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Who Gets Testosterone? Patient Characteristics Associated with Testosterone Prescribing in the Veteran Affairs System: a Cross-Sectional Study

Overview of attention for article published in Journal of General Internal Medicine, December 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 (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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1 policy source
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106 Mendeley
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Title
Who Gets Testosterone? Patient Characteristics Associated with Testosterone Prescribing in the Veteran Affairs System: a Cross-Sectional Study
Published in
Journal of General Internal Medicine, December 2016
DOI 10.1007/s11606-016-3940-7
Pubmed ID
Authors

Guneet K. Jasuja, Shalender Bhasin, Joel I. Reisman, Joseph T. Hanlon, Donald R. Miller, Anthony P. Morreale, Leonard M. Pogach, Francesca E. Cunningham, Angela Park, Dan R. Berlowitz, Adam J. Rose

Abstract

There has been concern about the growing off-label use of testosterone. Understanding the context within which testosterone is prescribed may contribute to interventions to improve prescribing. To evaluate patient characteristics associated with receipt of testosterone. Cross-sectional. A national cohort of male patients, who had received at least one outpatient prescription within the Veterans Affairs (VA) system during Fiscal Year 2008- Fiscal Year 2012. The study sample consisted of 682,915 non-HIV male patients, of whom 132,764 had received testosterone and a random 10% sample, 550,151, had not. Conditions and medications associated with testosterone prescription. Only 6.3% of men who received testosterone from the VA during the study period had a disorder of the testis, pituitary or hypothalamus associated with male hypogonadism. Among patients without a diagnosed disorder of hypogonadism, the use of opioids and obesity were the strongest predictors of testosterone prescription. Patients receiving >100 mg/equivalents of oral morphine daily (adjusted odds ratio = 5.75, p < 0.001) and those with body mass index (BMI) >40 kg/m(2) (adjusted odds ratio = 3.01, p < 0.001) were more likely to receive testosterone than non-opioid users and men with BMI <25 kg/m(2). Certain demographics (age 40-54, White race), comorbid conditions (sleep apnea, depression, and diabetes), and medications (antidepressants, systemic corticosteroids) also predicted a higher likelihood of testosterone receipt, all with an adjusted odds ratio less than 2 (p < 0.001). In the VA, 93.7% of men receiving testosterone did not have a diagnosed condition of the testes, pituitary, or hypothalamus. The strongest predictors of testosterone receipt (e.g., obesity, receipt of opioids), which though are associated with unapproved, off-label use, may be valid reasons for therapy. Interventions should aim to increase the proportion of testosterone recipients who have a valid indication.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 11%
Student > Bachelor 12 11%
Other 11 10%
Researcher 11 10%
Student > Ph. D. Student 9 8%
Other 21 20%
Unknown 30 28%
Readers by discipline Count As %
Medicine and Dentistry 32 30%
Nursing and Health Professions 8 8%
Social Sciences 8 8%
Psychology 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 14 13%
Unknown 34 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 January 2022.
All research outputs
#4,903,976
of 24,520,187 outputs
Outputs from Journal of General Internal Medicine
#3,013
of 7,955 outputs
Outputs of similar age
#93,422
of 430,174 outputs
Outputs of similar age from Journal of General Internal Medicine
#27
of 67 outputs
Altmetric has tracked 24,520,187 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,955 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one has gotten more attention than average, scoring higher than 62% 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 430,174 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 67 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 61% of its contemporaries.