23 research outputs found

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Super Learner Analysis of Real-Time Electronically Monitored Adherence to Antiretroviral Therapy under Constrained Optimization and Comparison to Non-Differentiated Care Approaches for Persons Living with HIV in Rural Uganda

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    Introduction Real‐time electronic adherence monitoring (EAM) systems could inform on‐going risk assessment for HIV viraemia and be used to personalize viral load testing schedules. We evaluated the potential of real‐time EAM (transferred via cellular signal) and standard EAM (downloaded via USB cable) in rural Uganda to inform individually differentiated viral load testing strategies by applying machine learning approaches. Methods We evaluated an observational cohort of persons living with HIV and treated with antiretroviral therapy (ART) who were monitored longitudinally with standard EAM from 2005 to 2011 and real‐time EAM from 2011 to 2015. Super learner, an ensemble machine learning method, was used to develop a tool for targeting viral load testing to detect viraemia (\u3e1000 copies/ml) based on clinical (CD4 count, ART regimen), viral load and demographic data, together with EAM‐based adherence. Using sample‐splitting (cross‐validation), we evaluated area under the receiver operating characteristic curve (cvAUC), potential for EAM data to selectively defer viral load tests while minimizing delays in viraemia detection, and performance compared to WHO‐recommended testing schedules. Results In total, 443 persons (1801 person‐years) and 485 persons (930 person‐years) contributed to standard and real‐time EAM analyses respectively. In the 2011 to 2015 dataset, addition of real‐time EAM (cvAUC: 0.88; 95% CI: 0.83, 0.93) significantly improved prediction compared to clinical/demographic data alone (cvAUC: 0.78; 95% CI: 0.72, 0.86; p = 0.03). In the 2005 to 2011 dataset, addition of standard EAM (cvAUC: 0.77; 95% CI: 0.72, 0.81) did not significantly improve prediction compared to clinical/demographic data alone (cvAUC: 0.70; 95% CI: 0.64, 0.76; p = 0.08). A hypothetical testing strategy using real‐time EAM to guide deferral of viral load tests would have reduced the number of tests by 32% while detecting 87% of viraemia cases without delay. By comparison, the WHO‐recommended testing schedule would have reduced the number of tests by 69%, but resulted in delayed detection of viraemia a mean of 74 days for 84% of individuals with viraemia. Similar rules derived from standard EAM also resulted in potential testing frequency reductions. Conclusions Our machine learning approach demonstrates potential for combining EAM data with other clinical measures to develop a selective testing rule that reduces number of viral load tests ordered, while still identifying those at highest risk for viraemia

    Internalized Stigma, Depressive Symptoms, and the Modifying Role of Antiretroviral Therapy: A Cohort Study in Rural Uganda

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    Depression affects over 40% of people with HIV (PHIV) in low- and middle-income countries, and over half of PHIV report HIV-related internalized stigma. However, few longitudinal studies of PHIV have examined the relationship between HIV-related stigma and depression. Data were analyzed from the 2007-15 Uganda AIDS Rural Treatment Outcomes (UARTO) Study, a cohort of 454 antiretroviral therapy (ART)-naïve PHIV (68% women) starting ART. Our primary outcome was depression symptom severity over the first two years of ART, measured using a locally adapted version of the Hopkins Symptom Checklist; our primary exposure was the 6-item Internalized AIDS-Related Stigma Scale. Both scores were measured at enrollment and at quarterly follow-up visits. We fit linear generalized estimating equations (GEE) regression models to estimate the association between stigma and depression symptom severity, adjusting for potential confounders. We included a stigma × time product term to assess the modifying effect of ART on the association between internalized stigma and depression symptom severity. UARTO participants had a median age of 32 years and median enrollment CD4 count of 217 cells/mm3. Both depression symptom severity and internalized stigma declined on ART, particularly during the first treatment year. In multivariable regression models, depression symptom severity was positively associated with internalized stigma (b = 0.03; 95% confidence interval [CI], 0.02 to 0.04) and negatively associated with ART duration \u3e6 months (b = −0.16; 95% CI, −0.19 to −0.13). The estimated product term coefficient was negative and statistically significant (P = 0.004), suggesting that the association between internalized stigma and depression symptom severity weakened over time on ART. Thus, in this large cohort of PHIV initiating ART in rural Uganda, depression symptom severity was associated with internalized stigma but the association declined with time on ART. These findings underscore the potential value of ART as a stigma reduction intervention for PHIV, particularly during early treatment

