Publications by authors named "Marianne Kit Har Au"

Background: This study compared the clinical and economic outcomes of laparoscopic (LLR) and open liver resection (OLR) for all hepatectomies, including minor and major hepatectomies.

Study Design: This retrospective study included 920 consecutive elective patients undergoing liver resection from 2017 to 2023. Patient demographics, postoperative surgical outcomes, postoperative length of stay (LOS), and costs were compared between LLR and OLR before and after propensity score matching (PSM).

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Background: This study sought to determine the optimal treatment strategy and timing for cholecystectomy in managing gallbladder diseases during pregnancy. It evaluated the effectiveness of conservative management (CM), laparoscopic cholecystectomy (LC), and open cholecystectomy (OC) in pregnancy and compared cholecystectomy outcomes across three trimesters.

Methods: Studies comparing CM, LC, and OC or evaluating cholecystectomy outcomes across trimesters were included in a literature search until February 2024.

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Background: This study evaluated the cost-effectiveness of open, laparoscopic, and robotic liver resection.

Methods: A comprehensive literature review and Bayesian network meta-analysis were conducted. Surface under cumulative ranking area values, mean difference, odds ratio, and 95% credible intervals were calculated for all outcomes.

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Background: This study compared the cost-effectiveness of open (ODP), laparoscopic (LDP), and robotic (RDP) distal pancreatectomy (DP).

Methods: Studies reporting the costs of DP were included in a literature search until August 2023. Bayesian network meta-analysis was conducted, and surface under cumulative ranking area (SUCRA) values, mean difference (MD), odds ratio (OR), and 95% credible intervals (CrIs) were calculated for outcomes of interest.

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This systematic review and meta-analysis aimed to evaluate the impact of prospective payment systems (PPSs) on cholecystectomy. A comprehensive literature review was conducted, examining studies published until December 2023. The review process focused on identifying research across major databases that reported critical outcomes such as length of stay (LOS), mortality, complications, admissions, readmissions, and costs following PPS for cholecystectomy.

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Purpose: This study evaluated the accuracy of the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) calculator in predicting outcomes after hepatectomy for colorectal cancer (CRC) liver metastasis in a Southeast Asian population.

Methods: Predicted and actual outcomes were compared for 166 patients undergoing hepatectomy for CRC liver metastasis identified between 2017 and 2022, using receiver operating characteristic curves with area under the curve (AUC) and Brier score.

Results: The ACS-NSQIP calculator accurately predicted most postoperative complications (AUC > 0.

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This study aims to assess the quality and performance of predictive models for colorectal cancer liver metastasis (CRCLM). A systematic review was performed to identify relevant studies from various databases. Studies that described or validated predictive models for CRCLM were included.

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Background: This study aims to compare the outcomes of high-volume, medium-volume, and low-volume hospitals performing hepatic resections using a network meta-analysis.

Methods: A literature search until June 2023 was conducted across major databases to identify studies comparing outcomes in high-volume, medium-volume, and low-volume hospitals for liver resection. Bayesian network meta-analysis was conducted, and surface under cumulative ranking area values, odds ratio, and mean difference with 95% credible intervals were reported for postoperative mortality, failure-to-rescue, morbidity, length of stay, and hospital costs.

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Purpose: In 2017, the National Surgical Quality Improvement Program (NSQIP) was introduced in the Department of Colorectal Surgery at Singapore General Hospital as a pilot quality improvement initiative. This study aimed to examine the cost-effectiveness of NSQIP by evaluating its effects on surgical outcomes, length of stay (LOS), and costs.

Methods: We retrospectively reviewed patients undergoing colorectal surgery (2017-2020).

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Background: Surgery remains the primary treatment for localized colorectal cancer (CRC). Improving surgical decision-making for elderly CRC patients necessitates an accurate predictive tool.

Aim: To build a nomogram to predict the overall survival of elderly patients over 80 years undergoing CRC resection.

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Purpose: The growth of Singapore's geriatric population, coupled with the rise in colorectal cancer (CRC), has increased the number of colorectal surgeries performed on elderly patients. This study aimed to compare the clinical outcomes and costs of laparoscopic versus open elective colorectal resections in elderly CRC patients over 80 years.

Methods: A retrospective cohort study using data from the American College of Surgeons National Surgery Quality Improvement Program (ACS-NSQIP) identified patients over 80 years undergoing elective colectomy and proctectomy between 2018 and 2021.

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Background: While Singapore attains good health outcomes, Singapore's healthcare system is confronted with bed shortages and prolonged stays for elderly people recovering from surgery in acute hospitals. An Acute Hospital-Community Hospital (AH-CH) care bundle has been developed to assist patients in postoperative rehabilitation. The core concept is to transfer patients out of AHs when clinically recommended and into CHs, where they can receive more beneficial dedicated care to aid in their recovery, while freeing up bed capacities in AHs.

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Purpose: This study compares the cost-effectiveness of open, laparoscopic (LAP), laparoscopic-assisted (LAPA), hand-assisted laparoscopic (HAL), and robotic colorectal surgery using a network meta-analysis.

Methods: Randomized clinical trials (RCTs) evaluating the cost-effectiveness of comparing the five different approaches in colorectal surgery were included in a literature search until September 2022. Bayesian network meta-analysis was conducted, and surface under cumulative ranking area (SUCRA) values, odds ratio (OR), and 95% credible intervals (CrIs) were reported for total costs, surgical costs, operating time, length of stay (LOS), and postoperative outcomes.

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