Evidence map›Paper›PMID 40684116›Full record

ArticleBMC nephrology2025

Population risk predictors of major adverse kidney events attributed to 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 read
In one paragraph

Article in BMC nephrology, 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 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Susanne B NicholasDepartment of Medicine, David Geffen School of Medicine at University of California, Los Angeles, 7-155 Factor Building, 10833 Le Conte Blvd, Los Angeles, CA, 90095, USA. sunicholas@mednet.ucla.edu.
Lindsey M KornowskeProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.
Cami R JonesProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.
Kenn B DarathaProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.
Radica Z AlicicProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.
Christina L ReynoldsProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.
Joshua J NeumillerCollege of Pharmacy, Washington State University, Spokane, WA, USA.
Mark E BensinkTravere Therapeutics Inc., San Diego, CA, USA.
Wu GongTravere Therapeutics Inc., San Diego, CA, USA.
Keith C NorrisDepartment of Medicine, David Geffen School of Medicine at University of California, Los Angeles, 7-155 Factor Building, 10833 Le Conte Blvd, Los Angeles, CA, 90095, USA.
Katherine R TuttleProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.

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
$651.0M
COVID-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
$177.0M
AIM-AHEAD Coordinating Center - All Four CoresOT2OD032581 · OD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Paul Avillach, Bettina M. Beech · 2021 to 2026
$168.7M
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
ConProject-002U2CDK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN, IYENGAR, SRINIVAS RAVI V · 2017 to 2021
$21.0M
Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRETZLER, MATTHIAS · 2009 to 2023
$20.3M
The Center for Health Improvement of Minority ElderlyP30AG021684 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Homero Erwin del Pino · 2002 to 2026
$19.7M
UCLA-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, BROWN, ARLEEN F. · 2021 to 2025
$17.3M
CureGN-Penn PCCU01DK100846 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LAWRENCE B. HOLZMAN · 2019 to 2026
$8.3M
Network CoreU2CDK129496 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ALEX BUI · 2021 to 2026
$2.9M
Prediction 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
$1.5M
NIDDK NIH HHS U2C DK129496NIH HHS OT2HL161847NIH HHS OT2 OD032581NIH HHS OT2OD032581NIH HHS P30AG021684NIH HHS P50MD017366NIH HHS R01MD014712NIH HHS U01DK100846NIH HHS U24TR001608NIH HHS U2CDK114886NIH HHS U2CDK129496NIH HHS U54DK083912NIH HHS UL1TR001881NIH HHS UL1TR002319NIH HHS UM1AI109568NIH National Institutes of Health P50MD017366NIMHD NIH HHS R01 MD014712
6 · The paper itself

Abstract

backgroundPredictors 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 attributed to FSGS from health system data.

methodsThe study population was derived from electronic health records from Providence and University of California Los Angeles Health Systems. Identification of FSGS was based on International Classification of Diseases 9/10 diagnostic codes. Cox proportional hazards models were used to estimate the effects of traditional clinical and unique non-traditional 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

resultsAdults 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

conclusionsSubstantial 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. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Glomerulosclerosis, Focal SegmentalRegistriesRenal InsufficiencyAdultAgedFemaleGlomerular Filtration RateHumansMaleMiddle AgedRisk FactorsClinical decision-makingClinical outcomesFocal segmental glomerulosclerosisHealth care utilizationHealth insuranceKidney functionPopulation level predictors

Identifiers

PMID40684116
PMCPMC12276672

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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.