    Real-time electronic adherence monitoring plus follow-up improves adherence compared with standard electronic adherence monitoring

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    The impact of real-time electronic monitoring on antiretroviral therapy adherence warrants further study. We conducted an analysis of cohort participants that initially involved standard electronic adherence monitoring (EAM), followed by real-time EAM and home visits for sustained at least 48-h adherence interruptions. Immediately after switching between the two types of EAM, mean adherence among 112 participants increased from 84% to 93% and remained elevated for 6 months (P < 0.001). Real-time EAM is a promising approach for improving adherence

    Treatment as long-term prevention: sustained reduction in HIV sexual transmission risk with use of antiretroviral therapy in rural Uganda.

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    ObjectivesSuppressive antiretroviral therapy (ART) substantially decreases HIV transmission in clinical research settings. We sought to measure the frequency and correlates of periods of transmission risk among individuals taking ART during multiple years of observation in rural, southwestern Uganda.DesignObservational cohort study.MethodsWe collected sexual behavior and viral load data in a Ugandan cohort of people living with HIV/AIDS from the time of ART initiation. We defined each 90-day visit as a potential transmission period if HIV-1 RNA was more than 400 copies/ml and the participant reported sexual transmission risk behavior, defined as unprotected sexual contact with at least 1 HIV-uninfected partners or partners of unknown serostatus in the prior 90 days.ResultsWe evaluated data from 463 individuals on ART over a median 3.5 years of observation and 5293 total study visits. During that time, over half (259, 56%) had detectable viremia or reported sexual transmission risk behavior at least once. However, only 23 (5%) had both simultaneously, at 28 (<1%) of all visits. Transmission sexual behavior was reported at 6% of visits with detectable viremia. In multivariable regression modeling, correlates of transmission risk periods included younger age, lower CD4 cell count, low household asset ownership and increased internalized stigma.ConclusionAlthough detectable viremia and/or sexual transmission risk behavior occurred in over half of individuals, ART reduced periods of HIV transmission risk by over 90% during up to 6 years of observation time. These findings provide further support for provision of ART, along with interventions to promote long-term adherence, to reduce HIV transmission in HIV-endemic settings

    Antiretroviral Therapy Adherence Interruptions Are Associated With Systemic Inflammation Among Ugandans Who Achieved Viral Suppression

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    BACKGROUND: Residual systemic inflammation, which is associated with non-AIDS clinical outcomes, may persist despite viral suppression. We assessed the effect of antiretroviral therapy (ART) adherence interruptions on systemic inflammation among Ugandans living with HIV who were virally suppressed. SETTING: We evaluated adults initiating first-line ART at a regional referral hospital clinic in Mbarara, Uganda. METHODS: Plasma concentrations of interleukin-6 (IL-6), D-dimer, soluble sCD14, sCD163, the kynurenine/tryptophan (K/T) ratio, and CD8 T-cell activation (HLA-DR/CD38 coexpression) were measured at baseline and 6 months after ART initiation among participants who achieved viral suppression (\u3c 400 copies/mL) at 6 months. ART adherence was monitored electronically. Time spent in an adherence interruption was computed as the percentage of days when the running average adherence was ≀ 10%. We fit adjusted linear regressions to evaluate the effect of time spent in an interruption on the log-transformed plasma concentrations of the inflammation biomarkers. RESULTS: Of 282 participants, 70% were women, and the median age was 34 years. At baseline, median CD4 and median log viral load were 135 cells per microliter and 5.1 copies per milliliter, respectively. In the adjusted analysis, a running average adherence of \u3c 10% was associated with higher sCD14 (+3%; P \u3c 0.008), sCD163 (+5%; P = 0.002), D-dimer (+10%; P = 0.007), HLA-DR/CD8 (+3%; P \u3c 0.025), IL-6 (+14%; P = 0.008), and K:T ratio (+5%; P = 0.002). These findings were largely robust to adjustment for average adherence, as well as higher thresholds of running average adherence, albeit with decreased statistical significance. CONCLUSIONS: Increased time spent in adherence interruptions is associated with increased levels of inflammation, despite viral suppression above and beyond average adherence
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