Article in AIDS (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 25% of its field
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
2 · The registry
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literature
Who cites it
1 citing paper in PubMed, 5 citations in OpenAlex.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
8 authors at 1 institution in 1 country.
Charitha GowdaaDivision of Infectious Diseases, Department of Medicine bDepartment of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania cDivision of Endocrinology, Diabetes, & Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland dDepartment of Nutrition, University of Pennsylvania School of Nursing eDivision of Gastroenterology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania fJohn Bell Health Center, Philadelphia Field Initiating Group for HIV Trials, Philadelphia, Pennsylvania gDivision of Infectious Diseases, Department of Medicine, University of California San Francisco School of Medicine hDepartment of Medicine, San Francisco Veterans Affairs, Medical Center, San Francisco, California, USA.
Todd T Brown
Charlene Compher
Kimberly A Forde
Jay Kostman
Pamela A Shaw
Phyllis C Tien
Vincent Lo Re
University of Pennsylvania · US
Funding
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
NATURAL HISTORY OF AIDS IN HOMOSEXUAL MENU01AI035040 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DETELS, ROGER, MARTINEZ-MAZA, OTONIEL · 1993 to 2018
$75.2M
University of Pittsburgh Multicenter AIDS Cohort Study (MACS)U01AI035041 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MARTINSON, JEREMY JAMES, RINALDO, CHARLES R · 1993 to 2018
$71.4M
MULTICENTER AIDS COHORT STUDYU01AI035039 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WOLINSKY, STEVEN M · 1993 to 2018
$66.4M
Women's Interagency HIV Study (WIHS-V)U01AI035004 · NIAID · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI ANASTOS, KATHRYN M., SHARMA, ANJALI · 1993 to 2018
$65.7M
WOMEN'S INTERAGENCY HIV STUDY ORGANIZATION, MANAGEMENT AND COMMUNICATIONSU01AI034989 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AOUIZERAT, BRADLEY E, GREENBLATT, RUTH MARTHA · 1993 to 2018
$65.6M
Multicenter Aids Cohort Study- Part B (Baltimore Site)U01AI035042 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BROWN, TODD T, MARGOLICK, JOSEPH B. · 1993 to 2018
$61.5M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Women's Interagency HIV Study (WIHS) IIIU01AI031834 · NIAID · SUNY DOWNSTATE MEDICAL CENTER · PI GUSTAFSON, DEBORAH R., MINKOFF, HOWARD · 1998 to 2018
$53.5M
WOMEN'S INTERAGENCY HIV STUDY (WIHS) ORGANIZATION AND MANAGEMENTU01AI034994 · NIAID · GEORGETOWN UNIVERSITY · PI KASSAYE, SEBLE G · 1993 to 2018
$52.0M
Women's Interagency HIV Study (WIHS) IV, Chicago ConsortiumU01AI034993 · NIAID · HEKTOEN INSTITUTE FOR MEDICAL RESEARCH · PI COHEN, MARDGE H, FRENCH, AUDREY · 1994 to 2018
$51.0M
WOMENS INTERAGENCY HIV STUDY (WIHS)U01HD032632 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MILAM, JOEL E · 1994 to 2012
objectiveLow muscle mass is associated with reduced survival in HIV, possibly mediated by systemic inflammation. Viral hepatitis coinfection can induce additional inflammation and hepatic dysfunction that may exacerbate low muscle mass. We determined the prevalence of and risk factors for low muscle mass in HIV/viral hepatitis coinfection. DESIGN AND
methodsA cross-sectional study of participants in the Multicenter AIDS Cohort Study and Women's Interagency HIV Study with anthropometry performed after 1 January 2000. Viral hepatitis defined by positive hepatitis B virus surface antigen and/or hepatitis C virus RNA. Low muscle mass defined as less than 10th percentile of age-matched and sex-matched reference values for mid-upper arm circumference. Using multivariable logistic regression, we determined adjusted odds ratios with 95% confidence intervals (CIs) of the association of HIV/viral hepatitis coinfection with low muscle mass and factors associated with low muscle mass in coinfected persons. Analyses adjusted for age, race, BMI, alcohol use, and IDU (also, nadir CD4 cell count and HIV RNA where appropriate).
resultsAmong 3518 participants (164 HIV/viral hepatitis, 223 viral hepatitis alone, 1070 HIV alone, and 2061 uninfected), HIV/viral hepatitis-coinfected persons had a 3.50-fold (95% CI, 1.51-8.09), 1.93-fold (1.17-3.20), and 2.65-fold (1.62-4.35) higher odds of low muscle mass than viral hepatitis-monoinfected, HIV-monoinfected, and uninfected persons, respectively. Lack of HIV RNA suppression [odds ratio, 2.26 (95% CI, 1.10-4.63)] was the only factor associated with low muscle mass in coinfected persons.
conclusionHIV/viral hepatitis-coinfected persons have a higher likelihood of low muscle mass than those with viral hepatitis monoinfection, HIV monoinfection, or neither infection. HIV viremia is an important risk factor for low muscle mass among coinfected persons.
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.
Prevalence and predictors of low muscle mass in HIV/viral hepatitis coinfection. · full record | OpenQuestion