Publications by authors named "R J Musselman"

Article Synopsis
  • The study aims to compare the healing rates and outcomes of two anal fistula treatments: the traditional LIFT procedure and the newer BioLIFT procedure, which includes a bioprosthetic mesh.* -
  • It will involve a systematic review and meta-analysis of various types of studies, focusing on adult patients undergoing either procedure, assessing primary healing rates, secondary healing rates, and complications.* -
  • The analysis will utilize rigorous methodologies to evaluate the quality of the studies included, and will analyze potential differences in outcomes based on the complexity of the fistula and whether patients have previous LIFT experience.*
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Background: Patients with anemia undergoing elective colorectal cancer surgery are known to have significantly higher rates of postoperative complications and worse outcomes.

Objective: This study aimed to improve rates of anemia screening and treatment in patients undergoing elective colon and rectal resections through a quality improvement initiative.

Design: We compared a historical cohort of patients before implementation of our anemia screening and treatment quality improvement program to a prospective cohort after implementation.

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Purpose: Organ-sparing therapy for early-stage I/IIA rectal cancer is intended to avoid functional disturbances or a permanent ostomy associated with total mesorectal excision (TME). The objective of this phase II trial was to determine the outcomes and organ-sparing rate of patients with early-stage rectal cancer treated with neoadjuvant chemotherapy followed by transanal excision surgery (TES).

Methods: This phase II trial included patients with clinical T1-T3abN0 low- or mid-rectal adenocarcinoma eligible for endoscopic resection who were treated with 3 months of chemotherapy (modified folinic acid-fluorouracil-oxaliplatin 6 or capecitabine-oxaliplatin).

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Background: Older people (≥65 yr) are at increased risk of morbidity and mortality after emergency general surgery. Risk prediction models are needed to guide decision making in this high-risk population. Existing models have substantial limitations and lack external validation, potentially limiting their applicability in clinical use.

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