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Development and validation of a risk score to assist screening for acute HIV-1 infection among men who have sex with men

Overview of attention for article published in BMC Infectious Diseases, June 2017
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Title
Development and validation of a risk score to assist screening for acute HIV-1 infection among men who have sex with men
Published in
BMC Infectious Diseases, June 2017
DOI 10.1186/s12879-017-2508-4
Pubmed ID
Authors

Maartje Dijkstra, Godelieve J. de Bree, Ineke G. Stolte, Udi Davidovich, Eduard J. Sanders, Maria Prins, Maarten F. Schim van der Loeff

Abstract

Early treatment of acute HIV-1 infection (AHI) is beneficial for patients and could reduce onward transmission. However, guidelines on whom to test for AHI with HIV-1 RNA testing are lacking. A risk score for possible AHI based on literature and expert opinion - including symptoms associated with AHI and early HIV-1 - was evaluated using data from the Amsterdam Cohort Studies among men who have sex with men (MSM). Subsequently, we optimized the risk score by constructing two multivariable logistic regression models: one including only symptoms and one combining symptoms with known risk factors for HIV-1 seroconversion, using generalized estimating equations. Several risk scores were generated from these models and the optimal risk score was validated using data from the Multicenter AIDS Cohort Study. Using data from 1562 MSM with 175 HIV-1 seroconversion visits and 17,271 seronegative visits in the Amsterdam Cohort Studies, the optimal risk score included four symptoms (oral thrush, fever, lymphadenopathy, weight loss) and three risk factors (self-reported gonorrhea, receptive condomless anal intercourse, more than five sexual partners, all in the preceding six months) and yielded an AUC of 0.82. Sensitivity was 76.3% and specificity 76.3%. Validation in the Multicenter AIDS Cohort Study resulted in an AUC of 0.78, sensitivity of 56.2% and specificity of 88.8%. The optimal risk score had good overall performance in the Amsterdam Cohort Studies and performed comparable (but showed lower sensitivity) in the validation study. Screening for AHI with four symptoms and three risk factors would increase the efficiency of AHI testing and potentially enhance early diagnosis and immediate treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 16%
Student > Postgraduate 4 9%
Researcher 4 9%
Student > Doctoral Student 4 9%
Student > Ph. D. Student 4 9%
Other 9 20%
Unknown 13 29%
Readers by discipline Count As %
Medicine and Dentistry 11 24%
Nursing and Health Professions 9 20%
Social Sciences 2 4%
Computer Science 1 2%
Immunology and Microbiology 1 2%
Other 5 11%
Unknown 16 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 December 2021.
All research outputs
#14,893,666
of 25,340,976 outputs
Outputs from BMC Infectious Diseases
#3,718
of 8,546 outputs
Outputs of similar age
#164,623
of 323,881 outputs
Outputs of similar age from BMC Infectious Diseases
#77
of 177 outputs
Altmetric has tracked 25,340,976 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,546 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 55% 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 323,881 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 177 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 57% of its contemporaries.