Irish journal of medical science
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Review Meta Analysis
Open versus laparoscopic liver resection of colorectal metastases: a meta-analysis of matched patient populations.
In recent years, the management of colorectal liver metastases (CRLM) has evolved significantly. Laparoscopic liver resection is increasingly being performed, despite a lack of major randomized controlled trial evidence or widespread international consensus. The objective of this review was to compare the short- and long-term outcomes following open and laparoscopic CRLM resection. ⋯ Major complication rates were higher in the open CRLM group (12.5% vs. 8.1%, OR 1.74, 95% CI 1.30-2.33, p = 0.03*), as was overall hospital length of stay (median 7 versus 5.5 days, p = 0.001*). Perioperative mortality was similar between both groups, and there was no significance in 5-year overall survival for open or laparoscopic CRLM resection groups (58% and 61% respectively). Laparoscopic CRLM resection is associated with less blood loss, lower transfusion rates, major complications, and overall hospital length of stay with comparable oncological outcome.
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Review Meta Analysis
Open versus laparoscopic liver resection of colorectal metastases: a meta-analysis of matched patient populations.
In recent years, the management of colorectal liver metastases (CRLM) has evolved significantly. Laparoscopic liver resection is increasingly being performed, despite a lack of major randomized controlled trial evidence or widespread international consensus. The objective of this review was to compare the short- and long-term outcomes following open and laparoscopic CRLM resection. ⋯ Major complication rates were higher in the open CRLM group (12.5% vs. 8.1%, OR 1.74, 95% CI 1.30-2.33, p = 0.03*), as was overall hospital length of stay (median 7 versus 5.5 days, p = 0.001*). Perioperative mortality was similar between both groups, and there was no significance in 5-year overall survival for open or laparoscopic CRLM resection groups (58% and 61% respectively). Laparoscopic CRLM resection is associated with less blood loss, lower transfusion rates, major complications, and overall hospital length of stay with comparable oncological outcome.
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Review
The role of data science in healthcare advancements: applications, benefits, and future prospects.
Data science is an interdisciplinary field that extracts knowledge and insights from many structural and unstructured data, using scientific methods, data mining techniques, machine-learning algorithms, and big data. The healthcare industry generates large datasets of useful information on patient demography, treatment plans, results of medical examinations, insurance, etc. The data collected from the Internet of Things (IoT) devices attract the attention of data scientists. ⋯ Data science and big data analytics can provide practical insights and aid in the decision-making of strategic decisions concerning the health system. It helps build a comprehensive view of patients, consumers, and clinicians. Data-driven decision-making opens up new possibilities to boost healthcare quality.
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Review Meta Analysis
Implicit racial bias among medical graduates and students by an IAT measure: a systematic review and meta-analysis.
Racial implicit bias is an unconscious response and behavior that affects interpersonal interactions and clinical decision-making. ⋯ Our meta-analysis revealed that there was an implicit anti-black attitude among physicians and medical students, but the size of this implicit racial bias was small. Although the level of racial bias in physicians and medical students was low, it could be reduced to the lowest level through informative programs and training in ways to control implicit attitudes.
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Review Meta Analysis
Implicit racial bias among medical graduates and students by an IAT measure: a systematic review and meta-analysis.
Racial implicit bias is an unconscious response and behavior that affects interpersonal interactions and clinical decision-making. ⋯ Our meta-analysis revealed that there was an implicit anti-black attitude among physicians and medical students, but the size of this implicit racial bias was small. Although the level of racial bias in physicians and medical students was low, it could be reduced to the lowest level through informative programs and training in ways to control implicit attitudes.