ArticleResearch square2025
Population Risk Predictors of Major Adverse Kidney Events in Patients with Focal Segmental Glomerulosclerosis from the CURE-CKD Registry.
Susanne B Nicholas, Lindsey M Kornowske, Cami R Jones, Kenn B Daratha, Radica Z Alicic, Christina L Reynolds, Joshua J Neumiller, Mark E Bensink, Wu Gong, Keith C Norris and 1 more
Abstract readPreprint
In one paragraphArticle in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
11 authors.
Susanne B NicholasUniversity of California, Los Angeles.
Lindsey M KornowskeProvidence Inland Northwest Health.
Cami R JonesProvidence Inland Northwest Health.
Kenn B DarathaProvidence Inland Northwest Health.
Radica Z AlicicProvidence Inland Northwest Health.
Christina L ReynoldsProvidence Inland Northwest Health.
Joshua J NeumillerWashington State University.
Mark E BensinkTravere Therapeutics Inc.
Wu GongTravere Therapeutics Inc.
Keith C NorrisUniversity of California, Los Angeles.
Katherine R TuttleProvidence Inland Northwest Health.
Funding
OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository CoreOT2HL161847 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GROSS, RACHEL SHARON, HORWITZ, LEORA · 2021 to 2025
$651.0MCOVID-19 Supplement - Center for Innovative TRIals in ChilDrEN and AdulTs (TRIDENT)U24TR001608 · NCATS · DUKE UNIVERSITY · PI BENJAMIN, DANIEL K., BERNARD, GORDON RAPHAEL · 2016 to 2022
$177.0MAIM-AHEAD Coordinating Center - All Four CoresOT2OD032581 · OD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Paul Avillach, Bettina M. Beech · 2021 to 2026
$168.7MUCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1MTransform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0MConProject-002U2CDK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2017 to 2021
$21.0MTraining Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRETZLER, MATTHIAS · 2009 to 2023
$20.3MThe Center for Health Improvement of Minority ElderlyP30AG021684 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CATHERINE A SARKISIAN · 2002 to 2026
$19.7MUCLA-UCI Center for Eliminating Cardio-Metabolic Disparities in Multi-Ethnic Populations (UC END-DISPARITIES)P50MD017366 · NIMHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BODEN-ALBALA, BERNADETTE MARIE · 2021 to 2025
$17.3MCureGN-Penn PCCU01DK100846 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LAWRENCE B. HOLZMAN · 2019 to 2026
$8.3MNetwork CoreU2CDK129496 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Susanne B Nicholas · 2021 to 2026
$2.9MPrediction of Chronic Kidney Disease by Simulation Modeling to Improve the Health of Minority PopulationsR01MD014712 · NIMHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUI, ALEX, NICHOLAS, SUSANNE B · 2020 to 2023
$1.5MNCATS NIH HHS U24 TR001608NCATS NIH HHS UL1 TR001881NCATS NIH HHS UL1 TR002319NHLBI NIH HHS OT2 HL161847NIA NIH HHS P30 AG021684NIDDK NIH HHS U01 DK100846NIDDK NIH HHS U2C DK114886NIDDK NIH HHS U2C DK129496NIDDK NIH HHS U54 DK083912NIH HHS OT2 OD032581NIMHD NIH HHS P50 MD017366NIMHD NIH HHS R01 MD014712
6 · The paper itselfAbstract
Background: Predictors of major adverse kidney events (MAKE) in focal segmental glomerulosclerosis (FSGS) have not been previously explored within large, real-world populations. The study aim was to evaluate population-level predictors of MAKE for patients with FSGS from health system data. Methods: The study population was derived from electronic health records from Providence and University of California Los Angeles Health. Cox proportional hazards models were used to estimate the effects of clinical and non-clinical variables including age, gender, race and ethnicity, health system, health insurance, healthcare utilization, estimated glomerular filtration rate (eGFR), diabetes, hypertension, and prescription medications as predictors of MAKE defined as: ≥40% eGFR decline, kidney failure (eGFR <15 mL/min/1.73 m Results: Adults with FSGS (N=629) were 54% (n=342) men and 53±17 (mean±SD) years old. Baseline eGFR was 60±30 mL/min/1.73 m Conclusions: Substantial loss of kidney function or kidney failure occurred in more than four in ten patients with FSGS by a median of three years. MAKE were predicted by unique population level factors, such as healthcare utilization and insurance type, which may help to identify patients with FSGS, who could most benefit from diagnostic testing and interventions to improve clinical outcomes.
Indexed as
Clinical decision-makingClinical outcomesFocal segmental glomerulosclerosisHealth care utilizationHealth insurancekidney functionPopulation level predictors
Identifiers
PMID40386414
PMCPMC12083681
What OpenQuestion holds
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LicenceCC BY
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