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Victoria Zuk

Researcher at Sunnybrook Research Institute

Publications -  21
Citations -  193

Victoria Zuk is an academic researcher from Sunnybrook Research Institute. The author has contributed to research in topics: Population & Hazard ratio. The author has an hindex of 4, co-authored 21 publications receiving 55 citations.

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Journal ArticleDOI

Association Between Anesthesiologist Volume and Short-term Outcomes in Complex Gastrointestinal Cancer Surgery.

TL;DR: In this paper, the authors examined the association between anesthesiologist volume and short-term postoperative outcomes for complex gastrointestinal (GI) cancer surgery and found that, among adults who underwent complex gastrointestinal cancer surgery, those who received care from high-volume anesthesiologists had a lower risk of adverse post-operative outcomes compared with those who receive care from low-volume surgeons.
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Gaps in the Management of Depression Symptoms Following Cancer Diagnosis: A Population-Based Analysis of Prospective Patient-Reported Outcomes.

TL;DR: The proportion of patients reporting positive DSS after cancer diagnosis receiving psychosocial intervention is low and patients vulnerable to not receiving interventions are identified, who may benefit from additional support.
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Immediate and Long-Term Health Care Support Needs of Older Adults Undergoing Cancer Surgery: A Population-Based Analysis of Postoperative Homecare Utilization.

TL;DR: In this article, the authors evaluated long-term health care support needs by examining homecare use after cancer surgery for older adults with a new cancer diagnosis between 2007 and 2017 who underwent resection, and the outcomes were receipt and intensity of homecare from postoperative discharge to 5 years after surgery.
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All-Cause and Cancer-Specific Death of Older Adults Following Surgery for Cancer.

TL;DR: In this paper, the authors examined all-cause and cancer-specific death throughout 5 years for older adults after cancer resection, using a competing risks approach, the cumulative incidence of cancer and non-cancer death was estimated and stratified by important prognostic factors.