysis.

Risk of adjacent level fracture after percutaneous vertebroplasty and kyphoplasty vs natural history for the management of osteoporotic vertebral compression fractures: a network meta-analysis of randomized controlled trials.

Objectives: Percutaneous vertebroplasty and kyphoplasty are common interventions for osteoporotic vertebral compression fractures. However, there is concern about an increased risk of adjacent-level fractures after treatment. This study aimed to compare the risk of adjacent-level fractures after vertebroplasty and kyphoplasty with the natural history after osteoporotic vertebral compression fractures.

Frailty indices in patients undergoing surgical resection of brain metastases: a systematic review.

Brain metastases are a relatively common occurrence in patients with primary malignancies, with an incidence ranging from 9 to 17%. Their prevalence has increased due to treatment advancements that have led to improved survival in cancer patients. Frailty has demonstrated the ability to outperform greater patient age in surgical decision-making by predicting postoperative adverse events that include mortality, extended length of hospital stay, non-routine discharge disposition, and postoperative complications.

Cerebellopontine angle meningioma originating from choroid plexus of the foramen of Luschka: An extremely rare entity and overlook of literature.

Introduction And Importance: Meningiomas without dural attachments are quite a novelty, with such meningiomas in the posterior fossa being even more far and few between. The authors describe an extremely rare cerebellopontine angle (CPA) meningioma lacking a dural attachment arising from the choroid plexus of the foramen of Luschka (CPFOL).

Case Presentation: A 35-year-old male presented to our center complaining of a generalized and progressive headache for 10 months.

Impelling Factors for Contracting COVID-19 Among Surgical Professionals During the Pandemic: A Multinational Cohort Study.

Background: Medical workers, including surgical professionals working in coronavirus disease 2019 (COVID-19) treating hospitals, were under enormous stress during the pandemic. This global study investigated factors endowing COVID-19 amongst surgical professionals and students.

Methods: This global cross-sectional survey was made live on February 18, 2021 and closed for analysis on March 13, 2021.

Clinical efficacy of Azithromycin for COVID-19 management: A systematic meta-analysis of meta-analyses.

Background: Azithromycin has been adopted as a component of the COVID-19 management protocol throughout the global healthcare settings but with a questionable if not downright unsubstantiated evidence base.

Objectives: In order to amalgamate and critically appraise the conflicting evidence around the clinical efficacy of Azithromycin (AZO) vis a vis COVID-19 management outcomes, a meta-analysis of meta-analyses was carried out to establish an evidence-based holistic status of AZO vis a vis its efficacy as a component-in-use of the COVID-19 management protocol.

Methods: A comprehensive systematic search was carried out through PubMed/Medline, Cochrane and Epistemonikos with a subsequent appraisal of abstracts and full-texts, as required.

Algorithms to anonymize structured medical and healthcare data: A systematic review.

With many anonymization algorithms developed for structured medical health data (SMHD) in the last decade, our systematic review provides a comprehensive bird's eye view of algorithms for SMHD anonymization. This systematic review was conducted according to the recommendations in the Cochrane Handbook for Reviews of Interventions and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Eligible articles from the PubMed, ACM digital library, Medline, IEEE, Embase, Web of Science Collection, Scopus, ProQuest Dissertation, and Theses Global databases were identified through systematic searches.

The global level of harm among surgical professionals during the COVID-19 pandemic: A multinational cross-sectional cohort study.

Background: Health care workers, including surgical professionals, experienced psychological burnout and physical harm during the coronavirus 2019 pandemic. This global survey investigated the coronavirus 2019 pandemic impact on psychological and physical health.

Methods: We conducted a global cross-sectional survey between February 18, 2021 and March 13, 2021.

Visualizing the phenotype diversity: a case study of Alexander disease.

Since only a small number of patients have a rare disease, it is difficult to identify all of the features of these diseases. This is especially true for patients uncommonly presenting with rare diseases. It can also be difficult for the patient, their families, and even clinicians to know which one of a number of disease phenotypes the patient is exhibiting.

COVID-19 recommender system based on an annotated multilingual corpus.

Tracking the most recent advances in Coronavirus disease 2019 (COVID-19)-related research is essential, given the disease's novelty and its impact on society. However, with the publication pace speeding up, researchers and clinicians require automatic approaches to keep up with the incoming information regarding this disease. A solution to this problem requires the development of text mining pipelines; the efficiency of which strongly depends on the availability of curated corpora.