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Racial/ethnic differences in thyroid cancer incidence in the United States, 2007‐2014

Overview of attention for article published in Cancer (0008543X), January 2018
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Article details
Title
Racial/ethnic differences in thyroid cancer incidence in the United States, 2007‐2014
Published in
Cancer (0008543X), January 2018
DOI 10.1002/cncr.31229
Pubmed ID
Authors
Abstract

Small tumor diagnostic tools including ultrasound-guided fine needle aspiration (FNA) and computed tomography (CT) could be causing rising and racially/ethnically different thyroid cancer incidence rates due to variable overdiagnosis of indolent tumors. Papillary tumors and <40 mm tumors are most likely to be overdiagnosed as indolent tumors by FNA and CT. Age-adjusted incidence rates (AAIRs) for the years 2007-2014 were calculated for race/ethnicity (white, Hispanic, Asian, African American, Native American) by patient/tumor characteristics for microscopically confirmed malignant thyroid cancer cases in the Surveillance, Epidemiology, and End Results Program 18 database (SEER 18; N = 93,607). Multivariate analysis determined cancer patients' odds ratios of diagnosis with papillary thyroid carcinoma (vs other histologies) and tumors <40 mm (vs ≥40 mm). For both males and females, there were statistically significant differences in incidence rates between race/ethnicity, with whites having the highest AAIRs and African Americans the lowest AAIRs. Among thyroid cancer patients, tumor size and histology differed significantly by race and insurance coverage after controlling for age, sex, stage, and tumor sequence. Non-whites with thyroid cancer (vs whites) were less associated with small tumors (odds ratio [OR], 0.51-0.79; P < .0001). Medicaid and uninsured patients with thyroid cancer were less associated with tumors <40 mm (OR, 0.55-0.71; 95% confidence interval [CI], 0.49-0.76) and papillary carcinoma (OR, 0.86; 95% CI, 0.80-0.93). The diagnosis of small tumors is occurring at greater rates in whites (vs non-whites) and insured (vs Medicaid and uninsured) patients; consequently, these groups may be vulnerable to unnecessary tests and treatments or potentially aided by early detection. Guidelines that define postdetection interventions may be needed to limit the overtreatment of indolent and small papillary carcinomas. Cancer 2018. © 2018 American Cancer Society.

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Mendeley demographics

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The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 8 11%
Student > Doctoral Student 8 11%
Student > Bachelor 8 11%
Student > Master 7 10%
Researcher 7 10%
Other 12 17%
Unknown 20 29%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 24 34%
Biochemistry, Genetics and Molecular Biology 6 9%
Nursing and Health Professions 3 4%
Agricultural and Biological Sciences 3 4%
Engineering 3 4%
Other 6 9%
Unknown 25 36%
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 31 January 2018.
All research outputs
#27,764,246
of 34,411,289 outputs
Outputs from Cancer (0008543X)
#17,749
of 18,989 outputs
Outputs of similar age
#380,639
of 495,947 outputs
Outputs of similar age from Cancer (0008543X)
#151
of 160 outputs
Altmetric has tracked 34,411,289 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 18,989 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one is in the 4th percentile – i.e., 4% 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 495,947 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.