This article presents a comparison of microsurgical training of groups with different background. A protocol based on the rat femoral arterial anastomoses was used to provide an objective representation of the microsurgical skills progress. The performance is assessed by consistent (x4) patency of a standardized anastomosis. Three groups of beginner residents with progressive microsurgical experience and one group of experienced surgeons were observed. The patency curve of the beginner-groups was as an abrupt learning curve, and then a plateau was reached. There was no statistically significant difference in the patency rate between the beginner-groups after their first 32 anastomoses. No statistically significant difference was noted when the patency of the advanced group was compared with beginner-groups after different numbers of anastomoses (inverse proportional with their training experience). A slight or a plateau learning curve was found among the experienced group. The learning curve is a useful adjunct in the assessment of training.

Download full-text PDF

Source
http://dx.doi.org/10.1002/micr.20352DOI Listing

Publication Analysis

Top Keywords

learning curve
16
statistically difference
8
difference patency
8
curve
5
training
4
training program
4
learning
4
program learning
4
curve experimental
4
experimental microsurgery
4

Similar Publications

[Initial experience of minimally invasive liver resection at a reference center in Mexico].

Cir Cir

January 2025

Departamento de Cirugía Hepatopancreatobiliar, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.

Objective: Minimally invasive liver resection is employed worldwide for the management of benign and malignant liver lesions. There is no description of postoperative outcomes in the Mexican population. This study aims to report the initial experience in Mexico.

View Article and Find Full Text PDF

Predicting Discharge Destination from Inpatient Rehabilitation Using Machine Learning.

Am J Phys Med Rehabil

December 2024

Department of Physical Medicine and Rehabilitation, Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, 53226.

Predicting discharge destination for patients at inpatient rehabilitation facilities is important as it facilitates transitions of care and can improve healthcare resource utilization. This study aims to build on previous studies investigating discharges from inpatient rehabilitation by employing machine learning models to predict discharge disposition to home versus non-home and explore related factors. Fifteen machine learning models were tested.

View Article and Find Full Text PDF

Postnatal care refers to the support provided to mothers and their newborns immediately after childbirth and during the first six weeks of life, a period when most maternal and neonatal deaths occur. In the 30 countries studied, nearly 40 percent of women did not receive a postpartum care check-up. This research aims to evaluate and compare the effectiveness of machine learning algorithms in predicting postnatal care utilization in Ethiopia and to identify the key factors involved.

View Article and Find Full Text PDF

Background: Identification of mother-infant pairs predisposed to early cessation of exclusive breastfeeding is important for delivering targeted support. Machine learning techniques enable development of transparent prediction models that enhance clinical applicability. We aimed to develop and validate two models to predict cessation of exclusive breastfeeding within one month among infants born after 35 weeks gestation using machine learning techniques.

View Article and Find Full Text PDF

Background: In this study, the preliminary experience of endoscopic nipple-areolar-complex (NAC) sparing total mastectomy were analyzed and reported.

Methods: The medical records of the patients who underwent Endoscopic NAC sparing total mastectomy from November 2019 to June 2022 in a single institute were collected and analyzed. The medical records of their clinicopathologic characteristics, perioperative parameters, postoperative complications, oncologic results were collected retrospectively.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!