Evidence map›Paper›PMID 35175342›Full record

Observational studyJAMA network open2022

Association of Intraindividual Difference in Estimated Glomerular Filtration Rate by Creatinine vs Cystatin C and End-stage Kidney Disease and Mortality.

Debbie C Chen, Michael G Shlipak, Rebecca Scherzer, Scott R Bauer, O Alison Potok, Dena E Rifkin, Joachim H Ix, Anthony N Muiru, Chi-Yuan Hsu, Michelle M Estrella

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
11.1field-weighted citation impact, top 1% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Debbie C ChenDivision of Nephrology, Department of Medicine, University of California, San Francisco.
Michael G ShlipakKidney Health Research Collaborative, San Francisco VA Health Care System & University of California, San Francisco.
Rebecca ScherzerKidney Health Research Collaborative, San Francisco VA Health Care System & University of California, San Francisco.
Scott R BauerKidney Health Research Collaborative, San Francisco VA Health Care System & University of California, San Francisco.
O Alison PotokDivision of Nephrology and Hypertension, Department of Medicine, University of California, San Diego.
Dena E RifkinDivision of Nephrology and Hypertension, Department of Medicine, University of California, San Diego.
Joachim H IxDivision of Nephrology and Hypertension, Department of Medicine, University of California, San Diego.
Anthony N MuiruDivision of Nephrology, Department of Medicine, University of California, San Francisco.
Chi-Yuan HsuDivision of Nephrology, Department of Medicine, University of California, San Francisco.
Michelle M EstrellaDivision of Nephrology, Department of Medicine, University of California, San Francisco.
San Francisco VA Health Care System · USVA San Diego Healthcare System · USSan Francisco VA Medical Center · USUniversity of California, San Francisco · US

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Louise C. Walter · 2013 to 2026
$19.9M
Prospective Renal Insufficiency Cohort Evaluation:PRICEU01DK060984 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI COHEN, DEBBIE L · 2001 to 2025
$17.0M
Academic Training Program in NephrologyT32DK007219 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSU, CHI-YUAN · 1986 to 2022
$7.3M
UCSF-Kaiser Urological Epidemiology Research Career Development ProgramK12DK111028 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, ALISON · 2016 to 2025
$5.3M
Age-related changes in skeletal muscle and lower urinary tract symptoms in older adultsK76AG074903 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BAUER, SCOTT RYAN · 2021 to 2025
$1.2M
SEARCH-CKD: The nature of chronic kidney disease and elevated blood pressure in sub-Saharan Africa.K23DK119562 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MUIRU, ANTHONY N · 2021 to 2025
$1.0M
The Clinical Applications of the Difference in Estimated Glomerular Filtration Rate by Cystatin C vs. Creatinine (eGFRDiff)K23DK128604 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POTOK, OLIVIA ALISON · 2021 to 2025
$951k
Longitudinal Associations Between Frailty and Lower Urinary Tract Symptoms in Older MenR03AG067937 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI BAUER, SCOTT RYAN · 2020 to 2021
$307k
Personalizing Angiotensin-Converting Enzyme Inhibitor and Angiotensin Receptor Blocker Therapy in Chronic Kidney DiseaseF32DK130543 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHEN, DEBBIE CATHERINE · 2021 to 2021
$89k
NIA NIH HHS K76 AG074903NIA NIH HHS P30 AG044281NIA NIH HHS R03 AG067937NIDDK NIH HHS F32 DK130543NIDDK NIH HHS K12 DK111028NIDDK NIH HHS K23 DK119562NIDDK NIH HHS K23 DK128604NIDDK NIH HHS T32 DK007219NIDDK NIH HHS U01 DK060984
6 · The paper itself

Abstract

Importance: As cystatin C is increasingly adopted to estimate glomerular filtration rate (eGFR), clinicians will encounter patients in whom cystatin C-based eGFR (eGFRcys) and creatinine-based eGFR (eGFRcr) differ widely. The clinical implications of these differences, eGFRdiffcys-cr, are unknown. Objective: To evaluate the associations of eGFRdiffcys-cr with end-stage kidney disease (ESKD) and mortality among individuals with chronic kidney disease (CKD). Design, Setting, and Participants: This is a prospective cohort study of 4956 individuals with mild to moderate CKD from 7 clinical centers in the United States who enrolled in the Chronic Renal Insufficiency Cohort (CRIC) Study between 2003 to 2018. Statistical analyses were completed in December 2021. Exposures: eGFRdiffcys-cr (eGFRcys - eGFRcr) was calculated at baseline and annually thereafter for 3 years. Because 15 mL/min/1.73 m2 represents a clinically meaningful difference in eGFR that also distinguishes CKD stages, eGFRdiffcys-cr was categorized as: less than -15 mL/min/1.73 m2, -15 to 15 mL/min/1.73 m2, and 15 mL/min/1.73 m2 or greater. Main Outcomes and Measures: The outcomes of ESKD, defined as initiation of maintenance dialysis or receipt of a kidney transplant, and all-cause mortality were adjudicated from study entry until administrative censoring in 2018. Results: Among 4956 participants with mean (SD) age of 59.5 (10.5) years, 2152 (43.4%) were Black, 515 (10.4%) were Hispanic, and 2113 (42.6%) were White. There were 2156 (43.5%) women and 2800 (56.5%) men. At baseline, eGFRcys and eGFRcr values differed by more than 15 mL/min/1.73 m2 in one-third of participants (1638 participants [33.1%]). Compared with participants with similar baseline eGFRcys and eGFRcr (eGFRdiffcys-cr -15 to 15 mL/min/1.73 m2), those in whom eGFRcys was substantially lower than eGFRcr (eGFRdiffcys-cr < -15 mL/min/1.73 m2) had a higher risk of mortality (hazard ratio [HR], 1.86; 95% CI, 1.40-2.48) while those with eGFRdiffcys-cr of 15 mL/min/1.73 m2 or greater had lower risks of ESKD (subHR [SHR], 0.73; 95% CI, 0.59-0.89) and mortality (HR, 0.68; 95% CI, CI 0.58-0.81). In time-updated analyses, participants with eGFRdiffcys-cr less than -15 mL/min/1.73 m2 had higher risks of ESKD (SHR, 1.83; 95% CI, 1.10-3.04) and mortality (HR, 3.03; 95% CI, 2.19-4.19) compared with participants with similar eGFRcys and eGFRcr. Conversely, participants with eGFRdiffcys-cr of 15 mL/min/1.73 m2 or greater had lower risks of ESKD (SHR, 0.50; 95% CI, 0.35-0.71) and mortality (HR, 0.58; 95% CI, 0.45-0.75). Longitudinal changes in eGFRdiffcys-cr were associated with mortality risk. Compared with participants who had similar slopes by eGFRcys and eGFRcr, those with smaller eGFRcr declines had an 8-fold increased mortality risk (HR, 8.20; 95% CI, 6.37-10.56), and those with larger apparent declines by eGFRcr had a lower mortality risk (HR, 0.14; 95% CI, 0.08-0.24). Conclusions and Relevance: These findings suggest that large differences between eGFRcys and eGFRcr were common in persons with CKD. These differences and their changes over time may be informative of ESKD and mortality risks, warranting monitoring of both eGFRcys and eGFRcr in this high-risk population.

Indexed as

Kidney Failure, ChronicAgedCreatinineCystatin CFemaleGlomerular Filtration RateHumansMaleMiddle AgedRenal DialysisRisk FactorsCreatinineCystatin C

Identifiers

PMID35175342
PMCPMC8855239
OpenAlexW4212838871

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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.