Evidence map›Paper›PMID 34136786›Full record

ArticleKidney medicine

Urine Biomarkers of Kidney Tubule Health and Incident CKD Stage 3 in Women Living With HIV: A Repeated Measures Study.

Simon B Ascher, Rebecca Scherzer, Michelle M Estrella, Vasantha K Jotwani, Judy Shigenaga, Kimberly A Spaulding, Derek K Ng, Deborah Gustafson, Amanda B Spence, Anjali Sharma and 4 more

Open access · goldAbstract read
In one paragraph

Article in Kidney medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Associations of Urine Biomarkers During Ambulatory Acute Kidney Injury With Subsequent Recovery in Kidney Function: Findings From the SPRINT Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2025
    Trial
  2. Article
  3. Observational
  4. Article
  5. Article
4 · The record

Corrections and comments

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

14 authors at 7 institutions in 1 country.

Simon B AscherKidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, San Francisco, CA.
Rebecca ScherzerKidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, San Francisco, CA.
Michelle M EstrellaKidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, San Francisco, CA.
Vasantha K JotwaniKidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, San Francisco, CA.
Judy ShigenagaKidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, San Francisco, CA.
Kimberly A SpauldingKidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, San Francisco, CA.
Derek K NgDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Deborah GustafsonDepartment of Neurology, The State University of New York Downstate Health Sciences University, Brooklyn, NY.
Amanda B SpenceDivision of Infectious Diseases, Department of Medicine, Georgetown University Medical Center, Washington, DC.
Anjali SharmaDepartment of Medicine, Albert Einstein College of Medicine, Bronx, NY.
Mardge H CohenDepartment of Medicine, Stroger Hospital and Rush University, Chicago, IL.
Chirag R ParikhDivision of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD.
Joachim H IxDivision of Nephrology-Hypertension, University of California, San Diego, San Diego, CA.
Michael G ShlipakKidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, San Francisco, CA.
University of California, San Francisco · USJohns Hopkins University · USAlbert Einstein College of Medicine · USGeorgetown University · USRush University · USState University of New York · USUniversity of California San Diego · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
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
NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1 TR001863NHLBI NIH HHS U01 HL146192NHLBI NIH HHS U01 HL146193NHLBI NIH HHS U01 HL146194NHLBI NIH HHS U01 HL146201NHLBI NIH HHS U01 HL146202NHLBI NIH HHS U01 HL146203NHLBI NIH HHS U01 HL146204NHLBI NIH HHS U01 HL146205NHLBI NIH HHS U01 HL146208NHLBI NIH HHS U01 HL146240NHLBI NIH HHS U01 HL146241NHLBI NIH HHS U01 HL146242NHLBI NIH HHS U01 HL146245NHLBI NIH HHS U01 HL146333NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI050409NIAID NIH HHS P30 AI050410NIA NIH HHS R01 AG034853NIA NIH HHS R21 AG059505
6 · The paper itself

Abstract

RATIONALE &

objectiveSingle measurements of urinary biomarkers reflecting kidney tubule health are associated with chronic kidney disease (CKD) risk in HIV infection, but the prognostic value of repeat measurements over time is unknown. STUDY

designCohort study. SETTING &

participants647 women living with HIV infection enrolled in the Women's Interagency Health Study. EXPOSURES: 14 urinary biomarkers of kidney tubule health measured at 2 visits over a 3-year period. OUTCOME: Incident CKD, defined as estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m ANALYTICAL APPROACH: We used multivariable generalized estimating equations adjusting for CKD risk factors to evaluate baseline, time-updated, and change-over-time biomarker associations with incident CKD. We compared CKD discrimination between models with and without a parsimoniously selected set of biomarkers.

resultsDuring a median 7 years of follow-up, 9.7% (63/647) developed CKD. In multivariable-adjusted analyses, 3 of 14 baseline biomarkers associated with incident CKD. In contrast, 10 of 14 time-updated biomarkers and 9 of 14 biomarkers modeled as change over time associated with incident CKD. Urinary epidermal growth factor (EGF), α LIMITATIONS: Observational design, incident CKD definition limited to eGFR.

conclusionsRepeat urinary biomarker measurements for kidney tubule health have stronger associations with incident CKD compared with baseline measurements and moderately improve CKD discrimination in women living with HIV infection.

Indexed as

albuminuriaChronic kidney diseaseepidermal growth factorHIVα-1 microglobulin

Identifiers

PMID34136786
PMCPMC8178470
OpenAlexW3152657433

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.