Article in AIDS research and human retroviruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 15% 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
4 citing papers in PubMed, 8 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
7 authors at 4 institutions in 1 country.
Karla I GalavizEmory University, Atlanta, Georgia, USA.
Michael F SchneiderDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Phyllis C TienDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Keri N AlthoffDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Mohammed K AliDepartment of Family and Precentive Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Igho OfotokunDivision of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, USA.
Todd T BrownDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Emory University · USJohns Hopkins University · USJohns Hopkins Medicine · USUniversity of California, San Francisco · US
Funding
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PETER W HUNT · 1988 to 2026
$93.6M
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
SF Bay Area MACS/WIHS Combined Cohort StudyU01HL146242 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bradley E Aouizerat, Jennifer Cohen Price · 2019 to 2026
$36.3M
Sex differences in the role of multi-omicsin HIV-associated carotid artery atherosclerosisU01HL146193 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Stephen J Gange, Elizabeth Topper · 2019 to 2026
$35.8M
Clinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS) - Baltimore/Wash DC Center - Admin Supplement: Vision and dual sensory loss in HIV-infected older adultsU01HL146201 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TODD T BROWN, Joseph B. Margolick · 2019 to 2026
$33.7M
Sex differences in the role of multi-omics in HIV-associated carotid artery atherosclerosisU01HL146204 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI David B. Hanna, Anjali Sharma · 2019 to 2026
$33.2M
University of Pittsburgh MWCCS Clinical Research SiteU01HL146208 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Bernard Jonas C Macatangay, CHARLES R RINALDO · 2019 to 2026
$32.2M
Study of Hearing and Balance in Middle Aged and Aging Men and Women in the MACS-WIHS Combined Cohort StudyU01HL146333 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Roger Detels, Matthew James Mimiaga · 2019 to 2026
$32.2M
Northwestern CORE Clinical Research Site: Trans-omics for HIV/AIDS ResearchU01HL146240 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Frank J Palella, Valentina Stosor · 2019 to 2026
$31.5M
MACS/WIHS Combined Cohort Study Clinical Research SiteU01HL146241 · NHLBI · EMORY UNIVERSITY · PI Cecile Delille Lahiri, Anandi Nayan Sheth · 2019 to 2026
$24.2M
UAB-MISS MACS/WIHS Combined Cohort StudyU01HL146192 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James Benjamin Brock, MIRJAM-COLETTE KEMPF · 2019 to 2026
$23.9M
MWCCS: Brooklyn Clinical Research SiteU01HL146202 · NHLBI · SUNY DOWNSTATE MEDICAL CENTER · PI TRACEY ELIZABETH WILSON, Jessica Eve Yager · 2019 to 2026
This study investigated whether the predictive ability of the Finnish Diabetes Risk Score (FINDRISC) can be improved among people with HIV by adding a marker of insulin resistance. In this longitudinal analysis of the Multicenter AIDS Cohort Study and the Women's Interagency HIV Study, HIV-positive and HIV-negative participants without prevalent diabetes were included. FINDRISC score and the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) were calculated at baseline. Cox proportional hazards models were used to examine associations between baseline risk scores and time to incident diabetes (first self-report of diabetes medication use). Model discrimination (Uno's
Indexed as
Diabetes Mellitus, Type 2HIV InfectionsInsulin ResistanceCohort StudiesFemaleFinlandHumansIncidenceMaleRisk FactorsdysglycemiaHIVinsulin resistancerisk prediction
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.