Evidence map›Paper›PMID 33319199›Full record

ArticleKidney medicine

The Kidney Failure Risk Equation for Prediction of Allograft Loss in Kidney Transplant Recipients.

Chi D Chu, Elaine Ku, Mohammad Kazem Fallahzadeh, Charles E McCulloch, Delphine S Tuot

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 13 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

5 authors at 1 institution in 1 country.

Chi D ChuDivision of Nephrology, Department of Medicine, University of California San Francisco, San Francisco, CA.
Elaine KuDivision of Nephrology, Department of Medicine, University of California San Francisco, San Francisco, CA.
Mohammad Kazem FallahzadehDivision of Nephrology, Department of Medicine, University of California San Francisco, San Francisco, CA.
Charles E McCullochDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.
Delphine S TuotDivision of Nephrology, Department of Medicine, University of California San Francisco, San Francisco, CA.
University of California, San Francisco · US

Funding

Academic Training Program in NephrologyT32DK007219 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSU, CHI-YUAN · 1986 to 2022
$7.3M
Evaluating the Impact of Guidelines on Physician Prescription Practices in Chronic Kidney DiseaseF32DK122629 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHU, CHI · 2019 to 2020
$157k
NIDDK NIH HHS F32 DK122629NIDDK NIH HHS T32 DK007219
6 · The paper itself

Abstract

RATIONALE &

objectiveThe Kidney Failure Risk Equation (KFRE) is a simple widely validated prediction model using age, sex, estimated glomerular filtration rate, and urinary albumin-creatinine ratio to predict the risk for end-stage kidney disease. Data are limited for its applicability to kidney transplant recipients. STUDY

designValidation study of the KFRE as a post hoc analysis of the Folic Acid for Vascular Outcomes Reduction in Transplantation (FAVORIT) Trial. SETTING &

participantsAdult kidney transplant recipients with functioning kidney allografts at least 6 months posttransplantation from 30 centers in the United States, Canada, and Brazil. Participants with estimated glomerular filtration rates < 60 mL/min/1.73 m PREDICTOR: 2- and 5-year kidney failure risk predicted by the KFRE using variables at study entry. OUTCOME: Graft loss, defined by initiation of dialysis. ANALYTICAL APPROACH: Discrimination of the KFRE was assessed using C statistics; calibration was assessed by plotting predicted risk against observed cumulative incidence of graft loss.

results2,889 participants were included. Within 2 years, 98 participants developed graft loss, 107 participants died with a functioning graft, and 129 participants were lost to follow-up, and by 5 years, 252 had developed graft loss, 265 died with a functioning graft, and 1,543 were lost to follow-up. The KFRE demonstrated accurate calibration and discrimination (C statistic, 0.85 [95% CI, 0.81-0.88] at 2 years and 0.81 [95% CI, 0.78-0.84] at 5 years); performance was similar regardless of donor type (living vs deceased) and graft vintage, with the noted exception of poorer calibration for graft vintage less than 2 years. LIMITATIONS: Unavailable cause of graft loss.

conclusionsThe KFRE accurately predicted the risk for graft loss among adult kidney transplant recipients with graft vintage longer than 2 years and may be a useful prognostic tool for nephrologists caring for kidney transplant recipients.

Indexed as

clinical prediction modelskidney failureKidney transplantrisk prediction

Identifiers

PMID33319199
PMCPMC7729246
OpenAlexW3094853584

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.