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Mashup Score: 0Smoking is a predictor of complications in all types of surgery: a machine learning-based big data study - 2 year(s) ago
Machine learning algorithms are feasible for smoking status classification in large data sets. Current and former smoking associate with overall and critical co
Source: OUP AcademicCategories: Latest Headlines, SurgeryTweet
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Mashup Score: 3Development of a conceptual framework for reporting modifications in surgical innovation: scoping review - 2 year(s) ago
This paper describes the conduct of a scoping review and the development of a conceptual framework for reporting modifications in surgical innovation.
Source: OUP AcademicCategories: Latest Headlines, SurgeryTweet-
🔥Hot off the press in BJSO: Development of a conceptual framework for reporting modifications in surgical innovation: scoping review by Hossaini et al. : https://t.co/VYp4spXExa #SoMe4Surgery #SurgEd #MedTwitter #systematicreview https://t.co/q5mt4XQ7bZ
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Mashup Score: 3Long-term major adverse cardiovascular events following myocardial injury after non-cardiac surgery: meta-analysis - 2 year(s) ago
Whilst it is acknowledged that myocardial injury following non-cardiac surgery is associated with poor cardiovascular outcomes within the immediate perioperativ
Source: OUP AcademicCategories: Latest Headlines, SurgeryTweet-
Our new #metaanalysis by @wannabehawkeye et al. found that Myocardial injury (asympt Trop↗️) after non❤️surg (MINS) is associated with a 25%✝️ and 21% of major ❤️events at 1 year!! However, MINS defintions across studies show high variation! https://t.co/PQdG1eWuwC #SoMe4Surgery
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Mashup Score: 3Training surgeons to optimize communication and symptom management in patients with life-limiting conditions: systematic review - 2 year(s) ago
Surgeons routinely care for patients with life-limiting illness, requiring communication and symptom management skills supported by appropriate training. This s
Source: OUP AcademicCategories: Latest Headlines, SurgeryTweet-
#systematicreview of training surgeons to optimize communication and symptom management in patients with life-limiting conditions shows limited evidence and insufficient direct impact on patient care! https://t.co/uuieXhWBaG #SoMe4Surgery @C_A_Chamberlain https://t.co/SvePKcYNyw
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Mashup Score: 6
ChatGPT, a large language model (LLM), was released on November 30, 2022. This model can generate seemingly intelligent writing by comprehensively answering pro
Source: OUP AcademicCategories: Latest Headlines, SurgeryTweet-
RT @juliomayol: The use of ChatGPT and other large language models in surgical science @BJSOpen @BJSAcademy https://t.co/OWIER0OnH9 #SoMe4…
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Mashup Score: 3Smoking is a predictor of complications in all types of surgery: a machine learning-based big data study - 2 year(s) ago
Machine learning algorithms are feasible for smoking status classification in large data sets. Current and former smoking associate with overall and critical co
Source: OUP AcademicCategories: Latest Headlines, SurgeryTweet-
🚬is a risk factor for complications after🔪➡️💻learning can classify🚬status in large data sets with high🎯, with🚬have increased risk of comp in all surgery types in 🇫🇮 retrospec cohort study: https://t.co/kTnzN29uSs #SoMe4Surgery @BJSAcademy @young_bjs
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Mashup Score: 1Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries - 2 year(s) ago
The aim of this study was to identify the most feasible interventions to reduce the environmental impact of operating theatres. This study adopted a four-phase
Source: OUP AcademicCategories: Latest Headlines, SurgeryTweet-
In light of the publication of the💚🌲💚paper of the 🌐Surg Collab in our 👩👧 journal @BJSurgery (https://t.co/5F9O9E0f2G), we want to know from you which intervention you think is most rapidly implementable in clinical practice to reduce the🏞️impact of surgery: #some4surgery
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Mashup Score: 1Minimally invasive versus open pancreatic surgery: meta-analysis of randomized clinical trials - 2 year(s) ago
This systematic review and meta-analysis presents level 1 evidence of randomized clinical trials (RCTs) comparing minimally invasive (laparoscopic and robotic)
Source: OUP AcademicCategories: Latest Headlines, SurgeryTweet-
#ICYMI MA of randomized controlled trials comparing min invasive w. open pancreatic surgery found ⤵️🏥stay (for distal) and intraop🩸loss in MIPS. Morb & ✝️were comparable, but MIS whipple took longer than open. #SoMe4Surgery #some4hpb https://t.co/jHzl8mz5an https://t.co/KE2T43xhUI
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Mashup Score: 3Implications of the new MRI-based rectum definition according to the sigmoid take-off: multicentre cohort study - 2 year(s) ago
A total of 13.1 per cent of rectal cancer patients are defined as sigmoid cancer patients after reassessment using the MRI-based sigmoid take-off. These sigmoid
Source: OUP AcademicCategories: Latest Headlines, SurgeryTweet-
Cohort study found that using the sigmoid take-off def led to reclassification of 13.1% of rectal 🦀as sigmoid🦀Patients with sigmoid🦀after reclass had ⤵️complication rates, ⤵️🏥stay & >50% would have been offered different treatment options https://t.co/hNcjZormdk #SoMe4Surgery https://t.co/7vmjx9iIkg
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Mashup Score: 2Machine learning models in predicting graft survival in kidney transplantation: meta-analysis - 2 year(s) ago
This systematic review explores the current application of machine learning models and performs a meta-analysis of these models in the prediction of graft survi
Source: OUP AcademicCategories: Latest Headlines, SurgeryTweet-
#systematicreview and MA of💻learning models in kidney TPL found they could improve prediction of graft survival. An overall model including 29 models showed sens & spec of 0.81 and AUC of 0.82! #KidneyTransplant #MachineLearning #SoMe4Surgery #some4tpl https://t.co/6kpXhC6BFz https://t.co/6aarXkAJDj
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#ICYMI the analsis of Gräsbeck et al. on 🚬 as a predictor of overall and critical complications after surgery: https://t.co/kTnzN2a2I0 Effect consistent accross all types of surgery!! #SoMe4Surgery https://t.co/SRvkfzxmKu