Dataset Information

Impact of Detection Mode in a Large Cohort of Women Taking Part in a Breast Screening Program.

ABSTRACT:

Objective

The aim of this study was to evaluate the existing survival rate and clinical-pathological differences among patients with breast cancer detected by mammographic screening.

Materials and methods

This multicenter cohort study examined 1,248 patients who took part in a national screening program for the early detection of breast cancer over an eight-year period.

Results

Of the two patient subgroups (interval and screening), we found significant differences in the distribution of prognostic factors, with interval cases presenting at a lower mean age (p = 0.002), with higher percentages of human epidermal growth factor receptor 2 (HER-2) or triple negative and lower percentages of luminal A or luminal B carcinomas (p = 0.001), advanced stages (p<0.001), lower hormone receptor expression (p<0.001), poorer differentiation (p<0.001) and lower survival (p<0.001). Among the screening group, patients with tumors detected during the first screening round had a significantly lower mean age (p<0.001), a lower frequency of comorbidities (p = 0.038) and a lower tendency (p<0.1) to be diagnosed as triple negative breast carcinomas than incident cases.

Conclusion

Our results highlight that breast tumors detected during the first screening round are frequently characterized by a more benign phenotype than the rest of the screening subgroups, which could be of help when stratifying the risk of death and selecting the best treatment option for each patient.

SUBMITTER: Garcia M

PROVIDER: S-EPMC8987861 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Impact of Detection Mode in a Large Cohort of Women Taking Part in a Breast Screening Program.

García Marilina M Redondo Maximino M Zarcos Irene I Louro Javier J Rivas-Ruiz Francisco F Téllez Teresa T Pérez Diego D Medina Cano Francisco F Machan Kenza K Domingo Laia L Del Mar Vernet Maria M Padilla-Ruiz Maria M Castells Xavier X Sala Maria M

European journal of breast health 20220401 2

<h4>Objective</h4>The aim of this study was to evaluate the existing survival rate and clinical-pathological differences among patients with breast cancer detected by mammographic screening.<h4>Materials and methods</h4>This multicenter cohort study examined 1,248 patients who took part in a national screening program for the early detection of breast cancer over an eight-year period.<h4>Results</h4>Of the two patient subgroups (interval and screening), we found significant differences in the di ...[more]

PMID: 35445174

Similar Datasets

Project description:BackgroundThe aim of this study was to examine breast density in relation to breast cancer specific survival and to assess if this potential association was modified by mode of detection. An additional aim was to study whether the established association between mode of detection and survival is modified by breast density.MethodsThe study included 619 cases from a prospective cohort, The Malmö Diet and Cancer Study. Breast density estimated qualitatively, was analyzed in relation to breast cancer death, in non-symptomatic and symptomatic women, using Cox regression calculating hazard ratios (HR) with 95% confidence intervals. Adjustments were made in several steps for; diagnostic age, tumour size, axillary lymph node involvement, grade, hormone receptor status, body mass index (baseline), diagnostic period, use of hormone replacement therapy at diagnosis and mode of detection. Detection mode in relation to survival was analyzed stratified for breast density. Differences in HR following different adjustments were analyzed by Freedmans%.ResultsAfter adjustment for age and other prognostic factors, women with dense, as compared to fatty breasts, had an increased risk of breast cancer death, HR 2.56:1.07-6.11, with a statistically significant trend over density categories, p = 0.04. In the stratified analysis, the effect was less pronounced in non-symptomatic women, HR 2.04:0.49-8.49 as compared to symptomatic, HR 3.40:1.06-10.90. In the unadjusted model, symptomatic women had a higher risk of breast cancer death, regardless of breast density. Analyzed by Freedmans%, age, tumour size, lymph nodes, grade, diagnostic period, ER and PgR explained 55.5% of the observed differences in mortality between non-symptomatic and symptomatic cases. Additional adjustment for breast density caused only a minor change.ConclusionsHigh breast density at diagnosis may be associated with decreased breast cancer survival. This association appears to be stronger in women with symptomatic cancers but breast density could not explain differences in survival according to detection mode.

Project description:BackgroundWomen undergoing chemotherapy for the treatment of breast cancer have frequently reported unmet supportive care needs. Moreover, easily accessible and innovative support is lacking.ObjectiveThe purpose of this trial was to determine the effectiveness of an app-based breast cancer e-support program to address women's self-efficacy (primary outcome), social support, symptom distress, quality of life, anxiety, and depression. Secondary objectives included exploring the association between women's health outcomes and the breast cancer e-support usage data.MethodsA multicenter, single-blinded, randomized controlled trial was conducted. A total of 114 women with breast cancer, who were commencing chemotherapy and were able to access internet through a mobile phone, were recruited in the clinics from 2 university-affiliated hospitals in China. Women were randomized either to the intervention group (n=57) receiving breast cancer e-support plus care as usual or the control group (n=57) receiving care as usual alone. The health care team and research assistants collecting data were blinded to the women's group allocation. Bandura's self-efficacy theory and the social exchange theory guided the development of the breast cancer e-support program, which has 4 components: (1) a Learning forum, (2) a Discussion forum, (3) an Ask-the-Expert forum, and (4) a Personal Stories forum. Moderated by an experienced health care professional, the breast cancer e-support program supported women for 12 weeks covering 4 cycles of chemotherapy. Health outcomes were self-assessed through paper questionnaires in clinics at baseline before randomization (T0), after 3 (T1), and 6 months (T2) of follow-ups.ResultsFifty-five participants in the intervention group and 49 in the control group completed the follow-up assessments (response rate: 91.2%). During the 12-week intervention, the log-in frequency ranged from 0 to 774 times (mean 54.7; SD 131.4; median 11; interquartile range, IQR 5-27), and the total usage duration ranged from 0 to 9371 min (mean 1072.3; SD 2359.5; median 100; IQR 27-279). Repeated measures multivariate analysis of covariance (intention-to-treat) found that breast cancer e-support + care as usual participants had significant better health outcomes at 3 months regarding self-efficacy (21.05; 95% CI 1.87-40.22; P=.03; d=0.53), symptom interference (-0.73; 95% CI -1.35 to -.11; P=.02; d=-0.51), and quality of life (6.64; 95% CI 0.77-12.50; P=.03, d=0.46) but not regarding social support, symptom severity, anxiety, and depression compared with care as usual participants. These beneficial effects were not sustained at 6 months. Spearman rank-order correlation showed that the breast cancer e-support usage duration was positively correlated with self-efficacy (r=.290, P=.03), social support (r=.320, P=.02), and quality of life (r=.273, P=.04) at 3 months.ConclusionsThe breast cancer e-support program demonstrated its potential as an effective and easily accessible intervention to promote women's self-efficacy, symptom interference, and quality of life during chemotherapy.Trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12616000639426; www.ANZCTR.org.au/ACTRN12616000639426.aspx (Archived by Webcite at http://www.webcitation.org/6v1n9hGZq).

Dataset Information

Impact of Detection Mode in a Large Cohort of Women Taking Part in a Breast Screening Program.

Objective

Materials and methods

Results

Conclusion

Publications

Impact of Detection Mode in a Large Cohort of Women Taking Part in a Breast Screening Program.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets