ArticleJournal of neurovirology2011
Clinical, laboratory, and neuroimaging characteristics of fatigue in HIV-infected individuals.
Article in Journal of neurovirology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00013585 (Phase II, Placebo-Controlled, Double-Blind Study of the Selegiline Transdermal System), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Phase II, Placebo-Controlled, Double-Blind Study of the Selegiline Transdermal System (STS) in the Treatment of HIV-Associated Cognitive Impairment
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Living With Chronic HIV Disease in the Antiretroviral Era: The Impact of Neurocognitive Impairment on Everyday Life Functions.Topics in antiviral medicinePooled it
- Poor subjective sleep reported by people living with HIV is associated with impaired working memory.NeuroImmune pharmacology and therapeutics · 2023Article
- Article
- Article
- Correlates of Fatigue Among South African Adolescents Living with HIV and Receiving Antiretroviral Therapy.AIDS and behavior · 2019Article
- Neural Indicators of Fatigue in Chronic Diseases: A Systematic Review of MRI Studies.Diagnostics (Basel, Switzerland) · 2018Review
- Improvements in Depression and Changes in Fatigue: Results from the SLAM DUNC Depression Treatment Trial.AIDS and behavior · 2016Article
- Fatigue in HIV-Infected People: A Three-Year Observational Study.Journal of pain and symptom management · 2015Observational
- L-carnitine supplementation in patients with HIV/AIDS and fatigue: a double-blind, placebo-controlled pilot study.HIV/AIDS (Auckland, N.Z.) · 2015Article
- Preliminary differences in peripheral immune markers and brain metabolites between fatigued and non-fatigued breast cancer survivors: a pilot study.Brain imaging and behavior · 2014Article
- Cerebral metabolite changes prior to and after antiretroviral therapy in primary HIV infection.Neurology · 2014Article
- Intensity, chronicity, circumstances, and consequences of HIV-related fatigue: a longitudinal study.Clinical nursing research · 2014Article
- Elevated prefrontal myo-inositol and choline following breast cancer chemotherapy.Brain imaging and behavior · 2013Article
- Thalamo-striato-cortical determinants to fatigue in multiple sclerosis.Brain and behavior · 2013Article
- Fatigability as a function of physical activity energy expenditure in older adults.Age (Dordrecht, Netherlands) · 2013Article
- Biomarkers for chronic fatigue.Brain, behavior, and immunity · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
Fatigue is among the most common symptoms reported by HIV-infected individuals. Previous reports suggest that the prevalence of fatigue varies by disease status with rates close to 80% in patients with AIDS. However, most studies have not been conducted in the setting of a controlled trial and have not assessed the association of fatigue with cellular markers of brain activity. Data for this study were derived from baseline and longitudinal evaluations in ACTG A5090, a randomized, double-blind, placebo-controlled trial of the Selegiline Transdermal System for the treatment of HIV-associated cognitive impairment. Fatigue was assessed using the Fatigue Severity Scale with scores of >4 considered "fatigued". Participants in a substudy underwent brain magnetic resonance spectroscopy (MRS) imaging, an in vivo method for assessing brain metabolites associated with neuronal and glia activity. Differences between fatigued and non-fatigued participants were evaluated with respect to demographics and clinical characteristics, plasma and CSF HIV-1 RNA concentration, CD4 counts, and brain metabolites. One hundred and twenty-eight participants were enrolled (88% male, median age = 45 years) and 82 participants (64%, 95% confidence interval 55%, 72%) were fatigued at baseline. MRS was conducted in 62 of the 128 participants. Fatigued participants were significantly younger (p = 0.011), had lower Karnofsky scores (p = 0.032), and had higher levels of depressive symptoms on the Center for Epidemiologic Studies Depression (CES-D) scale (p < 0.001) than non-fatigued participants. Statistically significant differences between fatigued and non-fatigued groups were not detected for plasma and CSF HIV-1RNA concentration, CD4 counts, or on neuropsychological tests. MRS revealed significantly lower levels of the cellular energy marker total creatine (p = 0.002) in the basal ganglia of fatigued participants. Statistically significant differences in other brain metabolites were not detected. Longitudinal data showed that fatigue persisted and worse fatigue at baseline was predictor of future fatigue. Among the cognitive tests, baseline Stroop score was associated with future fatigue. Fatigue was present in 64% of A5090 study participants and persisted during the 24 weeks of follow-up. Fatigue was associated with worse functional performance and depressive mood. Lower cellular energy levels in the basal ganglia, as measured by MRS total creatine concentration, suggest energy dysmetabolism in this brain region. This observation, taken together with the association between fatigue and neuropsychological tests of frontal lobe performance is consistent with the hypothesis of a striatal-cortical circuitry involvement in the symptoms of fatigue.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.