Metastases in the Pineal Region: A Systematic Review of Clinical Features, Management Strategies, and Survival Outcomes

2022 ◽  
Author(s):  
Paolo Palmisciano ◽  
Christian Ogasawara ◽  
Chibueze D. Nwagwu ◽  
Othman Bin Alamer ◽  
Aditya D. Gupta ◽  
...  
Keyword(s):  
Systematic Review ◽  
Clinical Features ◽  
Management Strategies ◽  
Pineal Region ◽  
Survival Outcomes

Dhat syndrome: Systematic review of epidemiology, nosology, clinical features, and management strategies

2021 ◽  
Vol 65 ◽  
pp. 102863
Author(s):  
Sujita Kumar Kar ◽  
Vikas Menon ◽  
SM Yasir Arafat ◽  
Amit Singh ◽  
Anamika Das ◽  
...  
Keyword(s):  
Systematic Review ◽  
Clinical Features ◽  
Management Strategies

Time in range for multiple technologies in type 1 diabetes: a systematic review and network meta-analysis

2020 ◽  
Author(s):  
Anthony Pease ◽  
Clement Lo ◽  
Arul Earnest ◽  
Velislava Kiriakova ◽  
Danny Liew ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 1 Diabetes ◽  
Closed Loop ◽  
Meta Analysis ◽  
Management Strategies ◽  
Glucose Testing ◽  
Closed Loop Systems ◽  
Percent Time ◽  
Time In Range

<b>Background: </b>Time-in-range is a key glycaemic metric, and comparisons of management technologies for this outcome are critical to guide device selection. <p><b> </b></p> <p><b>Purpose: </b>We conducted a systematic review and network meta-analysis to compare and rank technologies for time in glycaemic ranges.</p> <p> </p> <p><b>Data sources: </b>We searched All Evidenced Based Medicine Reviews, CINAHL, EMBASE, MEDLINE, MEDLINE In-Process and other non-indexed citations, PROSPERO, PsycINFO, PubMed, and Web of Science until 24 April, 2019.</p> <p> </p> <p><b>Study selection: </b>We included randomised controlled trials <u>></u>2 weeks duration comparing technologies for management of type 1 diabetes in adults (<u>></u>18 years of age), excluding pregnant women. </p> <p> </p> <p><b>Data extraction: </b>Data were extracted using a predefined template. Outcomes were percent time with sensor glucose levels 3.9–10.0mmol/l (70–180mg/dL), >10.0mmol/L (180mg/dL), and <3.9mmol/L (70mg/dL). </p> <p><b> </b></p> <p><b>Data synthesis: </b>We identified 16,772 publications, of which 14 eligible studies compared eight technologies comprising 1,043 participants. Closed loop systems lead to greater percent time-in-range than any other management strategy and was 17.85 (95% predictive interval [PrI] 7.56–28.14) higher than usual care of multiple daily injections with capillary glucose testing. Closed loop systems ranked best for percent time-in-range or above range utilising surface under the cumulative ranking curve (SUCRA–98.5 and 93.5 respectively). Closed loop systems also ranked highly for time below range (SUCRA–62.2). </p> <p><b> </b></p> <p><b>Limitations: </b>Overall risk of bias ratings were moderate for all outcomes. Certainty of evidence was very low.</p> <p><b> </b></p> <p><b>Conclusions: </b>In the first integrated comparison of multiple management strategies considering time-in-range, we found that the efficacy of closed loop systems appeared better than all other approaches. </p>

scholarly journals Clinical features and outcomes of pregnant women with COVID-19: a systematic review and meta-analysis

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yi-jie Gao ◽  
Lei Ye ◽  
Jia-shuo Zhang ◽  
Yang-xue Yin ◽  
Min Liu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Pregnant Women ◽  
Clinical Features ◽  
Meta Analysis

scholarly journals Clinical features and outcomes of COVID-19 in older adults: a systematic review and meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sunny Singhal ◽  
Pramod Kumar ◽  
Sumitabh Singh ◽  
Srishti Saha ◽  
Aparajit Ballav Dey
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Critically Ill ◽  
Clinical Features ◽  
Older Patients ◽  
Clinical Characteristics ◽  
Meta Analysis ◽  
Severe Infection ◽  
Factors Affecting ◽  
Pooled Prevalence

