The Gail model is considered the best available means for estimating risk of breast cancer development, but it has not yet been applied systematically and validated in Turkish female population. This study was designed to evaluate the performance of the Gail model for Turkish female population. Additionally duration of breastfeeding was examined as a possible risk factor. Our analysis included 650 patients with invasive breast carcinoma (group 1) and 640 women with negative results who had undergone a screening mammography on visiting a mammary care unit (group 2). Two groups were compared with regard to individual risk factors included in the Gail model and also duration of breastfeeding. The Gail model was used to predict 5-year risk for each woman. Age and first live birth > or =30 years were associated with an increased relative risk for breast cancer development. Age at menarche, previous breast biopsy, atypical hyperplasia, and number of first degree relatives with breast cancer were found to be non-significant. The Gail model showed 13.3% sensitivity and 92% specificity in estimating the risk of breast cancer development in Turkish women. Positive predictive value was 63%, negative predictive value was 51.9%, and validity index was 53.1%. Duration of breastfeeding was significantly longer in group 1 than 2 (median 17 vs. 13 months). The proportion of parous women with no breastfed was higher in group 1 than 2. The currently used Gail model does not seem to be an appropriate breast cancer risk assessment tool for Turkish female population.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10549-009-0541-8DOI Listing

Publication Analysis

Top Keywords

gail model
28
breast cancer
24
turkish female
16
female population
16
risk breast
12
cancer development
12
duration breastfeeding
12
risk
9
breast
8
cancer risk
8

Similar Publications

In this paper, a deep reinforcement learning (DRL) approach based on generative adversarial imitation learning (GAIL) and long short-term memory (LSTM) is proposed to resolve tracking control problems for robotic manipulators with saturation constraints and random disturbances, without learning the dynamic and kinematic model of the manipulator. Specifically, it limits the torque and joint angle to a certain range. Firstly, in order to cope with the instability problem during training and obtain a stability policy, soft actor-critic (SAC) and LSTM are combined.

View Article and Find Full Text PDF

Generating Realistic and Representative Trajectories with Mobility Behavior Clustering.

Proc ACM SIGSPATIAL Int Conf Adv Inf

November 2023

University of Southern California, Department of Computer Science, Los Angeles, United States.

Accessing realistic human movements (aka trajectories) is essential for many application domains, such as urban planning, transportation, and public health. However, due to privacy and commercial concerns, real-world trajectories are not readily available, giving rise to an important research area of generating synthetic but realistic trajectories. Inspired by the success of deep neural networks (DNN), data-driven methods learn the underlying human decision-making mechanisms and generate synthetic trajectories by directly fitting real-world data.

View Article and Find Full Text PDF

A naturalistic assessment of the relationship between negative affect and loss of control eating over time following metabolic and bariatric surgery.

Appetite

January 2025

Sanford Research, Center for Biobehavioral Research, 120 8th St. South, P.O. Box 2010, Fargo, ND, 58122, USA; Department of Psychiatry and Behavioral Science, School of Medicine and Health Sciences, University of North Dakota, 1919 Elm St. N, Fargo, ND, 58102-2416, USA.

Disordered eating behavior has been linked to suboptimal weight outcomes following metabolic and bariatric surgery (MBS), thereby threatening the most efficacious treatment for severe obesity. While up to 40% of patients may experience loss of control (LOC) eating following MBS, mechanisms driving this behavior are not fully understood. Preliminary evidence suggests that high levels of negative affect (NA) in the moment prompt LOC eating post-MBS; however, it remains unclear whether this momentary relationship is stable or changes over the first several years following surgery.

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!