Evidence map›Paper›PMID 36471819›Full record

ArticleKidney medicine2022

GFR Estimation in Potential Living Kidney Donors: Race- and Nonrace-based Equations and Measured GFR.

David Alex Goodson, Megan Rose Chalupsky, Nasim Wiegley, Yihung Huang, Mark Chiu, Heejung Bang, Baback Roshanravan, Brian Yim Young, Ling-Xin Chen

Open access · goldAbstract read
In one paragraph

Article in Kidney medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

9 authors at 1 institution in 1 country.

David Alex GoodsonDepartment of Internal Medicine, University of California, Davis Medical Center, Sacramento, California.
Megan Rose ChalupskyDepartment of Internal Medicine, University of California, Davis Medical Center, Sacramento, California.
Nasim WiegleyDivision of Nephrology, University of California, Davis Medical Center, Sacramento, California.
Yihung HuangDivision of Transplant Nephrology, University of California, Davis Medical Center, Sacramento, California.
Mark ChiuDivision of Transplant Nephrology, University of California, Davis Medical Center, Sacramento, California.
Heejung BangDivision of Biostatistics (HB), University of California, Davis Medical Center, Sacramento, California.
Baback RoshanravanDivision of Nephrology, University of California, Davis Medical Center, Sacramento, California.
Brian Yim YoungDivision of Nephrology, University of California, Davis Medical Center, Sacramento, California.
Ling-Xin ChenDivision of Transplant Nephrology, University of California, Davis Medical Center, Sacramento, California.
University of California Davis Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale & Objective: Recent studies evaluated and proposed new race-neutral, creatinine-based glomerular filtration rate (GFR) estimation equations. The performance of these equations in diverse potential living kidney donors requires study. Study Design: Cross-sectional study. Setting & Participants: 637 potential living kidney donors from one tertiary hospital with serum creatinine concentration measurement and GFR measurement by iohexol plasma clearance between October 2016 and December 2020. Exposure: Creatinine-based estimation of GFR by Chronic Kidney Disease Epidemiology Collaboration (2009, CKDEPI09; 2021, CKDEPI21) and Modification of Diet in Renal Disease equations with and without inclusion of race coefficient, where applicable. Outcomes: Equation bias, precision, accuracy, and accurate classification of GFR as equal to and above or below 80 mL/min/1.73 m Analytical Approach: GFR estimation equation performance compared to measured GFR (mGFR) by iohexol clearance. Results: The median bias of the CKDEPI21 equation underestimated mGFR by 2.8 mL/min/1.73 m Limitations: Limited sample of individuals identifying as Black. Lack of cystatin C data. Conclusions: In our potential living donor sample, GFR estimation by creatinine-based CKDEPI21 is less biased and more accurate than previous creatinine-based estimated GFR equations. When evaluated by race, this summative improvement remains in individuals identifying as Asian, Hispanic, or White. More external validation is needed to assess whether the new equation is an improvement over the previous CKDEPI equation with a race coefficient.

Indexed as

CKDEPIestimated GFRestimated kidney functionglomerular filtration rateliving kidney donormeasured GFRrace coefficient

Identifiers

PMID36471819
PMCPMC9719087
OpenAlexW4306174913

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.