The British journal of surgery
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Meta Analysis
Prognostic role of preoperative circulating systemic inflammatory response markers in primary breast cancer: meta-analysis.
Circulating markers of the systemic inflammatory response are prognostic in several cancers, but their role in operable breast cancer is unclear. A systematic review and meta-analysis of the literature was carried out. ⋯ Current evidence suggests a role for preoperative NLR, dNLR, LMR, PLR, and CRP as prognostic markers in primary operable breast cancer. Further work should define their role in clinical practice, particularly reproducible thresholds and molecular subtypes for which these may be of most value.
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Machine learning is a set of models and methods that can automatically detect patterns in vast amounts of data, extract information, and use it to perform decision-making under uncertain conditions. The potential of machine learning is significant, and breast surgeons must strive to be informed with up-to-date knowledge and its applications. ⋯ Machine learning demonstrated promising applications for improving breast surgery outcomes and patient-centred care. Neveretheless, there remain important limitations and ethical concerns relating to implementing artificial intelligence into everyday surgical practices.
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Immediate breast reconstruction uptake in older women with primary breast cancer: systematic review.
Postmastectomy immediate breast reconstruction (PMIBR) may improve the quality of life of patients with breast cancer, of whom older women (aged 65 years or more) are a growing proportion. This study aimed to assess PMIBR in older women with regard to underlying impediments (if any). ⋯ Uptake of PMIBR in older women is low with definable (and some correctable) barriers.
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Meta Analysis
Perioperative care bundles for the prevention of surgical-site infections: meta-analysis.
Care bundles are used widely to prevent surgical-site infections (SSIs). Recent systematic reviews suggested larger effects from bundles with more interventions. These reviews were largely based on uncontrolled before-after studies and did not consider their biases. The aim of this meta-analysis was to determine the effectiveness of care bundles to prevent SSIs and explore characteristics of effective care bundles. ⋯ Meta-analysis of ITS indicated that perioperative care bundles prevent SSI. This effect is inconsistent across RCTs. Larger bundles were not associated with a larger effect, but the effect may be larger if the care bundle contains a high proportion of evidence-based interventions. No strong evidence for characteristics of effective care bundles was identified.
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Minimally invasive surgical (MIS) techniques are considered the gold standard of surgical interventions, but they have a high environmental cost. With global temperatures rising and unmet surgical needs persisting, this review investigates the carbon and material footprint of MIS and summarizes strategies to make MIS greener. ⋯ The increased environmental impact of robotic surgery may not sufficiently offset the clinical benefit. Utilizing alternative surgical approaches, reusable equipment, repackaging, surgeon preference cards, and increasing staff awareness on open and unused equipment and desflurane avoidance can reduce GHG emissions and waste.