Abstract Background Few studies have focused on exploring the clinical characteristics and outcomes of COVID-19 in older patients. We conducted this systematic review and meta-analysis to have a better understanding of the clinical characteristics of older COVID-19 patients. Methods A systematic search of PubMed and Scopus was performed from December 2019 to May 3rd, 2020. Observational studies including older adults (age ≥ 60 years) with COVID-19 infection and reporting clinical characteristics or outcome were included. Primary outcome was assessing weighted pooled prevalence (WPP) of severity and outcomes. Secondary outcomes were clinical features including comorbidities and need of respiratory support. Result Forty-six studies with 13,624 older patients were included. Severe infection was seen in 51% (95% CI– 36-65%, I2–95%) patients while 22% (95% CI– 16-28%, I2–88%) were critically ill. Overall, 11% (95% CI– 5-21%, I2–98%) patients died. The common comorbidities were hypertension (48, 95% CI– 36-60% I2–92%), diabetes mellitus (22, 95% CI– 13-32%, I2–86%) and cardiovascular disease (19, 95% CI – 11-28%, I2–85%). Common symptoms were fever (83, 95% CI– 66-97%, I2–91%), cough (60, 95% CI– 50-70%, I2–71%) and dyspnoea (42, 95% CI– 19-67%, I2–94%). Overall, 84% (95% CI– 60-100%, I2–81%) required oxygen support and 21% (95% CI– 0-49%, I2–91%) required mechanical ventilation. Majority of studies had medium to high risk of bias and overall quality of evidence was low for all outcomes. Conclusion Approximately half of older patients with COVID-19 have severe infection, one in five are critically ill and one in ten die. More high-quality evidence is needed to study outcomes in this vulnerable patient population and factors affecting these outcomes.

scholarly journals Risk Factors, and Clinical and Etiological Characteristics of Ischemic Strokes in COVID-19-Infected Patients: A Systematic Review of Literature

2021 ◽  
pp. 1-4
Author(s):  
Simone Vidale
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Clinical Features ◽  
Case Reports ◽  
Clinical Severity ◽  
Large Artery ◽  
Causal Association ◽  
Review Of Literature ◽  
Increased Risk ◽  
Long Time

<b><i>Background and Purpose:</i></b> Coronavirus disease 2019 (CO­VID-19) infection is an ongoing pandemic and worldwide health emergency that has caused important changes in healthcare systems. Previous studies reported an increased risk of thromboembolic events, including stroke. This systematic review aims to describe the clinical features and etiological characteristics of ischemic stroke patients with CO­VID-19 infection. <b><i>Method:</i></b> A literature search was performed in principal databases for studies and case reports containing data concerning risk factors, clinical features, and etiological characteristics of patients infected with COVID-19 and suffering from stroke. Descriptive and analytical statistics were applied. <b><i>Results:</i></b> Overall, 14 articles were included for a total of 93 patients. Median age was 65 (IQR: 55–75) years with prevalence in males. Stroke occurred after a median of 6 days from COVID-19 infection diagnosis. Median National of Institute of Health Stroke Scale (NIHSS) score was 19. Cryptogenic (Cry) strokes were more frequent (51.8%), followed by cardioembolic etiology, and they occurred a long time after COVID-19 diagnosis compared with large-artery atherosclerosis strokes (<i>p</i><sub>trend</sub>: 0.03). The clinical severity of stroke was significantly associated with the severity grade of COVID-19 infection (<i>p</i><sub>trend</sub>: 0.03). <b><i>Conclusions:</i></b> Ischemic strokes in COVID-19-infected patients were clinically severe, affecting younger patients mainly with Cry and cardioembolic etiologies. Further multicenter prospective registries are needed to better describe the causal association and the effect of COVID-19 infection on stroke.

scholarly journals More than 50 long-term effects of COVID-19: a systematic review and meta-analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sandra Lopez-Leon ◽  
Talia Wegman-Ostrosky ◽  
Carol Perelman ◽  
Rosalinda Sepulveda ◽  
Paulina A. Rebolledo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Management Strategies ◽  
Original Data ◽  
Long Term Effects ◽  
Pooled Prevalence ◽  
Attention Disorder ◽  
Initial Recovery ◽  
Meta Analyses

AbstractCOVID-19 can involve persistence, sequelae, and other medical complications that last weeks to months after initial recovery. This systematic review and meta-analysis aims to identify studies assessing the long-term effects of COVID-19. LitCOVID and Embase were searched to identify articles with original data published before the 1st of January 2021, with a minimum of 100 patients. For effects reported in two or more studies, meta-analyses using a random-effects model were performed using the MetaXL software to estimate the pooled prevalence with 95% CI. PRISMA guidelines were followed. A total of 18,251 publications were identified, of which 15 met the inclusion criteria. The prevalence of 55 long-term effects was estimated, 21 meta-analyses were performed, and 47,910 patients were included (age 17–87 years). The included studies defined long-COVID as ranging from 14 to 110 days post-viral infection. It was estimated that 80% of the infected patients with SARS-CoV-2 developed one or more long-term symptoms. The five most common symptoms were fatigue (58%), headache (44%), attention disorder (27%), hair loss (25%), and dyspnea (24%). Multi-disciplinary teams are crucial to developing preventive measures, rehabilitation techniques, and clinical management strategies with whole-patient perspectives designed to address long COVID-19 care.

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