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An application of restricted mean survival time in a competing risks setting: comparing time to ART initiation by injection drug use

Overview of attention for article published in BMC Medical Research Methodology, March 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
An application of restricted mean survival time in a competing risks setting: comparing time to ART initiation by injection drug use
Published in
BMC Medical Research Methodology, March 2018
DOI 10.1186/s12874-018-0484-z
Pubmed ID
Authors

Keri L. Calkins, Chelsea E. Canan, Richard D. Moore, Catherine R. Lesko, Bryan Lau

Abstract

Restricted mean survival time (RMST) is an underutilized estimand in time-to-event analyses. Herein, we highlight its strengths by comparing time to (1) all-cause mortality and (2) initiation of antiretroviral therapy (ART) for HIV-infected persons who inject drugs (PWID) and persons who do not inject drugs. RMST to death was determined by integrating the Kaplan-Meier survival curve to 5 years of follow-up. To account for the competing risks of death and loss-to-clinic when estimating time to ART, we calculated RMST to ART initiation by estimating the area between the survival curve for ART initiation and the cumulative incidence curve for death or loss-to-clinic. We standardized all curves using inverse probability of exposure weights. We followed 3044 HIV-positive, ART-naive persons from enrollment into the Johns Hopkins HIV Clinical Cohort from 1996 to 2014. PWID had a - 0.19 year (95% confidence interval (CI): - 0.29, - 0.10) difference in survival over 5 years of follow-up compared to persons who did not inject drugs. There was no difference between the two groups in time not on ART while alive and in clinic (RMST difference = 0.08, 95% CI: -0.10, 0.36). PWID have similar expected time to ART initiation after properly accounting for their greater risk of death and loss-to-clinic.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Student > Ph. D. Student 8 17%
Researcher 7 15%
Student > Bachelor 5 11%
Other 3 6%
Other 7 15%
Unknown 9 19%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Nursing and Health Professions 6 13%
Engineering 3 6%
Mathematics 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 13%
Unknown 16 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 11 March 2021.
All research outputs
#1,979,521
of 23,043,346 outputs
Outputs from BMC Medical Research Methodology
#285
of 2,030 outputs
Outputs of similar age
#45,353
of 332,349 outputs
Outputs of similar age from BMC Medical Research Methodology
#5
of 18 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,030 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 85% 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 332,349 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 86% of its contemporaries.
We're also able to compare this research output to 18 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 72% of its contemporaries.