↓ Skip to main content

Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting

Overview of attention for article published in Journal of Translational Medicine, May 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
3 X users
video
1 YouTube creator

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
29 Mendeley
Title
Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting
Published in
Journal of Translational Medicine, May 2018
DOI 10.1186/s12967-018-1511-x
Pubmed ID
Authors

Chiara Mandoj, Laura Pizzuti, Domenico Sergi, Isabella Sperduti, Marco Mazzotta, Luigi Di Lauro, Antonella Amodio, Silvia Carpano, Anna Di Benedetto, Claudio Botti, Francesca Ferranti, Anna Antenucci, Maria Gabriella D’Alessandro, Paolo Marchetti, Silverio Tomao, Giuseppe Sanguineti, Antonio Giordano, Marcello Maugeri-Saccà, Gennaro Ciliberto, Laura Conti, Patrizia Vici, Maddalena Barba

Abstract

Cancer and coagulation activation are tightly related. The extent to which factors related to both these pathologic conditions concur to patient prognosis intensely animates the inherent research areas. The study herein presented aimed to the development of a tool for the assessment and stratification of risk of death and disease recurrence in early breast cancer. Between 2008 and 2010, two hundreds thirty-five (N: 235) patients diagnosed with stage I-IIA breast cancer were included. Data on patient demographics and clinic-pathologic features were collected in course of face-to-face interviews or actively retrieved from clinical charts. Plasma levels of plasminogen activator inhibitor type 1 (PAI-1), fragment 1 + 2 (F1 + 2), thrombin antithrombin complex (TAT), factor VIII (FVIII), and D-dimer (DD) were measured at breast cancer diagnosis and prior to any therapeutic procedure, including breast surgery. The risk of death was computed in terms of overall survival (OS), which was the primary outcome. For a subset of patients (N = 62), disease free survival (DFS) was also assessed as a measure of risk of disease recurrence. Median follow up was 95 months (range 6-112 months). Mean age at diagnosis was 60.3 ± 13.4 years. Cancer cases were more commonly intraductal carcinomas (N: 204; 86.8%), pT1 (131; 55.7%), pN0 (141; 60%) and G2 (126; 53.6%). Elevated levels of PAI-1 (113; 48.1%) represented the most frequent coagulation abnormality, followed by higher levels of F1 + 2 (97; 41.3%), DD (63; 27.0%), TAT (34; 40%), and FVIII (29; 12.3%). In univariate models of OS, age, pT, DD, FVIII were prognostically relevant. In multivariate models of OS, age (p = 0.043), pT (p = 0.001), levels of DD (p = 0.029) and FVIII (p = 0.087) were confirmed. In the smaller subgroup of 62 patients, lymph node involvement, percent expression of estrogen receptors and levels of FVIII impacted DFS significantly. We developed a risk assessment tool for OS including patient- and cancer-related features along with biomarkers of coagulation activation in a cohort of early BC patients. Further studies are warranted to validate our prognostic model in the early setting and eventually extend its application to risk evaluation in the advanced setting for breast and other cancers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 2 7%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Student > Postgraduate 2 7%
Researcher 2 7%
Other 5 17%
Unknown 14 48%
Readers by discipline Count As %
Medicine and Dentistry 10 34%
Engineering 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Economics, Econometrics and Finance 1 3%
Nursing and Health Professions 1 3%
Other 2 7%
Unknown 12 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 June 2018.
All research outputs
#15,514,515
of 23,057,470 outputs
Outputs from Journal of Translational Medicine
#2,268
of 4,043 outputs
Outputs of similar age
#208,607
of 327,739 outputs
Outputs of similar age from Journal of Translational Medicine
#32
of 97 outputs
Altmetric has tracked 23,057,470 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.