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Use of a Magnetic Tracer for Sentinel Lymph Node Detection in Early-Stage Breast Cancer Patients: A Meta-analysis

Overview of attention for article published in Annals of Surgical Oncology, February 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Citations

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77 Mendeley
Title
Use of a Magnetic Tracer for Sentinel Lymph Node Detection in Early-Stage Breast Cancer Patients: A Meta-analysis
Published in
Annals of Surgical Oncology, February 2016
DOI 10.1245/s10434-016-5135-1
Pubmed ID
Authors

Mediget Teshome, Caimiao Wei, Kelly K. Hunt, Alastair Thompson, Kelly Rodriguez, Elizabeth A. Mittendorf

Abstract

Sentinel lymph node (SLN) dissection involves lymphatic mapping and selective removal of clinically negative lymph nodes at highest risk for harboring metastases. Lymphatic mapping is most often performed using radioisotope with or without blue dye (standard tracers). Sienna+(®), a superparamagnetic iron oxide that can be detected using the Sentimag(®) magnetometer, is an alternative mapping agent to identify SLNs that has been investigated in five clinical trials. This meta-analysis was performed to determine if Sienna+(®) is non-inferior for SLN detection when compared to standard tracers. Five clinical trials comparing Sienna+(®) to a standard technique were identified, and data from these studies were used to determine the agreement by Kappa statistic between Sienna+(®) and standard tracers in identifying SLNs and malignant SLNs. The trials included 1683 SLNs identified in 804 patients. Data from the studies were imbalanced, therefore additional agreement indices were utilized to compare techniques. The estimated difference between the techniques was analyzed and a margin of ≤5 % was used to determine non-inferiority. Agreement between the Sienna+(®) and standard tracers was strong for SLN detection by patient [prevalence-adjusted bias-adjusted kappa (PABAK) 0.94, 95 % confidence interval (CI) 0.89-0.98], moderate to substantial for SLN detection by node (PABAK 0.68, 95 % CI 0.54-0.82), and strong for the detection of malignant SLNs by patient (PABAK 0.89, 95 % CI 0.84-0.95). Sienna+(®) demonstrated non-inferiority compared with standard tracers. The Sienna+(®) mapping agent is non-inferior to the standard method for SLN detection in patients with clinically node-negative breast cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 17%
Researcher 11 14%
Student > Bachelor 11 14%
Other 8 10%
Student > Ph. D. Student 5 6%
Other 15 19%
Unknown 14 18%
Readers by discipline Count As %
Medicine and Dentistry 36 47%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Chemistry 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Engineering 3 4%
Other 10 13%
Unknown 17 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 17 October 2023.
All research outputs
#6,051,681
of 24,682,395 outputs
Outputs from Annals of Surgical Oncology
#1,932
of 6,978 outputs
Outputs of similar age
#78,253
of 303,259 outputs
Outputs of similar age from Annals of Surgical Oncology
#20
of 116 outputs
Altmetric has tracked 24,682,395 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,978 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has gotten more attention than average, scoring higher than 72% of its peers.
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 303,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.