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Overview of cancer incidence and mortality among people living with HIV/AIDS in British Columbia, Canada: Implications for HAART use and NADM development

Overview of attention for article published in BMC Cancer, April 2017
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Citations

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38 Dimensions

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92 Mendeley
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Title
Overview of cancer incidence and mortality among people living with HIV/AIDS in British Columbia, Canada: Implications for HAART use and NADM development
Published in
BMC Cancer, April 2017
DOI 10.1186/s12885-017-3229-1
Pubmed ID
Authors

Connie G. Chiu, Danielle Smith, Kate A. Salters, Wendy Zhang, Steve Kanters, David Milan, Julio S.G. Montaner, Andy Coldman, Robert S. Hogg, Sam M. Wiseman

Abstract

The objective of this study is to evaluate the incidence of non-AIDS defining malignancies (NADMs) among people living with HIV/AIDS (PLWHA) in British Columbia, focusing on clinical correlates, highly active antiretroviral therapy (HAART) use, and survival, in order to elucidate mechanisms for NADM development. A retrospective population based analysis was carried out for individuals with HIV/AIDS that began their treatment between 1996 and 2008. There were 145 (2.95%) NADMs and 123 (2.50%) AIDS defining malignancies (ADMs) identified in 4918 PLWHA in the study population. NADMs were represented by a range of cancer types including, most commonly, lung cancer, followed by anal, breast, head/neck, prostate, liver, rectal, and renal cancers. PLWHA had a SIR of 2.05 (CI:1.73, 2.41) for the development of NADMs compared to individuals without an HIV/AIDS diagnosis in the general population. Independent factors significantly associated with a NADM were: male gender, older age, lower CD4 cell counts, previous NADM, absence of HAART (non-HAART versus HAART) and treatment during the early-HAART era (before 2000 versus after 2000). NADMs represent an important source of morbidity for PLWHA. Use of HAART with its associated improvement in immune-restoration, and tailored targeted cancer screening interventions, may be beneficial and improve outcomes in this unique patient population.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 91 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 17%
Student > Master 16 17%
Student > Doctoral Student 7 8%
Student > Bachelor 7 8%
Other 7 8%
Other 15 16%
Unknown 24 26%
Readers by discipline Count As %
Medicine and Dentistry 32 35%
Nursing and Health Professions 11 12%
Agricultural and Biological Sciences 6 7%
Biochemistry, Genetics and Molecular Biology 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 5 5%
Unknown 30 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 June 2018.
All research outputs
#14,929,731
of 22,963,381 outputs
Outputs from BMC Cancer
#3,714
of 8,345 outputs
Outputs of similar age
#183,826
of 308,964 outputs
Outputs of similar age from BMC Cancer
#49
of 136 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,345 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 50% 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 308,964 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 136 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.