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Brian R. Davidson

Researcher at University College London

Publications -  591
Citations -  24232

Brian R. Davidson is an academic researcher from University College London. The author has contributed to research in topics: Liver transplantation & Transplantation. The author has an hindex of 75, co-authored 557 publications receiving 21214 citations. Previous affiliations of Brian R. Davidson include Royal Free Hospital & Leicester Royal Infirmary.

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Pharmacological interventions for prevention or treatment of postoperative pain in people undergoing laparoscopic cholecystectomy.

TL;DR: There is evidence of very low quality that different pharmacological agents including non-steroidal anti-inflammatory drugs, opioid analgesics, and anticonvulsant analgesics reduce pain scores in people at low anaesthetic risk undergoing elective laparoscopic cholecystectomy.
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Incidence and risk factors for the development of prolonged and severe intrahepatic cholestasis after liver transplantation.

TL;DR: A poor preoperative clinical status in conjunction with a suboptimal graft was associated with PSIC after OLT, and acute liver failure, older age, and higher levels of serum sodium and serum potassium were all associated with a reduced likelihood of developing PSIC in the first month.
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Mirizzi syndrome complicating an anomalous biliary tract: a novel cause of a hugely elevated CA19-9.

TL;DR: The possibility of benign disease must be considered even with very high levels of the cancer marker CA19-9 or the opportunity for curative surgery may be missed.
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Infection rates with and without T-tube splintage of common bile duct anastomosis in liver transplantation

TL;DR: Direct duct-to-duct anastomosis resulted in significantly less morbidity due to infection without T-Tube splintage than the use of a T-tube following OLT, but there were no significant differences in leakage and stricture rates.
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In vivo estimation of target registration errors during augmented reality laparoscopic surgery

TL;DR: An in vivo quantitative evaluation of the SmartLiver image-guided surgery system is presented, together with a validation of the evaluation algorithm, which is the first quantitative in vivo analysis of an augmented reality system for laparoscopic surgery.