scholarly journals Erratum to: Risk–benefit assessment of closed intra-abdominal drains after pancreatic surgery: a systematic review and meta-analysis assessing the current state of evidence

2011 ◽  
Vol 396 (5) ◽  
pp. 727-727
Author(s):  
Markus K. Diener ◽  
Keyvan Tadjalli-Mehr ◽  
Moritz N. Wente ◽  
Meinhard Kieser ◽  
Markus W. Büchler ◽  
...  
2010 ◽  
Vol 396 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Markus K. Diener ◽  
Keyvan-Tadjalli Mehr ◽  
Moritz N. Wente ◽  
Meinhard Kieser ◽  
Markus W. Büchler ◽  
...  

2017 ◽  
Vol 48 (2) ◽  
pp. 175-187
Author(s):  
Anita Pollak ◽  
Małgorzata Chrupała-Pniak ◽  
Patrycja Rudnicka ◽  
Mateusz Paliga

Abstract Over the past decade work engagement has gained both business and academia attention. With growing number of studies and meta-analyses the concept of work engagement is one of the pillars of positive work and organizational psychology. This systematic review presents the current state of research on work engagement in Poland. Results confirmed that work-engagement studies have not yet reached the threshold to conduct meta-analysis. The review of measurement methods and synthesis of findings allows to identify strengths and gaps in Polish studies. Discussion of limitations and biases in current research is accompanied with urge to overcome them and develop thriving stream of research on work engagement.


2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Luciana G. Macedo ◽  
Michele C. Battié

Abstract Background There are inconsistencies in findings regarding the relationship of occupational loading with spinal degeneration or structural damage. Thus, a systematic review was conducted to determine the current state of knowledge on the association of occupational loading and spine degeneration on imaging. Methods We performed electronic searches on MEDLINE, CINAHL and EMBASE. We included cross-sectional, case control and cohort studies evaluating occupational loading as the exposure and lumbar spine structural findings on imaging as the outcomes. When possible, results were pooled. Results Seventeen studies were included in the review. Ten studies evaluated the association of occupational loading with disc degeneration (signal intensity), four of which were pooled into a meta-analysis. Of the 10 studies, only two did not identify a relationship between occupation loading and disc degeneration. A meta-analysis including four of the studies demonstrated an association between higher loading and degeneration for all spinal levels, with odds ratios between 1.6 and 3.3. Seven studies evaluated disc height narrowing and seven evaluate disc bulge, with six and five identifying an association of loading and with imaging findings respectively. Three studies evaluated modic changes and one identified and association with occupational load. Conclusions There was moderate evidence suggesting a modest association between occupational loading and disc degeneration (signal intensity), and low-quality evidence of an association between occupational loading and disc narrowing and bulging.


2018 ◽  
Vol 87 (6) ◽  
pp. AB430-AB431
Author(s):  
Aijaz Sofi ◽  
Muhammad Ali Khan ◽  
Ananya Das ◽  
Farhoud Khosravi ◽  
Mankanwal Sachdev

HPB ◽  
2021 ◽  
Vol 23 ◽  
pp. S890
Author(s):  
N. Mowbray ◽  
L. Dickerson ◽  
H. Hutchings ◽  
G. Jenkins ◽  
B. Al-Sarireh

2020 ◽  
Author(s):  
A Hasan Sapci ◽  
H Aylin Sapci

BACKGROUND The use of artificial intelligence (AI) in medicine will generate numerous application possibilities to improve patient care, provide real-time data analytics, and enable continuous patient monitoring. Clinicians and health informaticians should become familiar with machine learning and deep learning. Additionally, they should have a strong background in data analytics and data visualization to use, evaluate, and develop AI applications in clinical practice. OBJECTIVE The main objective of this study was to evaluate the current state of AI training and the use of AI tools to enhance the learning experience. METHODS A comprehensive systematic review was conducted to analyze the use of AI in medical and health informatics education, and to evaluate existing AI training practices. PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols) guidelines were followed. The studies that focused on the use of AI tools to enhance medical education and the studies that investigated teaching AI as a new competency were categorized separately to evaluate recent developments. RESULTS This systematic review revealed that recent publications recommend the integration of AI training into medical and health informatics curricula. CONCLUSIONS To the best of our knowledge, this is the first systematic review exploring the current state of AI education in both medicine and health informatics. Since AI curricula have not been standardized and competencies have not been determined, a framework for specialized AI training in medical and health informatics education is proposed.


2020 ◽  
Author(s):  
P Probst ◽  
F Hüttner ◽  
Ö Meydan ◽  
MW Büchler ◽  
MK Diener

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